CN107680636B - Clinical information processing system and method based on metadata - Google Patents
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Abstract
The invention relates to a clinical information system, in particular to a clinical information processing system based on metadata, which comprises the following components connected in sequence: the metadata module is used for reading metadata information required by the processing flow, and the metadata information comprises form generation metadata information and processing logic metadata information; the form dynamic generation module is used for generating metadata information according to the form and dynamically generating the form; a rendering module to render the form to a user interface; the preprocessing module is used for generating corresponding data processing logic according to the processing logic metadata information; the data acquisition module is used for inputting real-time patient data information from the outside to the form; the post-processing module is used for carrying out data processing on the real-time patient data information, wherein the data processing comprises statistical operation on the patient data information and operation based on a clinical sub-professional calculation model; and the data pipeline module is used for carrying out data management on the post-processed patient data information.
Description
Technical Field
The invention relates to a clinical information system, in particular to a clinical information processing system and method based on metadata.
Background
With the development of modern clinical medicine, various medical information systems and medical equipment are widely applied to the field of clinical medicine, and clinical information is more and more intensive. The current Hospital Information System (Hospital Information System) is constructed according to the general medical service flow of the Hospital, and the structure of the Hospital Information System comprises a doctor workstation, a nurse workstation, a clinical examination System, a medical imaging System, a blood transfusion and blood bank management System, an operation anesthesia management System, a drug management System, an economic management System and the like, and various systems form a System by themselves or form business logic to and from relations. For example, a doctor workstation mainly uses a user to write medical orders and write electronic medical records, a nurse workstation receives the medical orders and executes the medical orders, and the clinical examination system mainly has the functions of applying for examination, transmitting examination reports and the like. Because the current hospital information system is based on the general business logic framework of each clinical specialty of the hospital, the clinical sub-specialty conditions, such as a critical evaluation system of the intensive care medical department, a heart evaluation system of the heart medical department, etc., cannot be recorded. In addition, the clinical information of the patients of the current hospital information system is dispersed in different system modules, so that the fragmentation and data islanding phenomena are serious, and the clinical information of the patients cannot be effectively and intensively displayed, analyzed and applied.
Metadata (metadata) is data about data, and the definition of metadata by International association of drawings (International Federation of Library Associations and institutions): "metadata" is data describing data that can be used to assist in identifying, describing, and indicating any data about the location of network electronic resources. The above definitions are too simple and general, and in fact, different metadata will be described for the same data in different domains. In the field of data warehouse, metadata includes business description information of recorded data items, and supports management and maintenance of data by a system; in the field of software construction, metadata changes program behavior through modifications to its data.
In summary, the existing hospital information system has many essential defects due to the system architecture. The relatively solidified system can not meet the requirement of rapidly developing clinical medicine, the input items and the output items of the patient information are complicated, a clinical sub-professional calculation model can not be added to meet the actual requirement of clinical sub-professionals, and the data utilization rate is low. The metadata is data related to data, has flexibility and expandability, and can effectively overcome the defects of the existing hospital information system by adopting a clinical information processing system based on the metadata. The clinical information system has high medical speciality, the concept of the invention is based on deep understanding of medical clinical work and detailed consideration of metadata technology application, and the basic function specification (No. 2002 & 116) of the hospital information system, the basic specification (trial run) of the informatization construction of the traditional Chinese medicine hospital (No. 2003 & 53) of the traditional Chinese medicine (No. 2002 & 190) of medical record writing (writing) (No. 2002 & 190) of the traditional Chinese medicine, the invention is created by the implementation of relevant specifications such as basic writing specifications (trial implementation) of traditional Chinese and western medicine combined medical records (published national medicine [2002] 36), functional specifications (trial implementation) of an electronic medical record system (published medical administration [2010] 114), basic specifications (trial implementation) of the electronic medical records (published medical administration [2010] 24), basic functional specifications (trial implementation) of a hospital information system in Sichuan province, an information security level protection management method (official character 200743), and the like.
