CN111210883B - Method, system, device and storage medium for generating follow-up data of brain tumor patient - Google Patents
Method, system, device and storage medium for generating follow-up data of brain tumor patient Download PDFInfo
- Publication number
- CN111210883B CN111210883B CN201911349244.XA CN201911349244A CN111210883B CN 111210883 B CN111210883 B CN 111210883B CN 201911349244 A CN201911349244 A CN 201911349244A CN 111210883 B CN111210883 B CN 111210883B
- Authority
- CN
- China
- Prior art keywords
- follow
- data
- patient
- brain tumor
- matching rule
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 208000003174 Brain Neoplasms Diseases 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000011282 treatment Methods 0.000 claims description 12
- 238000007781 pre-processing Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 229940079593 drug Drugs 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 5
- 201000010099 disease Diseases 0.000 claims description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 7
- 238000013075 data extraction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 206010028980 Neoplasm Diseases 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 201000011510 cancer Diseases 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the technical field of generating follow-up data of brain tumor patients, and discloses a method, a system, a device and a storage medium for generating the follow-up data of brain tumor patients, wherein the method comprises the following steps: setting a follow-up element set in follow-up data of a brain tumor patient and key characteristic items in the patient data to obtain a first matching rule and a second matching rule; extracting the critical characteristic item data of the patient data by using a first matching rule to obtain the critical characteristic item data of the patient; matching the key characteristic item data with the follow-up element set through a second matching rule to generate follow-up form content, a follow-up plan and a follow-up member for follow-up for the patient; and the operation end receives the follow-up result data uploaded by the follow-up staff after the follow-up is finished. By the technical scheme provided by the invention, the follow-up data of the brain tumor patient is intelligently generated, the follow-up scheme is customized for different patients, and the follow-up effect is improved.
Description
Technical Field
The invention relates to the technical field of generating follow-up data of brain tumor patients, in particular to a method, a system, a device and a storage medium for generating follow-up data of brain tumor patients.
Background
Brain tumors are one of the most malignant tumors that can cause complex damage to the body and cognition. Since the brain is central to thinking, personality and emotion, brain tumors are commonly referred to as mental cancers, have an effect on both mind and body, many types of brain tumors are poorly predicted, have complex treatments, and require periodic follow-up of patients. At present, most follow-up visit of a hospital to brain tumor patients is single in content, follow-up visit schemes for all patients are unified and unchanged, pertinence is lacked, and therefore follow-up visit feedback information cannot meet the requirement of follow-up treatment, and follow-up visit effect is not obvious. According to each patient's establishment follow-up scheme, need professional doctor to make according to patient's specific state of illness, it is laborious consuming time, can not realize a large amount of patient follow-up.
Therefore, aiming at the follow-up requirement of brain tumor patients, the problems of single follow-up content, poor follow-up effect, time consumption and labor consumption in the prior art are needed.
Disclosure of Invention
The invention mainly aims to provide a method, a system, a device and a storage medium for generating follow-up data of brain tumor patients, and aims to customize follow-up schemes for different patients through intelligent generation of the follow-up data of brain tumor patients, so that follow-up effects are improved.
To achieve the above object, the present invention provides a method of generating follow-up data of a brain tumor patient, the method comprising:
step S10: setting a follow-up element set in follow-up data of a brain tumor patient and key characteristic items in the patient data to obtain a first matching rule and a second matching rule; the first matching rule refers to a rule that key feature data related to patient data and follow-up data are matched according to the key feature items; the second matching rule is a rule for matching the key feature data in the patient data according to a follow-up element set in follow-up data;
step S20: preprocessing acquired patient original data to obtain processed patient data, and extracting and processing key feature item data of the patient data by using a first matching rule to obtain patient key feature item data;
step S30: matching the key characteristic item data with the follow-up element set through a second matching rule to generate follow-up form content, a follow-up plan and a follow-up member for follow-up for the patient; wherein the follow-up form content includes follow-up data that is collected and interrogated for the patient during follow-up to the patient;
step S40: notifying the follow-up staff of the follow-up list content and the follow-up plan to obtain follow-up result data of the follow-up staff after the follow-up is implemented;
step S50: and the operation end receives the follow-up result data uploaded by the follow-up staff after the follow-up is finished.
