TWI521467B - Nursing decision support system - Google Patents

Description

Nursing decision aid system

The invention relates to a nursing decision support system; in particular to a nursing decision aid system for nursing work, which utilizes a weighting factor calculation and a nursing diagnosis and prediction unit, according to the weight of each recalculation factor, thus making the nursing diagnosis each time It is recommended to sort the updates that produce the best ideal value, and to achieve the effect of the wisdom of evolution and progress.

The rapid development of science and technology has effectively improved the living standards of human beings, and a healthy life is more important to the value of human life. Therefore, the importance of effective inheritance of patient care quality is relatively enhanced, and nursing decision-making is affecting the quality of patient care. One of the main factors is that it takes at least two years to develop an effective and appropriate clinical decision.

In addition to the fact that the decision-making appropriateness of traditional nursing staff is reflected in the cases of direct care, the complete record of the care is in the nursing record.

However, it is normal for domestic nursing staff to use colloquialism and informal vocabulary to make shifts and records, which makes the content of nursing work difficult to be understood and seen by other medical team members, and also reduces the integrity of nursing records, and the professional use of nursing records. In addition to the 200 nursing diagnoses developed by the North American Nursing Diagnosis Association (NANDA), the common language does not have a consensus vocabulary standard. Most of them are self-developed by the hospitals. Promoted the "Electronic Medical Record" project since 2009, the goal Positioning in portable personal health electronic records has brought new challenges to the field of nursing. In addition to the need to gradually convert handwritten records into electronic records, the recording method needs to be standardized through common standardized nursing languages. Information exchange patterns for affected, cross-disciplinary and cross-district areas.

Therefore, how to solve the problem that handwritten records must be gradually converted into electronic records to achieve a common standardized nursing language is a problem to be solved.

In view of the shortcomings caused by the above-mentioned prior art, the main purpose of the nursing decision-making assistance system of the present invention is to solve the vocabulary inconsistency situation, so that the nursing work content can be easily understood and seen by other medical team members, and the integrity of the nursing record is improved. .

Another object of the care decision support system of the present invention is that in the current medical environment, the patient's condition develops rapidly and unpredictable symptoms, and the nursing staff's manpower is continuously lost, and the nursing staff can be improved by establishing nursing decision support. Performing care decisions, job satisfaction, and integrity of care records provides the goal of making caregivers easy to make correct care decisions.

A further object of the nursing decision-making assistance system of the present invention is that the information of the correctness of the review result can be returned, so that the recommended ranking of the nursing diagnosis each time produces the update of the best ideal value, and the effect of the wisdom evolution progress is achieved.

To achieve the above and other objects, the present invention is a nursing decision aid system suitable for use in nursing work.

In the present invention, a nursing decision aid system is particularly applicable to a nursing decision aid system for nursing work.

The invention relates to a nursing decision aid system, which comprises a server, the server is connected to the input unit and at least one set of output displays; an input unit, the input unit can input data to the server; at least one group The display display, the at least one set of output displays presents a system screen for the caregiver to instantly select and store functions when the bedside care is performed, providing user decision suggestions.

The server can be a notebook, a desktop computer, a mobile phone, a tablet computer, and the like.

The servo device is a nursing diagnosis and nursing problem knowledge base unit.

The Nursing Diagnostic Nursing Problem Knowledge Base unit collects 200 nursing diagnoses developed by the North American Nursing Diagnosis Association (NANDA) every two years, and discusses it with the Hospital Nursing Problem Building Group. The open questionnaire collects the names of commonly used questions in the nursing staff's writing care records, and formulates the standard nursing question names according to the relevant literature and with reference to the international Chinese nursing vocabulary standards. The data can be transmitted to the keyword word interception unit.

The servo device is a hospital health system database unit.

The hospital health system database unit can collect and access information such as medical examination materials, inspection and inspection report data, and past hospital care related records. When the patient is admitted to the hospital, the nursing staff can be informed of all the information of the patient in the hospital. The message is intercepted by the keyword word interception unit.

The servo device is a nursing evaluation unit.

The nursing evaluation unit can collect the evaluation records of the first or daily care of the nursing staff admitted to the hospital and in the hospital. This data can comprehensively reflect the abnormal values of the physiological system of the patients, including the case. Subjective descriptions and observations by the caregiver can be communicated to the keyword interception unit.

