CN111145849B - Medical information verification method, device, medium and electronic equipment - Google Patents
Medical information verification method, device, medium and electronic equipment Download PDFInfo
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- CN111145849B CN111145849B CN201911106993.XA CN201911106993A CN111145849B CN 111145849 B CN111145849 B CN 111145849B CN 201911106993 A CN201911106993 A CN 201911106993A CN 111145849 B CN111145849 B CN 111145849B
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The embodiment of the invention provides a medical information verification method, a medical information verification device, a computer readable medium and electronic equipment, wherein the method comprises the following steps: determining a nursing initiating main body and a nursing executing main body which have association relation with a nursing object; acquiring care initiation data related to the care object and the care initiation subject, and acquiring care execution data related to the care object and the care execution subject; carrying out structural processing on the nursing initiation data to obtain an initiation data relation table comprising an initiation event data table and an initiation operation data table; carrying out structural processing on the nursing execution data to obtain an execution data processing result comprising execution event data and execution operation data; and carrying out consistency check on the execution data processing result and the initiation data relation table. The method can improve the accuracy and reliability of medical care information.
Description
Technical Field
The present invention relates to the field of computer technology, and in particular, to a medical information verification method, a medical information verification device, a computer readable medium, and an electronic apparatus.
Background
The nursing record is an objective record of the nursing object describing the state of illness change, the nursing requirement condition and the like, and has legal evidence obtaining. Whether in a medical institution or a medical and care combination institution, the nursing records contain a large amount of valuable data information, and if the data information can be effectively extracted, analyzed and utilized, the nursing records play an important role in the scientific decision of nurses. However, at present, there are three major problems with care records:
(1) Mainly for manual input, most of input contents are unstructured data, and effective analysis and utilization are difficult to perform;
(2) Because nurses experience is different, the phenomenon that recorded data is unreasonable sometimes occurs, and even the situation that the recorded data is violated with medical advice sometimes occurs, for example, doctors open medical advice of 'fasted one week', but nurses describe the data of feeding types and feeding amounts of nursing objects on nursing records, so that the quality of the nursing records is directly influenced, and medical disputes can be caused.
(3) For a certain nursing object, the doctor's advice and the course record are often the same person, the phenomenon that the doctor's advice is unreasonable generally appears less, more focuses on the problem that doctor's advice, course record and nursing record information are inconsistent, and no effective technical method can be realized at present, which is also the pain point that nurses often face.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the invention and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
The embodiment of the invention aims to provide a medical information verification method, a medical information verification device, a computer readable medium and electronic equipment, so that the technical problems of poor recording accuracy, low utilization rate and the like of medical information in related technologies are overcome at least to a certain extent.
Other features and advantages of the invention will be apparent from the following detailed description, or may be learned by the practice of the invention.
According to a first aspect of an embodiment of the present invention, there is provided a medical care information verification method, including:
determining a nursing initiating main body and a nursing executing main body which have association relation with a nursing object;
acquiring care initiation data related to the care object and the care initiation subject, and acquiring care execution data related to the care object and the care execution subject;
carrying out structural processing on the nursing initiation data to obtain an initiation data relation table comprising an initiation event data table and an initiation operation data table;
Carrying out structural processing on the nursing execution data to obtain an execution data processing result comprising execution event data and execution operation data;
and carrying out consistency check on the execution data processing result and the initiation data relation table.
In some embodiments of the present invention, based on the above technical solutions, the determining a care initiating subject and a care executing subject having an association relationship with a care object includes:
acquiring object identification information of a nursing object, and determining main body distribution information related to the nursing object according to the object identification information;
and determining a nursing initiating main body and a nursing executing main body which have association relation with the nursing object according to the main body allocation information.
In some embodiments of the present invention, based on the above technical solution, the acquiring the care initiation data related to the care target and the care initiation subject, and acquiring the care execution data related to the care target and the care execution subject, includes:
acquiring object identification information of the nursing object, initiating main body identification information of the nursing initiating main body and executing main body identification information of the nursing executing main body;
Determining a nursing archive database and nursing data to be archived which are related to the nursing object according to the object identification information;
extracting nursing initiating data related to the nursing initiating main body from the nursing archive database according to the initiating main body identification information;
and extracting nursing execution data related to the nursing execution body from the nursing data to be archived according to the execution body identification information.
