CN110968234B - Intelligent nursing text generation system and intelligent nursing information platform using same - Google Patents
Intelligent nursing text generation system and intelligent nursing information platform using same Download PDFInfo
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Abstract
The invention provides an intelligent nursing text generation system, which comprises: a nursing record management module configured to provide a pull-down menu for a worker to input a plurality of nursing data belonging to a nursing object in a click or self-input manner, and generate a nursing record according to the nursing data, wherein the recorded nursing data and the nursing record are stored in a remote digital database; a vocabulary conversion module configured to convert the care data into corresponding common vocabularies through decision tree analysis, the converted common vocabularies being stored on the remote digital database.
Description
Technical Field
The invention relates to an intelligent nursing text generation system based on lexical analysis and an intelligent nursing information platform using the intelligent nursing text generation system based on the lexical analysis.
Background
In recent years, due to rapid progress of human technologies in the fields of software, hardware, electronics, communications, IoT networks, and mass data Processing, there is a need to integrate these technology fields, and the Artificial Intelligence (AI) field aiming at simulating, representing, and implementing human Intelligence in various Artificial ways is also a technology development, and is not yet paced, and among rapid commercialization, the Natural Language Processing (NLP) technology in the AI field is a very popular application.
The so-called Natural Language Processing (NLP) technique is a technique that attempts to allow a machine to understand characters written by humans and spoken words, and generally includes three elements, the first element being called "morpheme analysis" (morphological analysis) aimed at trying to decompose a part of speech, the second element being "syntactic analysis" (semantic analysis) trying to decompose a minimum unit of word sense, the last element being "semantic analysis" (semantic analysis) trying to understand the meaning of a character or a word, and the NLP technique ultimately intends to allow a machine to understand characters written by humans and spoken words.
Therefore, if the NLP technology is used as a bridge interface, it is possible for a machine to understand human words and cooperate with human beings, and the NLP technology also enables a machine to present human-like intelligence, so it is easy to understand why the NLP technology becomes a popular application in the AI field, and the NLP has a very wide practical application, from chat robots (ChatBot), virtual voice assistants (virtual voice assistants), to various Voice User Interfaces (VUIs), and so on, which belong to the specific application of NLPs.
However, although the AI field and the NLP technology are rapidly developing, they are still relatively emerging (observing) technology field, so there are many kinds of application possibilities in the application level, and more developers are waiting to be developed, for example: in the aspects of intelligent medical treatment, intelligent nursing and the like, a lot of spaces for the NLP technology to play are provided.
For example, in recent years, taiwan medical dispute cases are endlessly found, and according to statistical data of taiwan medical reform foundation, 400 to 500 medical dispute cases are found in each year, and after research, the main reasons for the occurrence of the cases are that medical staff are trained by long-term professional education, generally have long working time and are under stress for a long time, and need to face various patients for a long time, so that the communication emphasis is placed on efficiency, and a large number of medical professional terms which are unknown to patients and family members are often used without self-awareness.
However, under such a situation, it seems that the AI and NLP technologies can be used as an intelligent medical communication interface between professional medical care personnel and common patient family members, and the medical information, vital signs and medical professional terms of the cold ice are converted into a warm, safe and caring interactive mode by combining the related caring thesaurus/thesaurus and related semantemes, so that each patient family member can fully understand and master the current physiological status of the patient, feel peace and reassurance and feel respected no matter whether the patient is trained by professional medical care.
Moreover, if the NLP technology can be combined with fuzzy decision tree (fuzzy decision tree) analysis and other technologies, the context awareness and condition judgment can be performed according to the sensed and recorded physiological information, a set of intelligent notification system and the like can be further built, and after all the intelligent components are integrated together, an intelligent nursing information platform can be developed, so that the burden of professional nursing staff is effectively reduced, and the application level of the AL technology is expanded to the fields of medical treatment, nursing, care and the like.
For this reason, in view of the shortcomings of the conventional technologies, through careful experiments and studies, and with the spirit of the present invention without limitation, the applicant finally conceived the "intelligent nursing text generation system and the intelligent nursing information platform using the same", which can overcome the above shortcomings, and the following is a brief description of the present invention.
Disclosure of Invention
The invention utilizes artificial intelligence (artificial insight) technology and combines a related care thesaurus/word stock and related semantemes to convert medical information, vital signs and medical professional terms of cold ice into an interactive mode such as warm, safe and concerned states among families.