The servo device is a keyword word intercepting unit.

The keyword word interception unit uses the Chinese word segmentation method to process the nursing diagnosis and nursing problem knowledge base unit, the hospital health system database unit, and the descriptive nursing record transmitted by the nursing evaluation unit, and The results after the word breakage are checked, and the medical related nouns are examined by expert judgment, and the meaningless words are deleted. The representative semantics are selected and incorporated into the thesaurus. For each word after the word break, according to the part of speech and semantics. Orchestration, using association analysis and decision tree classification algorithm to find out the important factors of identifying nursing diagnosis according to part of speech and word frequency, to adjust the most appropriate keyword to establish information, and to transmit information to weight factor calculation and nursing diagnosis Forecasting unit.

The servo device is a weighting factor calculation and a nursing diagnosis prediction unit.

The weighting factor calculation and nursing diagnosis prediction unit firstly uses the correlation analysis and the artificial intelligence algorithm to find the correlation between the keyword and the nursing diagnosis after receiving the message transmitted by the keyword word intercepting unit, that is, directly at the key The wording and identification feature words in the description data of the nursing diagnosis and nursing problem knowledge unit selected by the word interception unit are similar to the semantic meanings, and the data stored in the hospital health system database unit and the nursing evaluation unit are received. Keys intercepted by the keyword interception unit are listed and then all relevant care diagnoses are listed. The transfer-like neural network algorithm is used to calculate each relevant diagnosis based on factors such as expert and departmental characteristics. The probability ratio, then analyze the weight ratio of each factor, and list the output display system screens presented in the at least one group according to the possibility of high to low ratio, so that the nursing staff can instantly select and store the functions when they are at the bedside care. Provide user decision suggestions.

The input unit can be a keyboard, a mouse, a touch screen, or the like.

Therefore, the care decision support system of the present invention is mainly based on the The input unit inputs a descriptive nursing vocabulary, and then intercepts and deletes the keyword to intercept the most appropriate keyword set, and then uses the weighting factor calculus and the nursing diagnosis prediction unit to find the weight of each factor and utilize the decision tree. Sort into each system to do keyword capture, connect the synonym with English terminology, then create the keyword repository, and finally build the thesaurus system, then analyze the weight ratio of each factor, and according to the possibility of high to low ratio Listing the output display system screens presented in the at least one group for the caregiver to immediately select and perform the storage function when the bedside care is performed, providing user decision suggestions, and then correcting the results of the user's decision each time. The input unit is input to the weighting factor calculation and nursing diagnosis prediction unit, and the weight of the factor can be recalculated when the next prediction diagnosis is performed, so that the recommended ranking of the nursing diagnosis each time produces the best ideal value update, and achieves the wisdom evolution progress. The effect of the demand.

1‧‧‧Server

10‧‧‧Nursing diagnosis and nursing problem knowledge base unit

11‧‧‧ Hospital Health System Database Unit

12‧‧‧Nursing evaluation unit

13‧‧‧Keyword Intercepting Unit

14‧‧‧ Weighting factor calculation and nursing diagnosis prediction unit

2‧‧‧Input unit

3‧‧‧At least one set of output displays

The first figure is a logic circuit diagram in accordance with the present invention.

The second drawing is a perspective view of the appearance of an embodiment of the present invention.

The other embodiments of the present invention will be readily understood by those skilled in the art from this disclosure. The present invention may be embodied or applied in various other specific embodiments, and various modifications and changes may be made without departing from the spirit and scope of the invention.

First of all, please refer to the review committee as shown in the figure above. The nursing decision-making assistance system of the present invention includes: a server 1, which can be a notebook, a desktop computer, a mobile phone, a tablet computer, etc., is connected to the input unit 2 and at least one set of the output display 3; wherein the server 1 comprises: a nursing diagnosis and care The problem knowledge base unit 10 collects 200 nursing diagnoses developed by the North American Nursing Diagnosis Association (NANDA) every two years to update the mechanism, and discusses with the hospital nursing problem construction team, and adopts an open questionnaire. Collecting the names of common problems in the nursing care records of the unit nursing staff, and formulating the standard nursing problem names according to the relevant literature and referring to the international Chinese nursing vocabulary standards, the data can be transmitted to the keyword word intercepting unit 13; a hospital health system database unit 11, Collecting access such as medical consultation materials, inspection and inspection report data, past hospital care related records, and providing nursing staff with information about the patients in the hospital when they are admitted to the hospital, the data can be transmitted to the keyword word interception unit 13; A nursing evaluation unit 12 can collect and access the patient in the hospital and in the hospital for the first time or daily The evaluation record data, which can comprehensively reflect the abnormal values of the current physiological system of the patient, including the subjective description of the case and the data recorded by the nursing staff observation, and the data can be transmitted to the keyword word interception unit 13; a keyword word intercepting unit 13 performs word segmentation processing on the descriptive nursing records transmitted by the nursing diagnosis and nursing problem knowledge base unit 10, the hospital health system database unit 11, and the nursing evaluation unit 12 by the Chinese word breaking method. And check the results after the word break, through the expert manual judgment of the medical related nouns, delete the meaningless words, the representative semantics are selected and then included in the thesaurus, for each word after the word break, according to part of speech Semantic arrangement, using association analysis and decision tree classification algorithm to find out the word and word frequency can be used as identification An important factor in the diagnosis of care, to adjust the most appropriate keyword to establish information, and to communicate its information to the weighting factor calculation and nursing diagnosis prediction unit 14; a weighting factor calculation and nursing diagnosis prediction unit 14, in the receiving keyword word interception unit After the transmitted message is first, the correlation analysis and the artificial intelligence algorithm are first used to find the relationship between the keyword and the nursing diagnosis, that is, the nursing diagnosis nursing problem knowledge base unit directly selected by the keyword word intercepting unit 13 In the description data, the keyword and the identifier feature vocabulary are similarly semantically found, and the information stored by the hospital health system database unit 11 and the nursing evaluation unit 12 is subjected to the keyword intercepted by the received keyword word intercepting unit 13. After making a layer-by-layer comparison, all related nursing diagnoses are listed, and the transfer-like neural network algorithm is used to calculate the probability ratio of each relevant diagnosis based on factors such as expert and departmental characteristics, and then analyze the weight of each factor. Ratio, and according to the possibility of high to low ratio, the output display 3 system drawing presented in the at least one group The nursing staff can instantly select and use the storage function to provide the user with decision-making suggestions during the bedside care; the input unit 2 can input data into the server 1, and the input unit 2 can be a keyboard, a mouse, a touch screen At least one set of output displays 3, the at least one set of output displays 3 can present a system screen for the caregiver to instantly select and store functions when bedside care is provided, providing user decision suggestions.

Please refer to the review chart as shown in the second figure. The nursing decision-making assistance system of the present invention mainly uses the keyword word interception unit 13 to perform the interception and deletion arrangement to adjust the most appropriate keyword set, and then match the weights. The factor calculus and nursing diagnosis prediction unit 14 finds the weight of each factor, and then analyzes the weight ratio of each factor, and is highly likely The low ratio lists the output display system 3 screens presented in the at least one group for the caregiver to instantly select and store functions when the bedside care is provided, providing user decision suggestions, and solving the vocabulary inconsistency situation, so that the nursing work content Easy to be understood and seen by other health care team members, improve the integrity of the nursing record, and in the current medical environment, the patient's condition develops rapidly and unpredictable symptoms, and the caregiver's manpower is continuously lost, you can use the establishment of care Decision-making assists the nursing staff in performing nursing decisions, job satisfaction and the integrity of the nursing record, providing the purpose of making the nursing staff easy to make correct nursing decisions. Finally, the nursing diagnosis can be made each time by giving feedback to the correctness of the results of the review. It is recommended to sort the updates that produce the best ideal value, and to achieve the effect of the wisdom of evolution and progress.

In the present invention, a nursing decision-making assistance system inputs a descriptive nursing vocabulary before the input unit 2, and then intercepts and deletes the arrangement by the keyword word intercepting unit 13 to adjust the most appropriate keyword set, and then uses the weighting factor calculation. And the nursing diagnosis prediction unit 14 finds the weight of each factor, uses the decision tree to classify to each system for keyword capture, associates the synonym with the English term, and then creates the keyword repositive corpus, and finally builds the lexicon system. And then analyzing the weight ratio of each factor, and listing the output display system 3 presented in the at least one group according to the possibility of high to low ratio, for the nursing staff to immediately select and store the function when the bedside care, provide for use The decision-making suggestion, after the user's decision-making result is correct, is input to the weighting factor calculation and nursing diagnosis prediction unit 14 via the input unit, and the weight of the factor can be recalculated when the next prediction diagnosis is performed, thereby making the care Diagnosing each time the suggested ordering produces an update of the best ideal value, and achieves the effect of the wisdom evolution progress.