In some embodiments of the present invention, based on the above technical solution, the structuring the care initiation data to obtain an initiation data relationship table including an initiation event data table and an initiation operation data table includes:
extracting a nursing initiating text in the nursing initiating data, and performing word segmentation processing on the nursing initiating text to obtain a plurality of initiating text fields and field labels corresponding to the initiating text fields;
querying a standardized dictionary table to obtain a standardized initiating field corresponding to the initiating text field, and classifying the standardized initiating field into an initiating event field and an initiating operation field according to the field label;
filling the initiating event field into an event data table template according to the field label to obtain an initiating event data table, and filling the initiating operation field into an operation data table template according to the field label to obtain an initiating operation data table;
And integrating the initiating event data table and the initiating operation data table to form an initiating data relation table.
In some embodiments of the present invention, based on the above technical solution, the structuring the care execution data to obtain an execution data processing result including execution event data and execution operation data includes:
extracting nursing execution text in the nursing execution data, and performing word segmentation processing on the nursing execution text to obtain a plurality of execution text fields and field tags corresponding to the execution text fields;
querying a standardized dictionary table to obtain a standardized execution field corresponding to the execution text field, and classifying the standardized execution field into an execution event field and an execution operation field according to the field tag;
and integrating the execution event field and the execution operation field according to the field label to form an execution data processing result comprising the execution event data and the execution operation data.
In some embodiments of the present invention, based on the above technical solutions, the performing consistency check on the execution data processing result and the initiation data relationship table includes:
Acquiring execution event data and execution operation data from the execution data processing result, and acquiring an initiation event data table and an initiation operation data table from the initiation data relation table;
performing consistency check on the execution event data and the initiation event relation table;
and carrying out consistency check on the execution operation data and the execution event relation table.
In some embodiments of the present invention, based on the above technical solution, the performing consistency check on the execution event data and the initiation event relation table includes:
determining a field tag list comprising a plurality of field tags according to the execution event data and the initiation event relationship table;
traversing field tags in the field tag list to determine an execution event field and an initiation event field corresponding to each of the field tags;
inputting an execution event field and an initiation event field corresponding to the same field tag into a pre-trained semantic recognition model;
and judging whether the semantic information of the execution event field and the semantic information of the initiation event field are consistent according to the output result of the semantic recognition model.
According to a second aspect of the present invention, there is provided a medical information verification apparatus, the apparatus comprising:
A subject determination module configured to determine a care initiation subject and a care execution subject having an association with a care object;
a data acquisition module configured to acquire care initiation data related to the care object and the care initiation subject, and acquire care execution data related to the care object and the care execution subject;
a first structuring processing module configured to perform structuring processing on the care initiation data to obtain an initiation data relationship table including an initiation event data table and an initiation operation data table;
a second structuring processing module configured to perform structuring processing on the care execution data to obtain an execution data processing result including execution event data and execution operation data;
and the consistency check module is configured to carry out consistency check on the execution data processing result and the initiation data relation table.
According to a third aspect of embodiments of the present invention, there is provided a computer readable medium having stored thereon a computer program which when executed by a processor implements the healthcare information verification method according to the first aspect of the above embodiments.
According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device including: one or more processors; and a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the healthcare information verification method as set forth in the first aspect in the above embodiments.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
in the technical scheme provided by the embodiments of the invention, the nursing initiating data from the nursing initiating main body is structured to form the initiating data relation table, and the nursing executing data from the nursing executing main body is structured to logically check the structured data from two different sources to judge whether the related data are consistent, so that the accuracy and reliability of the medical information can be improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
Fig. 1 schematically illustrates a flow chart of steps of a method for verifying medical information in some embodiments of the invention.
Fig. 2 schematically illustrates a flowchart of steps for determining a care-initiating subject and a care-executing subject in some embodiments of the invention.
Fig. 3 schematically illustrates a flowchart of the steps for acquiring data in some embodiments of the invention.
Fig. 4 schematically illustrates a flow chart of steps for structuring care initiation data in some embodiments of the invention.
Fig. 5 schematically illustrates a flow chart of steps for structuring care execution data in some embodiments of the invention.
FIG. 6 schematically illustrates a flowchart of the steps for performing a consistency check in some embodiments of the invention.
FIG. 7 schematically illustrates a flowchart of the steps for consistency checking event class data in some embodiments of the invention.
Fig. 8 schematically illustrates a schematic diagram of the medical information verification method of the present invention in an application scenario.
Fig. 9 schematically illustrates a block diagram of a medical information verification device in some embodiments of the invention.