Further, the step S10 includes:
step S110: setting follow-up elements in follow-up data of a brain tumor patient, wherein a plurality of sets of follow-up elements form a follow-up element set;
step S120: setting key feature items in the patient data for the follow-up element set in the follow-up data, and setting a first matching rule for extracting key feature data from the original patient data; the original data of the patient comprise one or more of an admission and discharge record, a disease type, a focus part, an operation record, a treatment and a medication order of the patient;
step S130: setting a second matching rule for matching the key characteristic data in the patient data according to the follow-up elements in the follow-up data;
step S140: and auditing the first matching rule and the second matching rule through a management end to obtain the first matching rule and the second matching rule after the auditing.
Further, the step S20 includes:
step S210: preprocessing the original patient data to obtain preprocessed patient data; the pretreatment comprises structuring and standardization treatment;
step S220: and carrying out matching extraction processing on the preprocessed patient data by using a first matching rule to obtain patient key feature data.
To achieve the above object, the present invention also provides a device for generating brain tumor patient follow-up data, the device for generating brain tumor patient follow-up data including a memory and a processor, the memory storing a program for generating brain tumor patient follow-up data capable of running on the processor, the program for generating brain tumor patient follow-up data realizing the steps of the method for generating brain tumor patient follow-up data when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a system for generating follow-up data of brain tumor patients, which specifically comprises:
the system comprises a management end, an operation end and a service background, wherein the management end and the operation end are in network communication with the service background;
the service background is a device for generating follow-up data of brain tumor patients;
the management end is used for approving and confirming the matching rule;
the operation end is used for checking the follow-up data, the follow-up plan and the corresponding patient information to be followed up, and the follow-up result is uploaded by the operator after the follow-up is finished.
In addition, in order to achieve the above object, the present invention further provides a storage medium, which is a computer readable storage medium, and the storage medium stores a program for generating brain tumor patient follow-up data, and the program for generating brain tumor patient follow-up data can be executed by one or more processors, so as to implement the steps of the method for generating brain tumor patient follow-up data.
According to the method, the system, the device and the storage medium for generating the follow-up data of the brain tumor patients, the follow-up data of the brain tumor patients are generated intelligently, follow-up schemes are customized for different patients, and the follow-up effect is improved.
Drawings
FIG. 1 is a flow chart of a method for generating follow-up data of brain tumor patients according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of step S10 in fig. 1;
fig. 3 is a flow chart of step S20 in fig. 1;
FIG. 4 is a schematic diagram of a system for generating follow-up data of brain tumor patients according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an internal structure of an apparatus for generating follow-up data of a brain tumor patient according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of a method for generating follow-up data of a brain tumor patient according to an embodiment of the present invention is shown, and the method includes:
step S10: setting a follow-up element set in follow-up data of a brain tumor patient and key characteristic items in the patient data to obtain a first matching rule and a second matching rule; the first matching rule refers to a rule that key feature data related to patient data and follow-up data are matched according to the key feature items; the second matching rule is a rule for matching the key feature data in the patient data according to a follow-up element set in follow-up data;
step S20: preprocessing acquired patient original data to obtain processed patient data, and extracting and processing key feature item data of the patient data by using a first matching rule to obtain patient key feature item data;
step S30: matching the key characteristic item data with the follow-up element set through a second matching rule to generate follow-up form content, a follow-up plan and a follow-up member for follow-up for the patient; wherein the follow-up form content includes follow-up data that is collected and interrogated for the patient during follow-up to the patient;
step S40: notifying the follow-up staff of the follow-up list content and the follow-up plan to obtain follow-up result data of the follow-up staff after the follow-up is implemented;
step S50: and the operation end receives the follow-up result data uploaded by the follow-up staff after the follow-up is finished.
Referring to fig. 2, the step S10 includes:
step S110: setting follow-up elements in follow-up data of brain tumor patients, wherein a plurality of sets of follow-up elements form the follow-up element set.