The invention provides an intelligent nursing text generation system, which comprises: a back-end server containing a digital database; a care-side device connected to the back-end server via the internet and executing a care-side application, the care-side application comprising: a nursing record management module configured to provide a pull-down menu for a worker to input a plurality of nursing data belonging to a nursing object in a click or self-input manner, and generate a nursing record according to the nursing data, wherein the recorded nursing data and the nursing record are stored in the digital database; a vocabulary conversion module configured to convert the care data into a plurality of corresponding common vocabularies through decision tree analysis, the converted common vocabularies being stored on the digital database; and a window presentation module configured to present the care record to the worker; and the client device is connected with the back-end server through the Internet, executes a client application program to access the ordinary vocabularies, and displays the health report based on the ordinary vocabularies to an ordinary user after the user programs the ordinary vocabularies.
The invention further provides an intelligent nursing information platform, which comprises: a back-end server containing a digital database; a care-side device connected to the back-end server via the internet and executing a care-side application, the care-side application comprising: a nursing record management module configured to provide a pull-down menu for a worker to input a plurality of nursing data belonging to a nursing object in a click or self-input manner, and generate a nursing record according to the nursing data, wherein the recorded nursing data and the nursing record are stored in the digital database; a vocabulary conversion module configured to convert the care data into a plurality of corresponding common vocabularies through decision tree analysis, the converted common vocabularies being stored on the digital database; and a window presentation module configured to present the care record to the worker; and the client device is connected with the back-end server through the Internet, executes a client application program to access the ordinary vocabularies, and displays the health report based on the ordinary vocabularies to an ordinary user after the user programs the ordinary vocabularies.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a smart care text generation system according to a first embodiment of the present invention;
FIG. 2 is a schematic view of a prior art care note;
FIG. 3 is a schematic view of a broad category of care focus table of the present invention;
FIG. 4 is a schematic diagram of a care records management module used by the institution end of the present invention.
FIG. 5 is a diagram illustrating a nursing note text generated by a nursing note management module utilized by the institution end of the present invention;
FIG. 6 is a schematic diagram of a nursing record text generation process according to the present invention;
FIG. 7 is a schematic diagram of the future actual focus assessment function provided by the nursing records management module according to the present invention;
FIG. 8 is a schematic diagram of a second simple decision tree of the present invention;
FIG. 9 is a schematic view of a discourse type record interface provided by the nursing records management module according to the present invention;
FIG. 10 is a schematic view of a health instrument panel of the present invention;
FIG. 11 is a schematic diagram of the mechanism for generating a health analysis report of the present invention;
FIG. 12 is a schematic of a health analysis generated by the system of the present invention:
FIG. 13 is a system architecture diagram of an intelligent care information platform according to a second embodiment of the present invention;
FIG. 14 is a schematic diagram of a smart care information platform of the present invention;
FIGS. 15 and 16 are schematic diagrams of a care schedule/periodic review reminder module according to the present invention;
FIGS. 17 and 18 are schematic views of a vital sign remote monitoring module according to the present invention;
FIG. 19 is a schematic diagram of a three-shift vital sign reporting and emergency push module according to the present invention;
FIGS. 20 and 21 are schematic views of an intelligent nursing record management module according to the present invention;
FIGS. 22 and 23 are schematic views of a health instrument panel module of the present invention; and
FIGS. 24 and 25 are schematic diagrams of the health care module of the present invention.
Description of reference numerals:
100: an intelligent nursing text generation system;
110: a back-end server;
120: a mechanism end device;
121: an organization end application program;
130: a family-side device;
131: a home-side application;
140: the internet;
CE: a protecting end;
FE: and (4) carrying out family.
Detailed Description
While the present invention will be fully understood from the following examples, which are given by way of illustration and are not intended to limit the scope of the invention; the drawings of the present invention do not contain limitations on size, dimension, and scale, and the size, dimension, and scale are not limited by the drawings of the present invention in practical implementation of the present invention.
The term "preferably" is used herein in a non-exclusive sense, and it is to be understood that open language, without limitation, that "preferably but not exclusively" means without excluding other features or steps; any steps described or recited in any specification or claim may be performed in any order and are not limited to the order described in the claim; the scope of the present invention should be determined only by the appended claims and equivalents thereof, and should not be determined by the examples of the embodiment examples; the word "comprise" and variations such as "comprises" or "comprising", when used in this specification and claims, is an open-ended word, that does not imply a limitation on the scope of the word, nor does it exclude other features or steps.
FIG. 1 is a schematic diagram of a system architecture of a smart care text generation system according to a first embodiment of the present invention; as shown in fig. 1, the intelligent nursing text generating system 100 of the present invention comprises: a back-end server 110, a mechanism-end device (nursing-end device) 120, a family-end device (user-end device) 130, etc., which are connected to each other via a wired or wireless internet 140 and can exchange data with each other, and the back-end server 110 includes a digital database for storing digital data from the mechanism-end device and the family-end device.