Fig. 10 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the invention.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
In the related technology of the invention, simple rules can be manually formulated generally, the medical advice codes are associated with specific form codes, form IDs are acquired through the rules when the medical advice is executed, and the data is input and stored by jumping to a form input interface. But this approach is only workable for a small fraction of orders and is not satisfactory for most orders. Firstly, in an actual business scene, nursing records are objective descriptions of physical and psychological changes, medical advice execution conditions and reactions of nursing objects, and form filling is not required after medical advice is made; secondly, the structured forms which can be strongly associated with the doctor's advice are few, so the problem that nursing records are input incorrectly and data cannot be checked cannot be solved.
Aiming at the problems in the related art, the invention provides a medical information verification method, a medical information verification device, a computer readable medium and electronic equipment, which can solve the problem that structured or unstructured data of a nursing record are reasonably matched with information of medical advice data, can verify whether the data violate the information of the medical advice when the data is input, and can solve the problem that the nursing record deviates from the input information of the medical advice, electronic medical record and the like.
Fig. 1 schematically illustrates a flow chart of steps of a method for verifying medical information in some embodiments of the invention. As shown in fig. 1, the method may mainly include the following steps:
step S110, determining a nursing initiating main body and a nursing executing main body which have association relation with the nursing object.
The care target may be a patient who receives diagnosis and treatment of a disease in a medical facility such as a hospital or clinic or a nursing staff who receives nursing care in a medical care combination structure such as a nursing home or a health care facility. The care initiation subject is an initiator of a care event for a care object, which may be, for example, a doctor of a hospital. The care execution body is an executor of a care event, and may be, for example, a nurse or a carer who performs a care job on a care target.
Step S120, acquiring nursing initiating data related to the nursing object and the nursing initiating main body, and acquiring nursing executing data related to the nursing object and the nursing executing main body.
The care initiation data may include various data such as orders, electronic medical records, and course records that the care initiation subject fills or records for the care subject. The care execution data may include various data such as care records, care documents, measurement sheets, and the like that the care execution body fills out or records for the care subject.
And S130, structuring the nursing initiation data to obtain an initiation data relation table comprising an initiation event data table and an initiation operation data table.
The step can utilize a pre-trained machine learning model to carry out structural processing on the nursing initiating data, and the result of the structural processing can comprise event data and operation data. Wherein the event type data is an archive record of the nursing event, for example, a certain person handles the hospitalization procedure at a certain time point; the operational class data is an indicative record of no care events, e.g. a person needs to take a certain medication at a certain point in time. The event type data can be recorded in an initiating event data table, the operation type data is recorded in an initiating operation data table, and the initiating event data table and the initiating operation data table form an initiating data relation table.
And S140, structuring the nursing execution data to obtain an execution data processing result comprising the execution event data and the execution operation data.
The step can also utilize a pre-trained machine learning model to carry out structural processing on the nursing execution data so as to obtain corresponding execution event data and execution operation data. The machine learning model used in this step and the machine learning model used in the previous step may have the same model framework, and for example, a convolutional neural network (Convolutional Neural Networks, CNN) or a cyclic neural network (Recurrent Neural Network, RNN) may be employed as the initial network architecture. Training with the labeled nursing initiation data sample may result in a model for structuring the nursing initiation data, while training with the labeled nursing execution data may result in a model for structuring the nursing execution data.
And S150, carrying out consistency check on the data processing result and the initiated data relation table.
Comparing the result of the processing of the execution data obtained in step S140 with the originating data relationship table obtained in step S130, it can be determined whether there is a deviation or contradiction between the related data. If the verification results are consistent, the execution data processing results can be considered to be accurate, and the execution data processing results can be stored. If the verification results are inconsistent, the execution data processing results can be considered to have logging errors, and correction or adjustment should be performed.
In the medical information verification method provided by the embodiment of the invention, the nursing initiating data from the nursing initiating main body is structured to form the initiating data relation table, and the nursing executing data from the nursing executing main body is structured to logically verify the structured data from two different sources to judge whether the related data are consistent, so that the accuracy and reliability of the medical information can be improved.
There may be a plurality of different care periods during the care for each care subject, and the care initiation subject and the care execution subject for the different care periods are also different. Therefore, in the case of consistency verification, it is necessary to accurately perform relationship matching on the related subjects. Fig. 2 schematically illustrates a flowchart of steps for determining a care-initiating subject and a care-executing subject in some embodiments of the invention. As shown in fig. 2, on the basis of the above embodiment, step s110 of determining a care-initiating subject and a care-executing subject having an association relationship with a care object may include the steps of:
And S210, acquiring object identification information of the nursing object, and determining main body allocation information related to the nursing object according to the object identification information.
