CN113539504A - Clinical path information management system and method based on big data - Google Patents
Clinical path information management system and method based on big data Download PDFInfo
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- CN113539504A CN113539504A CN202110730970.7A CN202110730970A CN113539504A CN 113539504 A CN113539504 A CN 113539504A CN 202110730970 A CN202110730970 A CN 202110730970A CN 113539504 A CN113539504 A CN 113539504A
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Abstract
The invention relates to the technical field of clinical pathway information management, in particular to a clinical pathway information management system and method based on big data, which are used for solving the problem that the clinical pathway content cannot be effectively and continuously improved because no corresponding reference exists during the variation and revision of clinical pathways in the prior art. The data acquisition unit is used for acquiring information actually generated in the operation process of a patient after the patient enters clinical path management and recording all out-of-path medical advice; the data processing unit is used for processing the medical advice data acquired by the data acquisition unit; the database unit is used for storing standard clinical path information and sequencing the clinical path information of various standards; the output unit is used for outputting the variation condition of the variation step in the standard path. In the invention, standard path variation condition information of a selected time period can be output only by inputting the clinical path name, thereby providing data support of path revision for a clinician.
Description
Technical Field
The invention relates to the technical field of clinical pathway information management, in particular to a clinical pathway information management system and method based on big data.
Background
Clinical practice refers to direct contact with patients to actually observe the patients, and subjects such as internal science, surgical science, gynecologic science, and pediatrics belong to clinical medicine, and are divided into clinical, medical technology, administration, work and attendance and other departments from internal division of the hospital.
The clinical information management system in the prior art comprises a background management end, a display host, a doctor workstation user end, a nurse workstation user end, a doctor moving end, a nurse moving end and a data memory, wherein the memory is divided into the data memory and a cloud memory, the doctor workstation user end, the nurse workstation user end and the display host are in communication connection through data transmission lines, the background management end is used for respectively carrying out data acquisition and monitoring on the display host, the doctor workstation user end and the nurse workstation user end, the background management end is used for carrying out data backup through the data memory and simultaneously transmitting data information to the cloud memory for storage, the system effectively connects the doctor workstation user end and the nurse workstation required by the path in a data transmission mode, and the data transmission path is used as the path of clinical service, the clear clinical path orderly implementation and detail monitoring are realized, and the working efficiency is greatly improved.
However, the clinical information management system does not have a corresponding reference during clinical treatment, so that a clinician cannot rapidly make a corresponding clinical measure. Therefore, there is a need for a large data clinical pathway information management system that allows clinicians to quickly take appropriate clinical actions.
Disclosure of Invention
Based on the above problems, the present invention aims to: the clinical pathway information management system and method based on big data are provided for solving the problem that the clinical pathway content cannot be effectively and continuously improved because no corresponding reference exists when the clinical pathway mutation is revised in the prior art. According to the invention, the database is formed by collecting and screening various historical clinical path information, and the standard path variation condition information of a selected time period can be output only by inputting the clinical path name, so that data support of path revision is provided for a clinician.
The invention specifically adopts the following technical scheme for realizing the purpose:
a clinical path information management system based on big data comprises a data acquisition unit, a data processing unit, a database unit and a path output unit which are electrically connected in sequence;
the data acquisition unit is used for acquiring information actually generated in the operation process after a patient enters clinical path management and recording out-of-path medical advice;
the data processing unit is used for processing the medical advice data acquired by the data acquisition unit;
the database unit is used for storing standard clinical path information and sequencing the clinical path information of various standards;
the output unit is used for outputting the variation condition of the variation step in the standard path.
Wherein the data processing unit comprises a data screening unit and a data analysis unit;
the data screening unit is used for screening various clinical path information acquired by the data acquisition unit;
the data classification unit is used for analyzing the variation condition of the clinical path information and classifying the clinical path information screened by the data screening unit;
the path output unit comprises a voice prompt unit and a character display unit;
the voice prompt unit is used for broadcasting the content of the output clinical path information;
the character display unit is used for displaying the content of the output clinical path information through the display screen.
A clinical pathway information management method based on big data comprises the following steps:
step 1: data acquisition, namely acquiring information actually generated in the operation process of a patient after the patient enters clinical path management, and recording out-of-path medical advice, wherein the clinical path information comprises clinical names, clinical procedures, clinical treatment schemes and clinical treatment effects;
step 2: data processing, namely processing the medical advice data collected in the step 1, performing classification comparison and scoring on each type of clinical path information, and screening out standard clinical path information;
and step 3: building a database, corresponding the clinical name in each clinical path information with the corresponding clinical flow, clinical treatment scheme and clinical treatment effect, and storing the corresponding various clinical path information to form a database;
and 4, step 4: training a database, namely pre-inputting a predicted clinical name, judging whether the predicted clinical name corresponds to standard clinical path information or not, if so, entering the next step, and if not, entering step 3, and matching the predicted clinical name with the standard clinical path information again until the database corresponding to the predicted clinical name and the standard clinical path information is trained;
and 5: inputting and matching clinical paths, inputting actual clinical names into the database trained in the step 4, and matching corresponding standard clinical path information;
step 6: and outputting the matched clinical path, outputting standard clinical path information corresponding to the actual clinical name so as to judge clinical cases and output the variation condition of the variation step in the standard path.