Step S120: setting key feature items in the patient data for the follow-up element set in the follow-up data, and setting a first matching rule for extracting key feature data from the original patient data; the original data of the patient comprise one or more of an admission and discharge record, a disease type, a focus part, an operation record, a treatment and a medication order of the patient;
step S130: setting a second matching rule for matching the key characteristic data in the patient data according to the follow-up elements in the follow-up data.
Step S140: and auditing the first matching rule and the second matching rule through a management end to obtain the first matching rule and the second matching rule after the auditing.
Referring to fig. 3, the step S20 includes:
step S210: preprocessing the original patient data to obtain preprocessed patient data; the pretreatment comprises structuring and standardization treatment;
step S220: and carrying out matching extraction processing on the preprocessed patient data by using a first matching rule to obtain patient key feature data.
Specifically, a follow-up element set is established by setting follow-up elements, key feature items are set to define key feature data in patient data, a matching rule is established, automatic matching of patient data of different patients is achieved, and personalized follow-up data and follow-up plans for the patients are generated; and further realizing follow-up plans and schemes for different patients, and completing follow-up for the patients by a follow-up staff according to the follow-up plans and the follow-up schemes to obtain follow-up results.
In order to realize the method for generating the follow-up data of the brain tumor patient, the invention also provides a system for generating the follow-up data of the brain tumor patient, and the system for generating the follow-up data of the brain tumor patient is shown in fig. 4.
The system for generating the follow-up data of the brain tumor patients specifically comprises a service background 10, a management end 20 and an operation end 30, wherein the service background 10, the management end 20 and the operation end 30 are communicated through a network.
Specifically, the service background specifically includes:
and the medical record data acquisition and processing module 11 is used for acquiring patient information and medical record data from a hospital and carrying out structuring and standardization processing.
The key feature item data extraction module 12 is configured to extract key feature item data from the patient raw data according to the setting of the first matching rule.
A follow-up element setting module 13 for setting a basic follow-up element and a follow-up element set.
The follow-up data modeling module 14 is configured to automatically generate follow-up data through data calculation and association according to the patient's key feature item data, the key feature item, and the second matching rule.
The follow-up reminding module 15 is used for reminding the follow-up staff to carry out follow-up before the specified follow-up time according to the time plan in the follow-up plan.
The follow-up list and form filling module 16 is used for opening the patient to be followed up in the system by the follow-up staff, carrying out follow-up according to the follow-up data and the follow-up plan, and filling in the follow-up result.
The management end 20 is configured to perform approval confirmation on the matching rule.
The operation end 30 is used for checking the follow-up data, the follow-up plan and the corresponding patient information to be followed up, and the follow-up result is uploaded by the operator after the follow-up is finished.
The invention extracts key characteristic item data from patient data, and generates patient personalized follow-up data according to rule matching with follow-up elements. In an embodiment, according to the specific medical record information such as the patient's admission and discharge record, disease type, focus position, operation record, treatment and medication advice, the data extraction and rule matching are automatically performed, the personalized follow-up visit data is generated, the follow-up visit content is closely related to the patient's illness state and treatment process, and doctors can accurately grasp the information of recuperation, medication and auxiliary treatment after the patient is discharged from the hospital, so that more specialized follow-up treatment or guiding service is provided for the patient.
According to the method, the system, the device and the storage medium for generating the follow-up data of the brain tumor patient, the follow-up data of the patient are generated intelligently, follow-up schemes are customized for different patients, and the follow-up effect is improved.
In addition, the invention also provides a device for generating follow-up data of the brain tumor patient.
Referring to fig. 5, an internal structure of an apparatus for generating brain tumor patient follow-up data according to an embodiment of the present invention is provided, where the apparatus for generating brain tumor patient follow-up data includes at least a memory 91, a processor 92, a communication bus 93, and a network interface 94.
The memory 91 includes at least one type of readable storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 91 may in some embodiments be an internal storage unit of the device generating brain tumor patient follow-up data, e.g. a hard disk of the device generating brain tumor patient follow-up data. The memory 91 may in other embodiments also be an external storage device of the apparatus for generating brain tumor patient follow-up data, for example a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like provided on the apparatus for generating brain tumor patient follow-up data. Further, the memory 91 may also comprise both an internal memory unit and an external memory device of the apparatus for generating brain tumor patient follow-up data. The memory 91 may be used not only for storing application software installed in a device for generating brain tumor patient follow-up data and various types of data, for example, codes of a program for generating brain tumor patient follow-up data, etc., but also for temporarily storing data that has been output or is to be output.