Disclosure of Invention
The invention aims to overcome the defects and provide a clinical information processing system based on metadata, which can meet the requirements of clinical sub-specialty. In order to achieve the above purpose, the invention provides the following technical scheme:
a metadata-based clinical information processing system comprising, connected in sequence:
the metadata module is used for reading metadata information required by the processing flow, and the metadata information comprises form generation metadata information and processing logic metadata information;
the form dynamic generation module is used for generating metadata information according to the form and dynamically generating the form;
a rendering module to render the form to a user interface;
the preprocessing module is used for generating corresponding data processing logic according to the processing logic metadata information;
the data acquisition module is used for inputting real-time patient data information from the outside to the form;
the post-processing module is used for carrying out data processing on the real-time patient data information, wherein the data processing comprises statistical operation on the patient data information and operation based on a clinical sub-professional calculation model;
the data pipeline module is used for carrying out data management on the post-processed patient data information; the data management comprises any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage and auditing judgment.
Further, the processing flow includes form dynamic generation, rendering, preprocessing, data acquisition, post-processing and data pipeline data management. The form is dynamically generated, namely, the input item output item and the presentation mode of the form content can be flexibly changed according to the metadata description information.
Furthermore, the metadata management system mainly comprises three aspects of management, namely collection metadata which is corresponding to tables in the database and describes the overall attributes of the data collection, and field metadata which is corresponding to fields in the database and describes the attributes of the single data. The last aspect is a dictionary bound to field metadata, which is a two-dimensional array describing the name (name) and corresponding value (value) of the option. The collection metadata and the field metadata are distinguished according to the described objects, namely, the collection metadata is used for describing the attributes of the data collection, and the field metadata is used for describing the attributes of the data field. The complete metadata information includes both an overall description of the collection metadata to the data set and an independent description of the field metadata to the field data. Common dictionaries are national standard and line standard dictionaries such as a gender dictionary, a nationality dictionary and an ICD-10 dictionary. Meanwhile, the clinical information processing system allows a user to define the relevant dictionary according to actual requirements and bind the relevant dictionary with the metadata, and after the relevant dictionary is bound, the corresponding dictionary is automatically called in a user input interface, and the user can input the relevant dictionary in a selection mode. The complete metadata information includes both the whole description of the metadata of the assembly and the independent description of the metadata of the Ge field in the metadata of the assembly.
Further, the rendering module rendering types include single-line rendering and multi-line rendering.
Further, the data processing logic includes a pre-processing script that is executed prior to data acquisition, the pre-processing script including: collecting data from the data interface and filling the data into the corresponding position of the form; displaying or hiding the input box according to the environment; judging whether a form is filled in a certain time period or not; whether a prompt dialog box pops up before the form is filled; and judging the applicable objects of the form, and prohibiting filling in object information except the applicable objects into the form, wherein if the form is only applied to adults, children information is prohibited from being filled in the adult form if a certain patient is children.
Furthermore, the external input mode of the data acquisition module comprises a standard data interface and manual input. The standard data interface is used for inputting other clinical information system data and instrument equipment data. The other information systems include a Hospital Information System (HIS), a hospital examination system (LIS) and a medical image archiving and communication system (PACS), and the equipment includes monitoring instruments and therapeutic instruments. The manual input mode is used for inputting manual acquisition information; the manual collected information comprises patient observation records, execution records and evaluation records.
Furthermore, the clinical information processing system also comprises a real-time verification module connected with the data acquisition module and used for verifying the identity authority of the data input party, and the data acquisition module only receives the user side with the input authority.
Further, the clinical information processing system further comprises a trigger module connected to the data acquisition module for determining whether to activate the corresponding triggerable application function. The triggerable application functions include automatic acquisition and timed acquisition. The automatic acquisition completely controls the data by triggering the corresponding script, and meanwhile, the interactive operation can be carried out through the script and other field metadata to complete the automatic filling function of the form. And a preset Cron editor is bound to the set metadata by adopting a Cron editor for timing acquisition, and the system automatically acquires data from the corresponding interface according to preset time.
Further, the post-processing module comprises a post-processing script after the user input is completed or the system acquisition is completed. The post-processing script comprises data operation, statistics operation of the patient information of the data operation, and operation based on a clinical sub-professional calculation model on the patient data. The post-processing script also comprises a threshold alarm script, and if the input patient data exceeds a preset normal numerical value of the data, the threshold alarm is triggered.
Further, the data pipeline module sends the data set information after the interaction processing to the data pipeline module, and performs any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage and auditing judgment.
A method of metadata-based clinical information processing, comprising:
s1, reading metadata information needed by the processing flow;
s2, generating metadata information according to the input form, and dynamically generating the form;
s3, generating data processing logic according to the input processing logic metadata information;
s4, collecting real-time patient information;
s5, processing the real-time patient information data;
s6, performing data management on the processed patient information data.