The mechanism side device 120 is installed with and executes a mechanism side application (nursing side application) 121, and the mechanism side application 121 further includes the following main modules: the system comprises a nursing record management module, a vocabulary conversion module, a window display module, and the like, and in addition to the above modules, the system further comprises a nursing platform homepage module, a nursing schedule/periodic evaluation reminding module, a vital sign remote monitoring module, a vital sign three-shift reporting and abnormal emergency broadcasting module, an intelligent nursing record management module, a health instrument panel module, and other secondary modules, and a family end application program (user end application program) 131 is installed and executed on the user end device 130.
The mechanism side application 121 of the present invention is preferably specifically presented in a website, a webpage, computer software, or App manner, and may also provide services to the user in a software as a service (SaaS) manner or a platform as a service (PaaS) manner; the client application 131 is preferably a chat robot (ChatBot) built on Instant Messaging (IM), where Instant Messaging (IM) is a chat robot that allows two or more people to transmit information formed by text, image, voice, video, information, file, or a combination thereof in real time to perform two-sided or multi-sided instant messaging (real time) communication, and IM is typically presented in a website, web page, computer software, or App manner, and provides services to users in a software as a service (SaaS) manner or a platform as a service (PaaS) manner.
According to the definition of the international open system interconnection communication reference model (OSI/RM) architecture, the mechanism side application 121 and the housekeeping side application 131 belong to software application services on the 7 th layer (application layer) of the OSI/RM architecture, the software application services on the 7 th layer can freely select various communication protocols in the 4 th layer transport layer, form data packets on the 3 rd layer transport layer and determine a transport path, and establish a required bidirectional connection with each device, equipment and component on the 1 st layer physical layer, including the backend server 110, the mechanism side device 120, the housekeeping side device 130, and the like, after a Logical Link Control (LLC) and a Media Access Control (MAC) are added through the 2 nd layer data link layer.
FIG. 2 is a schematic view of a prior art care note; most of the vocabulary and phrases of the existing hospital care system are based on professional medical vocabulary system in medical field, and there are few vocabularies and phrases that are selected according to the situation of long-term care, or the vocabulary is converted into the vocabulary that can be understood by ordinary people who have not received medical and medical related training, such as the traditional nursing note sheet shown in fig. 2, and it can be found that the records, vocabularies and phrases, etc. on the fields of care content (Data Action Response vocabulary, DART) mostly adopt professional medical vocabulary, and many english professional terms are included therein, so the records in the fields of care content are not easily understood by ordinary people who have not received medical and medical related training.
FIG. 3 is a schematic view of a broad category of care focus table of the present invention; therefore, the present invention refers to the international nursing record thesaurus such as north american society for nursing and diagnosis (NANDA), Clinical Care Classification (CCC), etc., and combines the nursing records recorded in various large teaching hospitals in China to construct a series of nursing institutions in accordance with standardization and Clinical practice, for example: long-term care facilities, medical facilities, nursing facilities, etc., the types and words of records required for daily use include, for example: the hospital care focus general system comprises 15 nursing focus general types (focus groups) such as discharge and admission transaction (code IO), vital signs (code VT), internal secretion (code EN), digestion (code DG), urinary (code UR), skin (code SK), eyes (code EY), muscle nerves (code MS), endings (code PN), psychology (code PS), sleep (code SL), pipelines (code TU), consciousness (code PN), latent infection (code PI) and other (code OT), wherein each focus general type also comprises 89 actual focuses (focuses) in total, and recording options and vocabularies required by the actual focuses are planned according to the actual focuses respectively.
FIG. 4 is a schematic diagram of a care records management module used by the institution end of the present invention; in practical implementation, as shown in fig. 3, the system provides a nursing record management module with a pull-down menu as a main component for the user to click, after the user enters the nursing record management module, the user only needs to select a specific actual focus option first by means of clicking, and after the selection, the system can automatically establish a D (observation) -a (disposition) -R (reaction) -T (education) template of the focused nursing record content by the staff only needs to click a plurality of options quickly, so that the editing and the repair are easier.
For example, this actual focus is changed for, or for, the color of urination, whose observation (D) is, for example: urine is cloudy, treatment (a) is for example: urine culture, reaction (R) is for example: urine sediment is abundant, and health professor (T) is for example: the education can be completed by taking the options of water intake and the like in sequence into the corresponding fields, the nursing record management module can automatically provide proper preset vocabularies for the user to select from the nursing record lexicon in the detail options of each focus, and the nursing record management module can also automatically input default vocabularies if the staff feel that the default vocabularies provided by the system are not very suitable.