The processor 92 may in some embodiments be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor or other data processing chip for running program code or processing data stored in the memory 91, e.g. executing a program or the like for generating brain tumor patient follow-up data.
A communication bus 93 is used to enable connected communication between these components.
The network interface 94 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), and is typically used to establish a communication link between the means for generating brain tumor patient follow-up data and other electronic devices.
Optionally, the apparatus for generating brain tumor patient follow-up data may further comprise a user interface, which may comprise a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further comprise a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the device for generating brain tumor patient follow-up data and for displaying a visual user interface.
Fig. 5 shows only the means for generating brain tumor patient follow-up data with components 91-94 and the procedure for generating brain tumor patient follow-up data, it will be understood by those skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the means for generating brain tumor patient follow-up data, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
In the embodiment of the apparatus for generating brain tumor patient follow-up data shown in fig. 5, a program for generating brain tumor patient follow-up data is stored in the memory 91; the processor 92 performs the following steps when executing the program stored in the memory 91 for generating brain tumor patient follow-up data:
step S10: setting a follow-up element set in follow-up data of a brain tumor patient and key characteristic items in the patient data to obtain a first matching rule and a second matching rule; the first matching rule refers to a rule that key feature data related to patient data and follow-up data are matched according to the key feature items; the second matching rule is a rule for matching the key feature data in the patient data according to a follow-up element set in follow-up data;
step S20: preprocessing acquired patient original data to obtain processed patient data, and extracting and processing key feature item data of the patient data by using a first matching rule to obtain patient key feature item data;
step S30: matching the key characteristic item data with the follow-up element set through a second matching rule to generate follow-up form content, a follow-up plan and a follow-up member for follow-up for the patient; wherein the follow-up form content includes follow-up data that is collected and interrogated for the patient during follow-up to the patient;
step S40: notifying the follow-up staff of the follow-up list content and the follow-up plan to obtain follow-up result data of the follow-up staff after the follow-up is implemented;
step S50: and the operation end receives the follow-up result data uploaded by the follow-up staff after the follow-up is finished.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium is a computer readable storage medium, and a program for generating brain tumor patient follow-up data is stored on the storage medium, and the program for generating brain tumor patient follow-up data can be executed by one or more processors, so as to implement the following operations:
step S10: setting a follow-up element set in follow-up data of a brain tumor patient and key characteristic items in the patient data to obtain a first matching rule and a second matching rule; the first matching rule refers to a rule that key feature data related to patient data and follow-up data are matched according to the key feature items; the second matching rule is a rule for matching the key feature data in the patient data according to a follow-up element set in follow-up data;
step S20: preprocessing acquired patient original data to obtain processed patient data, and extracting and processing key feature item data of the patient data by using a first matching rule to obtain patient key feature item data;
step S30: matching the key characteristic item data with the follow-up element set through a second matching rule to generate follow-up form content, a follow-up plan and a follow-up member for follow-up for the patient; wherein the follow-up form content includes follow-up data that is collected and interrogated for the patient during follow-up to the patient;
step S40: notifying the follow-up staff of the follow-up list content and the follow-up plan to obtain follow-up result data of the follow-up staff after the follow-up is implemented;
step S50: and the operation end receives the follow-up result data uploaded by the follow-up staff after the follow-up is finished.
The specific embodiment of the storage medium of the present invention is basically the same as the above-mentioned examples of the method and apparatus for generating follow-up data of brain tumor patients, and will not be described here.