Further, the data management comprises any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage and auditing judgment
Further, the data encryption adopts DES bidirectional data encryption.
Further, the data storage mode comprises iterative updating, incremental updating and distributed storage. Iterative updating means that after the data is entered for the first time, the entry of subsequent data is always updated on the basis of the data entered for the first time. Incremental updating means that each time data is input, a piece of data is inserted into the database, and the data is accumulated in an incremental mode. The distributed storage indicates whether a distributed storage mode is selected.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a clinical information processing system and method based on metadata, wherein the existing clinical information processing system logic framework is based on hospital general business processes, is difficult in business expansion and cannot meet actual requirements of clinical sub-major. Due to the introduction of metadata, the flexibility and the expandability of the clinical information processing system are improved, the clinical information processing method based on the system can adapt to the needs of clinical medicine, flexibly increase input items and output items, dynamically generate a form according to the needs of a specific patient, construct a processing scheme according to the specific needs of clinical sub-specialties, and effectively overcome the defect that the existing clinical information system cannot meet the needs.
Description of the drawings:
FIG. 1 is a metadata-based clinical information processing system framework diagram of the present invention;
FIG. 2 is a flow chart of a method for processing clinical information based on metadata according to the present invention;
FIG. 3 is a diagram of a data pipeline framework in embodiment 1 of the present invention.
The labels in the figure are: 01-metadata module, 02-form dynamic generation module, 03-rendering module, 04-preprocessing module, 05-data acquisition module, 06-post-processing module, 07-data pipeline module, 051-real-time verification module and 052-trigger module.
Detailed Description
The present invention will be described in further detail with reference to test examples and specific embodiments. It should be understood that the scope of the above-described subject matter is not limited to the following examples, and any techniques implemented based on the disclosure of the present invention are within the scope of the present invention.
Example 1
A clinical information processing system based on metadata, as shown in fig. 1, comprising, connected in sequence:
the metadata module 01 is configured to read metadata information required by a processing flow, where the metadata information includes form generation metadata information and processing logic metadata information;
the form dynamic generation module 02 is used for generating metadata information according to the form and dynamically generating the form;
a rendering module 03 for rendering the form to a user interface;
the preprocessing module 04 is configured to generate a corresponding data processing logic according to the processing logic metadata information;
the data acquisition module 05 is used for inputting real-time patient data information from the outside to the form;
a post-processing module 06, configured to perform data processing on the real-time patient data information, where the data processing includes statistical operation on the patient data information and operation based on a clinical sub-professional calculation model;
the data pipeline module 07 is used for performing data management on the post-processed patient data information; the data management comprises any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage and auditing judgment.
Further, the processing flow includes form dynamic generation, rendering, preprocessing, data acquisition, post-processing and data pipeline data management. The form is dynamically generated, namely, the input item output item and the presentation mode of the form content can be flexibly changed according to the metadata description information.
Furthermore, metadata management comprises three layers, and metadata can be flexibly managed according to actual application requirements: set metadata, which is used to describe the overall attributes of the data set; and field metadata used for describing the attribute of each data field. The metadata comprises data types, input modes, processing modes, storage modes, presentation modes, data sources, threshold values, index modes, sorting modes, auditing judgment and calculation modes of clinical data. And the data dictionary bound with the field metadata is a two-dimensional array and is used for describing the option names and the numerical values corresponding to the options. Common dictionaries are national standard and line standard dictionaries such as a gender dictionary, a nationality dictionary and an ICD-10 dictionary. Meanwhile, the clinical information processing system allows a user to define the relevant dictionary according to actual requirements and bind the relevant dictionary with the metadata, and after the relevant dictionary is bound, the corresponding dictionary is automatically called in a user input interface, and the user can input the relevant dictionary in a selection mode. Complete metadata, containing an overall description of the data set by the aggregate metadata, and an independent description of the field metadata. Table 1 shows basic set metadata information of the present system, and table 2 shows basic field metadata information of the present system.
Table 1 aggregate metadata (metadataset) information
TABLE 2 field metadata information
Further, the rendering module 03 rendering types include single-line rendering and multi-line rendering.
Furthermore, the data processing logic comprises a preprocessing script executed before data acquisition, wherein the preprocessing script comprises the steps of acquiring data from a data interface and filling the data into a corresponding position of a form; displaying or hiding the input box according to the environment; judging whether a form is filled in a certain time period or not; popping up a prompt dialog box before filling the form; and judging the applicable objects of the form, and prohibiting filling in object information except the applicable objects into the form, wherein if the form is only applied to adults, children information is prohibited from being filled in the adult form if a certain patient is children.