FIG. 5 is a diagram illustrating a nursing note text generated by a nursing note management module utilized by the institution end of the present invention; as shown in fig. 5, the system will automatically record the time point when the recording is completed, and the user clicks the storage key, and the system can automatically generate a nursing record text (DART nursing note), and the user can refer to the historical records of the same focus in the past, so as to compare the current status with the treatment result, or directly view the currently used medicine in the nursing record without switching the interface again, and avoid repeatedly copying and applying the same information.
In the process of generating the nursing record text, the invention can cover the establishment of common disease categories of the elderly and combine historical data (physiological measurement data, evaluation tables and past nursing records), so the system can automatically judge the actual focus required by the user at present for recording and automatically set as a default option for the user to refer and use.
The system of the invention also comprises a vocabulary conversion module, aiming at the nursing record word stock used in the generation process of the nursing record text, in addition to referring to the international nursing record word stock of North American nursing diagnostic society (NANDA) international Classification, Clinical Care Classification standards (CCC) and the like, combining the nursing records included in each large teaching hospital in China, considering the standardization and the Clinical practical angle, further modifying and converting various DART vocabularies related to medical information, vital signs, medical professional terms and cold ice into common people under the condition of not deviating from the meaning of correct professional meaning, particularly the DART vocabularies which are not trained by professional medical treatment and can not be completely understood by technicians (ordiary users) in the field, and the presentation of sentences is designed to be an interactive mode with warm, safe and attentive between people, can enable every family member of the patient to immediately master the current physiological and psychological states of the patient no matter whether the family member is trained by professional medical treatment or not, thereby being comfortable and relieved.
FIG. 6 is a schematic diagram of a nursing record text generation process according to the present invention; therefore, the vocabulary conversion module of the system of the present invention further relates to a fuzzy decision tree (fuzzy decision tree) for analyzing the decision process to convert the professional medical terms into corresponding common vocabularies that can be understood by people without medical knowledge, and first needs to collect enough historical nursing records, and uses the structure of the international nursing records thesaurus as the basic decision structure of the decision tree, and then combines the historical nursing records to establish a complete fuzzy decision tree, so that when a worker selects a professional medical term or inputs a professional medical term by himself, the vocabulary conversion module can identify the actual focus to which the professional medical term belongs, and then refers to the historical nursing records to appropriately convert the professional medical term into the corresponding common vocabularies.
FIG. 7 is a schematic diagram of the future actual focus assessment function provided by the nursing records management module according to the present invention; FIG. 8 is a schematic diagram of a second simple decision tree of the present invention; FIG. 9 is a schematic view of a discourse type record interface provided by the nursing records management module according to the present invention; as shown in fig. 7, in addition to the above-mentioned vocabulary conversion, the system further automatically collects the information recorded by the staff on the nursing record management module, and automatically analyzes, estimates, and pre-determines the focus probability of the nursing record required subsequently; as shown in fig. 8, another simple decision tree is built in the system, which can automatically generate corresponding statement sentences (statements) required by the nursing records according to different threshold conditions (conditions) set by the system, so as to assist the staff to easily and quickly complete chapter-based DART nursing records, and finally generate chapter-based DART nursing records by the system, as shown in fig. 9.
FIG. 10 is a schematic view of a health instrument panel of the present invention; the system of the invention can integrate various health indicators of a nursing object, in particular 17 health indicators comprising vital sign records, blood sugar records, insulin records, medication plans, administration records, shift records, pressure sore wound records, weight records, nursing diagnosis, intelligent nursing records, Barthel (Barthel), depression evaluation table (GDS), cognition evaluation table (SPMSQ), fall evaluation table, pain evaluation table, mini nutrition evaluation table (MNA), body function evaluation table and the like, are displayed on a single page through a quantized and materialized window display module, so that a worker can quickly master the whole health information of the medical object in a specific period at one time by only scanning the single page, thereby facilitating the interactive reference among information, assisting the professional nursing diagnosis decision-making and according to the integrated information, the system can further send out an abnormal value real-time report to the working personnel in real time through the abnormal emergency broadcasting module once the abnormal value is found.
FIG. 11 is a schematic diagram of the mechanism for generating a health analysis report of the present invention; FIG. 12 is a schematic of a health analysis generated by the system of the present invention; in addition, in order to further save the data comparison time of the staff, as shown in fig. 11, the system of the present invention can also automatically compare the changes of 17 module records, then collect the records, and generate the health condition summary as shown in fig. 12 through the feature text translation mechanism, the staff can focus on the record information which starts to degenerate recently or continues to degenerate, and the health condition summary can automatically present the health emphasis of the patient in a certain period of time in the past in a concise manner, for example: wangtiang helps the body temperature rise for several times in the past 7 days, and the average blood sugar before meal is 235 mg/dL. The recent response is mild pain in the legs and buttocks, with metastasis. The pap scale assesses moderate dependence, feeding, displacement, personal hygiene assistance, and the like.