It should be noted that, the foregoing reference numerals of the embodiments of the present invention are merely for describing the embodiments, and do not represent the advantages and disadvantages of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a drone, a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (6)
1. A method of generating brain tumor patient follow-up data, the method comprising:
step S10: setting a follow-up element set in follow-up data of a brain tumor patient and key characteristic items in the patient data to obtain a first matching rule and a second matching rule; the first matching rule refers to a rule that key feature data related to patient data and follow-up data are matched according to the key feature items; the second matching rule is a rule for matching the key feature data in the patient data according to a follow-up element set in follow-up data;
step S20: preprocessing acquired patient original data to obtain processed patient data, and extracting and processing key feature item data of the patient data by using a first matching rule to obtain patient key feature item data;
step S30: matching the key characteristic item data with the follow-up element set through a second matching rule to generate follow-up form content, a follow-up plan and a follow-up member for follow-up for the patient; wherein the follow-up form content includes follow-up data that is collected and interrogated for the patient during follow-up to the patient;
step S40: notifying the follow-up staff of the follow-up list content and the follow-up plan to obtain follow-up result data of the follow-up staff after the follow-up is implemented;
step S50: the operation end receives the follow-up result data uploaded by the follow-up staff after the follow-up is finished;
the step S10 includes:
step S110: setting follow-up elements in follow-up data of a brain tumor patient, wherein a plurality of sets of follow-up elements form a follow-up element set;
step S120: setting key feature items in the patient data for the follow-up element set in the follow-up data, and setting a first matching rule for extracting key feature data from the original patient data; the original data of the patient comprise one or more of an admission and discharge record, a disease type, a focus part, an operation record, a treatment and a medication order of the patient;
step S130: setting a second matching rule for matching the key characteristic data in the patient data according to the follow-up elements in the follow-up data.
2. The method of generating follow-up data for brain tumor patients according to claim 1, wherein said step S10 further comprises:
step S140: and auditing the first matching rule and the second matching rule through a management end to obtain the first matching rule and the second matching rule after the auditing.
3. The method of generating follow-up data for brain tumor patients according to claim 1, wherein said step S20 comprises:
step S210: preprocessing the original patient data to obtain preprocessed patient data; the pretreatment comprises structuring and standardization treatment;
step S220: and carrying out matching extraction processing on the preprocessed patient data by using a first matching rule to obtain patient key feature data.
4. An apparatus for generating brain tumor patient follow-up data, characterized in that the apparatus for generating brain tumor patient follow-up data comprises a memory and a processor, the memory having stored thereon a program for generating brain tumor patient follow-up data executable on the processor, the program for generating brain tumor patient follow-up data, when executed by the processor, implementing the steps of the method for generating brain tumor patient follow-up data as claimed in any one of claims 1 to 3.
5. A system for generating brain tumor patient follow-up data, the system for generating brain tumor patient follow-up data comprising:
the system comprises a management end, an operation end and a service background, wherein the management end and the operation end are in network communication with the service background;
wherein the service background is the apparatus for generating brain tumor patient follow-up data as defined in claim 4;
the management end is used for approving and confirming the matching rule;
the operation end is used for checking the follow-up data, the follow-up plan and the corresponding patient information to be followed up, and the follow-up result is uploaded by the operator after the follow-up is finished.