Further, the external input mode of the data acquisition module 05 includes standard data interface input and manual input. The standard data interface is used for inputting other clinical information system data and instrument equipment data. The other information systems include a Hospital Information System (HIS), a hospital examination system (LIS) and a medical image archiving and communication system (PACS), and the equipment includes monitoring instruments and therapeutic instruments. The manual input module is used for inputting manual acquisition information; the manual collected information comprises patient observation records, execution records and evaluation records.
Further, the clinical information processing system further comprises a real-time verification module 051 connected with the data acquisition module 05 and used for verifying the identity authority of the data input party, and the data acquisition module only receives a user side with the input authority.
Further, the clinical information processing system also includes a trigger module 052 coupled to the data acquisition module 05 for determining whether to enable the corresponding triggerable application function. The triggerable application functions include automatic acquisition and timed acquisition. The automatic acquisition completely controls the data by triggering the corresponding script, and meanwhile, the interactive operation can be carried out through the script and other field metadata to complete the automatic filling function of the form. And a preset Cron editor is bound to the set metadata by adopting a Cron editor for timing acquisition, so that the system can automatically acquire data from a corresponding interface according to preset time.
Further, the post-processing module 06 includes a post-processing script after the user input is completed or the system acquisition is completed. The post-processing script comprises data operation, statistical operation of the patient information of the data operation and operation based on a clinical sub-professional calculation model of the patient data. The post-processing script 06 also includes a threshold alarm script, which will trigger a threshold alarm if the input patient data exceeds a preset normal value of the data.
Further, the data pipeline module 07 sends the data set information after the interaction processing to the data pipeline module, and performs any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage, and audit determination.
A method for processing clinical information based on metadata, as shown in fig. 2, comprising:
s1, reading metadata information needed by the processing flow;
s2, generating metadata information according to the input form, and dynamically generating the form;
s3, generating data processing logic according to the input processing logic metadata information;
s4, collecting real-time patient information;
s5, processing the real-time patient information data;
s6, performing data management on the processed patient information data.
Further, the data management includes any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage, and audit determination.
Further, the data encryption adopts DES bidirectional data encryption.
Further, the data storage mode comprises iterative updating, incremental updating and distributed storage.
Specifically, there are numerous models of demand for clinical sub-specialty including acute physiology and chronic health scoring for critically ill patients, sequential organ failure scoring, death prediction models, pressure sore assessment models; new york line heart function extension for heart disease, heart failure index; used for prospective scores in psychiatric department, depression table, etc. For example, the clinical information processing system described in the present system is applied to process the death prediction model data information, and the specific processing method is as follows:
reading metadata information required by a processing flow, generating a dynamic form, a user interaction interface and data processing logic by combining the death prediction model requirement, wherein the user interface provides an input interface for a manual input end;
patient information required by the death prediction model is acquired through the data acquisition module 05, the user input authority is firstly verified in the acquisition process, the data acquisition module 05 only receives user input end data for acquiring the input authority, and automatic timing acquisition can be set for the data information from the monitoring instrument and/or the treatment instrument;
the post-processing module 06 performs data calculation based on a death prediction model on the input patient data;
the patient data information and the death prediction information processed by the post-processing module 06 are sent to the data processing pipeline module 07, and a basic framework of the data processing pipeline module 07 is as shown in fig. 3, and any operation or any combination of operations in data verification, data encryption, data extraction, data indexing, data storage and auditing determination is performed. And each processing module processes according to the corresponding attribute described by the metadata. The data verification module is used for verifying the format correctness and the logic correctness of input data, wherein the format correctness is whether the data of input integers, decimal numbers, mail addresses, character strings or Chinese characters meet the input requirements or not. The logical correctness is used for verifying whether the input data is unique, whether the input data is restricted (the relation with other data, such as the input data is the discharge time, and the discharge time is restricted by the discharge time only after the discharge time), and whether the input data is valid (such as whether the maximum length of the character string is exceeded, and whether the preset maximum value and minimum value interval of the data are exceeded). And the data encryption module carries out DES bidirectional data encryption on the data containing the encryption attribute in the metadata according to a random password. And the data extraction module extracts the data which are described as statistical data in the metadata into the statistical database. And the data indexing module indexes the data according to the corresponding index mode in the metadata. And the data storage module stores the input data according to the data storage attributes described in the metadata, and the data storage module comprises iterative updating, incremental updating and distributed storage. Iterative updating means that after the data is entered for the first time, the entry of subsequent data is always updated on the basis of the data entered for the first time. Incremental updating means that each time data is input, a piece of data is inserted into the database, and the data is accumulated in an incremental mode. The distributed storage indicates whether a distributed storage mode is selected. And the auditing judgment module is used for sending the data needing to be audited to the corresponding user for auditing.