The object identification information is a unique identification for distinguishing the care object, and may be, for example, an object identification code having a unique property generated from related information such as a name of the care object, a care start time, and the like. The subject identification information is used to query and obtain subject allocation information related to the care subject, wherein the subject allocation information comprises identification information of a care initiating subject allocated to the care subject in different care periods and identification information of a care executing subject.
And S220, determining a nursing initiating main body and a nursing executing main body which have association relation with the nursing object according to the main body allocation information.
According to the inquired main body allocation information, a nursing initiating main body and a nursing executing main body which have association relations with the nursing object in the current nursing period can be determined, and the nursing initiating main body and the nursing executing main body have strict corresponding relations so as to avoid comparison errors of related data.
After the care initiation subject and the care execution subject having the correspondence relationship are determined, the care initiation data and the care execution data corresponding to the relevant subject may be further acquired. Fig. 3 schematically illustrates a flowchart of the steps for acquiring data in some embodiments of the invention. As shown in fig. 3, on the basis of the above embodiments, step s120 of acquiring care initiation data related to a care target and a care initiation subject and acquiring care execution data related to a care target and a care execution subject may include the steps of:
Step S310, acquiring object identification information of a nursing object, initiating main body identification information of a nursing initiating main body and executing main body identification information of a nursing executing main body.
In order to distinguish between different care objects, care initiating subjects and care executing subjects, different objects and subjects may be assigned corresponding object identification information, initiating subject identification information and executing subject identification information. Meanwhile, the association relationship among the nursing object, the nursing initiating main body and the nursing executing main body can be determined according to the relevant identification information.
And S320, determining a nursing archive database and nursing data to be archived which are related to the nursing object according to the object identification information.
A care profile database associated with the care object may be determined from the set of system databases based on the object identification information, the care profile database being used to store complete medical data of the care object, which may include, for example, medical orders, electronic medical records, patient records, and the like. The data to be archived, which are related to the care object, can also be determined in the cache database according to the object identification information, and can comprise data such as care records, care documents, measurement sheets and the like to be verified.
And S330, extracting nursing initiating data related to the nursing initiating main body from a nursing archive database according to the initiating main body identification information.
The nursing archive database comprises nursing archive data corresponding to different nursing sponsors in different nursing periods, and nursing sponsor data related to the current nursing sponsor can be extracted from the nursing archive database according to the sponsor identification information.
And S340, extracting nursing execution data related to the nursing execution body from the nursing data to be archived according to the identification information of the execution body.
The nursing data to be archived comprise the non-verified nursing execution data corresponding to different nursing execution subjects in different nursing periods, and the nursing execution data related to the current nursing execution subject can be extracted from the nursing data to be archived according to the identification information of the execution subject.
For different subjects, the data formed by the input may have differences in terms of data format, word specifications, etc., so the care initiation data and the care execution data obtained in step S120 need to be structured to be accurately checked.
Fig. 4 schematically illustrates a flow chart of steps for structuring care initiation data in some embodiments of the invention. As shown in fig. 4, on the basis of the above embodiments, step s130 of structuring care initiation data to obtain an initiation data relationship table including an initiation event data table and an initiation operation data table may include the steps of:
And S410, extracting nursing initiating texts in the nursing initiating data, and performing word segmentation processing on the nursing initiating texts to obtain a plurality of initiating text fields and field labels corresponding to the initiating text fields.
The word segmentation is to segment a continuous nursing initiating text according to a certain specification to form a field sequence consisting of a plurality of initiating text fields, and each initiating text field obtained after word segmentation corresponds to a field label related to field semantics. This step may input the care initiation text into a pre-trained word segmentation model to obtain word segmentation results, e.g., an N-gram model, a hidden markov model (Hidden Markov Model, HMM), a maximum entropy Model (ME), a conditional random field model (Conditional Random Fields, CRF), etc., may be used.
S420, querying a standardized dictionary table to obtain a standardized initiating field corresponding to the initiating text field, and classifying the standardized initiating field into an initiating event field and an initiating operation field according to the field label.
For different nursing initiating subjects, a certain difference exists in description of the same event or operation, and the initiating text field can be subjected to standardization processing by utilizing a pre-configured standardization dictionary table to obtain a corresponding standardized initiating field. Meanwhile, the standardized initiation field may be divided into two types of initiation event field and initiation operation field according to different field tags.
Step S430, filling the initiating event field into the event data table template according to the field label to obtain an initiating event data table, and filling the initiating operation field into the operation data table template according to the field label to obtain an initiating operation data table.
For the initiate event field and initiate operation field, two different data table templates are provided in the embodiments of the present invention, namely an event data table template and an operation data table template. And after the corresponding data table templates are filled with data, an initiating event data table and an initiating operation data table can be obtained.
S440, integrating the initiating event data table and the initiating operation data table to form an initiating data relation table.
For the same nursing object and the same nursing initiating main body, certain data coincidence degree exists in the initiating event data table and the initiating operation data table, for example, the two data tables contain the same content such as identification information, nursing time information and the like of the nursing object and the nursing initiating main body. The initiating event data table and the initiating operation data table can be integrated to form an initiating data relation table.
Similar to the structured process of care initiation data, fig. 5 schematically illustrates a flowchart of steps for structuring care execution data in some embodiments of the present invention. As shown in fig. 5, on the basis of the above embodiments, step s140 of performing structural processing on the care execution data to obtain an execution data processing result including execution event data and execution operation data may include the steps of:
And S510, extracting nursing execution text in the nursing execution data, and performing word segmentation processing on the nursing execution text to obtain a plurality of execution text fields and field tags corresponding to the execution text fields.
Step S520, querying the standardized dictionary table to obtain standardized execution fields corresponding to the execution text fields, and classifying the standardized execution fields into execution event fields and execution operation fields according to the field labels.
And S530, integrating the execution event field and the execution operation field according to the field label to form an execution data processing result comprising the execution event data and the execution operation data.
The method steps of structuring care execution data have certain similarities or similarities to the process of structuring care initiation data, and are therefore not described in detail herein.
The data processing result obtained after the structuring processing and the initiated data relation table are structured and standardized data, and consistency verification can be carried out on the structured and standardized data. FIG. 6 schematically illustrates a flowchart of the steps for performing a consistency check in some embodiments of the invention. As shown in fig. 6, based on the above embodiments, step s150 of performing consistency check on the execution data processing result and the initiation data relationship table may include the following steps:
Step S610, acquiring execution event data and execution operation data from the execution data processing result, and acquiring an initiation event data table and an initiation operation data table from the initiation data relation table.
And S620, carrying out consistency check on the execution event data and the initiation event relation table.
And S630, carrying out consistency check on the execution operation data and the execution event relation table.
In the embodiment of the invention, the execution event data and the execution operation data are separated from the execution data processing result according to two different data types of the event data and the operation data, meanwhile, the initiation event data table and the initiation operation data table can be separated from the initiation data relation table, and then the consistency check is carried out on the event data and the operation data respectively. The classification verification mode can improve the verification efficiency of the data and avoid the problem of data confusion.
FIG. 7 schematically illustrates a flowchart of the steps for consistency checking event class data in some embodiments of the invention. As shown in fig. 7, based on the above embodiments, step s620 of performing consistency check on the execution event data and the initiation event relationship table may include the following steps:
Step S710, determining a field tag list comprising a plurality of field tags according to the execution event data and the initiation event relation table.
A plurality of field labels can be extracted from the execution event data and the initiation event relation table, and a field label list can be obtained after combining the field labels and eliminating repeated parts.
Step S720, traversing the field tags in the field tag list to determine an execution event field and an initiation event field corresponding to each field tag.
By traversing the individual field tags in the field tag list, the execution event field and the initiation event field corresponding to each field tag may be determined in the execution event data and initiation event relationship table, respectively.
Step S730, inputting the execution event field and the initiation event field corresponding to the same field label into a pre-trained semantic recognition model.
The execution event field and the initiation event field corresponding to the same field label are two fields needing consistency verification, and the step can utilize a pre-trained semantic recognition model to carry out semantic recognition on the two fields.
And S740, judging whether the semantic information of the execution event field and the initiation event field are consistent or not according to the output result of the semantic recognition model.
The semantic recognition model respectively carries out semantic analysis on the execution event field and the initiation event field to obtain respective semantic information of the two fields, and if the semantic information is consistent, the verification results of the two fields can be judged to be consistent; and if the semantic information is inconsistent, the verification results of the two fields can be determined to be inconsistent.
Details of the medical care information verification method in the above embodiments of the present invention are described in detail below in connection with a specific application scenario.
Because doctors lack effective communication with nurses when writing course records, the condition that nursing records are inconsistent with doctor orders and course records, which leads to the fact that nursing records are manually checked by managers, time and labor are wasted, the pain points are not really solved in China at present, and the inconsistent or wrong information of the input information can be effectively reduced through the technical scheme provided by the invention, so that the quality and efficiency of the input of caregivers are improved, and the occurrence of medical disputes is reduced.
Fig. 8 schematically illustrates a schematic diagram of the medical information verification method of the present invention in an application scenario.
(1) According to different roles, classifying the input information: the information input by the doctor role comprises doctor orders, electronic medical records, disease course records and the like; the other type is information input by a nurse character, and the information comprises nursing records, nursing documents, measurement sheets and the like.
(2) Two relationship tables are designed: an event table and an operation table. The fields of the event table are: 1. patient ID,2, time point, 3, event, 4, information content, 5, information source. The fields of the operation table are: 1. patient ID,2, start time, 3, end time, 4, operation, 5, content, 6, quantity, 7, unit, 8, information content, 9, information source.
(3) The information input by doctors is structured through word separators, dictionary tables and machine learning algorithms, and the structured result comprises two categories, namely event categories, such as Zhang three, a certain time of a certain month of a certain year, a certain time of a certain day, and treatment of hospitalization, and an operation category, such as Lifour, a certain month of a certain year, and the need of taking medicine twice a day. The result of the structuring process is saved to the relationship table designed above. Considering that different doctors or nurses have some differences in description of the same event and operation, we also need to do a normalization process of a term, for example, events such as "death", etc. are normalized to "event01", and similarly "event02", "operation 01", "operation 02", etc. In the relation table, "information content" stores original content input by a doctor, "information source" stores information input by the doctor in which medical advice, electronic medical record or course record.
(4) After the nurse inputs information, triggering a verification mechanism in the background when clicking for storage; the checking flow is as follows: the information input by the nurses is subjected to the same structuring treatment, and the treatment result also comprises two types, namely an event type and an operation type. The result of the processing is free of "sources of information" because it is only temporarily stored in the computer memory. Then, the processing result is required to be compared with the processing result of the same patient in the relationship table of the doctor, if the processing result is inconsistent, the background returns a corresponding error information prompt according to the information content stored in the relationship table, and the contradictory words or fields are highlighted and the storage fails.
(5) The occurrence of the discrepancy includes: 1. a time discrepancy, such as 20190802 for the doctor to record the patient, 20190803 for the nurse; 2. operational inconsistencies, such as the nurse recording "injection", but no "injection" in the order; 3. content disagreement, such as a nurse recording an injection "penicillin", but no "penicillin" is in the order, 4, quantity disagreement, such as total number of medications taken by the patient on a day and order disagreement. The method comprises the steps of carrying out a first treatment on the surface of the 5. A unit disagreement, such as mg written in the order and ml entered by the nurse; 6. results conflict, for example, a nurse records an operation before a patient is hospitalized or after discharge.
(6) The word segmentation device, the dictionary table and the machine learning algorithm are trained on the data input by doctors and nurses in specific hospitals until the structural processing result is optimal, and all key information in the input data can be extracted.
For example, after a doctor newly makes an order for a nursing object 8:00 a day of 7 months and 20 is 'fasted' stored in an order database, a nurse opens a document record input interface to input data after clicking and executing the order in a login system of the same day: the physical condition of the 'today' old people is good, 100ml 'of drinking water is taken at 14:00, meanwhile, the data are segmented by the background, one segmentation result is 100ml of' the present 'old people' physical condition 'good' 14:00 'drinking water', and through analysis, the 'drinking water' and the 'fasted' are contradicted in operation, and when the data are stored, verification is carried out, and prompt is given.
The following describes an embodiment of the apparatus of the present invention that may be used to perform the above-described medical information verification method of the present invention.
Fig. 9 schematically illustrates a block diagram of a medical information verification device in some embodiments of the invention, as shown in fig. 9, a medical information verification device 900 may include:
A subject determination module 910 configured to determine a care-initiating subject and a care-executing subject having an association with a care object;
a data acquisition module 920 configured to acquire care initiation data related to a care object and a care initiation subject, and acquire care execution data related to a care object and a care execution subject;
a first structuring processing module 930 configured to structuring the care initiation data to obtain an initiation data relationship table comprising an initiation event data table and an initiation operation data table;
a second structuring processing module 940 configured to perform structuring processing on the care execution data to obtain an execution data processing result including execution event data and execution operation data;
the consistency check module 950 is configured to perform consistency check on the execution data processing result and the originating data relationship table.
In some embodiments of the present invention, based on the above embodiments, the body determining module 910 may include:
an information acquisition sub-module configured to acquire object identification information of a care object, and determine subject allocation information related to the care object according to the object identification information;
And the main body determining sub-module is configured to determine a nursing initiating main body and a nursing executing main body which have association relation with the nursing object according to the main body allocation information.
In some embodiments of the present invention, based on the above embodiments, the data acquisition module 920 may include:
an identification information acquisition sub-module configured to acquire object identification information of the care object, initiating subject identification information of the care initiating subject, and execution subject identification information of the care executing subject;
a care data acquisition sub-module configured to determine a care archive database and care data to be archived in relation to the care subject from the subject identification information;
a first data extraction sub-module configured to extract care initiation data related to the care initiation subject from the care archive database according to the initiation subject identification information;
and the second data extraction sub-module is configured to extract nursing execution data related to the nursing execution body from the nursing data to be archived according to the execution body identification information.
In some embodiments of the present invention, based on the above embodiments, the first structural processing module 930 may include:
The first word segmentation sub-module is configured to extract nursing initiating text in the nursing initiating data and segment the nursing initiating text to obtain a plurality of initiating text fields and field labels corresponding to the initiating text fields;
a first query word module configured to query a standardized dictionary table for standardized launch fields corresponding to the launch text fields, and to classify the standardized launch fields into launch event fields and launch operation fields according to the field tags;
the data filling sub-module is configured to fill the initiating event field into an event data table template according to the field label to obtain an initiating event data table, and fill the initiating operation field into an operation data table template according to the field label to obtain an initiating operation data table;
a first integration sub-module configured to integrate the initiating event data table and the initiating operation data table to form an initiating data relationship table.
In some embodiments of the present invention, based on the above embodiments, the second structural processing module 940 may include:
the second word segmentation sub-module is configured to extract nursing execution text in the nursing execution data and segment the nursing execution text to obtain a plurality of execution text fields and field tags corresponding to the execution text fields;
A second query sub-module configured to query a standardized dictionary table for standardized execution fields corresponding to the execution text fields and to classify the standardized execution fields into execution event fields and execution operation fields according to the field tags;
and a second integration sub-module configured to integrate the execution event field and the execution operation field according to the field tag to form an execution data processing result including execution event data and execution operation data.
In some embodiments of the present invention, based on the above embodiments, the consistency verification module 950 may include:
the data acquisition sub-module is configured to acquire execution event data and execution operation data from the execution data processing result, and acquire an initiation event data table and an initiation operation data table from the initiation data relation table;
a first verification sub-module configured to perform a consistency verification on the execution event data and the initiation event relationship table;
a second check sub-module configured to perform a consistency check on the execution operation data and the execution event relationship table.
In some embodiments of the present invention, based on the above embodiments, the first verification sub-module may include:
A list determination unit configured to determine a field tag list including a plurality of field tags from the execution event data and the initiation event relationship table;
a tag traversing unit configured to traverse field tags in the field tag list to determine an execution event field and an initiation event field corresponding to each of the field tags;
a semantic recognition unit configured to input an execution event field and an initiation event field corresponding to the same field tag into a pre-trained semantic recognition model;
and the consistency judging unit is configured to judge whether the semantic information of the execution event field and the initiating event field are consistent according to the output result of the semantic recognition model.
Since each functional module of the medical information verification device according to the exemplary embodiment of the present invention corresponds to a step of the exemplary embodiment of the medical information verification method, for details not disclosed in the embodiment of the device according to the present invention, please refer to the embodiment of the medical information verification method according to the present invention.
Referring now to FIG. 10, there is illustrated a schematic diagram of a computer system 1000 suitable for use in implementing an electronic device of an embodiment of the present invention. The computer system 1000 of the electronic device shown in fig. 10 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 10, the computer system 1000 includes a Central Processing Unit (CPU) 1001, which can execute various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage section 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data required for system operation are also stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
The following components are connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output portion 1007 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage portion 1008 including a hard disk or the like; and a communication section 1009 including a network interface card such as a LAN card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The drive 1010 is also connected to the I/O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is installed as needed in the drive 1010, so that a computer program read out therefrom is installed as needed in the storage section 1008.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 1009, and/or installed from the removable medium 1011. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 1001.
The computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the healthcare information verification method as described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (9)
1. A method for verifying medical care information, the method comprising:
determining a nursing initiating main body and a nursing executing main body which have association relation with a nursing object;
acquiring care initiation data related to the care object and the care initiation subject, and acquiring care execution data related to the care object and the care execution subject; the nursing initiating data comprise medical orders, electronic medical records and course records which are filled or recorded by the nursing initiating main body aiming at the nursing object;
Extracting a nursing initiating text in the nursing initiating data, and performing word segmentation processing on the nursing initiating text to obtain a plurality of initiating text fields and field labels corresponding to the initiating text fields;
querying a standardized dictionary table to obtain a standardized initiating field corresponding to the initiating text field, and classifying the standardized initiating field into an initiating event field and an initiating operation field according to the field label;
filling the initiating event field into an event data table template according to the field label to obtain an initiating event data table, and filling the initiating operation field into an operation data table template according to the field label to obtain an initiating operation data table;
integrating the initiating event data table and the initiating operation data table to form an initiating data relationship table;
carrying out structural processing on the nursing execution data to obtain an execution data processing result comprising execution event data and execution operation data;
and carrying out consistency check on the execution data processing result and the initiation data relation table.
2. The medical care information verification method according to claim 1, wherein the determining a care initiation subject and a care execution subject having an association relationship with a care object includes:
Acquiring object identification information of a nursing object, and determining main body distribution information related to the nursing object according to the object identification information;
and determining a nursing initiating main body and a nursing executing main body which have association relation with the nursing object according to the main body allocation information.
3. The medical care information verification method according to claim 1, wherein the acquiring the care initiation data related to the care target and the care initiation subject and acquiring the care execution data related to the care target and the care execution subject includes:
acquiring object identification information of the nursing object, initiating main body identification information of the nursing initiating main body and executing main body identification information of the nursing executing main body;
determining a nursing archive database and nursing data to be archived which are related to the nursing object according to the object identification information;
extracting nursing initiating data related to the nursing initiating main body from the nursing archive database according to the initiating main body identification information;
and extracting nursing execution data related to the nursing execution body from the nursing data to be archived according to the execution body identification information.
4. The medical care information verification method according to claim 1, wherein the structuring the care execution data to obtain an execution data processing result including execution event data and execution operation data includes:
extracting nursing execution text in the nursing execution data, and performing word segmentation processing on the nursing execution text to obtain a plurality of execution text fields and field tags corresponding to the execution text fields;
querying a standardized dictionary table to obtain a standardized execution field corresponding to the execution text field, and classifying the standardized execution field into an execution event field and an execution operation field according to the field tag;
and integrating the execution event field and the execution operation field according to the field label to form an execution data processing result comprising the execution event data and the execution operation data.
5. The medical care information verification method according to claim 1, wherein said performing a consistency verification on the execution data processing result and the initiation data relationship table includes:
acquiring execution event data and execution operation data from the execution data processing result, and acquiring an initiation event data table and an initiation operation data table from the initiation data relation table;
Performing consistency check on the execution event data and the initiation event relation table;
and carrying out consistency check on the execution operation data and the execution event relation table.
6. The method of claim 5, wherein said performing a consistency check on said execution event data and said originating event relationship table comprises:
determining a field tag list comprising a plurality of field tags according to the execution event data and the initiation event relationship table;
traversing field tags in the field tag list to determine an execution event field and an initiation event field corresponding to each of the field tags;
inputting an execution event field and an initiation event field corresponding to the same field tag into a pre-trained semantic recognition model;
and judging whether the semantic information of the execution event field and the semantic information of the initiation event field are consistent according to the output result of the semantic recognition model.
7. A medical information verification device, the device comprising:
a subject determination module configured to determine a care initiation subject and a care execution subject having an association with a care object;
A data acquisition module configured to acquire care initiation data related to the care object and the care initiation subject, and acquire care execution data related to the care object and the care execution subject; the nursing initiating data comprise medical orders, electronic medical records and course records which are filled or recorded by the nursing initiating main body aiming at the nursing object;
a first structured processing module comprising: the first word segmentation sub-module is configured to extract nursing initiating text in the nursing initiating data and segment the nursing initiating text to obtain a plurality of initiating text fields and field labels corresponding to the initiating text fields;
a first query word module configured to query a standardized dictionary table for standardized launch fields corresponding to the launch text fields, and to classify the standardized launch fields into launch event fields and launch operation fields according to the field tags;
the data filling sub-module is configured to fill the initiating event field into an event data table template according to the field label to obtain an initiating event data table, and fill the initiating operation field into an operation data table template according to the field label to obtain an initiating operation data table;
A first integration sub-module configured to integrate the initiating event data table and the initiating operation data table to form an initiating data relationship table;
a second structuring processing module configured to perform structuring processing on the care execution data to obtain an execution data processing result including execution event data and execution operation data;
and the consistency check module is configured to carry out consistency check on the execution data processing result and the initiation data relation table.
8. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements a medical information verification method according to any one of claims 1 to 6.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the healthcare information verification method of any one of claims 1 to 6.
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