6. A storage medium, characterized in that the storage medium is a computer-readable storage medium, on which a program for generating brain tumor patient follow-up data is stored, which program is executable by one or more processors for implementing the steps of the method for generating brain tumor patient follow-up data as claimed in any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911349244.XA CN111210883B (en) | 2019-12-24 | 2019-12-24 | Method, system, device and storage medium for generating follow-up data of brain tumor patient |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911349244.XA CN111210883B (en) | 2019-12-24 | 2019-12-24 | Method, system, device and storage medium for generating follow-up data of brain tumor patient |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111210883A CN111210883A (en) | 2020-05-29 |
| CN111210883B true CN111210883B (en) | 2024-03-22 |
Family
ID=70785045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911349244.XA Active CN111210883B (en) | 2019-12-24 | 2019-12-24 | Method, system, device and storage medium for generating follow-up data of brain tumor patient |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111210883B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112365940A (en) * | 2020-10-16 | 2021-02-12 | 零氪科技（北京）有限公司 | System and method for screening subjects |
| CN112365941A (en) * | 2020-10-16 | 2021-02-12 | 零氪科技（北京）有限公司 | Method and system for recruitment of subjects |
| CN112331282A (en) * | 2020-11-12 | 2021-02-05 | 北京嘉和美康信息技术有限公司 | Method and system for grouping patients based on follow-up items |
| CN113380424A (en) * | 2020-12-07 | 2021-09-10 | 北京左医科技有限公司 | Automatic generation method and automatic generation device for follow-up plan and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015179484A1 (en) * | 2014-05-20 | 2015-11-26 | Akin Jodi J | Clinical trial/patient follow-up platform |
| CN105243265A (en) * | 2015-09-16 | 2016-01-13 | 西部天使（北京）健康科技有限公司 | Automatic follow-up method and system |
| CN105260590A (en) * | 2015-09-16 | 2016-01-20 | 西部天使（北京）健康科技有限公司 | Method and system for combining multiple follow-up visit plans |
| CN106897571A (en) * | 2017-03-02 | 2017-06-27 | 上海市第六人民医院 | A kind of internet patient follow-up system |
| CN107256343A (en) * | 2017-06-16 | 2017-10-17 | 康美健康云服务有限公司 | A kind of tumor patient follow-up feedback method for pushing and system |
| CN107391942A (en) * | 2017-07-26 | 2017-11-24 | 深圳市心上信息技术有限公司 | Follow up data processing method, device, storage medium and computer equipment |
| CN107610783A (en) * | 2017-09-11 | 2018-01-19 | 首都医科大学附属北京天坛医院 | A kind of brain tumor information platform |
| CN107657566A (en) * | 2017-08-04 | 2018-02-02 | 深圳市心上信息技术有限公司 | Follow-up scheduling method, device, storage medium and computer equipment |
| CN108648808A (en) * | 2018-03-23 | 2018-10-12 | 深圳百诺国际生命科技有限公司 | Follow-up plan example generation method and device |
| CN109065139A (en) * | 2018-09-10 | 2018-12-21 | 平安科技（深圳）有限公司 | Medical follow up method, apparatus, computer equipment and storage medium |
| CN109102851A (en) * | 2018-08-15 | 2018-12-28 | 镇江市第四人民医院（镇江市妇幼保健院） | Voice follow-up method suitable for discharged patients |
| CN109637599A (en) * | 2018-12-07 | 2019-04-16 | 泰康保险集团股份有限公司 | Treatment and follow-up plan processing method and processing device |
| CN110111910A (en) * | 2019-05-09 | 2019-08-09 | 中国人民解放军陆军军医大学第二附属医院 | The management of radiotherapy patient intelligent follow-up and QA system |
| CN110364233A (en) * | 2018-04-09 | 2019-10-22 | 首都医科大学附属北京儿童医院 | Medical data acquisition manages follow-up system |
| CN110415831A (en) * | 2019-07-18 | 2019-11-05 | 天宜(天津)信息科技有限公司 | A kind of medical treatment big data cloud service analysis platform |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050192848A1 (en) * | 2004-02-26 | 2005-09-01 | Vocantas Inc. | Method and apparatus for automated post-discharge follow-up of medical patients |
| US8600777B2 (en) * | 2008-08-28 | 2013-12-03 | I.M.D. Soft Ltd. | Monitoring patient conditions |
| US20190272919A1 (en) * | 2018-03-01 | 2019-09-05 | Siemens Medical Solutions Usa, Inc. | Proactive follow-up of clinical findings |
-
2019
- 2019-12-24 CN CN201911349244.XA patent/CN111210883B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015179484A1 (en) * | 2014-05-20 | 2015-11-26 | Akin Jodi J | Clinical trial/patient follow-up platform |
| CN105243265A (en) * | 2015-09-16 | 2016-01-13 | 西部天使（北京）健康科技有限公司 | Automatic follow-up method and system |
| CN105260590A (en) * | 2015-09-16 | 2016-01-20 | 西部天使（北京）健康科技有限公司 | Method and system for combining multiple follow-up visit plans |