Claims (10)
1. A clinical information processing system based on metadata, comprising, connected in sequence:
the metadata module is used for reading metadata information required by the processing flow, and the metadata information comprises form generation metadata information and processing logic metadata information;
the form dynamic generation module is used for generating metadata information according to the form and dynamically generating the form;
a rendering module to render the form to a user interface;
the preprocessing module is used for generating corresponding data processing logic according to the processing logic metadata information; the data processing logic includes a pre-processing script that is executed prior to data acquisition, the pre-processing script including: collecting data from the data interface and filling the data into the corresponding position of the form; displaying or hiding the input box according to the environment; judging whether a form is filled in a certain time period or not; whether a prompt dialog box pops up before the form is filled; judging the applicable objects of the form, and prohibiting filling object information except the applicable objects into the form;
the data acquisition module is used for inputting real-time patient data information from the outside to the form;
the post-processing module is used for carrying out data processing on the real-time patient data information, wherein the data processing comprises statistical operation on the patient data information and operation based on a clinical sub-professional calculation model;
the data pipeline module is used for performing data management on the statistical operation result of the patient data information after data processing and the operation result based on the clinical sub-professional calculation model; the data management comprises any operation or any operation combination in data verification, data encryption, data extraction, data indexing, data storage and auditing judgment;
the metadata module includes: collecting metadata and field metadata;
wherein the aggregate metadata information is shown in the following table:
wherein the field metadata information is shown in the following table:
the collection metadata is used for describing the attribute of each data field, and the field metadata is used for describing the overall attribute of the data collection.
2. The clinical information processing system of claim 1, wherein the metadata information includes metadata describing data types, input manners, processing manners, storage manners, presentation manners, data sources, thresholds, indexing manners, sorting manners, audit decisions, and manners of calculating clinical data.
3. The clinical information processing system of claim 1, wherein the external input modality of the data acquisition module comprises standard data interface input.
4. The clinical information handling system of claim 3, wherein the standard data interface is configured to input other clinical information system data and instrument device data.
5. The clinical information processing system according to claim 1, further comprising a real-time verification module connected to the data collection module for verifying the identity authority of the data input party.
6. The clinical information processing system of claim 1, further comprising a trigger module coupled to the data acquisition module for determining whether to turn on the corresponding triggerable application module.
7. The clinical information processing system of claim 6, wherein the triggerable application modules include an automatic acquisition module and a timed acquisition module.
8. A method for processing clinical information based on metadata, comprising:
s1, reading metadata information needed by the processing flow;
s2, generating metadata information according to the input form, and dynamically generating the form;
s3, generating data processing logic according to the input processing logic metadata information; the data processing logic includes a pre-processing script that is executed prior to data acquisition, the pre-processing script including: collecting data from the data interface and filling the data into the corresponding position of the form; displaying or hiding the input box according to the environment; judging whether a form is filled in a certain time period or not; whether a prompt dialog box pops up before the form is filled; judging the applicable objects of the form, and prohibiting filling object information except the applicable objects into the form;
s4, collecting real-time patient information;
s5, processing the real-time patient information data; the data processing comprises: performing statistical operation on the patient data information and operation based on a clinical sub-professional calculation model;
s6, performing data management on the processed patient information data.
9. The clinical information processing method according to claim 8, wherein the data management includes data encryption using DES bidirectional data encryption.
10. The clinical information processing method according to claim 8, wherein the data management includes data storage in a manner including iterative update, incremental update, and distributed storage.
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| CN101827131A (en) * | 2010-04-29 | 2010-09-08 | 上海索羽计算机信息科技有限公司 | Clinical information system of hospital emergency center based on wireless network technology |
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| CN101827131A (en) * | 2010-04-29 | 2010-09-08 | 上海索羽计算机信息科技有限公司 | Clinical information system of hospital emergency center based on wireless network technology |
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