And 6, outputting the standard clinical path information, simultaneously playing the content of the standard clinical path information through a player, and displaying the content of the standard clinical path information through a display screen.
The invention has the following beneficial effects:
(1) according to the invention, the database is formed by collecting and screening various historical clinical path information, and the standard path variation condition information of a selected time period can be output only by inputting the clinical path name, so that data support of path revision is provided for a clinician.
(2) According to the severity of the clinical manifestations of the patients, the corresponding standard clinical path information can be obtained, so that the system can give corresponding suggestions according to the actual conditions of the patients, and the practicability is higher.
(3) When the standard clinical path information is output, the display screen can display the content of the standard clinical path information, and the player can play the content of the standard clinical path information, so that a clinician can quickly and directly obtain the content of the standard clinical path information, and can quickly and accurately take corresponding measures for a patient.
Drawings
FIG. 1 is a schematic diagram of a clinical pathway information management system according to the present invention;
FIG. 2 is a diagram illustrating a method for managing clinical pathway information according to the present invention.
Detailed Description
For a better understanding of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and the following examples.
Example (b):
as shown in fig. 1-2, a clinical pathway information management system and method based on big data includes a data acquisition unit, a data processing unit, a database unit and a pathway output unit, which are electrically connected in sequence;
the data acquisition unit is used for acquiring information actually generated in the operation process after a patient enters clinical path management and recording out-of-path medical advice; the clinical path information comprises clinical names, clinical procedures, clinical treatment schemes and clinical treatment effects; the historical clinical path information can be acquired from hospitals and clinics, and the acquisition of the historical clinical path information requires that data of various clinical names, clinical processes, clinical treatment schemes and clinical treatment effects corresponding to the clinical names are included, so that the capacity of a database can be enlarged on one hand, and a more accurate data packet can be obtained on the other hand;
the data processing unit is used for processing the medical advice data acquired by the data acquisition unit; each disease incidence name corresponds to a plurality of clinical path information, the clinical flow, the clinical treatment scheme and the clinical treatment effect under each clinical name are different, and the different reasons of each clinical path information are that the disease incidence time of corresponding patients is different, so that the severity of the disease condition is different.
The database unit is used for storing standard clinical path information and sequencing the clinical path information of various standards; the sorted clinical pathway information is biased to the calling standard clinical pathway information;
the output unit is used for outputting the variation condition of the variation step in the standard path and displaying the standard clinical path information.
The data processing unit comprises a data screening unit, a data classifying unit and a data analyzing unit;
the data screening unit is used for screening various clinical path information acquired by the data acquisition unit, and screening the clinical path information which has the simplest clinical flow, convenient clinical treatment scheme and best clinical treatment effect and corresponds to each clinical name;
the data classification unit is used for analyzing the variation condition of the clinical path information and classifying the clinical path information screened by the data screening unit, so that the system can output corresponding clinical path information.
Preferably, the path output unit comprises a voice prompt unit and a text display unit;
the voice prompt unit is used for broadcasting the content of the output clinical path information; the character display unit is used for displaying the content of the output clinical path information through the display screen. When the standard clinical path information is output, the display screen can display the content of the standard clinical path information, and the player can play the content of the standard clinical path information, so that a clinician can quickly and directly acquire the content of the standard clinical path information, and quickly and accurately take corresponding measures for a patient.
A clinical pathway information management method based on big data comprises the following steps:
step 1: data acquisition, namely acquiring information actually generated in the operation process of a patient after the patient enters clinical path management, and recording out-of-path medical advice, wherein the clinical path information comprises clinical names, clinical procedures, clinical treatment schemes and clinical treatment effects;
step 2: data processing, namely processing the medical advice data collected in the step 1, performing classification comparison and scoring on each type of clinical path information, and screening out standard clinical path information;
and step 3: building a database, corresponding the clinical name in each clinical path information with the corresponding clinical flow, clinical treatment scheme and clinical treatment effect, and storing the corresponding various clinical path information to form a database;
and 4, step 4: training a database, namely pre-inputting a predicted clinical name, judging whether the predicted clinical name corresponds to standard clinical path information or not, if so, entering the next step, and if not, entering step 3, and matching the predicted clinical name with the standard clinical path information again until the database corresponding to the predicted clinical name and the standard clinical path information is trained;
and 5: inputting and matching clinical paths, inputting actual clinical names into the database trained in the step 4, and matching corresponding standard clinical path information;
step 6: and outputting the matched clinical path, outputting standard clinical path information corresponding to the actual clinical name so as to judge clinical cases and output the variation condition of the variation step in the standard path.
Preferably, the standard clinical pathway information is output in step 6, and the content of the standard clinical pathway information is played through a player and displayed through a display screen.
When the system is used, a clinician diagnoses the clinical name of a patient according to the illness state of the patient, then inputs the clinical name into the system, and simultaneously inputs the duration of the illness of the patient, when the system acquires the clinical name, the system can call the database and match corresponding standard clinical path information, then outputs the corresponding standard clinical path information through the system, and the system can play and display the content of the standard clinical path information while outputting the standard clinical path information, so that the clinician can more quickly and directly acquire the content of the standard clinical path information, more quickly and accurately take corresponding measures for the patient, and simultaneously can output the standard path variation condition information of a selected time period only by inputting the clinical path name, thereby providing data support for path revision for the clinician.
The above is an embodiment of the present invention. The embodiments and specific parameters in the embodiments are only for the purpose of clearly illustrating the verification process of the invention and are not intended to limit the scope of the invention, which is defined by the claims, and all equivalent structural changes made by using the contents of the specification and the drawings of the present invention should be covered by the scope of the present invention.
Claims (5)
1. A big data based clinical pathway information management system, characterized by: the system comprises a data acquisition unit, a data processing unit, a database unit and a path output unit which are electrically connected in sequence;
the data acquisition unit is used for acquiring information actually generated in the operation process after a patient enters clinical path management and recording out-of-path medical advice;
the data processing unit is used for processing the medical advice data acquired by the data acquisition unit;
the database unit is used for storing standard clinical path information and sequencing the clinical path information of various standards;
the output unit is used for outputting the variation condition of the variation step in the standard path.
2. The big-data based clinical pathway information management system of claim 1, wherein: the data processing unit comprises a data screening unit and a data analysis unit;
the data screening unit is used for screening various clinical path information acquired by the data acquisition unit;
the data classification unit is used for analyzing the variation condition of the clinical path information and classifying the clinical path information screened by the data screening unit.
3. The big-data based clinical pathway information management system of claim 1, wherein: the path output unit comprises a voice prompt unit and a character display unit;
the voice prompt unit is used for broadcasting the content of the output clinical path information;
the character display unit is used for displaying the content of the output clinical path information through the display screen.
4. A clinical pathway information management method based on big data is characterized in that: the method comprises the following steps:
step 1: data acquisition, namely acquiring information actually generated in the operation process of a patient after the patient enters clinical path management, and recording out-of-path medical advice, wherein the clinical path information comprises clinical names, clinical procedures, clinical treatment schemes and clinical treatment effects;
step 2: data processing, namely processing the medical advice data collected in the step 1, performing classification comparison and scoring on each type of clinical path information, and screening out standard clinical path information;
and step 3: building a database, corresponding the clinical name in each clinical path information with the corresponding clinical flow, clinical treatment scheme and clinical treatment effect, and storing the corresponding various clinical path information to form a database;
and 4, step 4: training a database, namely pre-inputting a predicted clinical name, judging whether the predicted clinical name corresponds to standard clinical path information or not, if so, entering the next step, and if not, entering step 3, and matching the predicted clinical name with the standard clinical path information again until the database corresponding to the predicted clinical name and the standard clinical path information is trained;
and 5: inputting and matching clinical paths, inputting actual clinical names into the database trained in the step 4, and matching corresponding standard clinical path information;
step 6: and outputting the matched clinical path, outputting standard clinical path information corresponding to the actual clinical name so as to judge clinical cases and output the variation condition of the variation step in the standard path.
5. The big-data-based clinical pathway information management method according to claim 4, wherein: and 6, outputting the standard clinical path information, simultaneously playing the content of the standard clinical path information through a player, and displaying the content of the standard clinical path information through a display screen.
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| US6230142B1 (en) * | 1997-12-24 | 2001-05-08 | Homeopt, Llc | Health care data manipulation and analysis system |
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| EP3144833A1 (en) * | 2015-09-16 | 2017-03-22 | Fujitsu Limited | Computer apparatus and method for enhancing clinical pathways |
| CN110223741A (en) * | 2019-06-10 | 2019-09-10 | 四川互慧软件有限公司 | A kind of clinic path information system |
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- 2021-06-29 CN CN202110730970.7A patent/CN113539504A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6230142B1 (en) * | 1997-12-24 | 2001-05-08 | Homeopt, Llc | Health care data manipulation and analysis system |
| CN102567607A (en) * | 2010-12-28 | 2012-07-11 | 广州中医药大学第二附属医院 | Clinic path information system |
| CN103617474A (en) * | 2013-09-30 | 2014-03-05 | 上海市东方医院（同济大学附属东方医院） | System and method for managing clinical path variation based on dynamic routing algorithm |
| CN104408329A (en) * | 2014-12-18 | 2015-03-11 | 北京大学深圳医院 | Electronic clinical nursing path management system and method |
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