| CN106897571A (en) * | 2017-03-02 | 2017-06-27 | 上海市第六人民医院 | A kind of internet patient follow-up system |
| CN107256343A (en) * | 2017-06-16 | 2017-10-17 | 康美健康云服务有限公司 | A kind of tumor patient follow-up feedback method for pushing and system |
| CN107391942A (en) * | 2017-07-26 | 2017-11-24 | 深圳市心上信息技术有限公司 | Follow up data processing method, device, storage medium and computer equipment |
| CN107657566A (en) * | 2017-08-04 | 2018-02-02 | 深圳市心上信息技术有限公司 | Follow-up scheduling method, device, storage medium and computer equipment |
| CN107610783A (en) * | 2017-09-11 | 2018-01-19 | 首都医科大学附属北京天坛医院 | A kind of brain tumor information platform |
| CN108648808A (en) * | 2018-03-23 | 2018-10-12 | 深圳百诺国际生命科技有限公司 | Follow-up plan example generation method and device |
| CN110364233A (en) * | 2018-04-09 | 2019-10-22 | 首都医科大学附属北京儿童医院 | Medical data acquisition manages follow-up system |
| CN109102851A (en) * | 2018-08-15 | 2018-12-28 | 镇江市第四人民医院（镇江市妇幼保健院） | Voice follow-up method suitable for discharged patients |
| CN109065139A (en) * | 2018-09-10 | 2018-12-21 | 平安科技（深圳）有限公司 | Medical follow up method, apparatus, computer equipment and storage medium |
| CN109637599A (en) * | 2018-12-07 | 2019-04-16 | 泰康保险集团股份有限公司 | Treatment and follow-up plan processing method and processing device |
| CN110111910A (en) * | 2019-05-09 | 2019-08-09 | 中国人民解放军陆军军医大学第二附属医院 | The management of radiotherapy patient intelligent follow-up and QA system |
| CN110415831A (en) * | 2019-07-18 | 2019-11-05 | 天宜(天津)信息科技有限公司 | A kind of medical treatment big data cloud service analysis platform |
Non-Patent Citations (2)
| Title |
|---|
| Gastrointestinal stromal tumours (GISTs): French Intergroup Clinical Practice Guidelines for diagnosis, treatments and follow-up (SNFGE, FFCD, GERCOR, UNICANCER, SFCD, SFED, SFRO);Bruno Landi等;Digestive and Liver Disease;第1223-1231页 * |
| 肿瘤医学随访系统研究与开发;李龙;;经营管理者(17);第404-405页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111210883A (en) | 2020-05-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111210883B (en) | Method, system, device and storage medium for generating follow-up data of brain tumor patient | |
| CN109584975B (en) | Medical data standardization processing method and device | |
| CN107833603B (en) | Electronic medical record document classification method and device, electronic equipment and storage medium | |
| US9268907B2 (en) | System and method for automatically modifying source code to accommodate a software migration | |
| US9760990B2 (en) | Cloud-based infrastructure for feedback-driven training and image recognition | |
| US10733370B2 (en) | Method, apparatus, and computer program product for generating a preview of an electronic document | |
| CN112711581B (en) | Medical data checking method and device, electronic equipment and storage medium | |
| CN108648808A (en) | Follow-up plan example generation method and device | |
| CN111415747B (en) | Method and device for constructing electronic medical record | |
| CN104268813A (en) | Medical data demonstration method and system for preoperative visit | |
| CN110853739A (en) | Image management display method, device, computer equipment and storage medium | |
| CN110600094A (en) | Intelligent writing method and system for electronic medical record | |
| CN107330246B (en) | Medical image file importing method, device and computer readable medium | |
| CN111985197A (en) | Template generation method based on medical information | |
| CN105446669A (en) | Virtual printer based medical data acquisition and transmission method and system thereof | |
| CN109299214B (en) | Text information extraction method, text information extraction device, text information extraction medium and electronic equipment | |
| CN108268615A (en) | A kind of data processing method, device and system | |
| US10354007B2 (en) | System and method for configuring clinical workflows and generating user interfaces thereof | |
| CN112181437B (en) | Gray release method and device based on Devops, computer equipment and storage medium | |
| US20160070860A1 (en) | Structuring multi-sourced medical information into a collaborative health record | |
| US10878957B2 (en) | Need determination system | |
| CN109783598B (en) | Information resource cataloging method and device, electronic equipment and storage medium | |
| CN111739598A (en) | Data processing method, device, medium and electronic equipment | |
| JP2008210152A (en) | Data calculation method and apparatus, and program | |
| CN113791762B (en) | Clinical test data conversion method and device, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |