阅读说明：本技术 眼病临床数据处理方法及系统 (Eye disease clinical data processing method and system ) 是由 魏文斌 李洋 王倩 杨文利 杨萱 李逸丰 延艳妮 杨婧研 董力 于 2019-08-14 设计创作，主要内容包括：本发明涉及一种眼病临床数据处理方法,包括：发送用于添加眼病研究对象的第一请求消息；接收并显示服务器发送的与第一请求消息对应的第一表单信息；接收眼病研究对象编号、门诊ID号和其它信息并据此生成标签信息；向服务器发送用于生成眼病研究对象的标本采集单的第二请求消息；接收并显示服务器发送的与第二请求消息对应的一个或多个第二表单信息；将标本采集装置的存储位置与标签信息进行关联,生成第一关联信息表；接收眼病研究对象的基本信息,并将眼病研究对象的病情数据和第一关联信息表进行关联,生成第二关联信息表；接收第二信息后,确定眼病研究对象的标本采集装置的存储位置和病情数据。由此,进行了临床数据整合。(The invention relates to an eye disease clinical data processing method, which comprises the following steps: transmitting a first request message for adding an eye disease study; receiving and displaying first form information which is sent by a server and corresponds to the first request message; receiving the eye disease research object number, the outpatient ID number and other information and generating label information according to the eye disease research object number, the outpatient ID number and the other information; sending a second request message for generating a specimen collection sheet of the eye disease research object to the server; receiving and displaying one or more second form information which is sent by the server and corresponds to the second request message; associating the storage position of the specimen collecting device with the label information to generate a first associated information table; receiving basic information of an eye disease research object, and associating the disease condition data of the eye disease research object with the first associated information table to generate a second associated information table; and after receiving the second information, determining the storage position and the disease condition data of the sample collecting device of the eye disease research object. Thereby, clinical data integration is performed.)

1. A method of ophthalmic clinical data processing, the method comprising:

the user terminal sends a first request message for adding an eye disease research object to the server; the first request message includes a user terminal ID;

receiving and displaying first form information which is sent by the server and corresponds to the first request message; the first form information comprises a first table item, a second table item and other table items;

receiving the eye disease study object number corresponding to the first table item, the clinic ID number corresponding to the second table item and other information of the eye disease study object corresponding to the other table items;

generating label information according to the eye disease research object number, the clinic ID number and other information of the eye disease research object;

after receiving a printing instruction, sending the label information to a printing device to generate a printed label;

sending a second request message for generating a specimen collection sheet of the eye disease research object to the server; the second request message includes an eye disease study number;

receiving and displaying one or more second form information which is sent by the server and corresponds to the second request message; the second form information comprises one or more specimen collection forms corresponding to the eye disease research object number;

after receiving a label on a sample collection device corresponding to the sample collection list sent by the scanning device, inquiring a storage equipment state table and allocating a storage position for the sample collection device;

associating the storage position of the specimen collecting device with the label information to generate a first associated information table;

receiving first information associated with the tag information;

determining a storage position of a specimen collecting device corresponding to the first information according to the first information and the first associated information table;

receiving basic information of an eye disease study object; the basic information includes an outpatient ID number of the ocular study and/or other ocular study information;

associating the disease condition data of the eye disease research object with the first associated information table according to the outpatient ID number of the eye disease research object and/or other information of the eye disease research object to generate a second associated information table;

receiving second information associated with the outpatient ID number and/or other information of an ocular study;

and determining the storage position and the disease condition data of the sample collection device of the eye disease research object according to the second information and the second associated information table.

2. The method of claim 1, wherein the subject of an ocular disease comprises: patients with ocular fundus tumors, diabetic retinopathy, age-related macular degeneration (AMD), congenital and dystrophic diseases, high myopia, primary retinal detachment.

3. The method of claim 1, wherein the disease condition data of the subject with an ocular disease comprises: demographic characteristics, chief complaints, current medical history, personal history, family history, past medical history, physical examination, lung function, allergens, past medical history, various image data, and slice data of the subject of the ocular disease.

4. The method of claim 1, wherein said receiving said first entry corresponding eye condition subject number, said second entry corresponding clinic ID number and said other entry corresponding eye condition subject other information further comprises:

the eye study number, the clinic number, and other information for the eye study for each eye study is added to a list of subjects based on time information.

5. The method of claim 4, further comprising:

the user terminal sends a third request message for displaying the follow-up visit schedule to the server; the third request message includes a user terminal ID;

receiving and displaying a follow-up calendar which is sent by the server and corresponds to the third request message; the follow-up calendar includes time information;

displaying the object list according to the time information;

determining a follow-up ocular study subject from the subject list;

adding the follow-up result into the object list.

6. The method of claim 5, wherein the follow-up visit comprises a primary follow-up visit, a secondary follow-up visit, and a tertiary follow-up visit; the first follow-up is a follow-up of hospitalization of the subject of an ocular disease study; the secondary follow-up visits are follow-up visits of application treatment, laser treatment and intravitreal drug injection of an eye disease research object; the third-level follow-up is the follow-up of the object for drug eye disease research.

7. The method of claim 6, further comprising:

generating follow-up visit prompt information according to the follow-up visit grade;

and when the current time and the follow-up visit deadline are within a preset time range, the terminal equipment displays or plays the prompt message.

8. The method according to claim 1, wherein after receiving the label on the specimen corresponding to the specimen acquisition order sent by the scanning device, the method further comprises:

sending a fourth request message for specimen registration to the server; the fourth request message includes an eye disease study number:

receiving third manifest information corresponding to the fourth request message sent by the server, wherein the third manifest information includes a plurality of entries of state information of the specimen;

and receiving the state information of the samples corresponding to the plurality of entries, and storing third entry information comprising the state information of the samples corresponding to the plurality of entries.

9. The method of claim 1, further comprising, prior to the method:

receiving HIV detection information, HBV detection information and HCV detection information of an original eye disease research object;

analyzing the HIV detection information, the HBV detection information and the HCV detection information respectively to generate an HIV analysis result, an HBV analysis result and an HCV analysis result;

determining the original ocular disease subject as an ocular disease subject when the HIV resolution result, the HBV resolution result, and the HCV resolution result are all normal.

10. An ocular disease clinical data processing system, comprising:

a sending module for sending a first request message for adding an eye disease study object to a server; the first request message includes a user terminal ID;

the receiving module is used for receiving and displaying first form information which is sent by the server and corresponds to the first request message; the first form information comprises a first table item, a second table item and other table items;

the receiving module is further configured to receive an eye disease study object number corresponding to the first entry, an outpatient service ID number corresponding to the second entry, and other information of an eye disease study object corresponding to the other entry;

the generation module is used for generating label information according to the eye disease research object number, the clinic ID number and other information of the eye disease research object;

the sending module is further used for sending the label information to printing equipment after receiving a printing instruction so as to generate a printed label;

the sending module is further used for sending a second request message for generating a specimen collection list of the eye disease research object to the server; the second request message includes an eye disease study number;

the receiving module is further configured to receive and display one or more second form information corresponding to the second request message sent by the server; the second form information comprises one or more specimen collection forms corresponding to the eye disease research object number;

the query module is used for querying a storage equipment state table after receiving a label on the sample collection device corresponding to the sample collection list sent by the scanning device, and allocating a storage position for the sample collection device;

the association module is used for associating the storage position of the specimen collection device with the label information to generate a first association information table;

the receiving module is further used for receiving first information associated with the label information;

the determining module is used for determining the storage position of the specimen collecting device corresponding to the first information according to the first information and the first associated information table;

the receiving module is further used for receiving basic information of an eye disease research object; the basic information includes an outpatient ID number of the ocular study and/or other ocular study information;

the correlation module is further used for correlating disease condition data of the eye disease research object with the first correlation information table according to the outpatient clinic ID number of the eye disease research object and/or other information of the eye disease research object to generate a second correlation information table;

the receiving module is further configured to receive second information associated with the clinic ID number and/or other information of an ocular study;

the determining module is further configured to determine a storage location and disease condition data of a specimen collection device of the eye disease study subject according to the second information and the second associated information table.

Technical Field

The invention relates to the technical field of data processing, in particular to a method and a system for processing clinical data of an eye disease.

Background

In the information age, scientific data is called strategic resources. The sharing of scientific data becomes a measuring standard of national comprehensive national strength, becomes a scale for measuring the height of 'national science and technology quality' in the information age, and also becomes a driving force for promoting the sustainable high-speed development of the scientific technology.

With the continuous improvement of the social and economic level of China, the research investment of China in the medical field is showing a rapidly increasing trend. The key departments of hospitals are also undertaking more and more research tasks as important organizations for medical research. Parallel multi-project studies with large samples converted into targets are becoming mainstream, and medical research data also shows a trend of explosive growth.

The biological sample bank is the human tissue sample bank first proposed and established by the countries in europe and america in the middle and late 20 th century. Then, medical institutions in China also establish tumor banks, bone banks, comprehensive human tissue banks and the like. Collecting high-quality human eye pathological and normal tissues and blood-based body fluid samples is a material basis for finding novel biomarkers and novel drug action targets and exploring disease occurrence and development mechanisms. High quality biological samples are also important rate-limiting factors in determining the success of transforming medical studies. At present, biological sample libraries are established by a plurality of international known clinical research centers, such as the U.S. department, Canada, UK, France and the like.

The informatization of the biological sample library not only aims at providing an efficient management means for the collection, storage, management and use of clinical data and biological samples, but also more importantly aims at integrating clinical phenotype data and molecular biological data contained in the biological samples to form a queuing type disease data expression which takes a patient as a center and ranges from clinical appearance to molecular microcosmic, and provides high-quality data and resources which can be used repeatedly for medical research. Therefore, a safe, reliable, professional and easy-to-use biological sample library resource management information system is an important assessment content for checking informatization of the biological sample library, and traditional research data acquisition and management mainly based on manual work is difficult to adapt to the requirements of modern medical research.

Disclosure of Invention

The invention aims to provide an eye disease clinical data processing method and system aiming at the defects of the prior art, and aims to solve the problem that clinical phenotype data and molecular biological data contained in a biological sample cannot be integrated in the prior art.

In order to solve the above problem, in a first aspect, the present invention provides a method for processing clinical data of an eye disease, the method comprising:

the user terminal sends a first request message for adding an eye disease research object to the server; the first request message includes a user terminal ID;

receiving and displaying first form information which is sent by the server and corresponds to the first request message; the first form information comprises a first table item, a second table item and other table items;

receiving the eye disease study object number corresponding to the first table item, the clinic ID number corresponding to the second table item and other information of the eye disease study object corresponding to the other table items;

generating label information according to the eye disease research object number, the clinic ID number and other information of the eye disease research object;

after receiving a printing instruction, sending the label information to a printing device to generate a printed label;

sending a second request message for generating a specimen collection sheet of the eye disease research object to the server; the second request message includes an eye disease study number;

receiving and displaying one or more second form information which is sent by the server and corresponds to the second request message; the second form information comprises one or more specimen collection forms corresponding to the eye disease research object number;

after receiving a label on a sample collection device corresponding to the sample collection list sent by the scanning device, inquiring a storage equipment state table and allocating a storage position for the sample collection device;

associating the storage position of the specimen collecting device with the label information to generate a first associated information table;

receiving first information associated with the tag information;

determining a storage position of a specimen collecting device corresponding to the first information according to the first information and the first associated information table;

receiving basic information of an eye disease study object; the basic information includes an outpatient ID number of the ocular study and/or other ocular study information;

associating the disease condition data of the eye disease research object with the first associated information table according to the outpatient ID number of the eye disease research object and/or other information of the eye disease research object to generate a second associated information table;

receiving second information associated with the outpatient ID number and/or other information of an ocular study;

and determining the storage position and the disease condition data of the sample collection device of the eye disease research object according to the second information and the second associated information table.

In one possible implementation, the ocular disease study includes: patients with ocular fundus tumors, diabetic retinopathy, age-related macular degeneration (AMD), congenital and dystrophic diseases, high myopia, primary retinal detachment.

In one possible implementation, the disease condition data for the subject with an ocular disease includes: demographic characteristics, chief complaints, current medical history, personal history, family history, past medical history, physical examination, lung function, allergens, past medical history, various image data, and slice data of the subject of the ocular disease.

In one possible implementation manner, after receiving the eye disease study number corresponding to the first entry, the clinic ID number corresponding to the second entry, and other information of the eye disease study corresponding to the other entry, the method further includes:

the eye study number, the clinic number, and other information for the eye study for each eye study is added to a list of subjects based on time information.

In one possible implementation, the method further includes:

the user terminal sends a third request message for displaying the follow-up visit schedule to the server; the third request message includes a user terminal ID;

receiving and displaying a follow-up calendar which is sent by the server and corresponds to the third request message; the follow-up calendar includes time information;

displaying the object list according to the time information;

determining a follow-up ocular study subject from the subject list;

adding the follow-up result into the object list.

In one possible implementation, the follow-up visit includes a primary follow-up visit, a secondary follow-up visit, and a tertiary follow-up visit; the first follow-up is a follow-up of hospitalization of the subject of an ocular disease study; the secondary follow-up visits are follow-up visits of application treatment, laser treatment and intravitreal drug injection of an eye disease research object; the third-level follow-up is the follow-up of the object for drug eye disease research.

In one possible implementation, the method further includes:

generating follow-up visit prompt information according to the follow-up visit grade;

and when the current time and the follow-up visit deadline are within a preset time range, the terminal equipment displays or plays the prompt message.

In a possible implementation manner, after receiving the label on the specimen corresponding to the specimen acquisition order sent by the scanning device, the method further includes:

sending a fourth request message for specimen registration to the server; the fourth request message includes an eye disease study number:

receiving third manifest information corresponding to the fourth request message sent by the server, wherein the third manifest information includes a plurality of entries of state information of the specimen;

and receiving the state information of the samples corresponding to the plurality of entries, and storing third entry information comprising the state information of the samples corresponding to the plurality of entries.

In one possible implementation, the method further includes, before the step of:

receiving HIV detection information, HBV detection information and HCV detection information of an original eye disease research object;

analyzing the HIV detection information, the HBV detection information and the HCV detection information respectively to generate an HIV analysis result, an HBV analysis result and an HCV analysis result;

determining the original ocular disease subject as an ocular disease subject when the HIV resolution result, the HBV resolution result, and the HCV resolution result are all normal.