1‧‧‧Server

10‧‧‧Nursing diagnosis and nursing problem knowledge base unit

11‧‧‧ Hospital Health System Database Unit

12‧‧‧Nursing evaluation unit

13‧‧‧Keyword Intercepting Unit

14‧‧‧ Weighting factor calculation and nursing diagnosis prediction unit

2‧‧‧Input unit

3‧‧‧At least one set of output displays

Claims (4)

A care decision support system includes: a server communication message to an input unit and at least one set of output displays; wherein the server (1) comprises: a nursing diagnosis and nursing problem knowledge base unit to collect the North American Nursing Diagnostics Society ( The North American Nursing Diagnosis Association (NANDA) developed 200 nursing diagnoses every two years to update the mechanism, and discussed with the hospital care problem construction team. At the same time, the open questionnaire was used to collect the names of common problems written by the nursing staff in the nursing records. Related documents and reference to the international Chinese nursing vocabulary standards to develop standard nursing problem names, data can be transmitted to the keyword word interception unit; a hospital health system database unit, can be aggregated access such as medical examination materials, inspection and inspection report data, past hospitalization Nursing-related records, when the patient is admitted to the hospital, the nursing staff can be informed of all the information of the patient in the hospital, and the information can be transmitted to the keyword interception unit; a nursing evaluation unit can be used to collect the patient's admission and in-patient care. The record of the assessment of the personnel on the initial or daily basis, this information It can comprehensively reflect the abnormal values of the current physiological system of the patients, including the subjective description of the case and the data recorded by the nursing staff, which can be transmitted to the keyword word interception unit; a keyword word interception unit in Chinese The word-breaking method will treat the descriptive nursing records transmitted by the nursing diagnosis and nursing problem knowledge base unit, the hospital health system database unit, and the nursing evaluation unit, and check the results after the word breaking, through expert labor. Judging the examination of medical related nouns, deleting meaningless vocabulary, and selecting representative semantics to be included in the lexicon. For each vocabulary after utterance, it is arranged according to part of speech and semantics. Analysis and decision tree classification algorithm based on part of speech and word frequency can be used as an important factor to identify nursing diagnosis, to adjust the most appropriate keyword to establish information, and to transmit information to the weighting factor calculation and nursing diagnosis prediction unit; The factor calculus and nursing diagnosis prediction unit firstly uses the correlation analysis and the artificial intelligence algorithm to find the correlation between the keyword and the nursing diagnosis after receiving the message transmitted by the keyword word interception unit, that is, directly in the keyword word. The knowledge of the nursing diagnosis and nursing problem knowledge unit selected by the interception unit is similar to the semantics of the keyword and the identification feature vocabulary, and the data stored by the hospital health system database unit and the nursing evaluation unit are received keywords. The keywords intercepted by the word interception unit are listed and compared with all relevant nursing diagnoses. The transfer-like neural network algorithm technology is used to calculate the possibility of each relevant diagnosis by factors such as expert and departmental characteristics. Sex ratio, then analyze the weight ratio of each factor, and according to the possibility of high to low ratio Presenting on the at least one set of output display system screens for the nursing staff to instantly select and perform storage functions when providing bedside care, providing user decision suggestions; input unit (2), inputting data into the server; at least one The output display of the group, the at least one set of output displays can present a system picture for the caregiver to instantly select and store functions when bedside care, providing user decision suggestions. The care decision assisting system of claim 1, wherein the server can be a notebook, a desktop computer, a mobile phone, a tablet computer, or the like. The care decision assisting system of claim 1, wherein the input unit can be a keyboard, a mouse, a touch screen, or the like. For example, in the nursing decision-making assistance system described in Patent Application No. 1, wherein the user-recommended suggestion can be used to input the weighting factor calculation and nursing diagnosis prediction through the input unit after the user's decision-making result is correct. Unit, the weight of the factor can be recalculated when the next prediction is diagnosed, so that the recommended ranking of the nursing diagnosis each time produces the best ideal value update, and achieves the effect of the wisdom evolution progress.