In a second aspect, the present invention provides an ophthalmic clinical data processing system, the system comprising:

a sending module for sending a first request message for adding an eye disease study object to a server; the first request message includes a user terminal ID;

the receiving module is used for receiving and displaying first form information which is sent by the server and corresponds to the first request message; the first form information comprises a first table item, a second table item and other table items;

the receiving module is further configured to receive an eye disease study object number corresponding to the first entry, an outpatient service ID number corresponding to the second entry, and other information of an eye disease study object corresponding to the other entry;

the generation module is used for generating label information according to the eye disease research object number, the clinic ID number and other information of the eye disease research object;

the sending module is further used for sending the label information to printing equipment after receiving a printing instruction so as to generate a printed label;

the sending module is further used for sending a second request message for generating a specimen collection list of the eye disease research object to the server; the second request message includes an eye disease study number;

the receiving module is further configured to receive and display one or more second form information corresponding to the second request message sent by the server; the second form information comprises one or more specimen collection forms corresponding to the eye disease research object number;

the query module is used for querying a storage equipment state table after receiving a label on the sample collection device corresponding to the sample collection list sent by the scanning device, and allocating a storage position for the sample collection device;

the association module is used for associating the storage position of the specimen collection device with the label information to generate a first association information table;

the receiving module is further used for receiving first information associated with the label information;

the determining module is used for determining the storage position of the specimen collecting device corresponding to the first information according to the first information and the first associated information table;

the receiving module is further used for receiving basic information of an eye disease research object; the basic information includes an outpatient ID number of the ocular study and/or other ocular study information;

the correlation module is further used for correlating disease condition data of the eye disease research object with the first correlation information table according to the outpatient clinic ID number of the eye disease research object and/or other information of the eye disease research object to generate a second correlation information table;

the receiving module is further configured to receive second information associated with the clinic ID number and/or other information of an ocular study;

the determining module is further configured to determine a storage location and disease condition data of a specimen collection device of the eye disease study subject according to the second information and the second associated information table.

In a third aspect, the invention provides an apparatus comprising a memory for storing a program and a processor for performing the method of any of the first aspects.

In a fourth aspect, the present invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method according to any one of the first aspect.

In a fifth aspect, the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method of any of the first aspects.

By applying the eye disease clinical data processing method and system provided by the embodiment of the invention, the clinical data of the eye disease research object can be integrated, and the specimen and the eye disease research object are associated, so that the specimen of the eye disease research object can be conveniently and rapidly searched, and the searching efficiency is improved. The eye disease clinical data management system is established, a unified data platform is provided for large-scale structured case collection, epidemiological investigation, follow-up visits, specimen collection, data analysis and the like, and ordered, standardized and shared management of all information is provided for clinical and basic research.

Drawings

Fig. 1 is a flowchart of a method for processing clinical data of an eye disease according to an embodiment of the present invention;

FIG. 2 is a diagram illustrating first form information provided by an embodiment of the present invention;

FIG. 3 is a diagram illustrating second form information according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an eye disease clinical data processing system according to a second embodiment of the present invention;

fig. 5 is another schematic structural diagram of an eye disease clinical data processing system according to a second embodiment of the present invention.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be further noted that, for the convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

Clinically, many common fundus diseases seriously threaten visual functions of patients at all ages, even cause visual loss, and bring great pain to the patients. For example, fundus tumors not only affect the visual function of patients, but malignant tumors are more likely to metastasize, recur, and even be dangerous to the life of patients. China is a big diabetic country, and the prevalence rate is as high as 10%. Among patients with 10 years of diabetes, 85% of patients with type 1 diabetes and 50% of patients with type 2 diabetes suffer from Diabetic Retinopathy (DR) of different degrees, and thus, the incidence of DR in China is high. Meanwhile, the disease is hidden, and the sensible clinical symptoms of the patient appear when the disease mostly progresses to the late stage, so that the treatment is difficult and the prognosis is poor. Thus, DR will severely affect the eye health of people in China. In addition, age-related macular degeneration (AMD), retinal detachment, high myopia, and various congenital degenerative and dystrophic diseases such as Stargdt's disease, Best disease, vitelliform macular dystrophy, congenital retinal detachment, etc., all cause severe visual impairment. Aiming at the diseases, a clinical information data management system and a tissue biological sample library are established, the collection of clinical information (including complete medical history information and various image data) and biological tissue specimens is carried out, and regular follow-up observation is carried out, so that the system plays an extremely important role in monitoring the disease progress of a patient, understanding the occurrence development and prognosis of the disease, and exploring the pathophysiology basis and possible occurrence development mechanism of the disease, thereby improving the levels of clinical basic diagnosis, treatment and prognosis evaluation.

Fig. 1 is a flowchart of a method for processing clinical data of an eye disease according to an embodiment of the present invention. The application scene of the method is a medical institution, and the execution main body of the method is user terminal equipment. By way of example and not limitation, the terminal device includes, but is not limited to, a device having processing capabilities, such as a desktop, a cell phone, and the like. As shown in fig. 1, the method comprises the steps of:

step 101, sending a first request message for adding an eye disease research object to a server; the first request message includes a user terminal ID.

The user terminal is provided with a sample management system, and a manager logs in the sample management system through a user name and a password.

The subject of the eye disease study is the subject in need of the study.

In one example, the eye disease subject may be a patient with a fundus tumor, diabetic retinopathy, age-related macular degeneration (AMD), congenital and dystrophic disease, high myopia, primary retinal detachment.

When a new eye disease study needs to be added, the user terminal may generate a first request message when a "registration" button in "registration targets" under the "group management" button is triggered, and transmit the first request message to the server to perform the addition of the eye disease study.

Further, before step 101, the method further includes:

firstly, receiving Human Immunodeficiency Virus (HIV) detection information, Hepatitis B Virus (HBV) detection information and Hepatitis C Virus (HCV) detection information of an original eye disease study object;

then, analyzing the HIV detection information, the HBV detection information and the HCV detection information respectively to generate an HIV analysis result, an HBV analysis result and an HCV analysis result;

and finally, when the HIV analysis result, the HBV analysis result and the HCV analysis result are normal, determining the original ophthalmopathy research object as the ophthalmopathy research object.

Therefore, the original eye disease research object passing the detection is determined as the eye disease research object, and the accuracy of subsequent clinical data is ensured.

102, receiving and displaying first form information which is sent by a server and corresponds to a first request message; the first form information includes a first table entry, a second table entry and other table entries.

Specifically, referring to fig. 2, the first form information includes a plurality of entries, including but not limited to: eye disease study object code, name, gender, date of birth, date of filing, age of filing, clinic ID, identification number, house number 1 and house number 2.

The eye disease study object number may be used as a first table entry, the clinic ID may be used as a second table entry, and the remaining table entries may be used as other table entries.

Step 103, receiving the eye disease study object number corresponding to the first table item, the clinic ID number corresponding to the second table item, and other information of the eye disease study object corresponding to other table items.

Specifically, at the first table entry, corresponding to eye disease study object codes, the eye disease study object codes may be sorted according to time, for example, 4 eye disease study objects are newly added in 12, 22 and 2013, and the eye disease study object codes of the 4 eye disease study objects may be named as: OP01-421, OP01-422, OP01-423 and OP 01-424.

At the second entry, the corresponding clinic ID, by way of example and not limitation, may be a clinic card number, and the clinic card number may or may not be associated with a medical insurance card, which is not limited in this application.

And step 104, generating label information according to the eye disease research object number, the clinic ID number and other information of the eye disease research object.

Specifically, the tag information may be generated according to the content information corresponding to the table entry.

And step 105, after receiving the printing instruction, sending the label information to the printing equipment to generate a printed label.

Specifically, when the "print label" button is triggered, the user terminal may send a print request message including label information to the printing device, and the printing device may print the label information to generate a printed label.

In one example, the number of printed labels may be plural. Can be stuck on a treatment card and can also be stuck on a subsequent sample collecting device.

Step 106, sending a second request message for generating a specimen collection sheet of the eye disease research object to a server; the second request message includes an eye disease study number.

After the basic information of the eye disease research object is input, the sample of the eye disease research object can be obtained.

Referring to fig. 3, when "specimen collection" in "collection management" is triggered, the eye disease study object codes are displayed in a list, and when a certain eye disease study object code in the list is triggered, the user terminal sends the generated second request message to the server.

Step 107, receiving and displaying one or more second form information corresponding to the second request message sent by the server; the second form information includes one or more specimen acquisition sheets corresponding to the eye disease study object number.

With continued reference to fig. 3, when the eye disease study number included in the second request message is 1, the server transmits one piece of second form information, and when the eye disease study number included in the second request message is plural, the server transmits plural pieces of second form information, each corresponding to the eye disease study number.

Specifically, one form information includes a number, a name, a specimen type, and a remark. Under one form information, a plurality of sub-forms are included. The one or more specimen samples correspond to whole blood, plasma, serum, biological fluid, or a partially processed biological sample such as DNA, RNA, etc. of the subject of the ocular disease.

In one example, under the second form information, a plurality of sub-forms are included, the sub-forms are numbered 1, 2, 3, 4, and the corresponding names are, in order, collecting venous blood (EDTA), collecting procoagulant blood (fasting), collecting procoagulant blood (2h), collecting urine, and the specimen types are, in order: venous blood (EDTA), procoagulant (fasting), procoagulant (2h), and urine.

The second form information may then be sent to the printing device to cause the printing device to print the second form.

Finally, the medical staff can paste the label on the specimen collecting device corresponding to the content of the second form according to the second form. For example, in a horse designated as P000006, 4 specimens of venous blood (EDTA), procoagulant blood (fasting), procoagulant blood (2h) and urine need to be collected, and labels may be attached to the specimen collecting devices of the 4 specimens, respectively.

And 108, after receiving the label on the sample collection device corresponding to the sample collection list sent by the scanning device, inquiring a storage equipment state table and allocating a storage position for the sample collection device.

After the specimen is collected, the collected specimen needs to be stored so as to store the specimen.

Specifically, the scanning device may be a scanning gun connected to the terminal device, and the eye disease study object number is obtained by scanning the label of the sample collection device corresponding to the sample collection list through the scanning gun. Meanwhile, the state table of the storage device in the storage space is inquired, and when the state of the state table of the storage device indicates that the storage device is idle, the specimen collection device is stored.

Wherein the storage device may be a refrigerator. The state of the refrigerator can be displayed on the terminal device.

Step 109, the storage position of the specimen collection device is associated with the tag information to generate a first associated information table.

Wherein the storage location of the specimen collection device may include a refrigerator number, such as refrigerator number 001-A1-A10.

At step 110, first information associated with the tag information is received.

Wherein the first information may be one or more of eye disease subject code, name, gender, birth date, filing date, and filing age.

And step 111, determining the storage position of the specimen collecting device corresponding to the first information according to the first information and the first related information table.

In one example, when the first information is the eye disease study object code, the storage location of the specimen collecting device of the eye disease study object corresponding to the eye disease study object code can be obtained through the first related information table.

In another example, when the first information is a filing date, the storage locations of the specimen collection devices of all the eye disease study objects corresponding to the filing date can be obtained through the first related information table.

In yet another example, when the first information is a filing age, the storage locations of the specimen collection devices of all eye disease study subjects at the filing age can be obtained through the first related information table. Thus, the sample collecting device of the research object and the information of the research object are related, and the sample data of the collected research object is processed.

Step 112, receiving basic information of an eye disease research object; the basic information includes the outpatient ID number of the eye disease subject and/or other information of the eye disease subject;

wherein, the clinical data of the eye disease comprise disease data and sample-related data. The specimen-related data includes information such as the specimen itself and the storage location of the specimen.

The user terminal provided with the sample management system is in wired or wireless communication with the user terminal recording patient condition data, and receives basic information of the patient. The basic information includes basic information of an eye disease study object and basic information of a non-eye disease study object. When a patient in the user terminal in which patient condition data is recorded is also the subject of eye disease study, the patient condition data can be associated with the specimen-related information through the basic information.

The disease condition data includes basic information, demographic characteristics, chief complaints, current disease history, personal history, family history, past history, physical examination, lung function, allergen, past medication history, various image data and section data of the eye disease study object. Various image data include, but are not limited to, fundus images (external eye image + macula lutea + optic disc), Optical Coherence Tomography (OCT), single a ultrasound, corneal topography, abdominal ultrasound, among others. Slice data includes, but is not limited to: tumor section, chest plain film.

The basic information includes the outpatient ID number and other information for the subject of the eye disease study. Other information includes: name, identification card number, sex, place of birth, etc.

The demographic characteristics include ethnicity, entrustment/employment, living area, parent-offspring marriage status, infant living status, whether the infant is a solitary child, infant guardian's highest cultural degree, infant father occupation, infant mother occupation, etc.

And 113, associating the disease condition data of the eye disease research object with the first associated information table according to the outpatient clinic ID number of the eye disease research object to generate a second associated information table.

In one example, when the eye disease clinical data processing method is applied to a specialized Hospital, such as an ophthalmic Hospital, the disease condition data may be stored in a Hospital Information System (HIS) of the ophthalmic Hospital, and the second associated Information table is generated by associating the outpatient ID number or other Information of the eye disease study subject in the HIS with the eye disease study subject number and/or outpatient ID number and/or other Information of the eye disease study subject in the sample management System.

Second information associated with the outpatient ID number and/or other information of the eye condition subject is received, step 114.

And step 115, determining the storage position and the disease condition data of the sample collection device of the eye disease research object according to the second information and the second associated information table.

After receiving the second information, the second association information table is queried to obtain the disease condition data of the eye disease research object in the HIS and the storage position of the sample collection device of the eye disease research object in the sample management system. Therefore, the disease condition data and the sample of the eye disease research object can be rapidly acquired.

Further, step 103 is followed by:

eye study number, clinic number, and other eye study information for each eye study are added to the subject list based on the time information.

Specifically, the time information may be a filing date, for example, on 23.12.2013, 4 persons are filed, 1 person is filed on 24 days, 5 persons are filed on 25 days, 37 persons are filed on 26 days, and 1 person is filed on 31 days, and after "calendar" is clicked, the filing persons under the time information corresponding to the calendar may be displayed in the form of an object list, where the object list includes an object code, a name, a telephone number, a contact person, and a contact person telephone number.

Further, if a subject on the subject list is to be followed up for an ocular study, the following procedure may be used.

Specifically, firstly, the user terminal sends a third request message for displaying the follow-up visit schedule to the server; the third request message includes a user terminal ID; then receiving and displaying a follow-up calendar which is sent by the server and corresponds to the third request message; the follow-up calendar includes time information; then, displaying an object list according to the time information; then, according to the object list, determining the eye disease study object to be followed; finally, the follow-up result is added into the object list.

Wherein the follow-up visit comprises a first-level follow-up visit, a second-level follow-up visit and a third-level follow-up visit; first-order follow-up was a follow-up of hospitalization of the eye disease study; the secondary follow-up is the follow-up of the application treatment, the laser treatment and the medicine injection in the vitreous body of the research object of the eye disease; the third-level follow-up is the follow-up of the object for drug eye disease study.

And different prompt messages can be generated according to different follow-up grades, and the prompt messages are displayed or played on the terminal equipment.

Specifically, different follow-up periods may be provided for different levels of follow-up visits, such as a first-level follow-up visit, where the first follow-up visit is a discharge week, the second follow-up visit is a previous follow-up visit separated by one month, the third visit is three months from the previous visit, and the fourth visit is a half year from the third visit; in the second follow-up visit, the first follow-up visit is one month after treatment, the second visit is three months away from the last visit, and the third visit is half a year away from the second visit; in the third-level follow-up visit, the distance between the first visit and the second visit is three months and half a year apart. And generating different prompt messages according to different follow-up grades, and displaying or playing the prompt messages when the current time and the follow-up deadline are within a preset time range.

Further, after step 108, the method further includes: the specimen is registered in the specimen management system.

Wherein, first, a fourth request message for specimen registration may be transmitted to the server; the fourth request message includes an eye disease study number: then, third list information corresponding to a fourth request message sent by the server is received, wherein the third list information comprises a plurality of list items of state information of the specimen; and finally, receiving the state information of the samples corresponding to the plurality of entries, and storing third entry information comprising the state information of the samples corresponding to the plurality of entries.

Wherein, the third form information can be a sample receiving quality control form. In this form, there are multiple entries, and the third form information is referred to in Table 1.

TABLE 1

Wherein, the status information can be a yes or no option corresponding to each item, and one of pass, pass defect and fail in the evaluation result.

By applying the eye disease clinical data processing method provided by the embodiment of the invention, the clinical data of the eye disease research object can be integrated, and the specimen and the eye disease research object are associated, so that the specimen of the eye disease research object can be conveniently and rapidly searched, and the searching efficiency is improved. And aiming at ophthalmic diseases, a clinical information data management system and a tissue biological sample library are established, clinical information (including complete medical history information and various image data) and biological tissue samples are collected, and regular follow-up observation is carried out, so that the system plays an extremely important role in monitoring the disease progress of a patient, understanding the occurrence development and prognosis of the disease, and exploring the pathophysiology basis and possible occurrence development mechanism of the disease, thereby improving the levels of clinical basic diagnosis, treatment and prognosis evaluation.

Fig. 4 is a schematic structural diagram of an ocular disease clinical data processing system according to a second embodiment of the present invention, which is applied in an ocular disease clinical data processing method, as shown in fig. 4, the ocular disease clinical data processing system includes: the system comprises a sending module 401, a receiving module 402, a generating module 403, a querying module 404, an associating module 405 and a determining module 406.

The sending module 401 is configured to send a first request message for adding an eye disease study object to a server; the first request message includes a user terminal ID;

the receiving module 402 is configured to receive and display first form information corresponding to the first request message sent by the server; the first form information comprises a first table item, a second table item and other table items;

the receiving module 402 is further configured to receive an eye disease study object number corresponding to the first entry, an outpatient ID number corresponding to the second entry, and other information of an eye disease study object corresponding to other entries;

the generating module 403 is configured to generate label information according to the eye disease study object number, the clinic ID number, and other information of the eye disease study object;

the sending module 401 is further configured to send the label information to a printing device after receiving the printing instruction, so as to generate a printed label;

the sending module 401 is further configured to send a second request message for generating a specimen collection list of the eye disease study object to the server; the second request message includes an eye disease study number;

the receiving module 402 is further configured to receive and display one or more second form information corresponding to the second request message sent by the server; the second form information comprises one or more specimen collection forms corresponding to eye disease research object numbers;

the query module 404 is configured to query the storage device state table after receiving a label on the sample collection device corresponding to the sample collection order sent by the scanning device, and allocate a storage location for the sample collection device;

the association module 405 is configured to associate a storage location of the specimen collection device with the tag information, and generate a first association information table;

the receiving module 402 is further configured to receive first information associated with the tag information;

the determining module 406 is configured to determine, according to the first information and the first associated information table, a storage location of the specimen collection device corresponding to the first information;

the receiving module 402 is further configured to receive basic information of an eye disease study object; the basic information includes the outpatient ID number of the eye disease subject and/or other information of the eye disease subject;

the association module 405 is further configured to associate the disease condition data of the eye disease study with the first association information table according to the outpatient ID number of the eye disease study and/or other information of the eye disease study, and generate a second association information table;

receiving module 402 is further configured to receive second information associated with the outpatient ID number and/or other information of the ocular study subject;

the determining module 406 is further configured to determine a storage location and disease data of the specimen collection device of the eye disease study subject according to the second information and the second associated information table.

Further, subjects with ocular disease include: patients with ocular fundus tumors, diabetic retinopathy, age-related macular degeneration (AMD), congenital and dystrophic diseases, high myopia, primary retinal detachment.

Further, the disease data for subjects with ocular disease include: demographic characteristics, chief complaints, current medical history, personal history, family history, past medical history, physical examination, lung function, allergens, past medical history, various image data, and slice data of the subject of the ocular disease.

Further, fig. 5 is another schematic structural diagram of an eye disease clinical data processing system according to a second embodiment of the present invention. As shown in fig. 5, the eye disease clinical data processing system further includes: a module 407 is added.

The adding module 407 is configured to add the eye disease study number, clinic number, and other eye disease study information of each eye disease study into the object list according to the time information.

Further, the sending module 401 is further configured to send a third request message for displaying the follow-up schedule to the server; the third request message includes a user terminal ID;

the receiving module 402 is further configured to receive and display a follow-up calendar sent by the server and corresponding to the third request message; the follow-up calendar includes time information;

the eye disease clinical data processing system further comprises: and a display module 408.

The display module 408 is configured to display an object list according to the time information;

the determination module 406 is further configured to determine a follow-up ocular study subject from the subject list;

the adding module 407 is further configured to add the follow-up result into the object list.

Further, the follow-up visit comprises a first-level follow-up visit, a second-level follow-up visit and a third-level follow-up visit; first-order follow-up was a follow-up of hospitalization of the eye disease study; the secondary follow-up is the follow-up of the application treatment, the laser treatment and the medicine injection in the vitreous body of the research object of the eye disease; the third-level follow-up is the follow-up of the object for drug eye disease study.

Further, the generating module 403 is further configured to generate follow-up visit prompt information according to the follow-up visit level;

and the playing module is used for displaying or playing the prompt message by the terminal equipment when the current time and the follow-up deadline are within a preset time range.

Further, the sending module 401 is further configured to send a fourth request message for specimen registration to the server; the fourth request message includes an eye disease study number:

the receiving module 402 is further configured to receive third manifest information corresponding to a fourth request message sent by the server, where the third manifest information includes multiple entries of state information of the specimen;

the receiving module 402 is further configured to receive state information of the specimen corresponding to the plurality of entries, and store third entry information including the state information of the specimen corresponding to the plurality of entries.

Further, the receiving module 402 is further configured to receive HIV detection information, HBV detection information, and HCV detection information of an original eye disease research object;

the ocular disease clinical data processing system further comprises a parsing module 409. The analysis module 409 is used for analyzing the HIV detection information, the HBV detection information and the HCV detection information respectively to generate an HIV analysis result, an HBV analysis result and an HCV analysis result;

the determination module 406 is further configured to determine the original ocular disease subject as an ocular disease subject when the HIV analysis result, the HBV analysis result, and the HCV analysis result are all normal.

By applying the eye disease clinical data processing system provided by the embodiment of the invention, the clinical data of the eye disease research object can be integrated, and the specimen and the eye disease research object are associated, so that the specimen of the eye disease research object can be conveniently and rapidly searched, and the searching efficiency is improved. And aiming at ophthalmic diseases, a clinical information data management system and a tissue biological sample library are established, clinical information (including complete medical history information and various image data) and biological tissue samples are collected, and regular follow-up observation is carried out, so that the system plays an extremely important role in monitoring the disease progress of a patient, understanding the occurrence development and prognosis of the disease, and exploring the pathophysiology basis and possible occurrence development mechanism of the disease, thereby improving the levels of clinical basic diagnosis, treatment and prognosis evaluation.

The third embodiment of the invention provides equipment, which comprises a memory and a processor, wherein the memory is used for storing programs, and the memory can be connected with the processor through a bus. The memory may be a non-volatile memory such as a hard disk drive and a flash memory, in which a software program and a device driver are stored. The software program is capable of performing various functions of the above-described methods provided by embodiments of the present invention; the device drivers may be network and interface drivers. The processor is used for executing a software program, and the software program can realize the method provided by the first embodiment of the invention when being executed.

A fourth embodiment of the present invention provides a computer program product including instructions, which, when the computer program product runs on a computer, causes the computer to execute the method provided in the first embodiment of the present invention.

The fifth embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method provided in the first embodiment of the present invention is implemented.

Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.