FIG. 13 is a system architecture diagram of an intelligent care information platform according to a second embodiment of the present invention; as shown in fig. 13, the intelligent care information platform of the present invention is divided into a care end (care end) CE and a family end (user end) FE, wherein the care end CE includes the following modules: the system comprises a nursing record management module, a vocabulary conversion module, a window display module, a nursing platform homepage module, a nursing schedule/periodic evaluation reminding module, a vital sign remote monitoring module, a three-class report module, an abnormal emergency broadcasting module, a health instrument panel module and the like, wherein a family end FE comprises the following modules: a health record management module and a health care module, wherein the health care CE nursing record management module, the vocabulary conversion module, the window display module, etc. and the health record management module are implemented in the same manner as those of the first embodiment.
The care end CE can provide the following functions: (1) the method comprises the following steps of (1) reminding (2) performing nursing schedule/periodic evaluation, (3) remotely monitoring vital signs, (4) broadcasting abnormal vital signs, (5) intelligently nursing records, and a health instrument board; the home FE can provide the following functions: (1) the weekly health report (2) abnormal conditions are real-time broadcast (3) health information inquiry (4) and calendar sharing is attended.
FIG. 14 is a schematic diagram of a smart care information platform of the present invention; the home page module of the care platform comprises the following characteristics: the functions of the care components are individualized, so that different care roles can select common function lists, life signs of the whole hospital, blood sugar states, medicine quantity warning and abnormal movement in and out of the hospital and are visualized, the institution can conveniently master the care state, and the homepage of the care platform can update the real-time state of the whole hospital at any time.
FIGS. 15 and 16 are schematic diagrams of a care schedule/periodic review reminder module according to the present invention; the care scheduling/periodic evaluation reminding module of the invention comprises the following characteristics: the scheduling visualization, in which the calendar schedule (e.g., blood glucose measurement, medication frequency, evaluation frequency) of each resident is visualized to make the work and rest of the resident and the daily care items clear at a glance, is shown in fig. 15, where the measurement/evaluation reminder, the care items listed in the schedule, is displayed on the interface at the set scheduling time to remind the care giver to take care of the relevant care, as shown in fig. 16.
FIGS. 17 and 18 are schematic views of a vital sign remote monitoring module according to the present invention; the remote vital sign monitoring module of the invention comprises the following characteristics: the mobile phone is used for controlling the vital sign instrument, the data can be automatically transmitted to the system platform only by pressing down the measurement key through the Bluetooth connection of the mobile phone and the vital sign instrument, and meanwhile, the mobile phone is synchronous with the care schedule, so that a care taker can carry out related care according to the schedule list and the preset time, as shown in fig. 17.
The measured data is synchronized in real time, and the data automatically thrown and rotated is measured by the mobile phone, so that the data can be synchronized to a television wall of a care unit and a mobile phone of a manager in real time, remote life monitoring is more real-time and more concerned, attention dead corners are reduced, abnormal values (yellow) and emergency abnormal values (red) of programs are unstable, professional nursing judgment is combined, and corresponding parameter adjustment is carried out according to general/individual conditions of the elderly, as shown in fig. 18.
FIG. 19 is a schematic diagram of a three-shift vital sign reporting and emergency push module according to the present invention; the three-shift reporting and abnormal emergency broadcasting module for vital signs comprises the following characteristics: the measurement conditions of each shift are counted, the list of instability and the list to be observed are separated, so that the care is more targeted, if the measured value is suddenly abnormal and too low, the measured value can be immediately sent to doctors and mechanism managers through communication software after meeting the set condition parameters of the system.
FIGS. 20 and 21 are schematic views of an intelligent nursing record management module according to the present invention; the intelligent nursing record management module of the invention comprises the following characteristics: the intelligent nursing record draft is generated by dispersing the observation and evaluation in the nursing record in the daily routine measurement, so as to shorten the recording time, make the recording more efficient and have less memory errors, and by combining the past medical history of the people, the physiological value measurement and the historical nursing record, the nursing focus (focus) which may be matched is screened, and the nursing decision judgment is assisted by the nursing staff, and the generation of the intelligent nursing record draft is shown in fig. 20 and 21.
FIGS. 22 and 23 are schematic views of a health instrument panel module of the present invention; the health instrument board module of the invention comprises the following characteristics: the health dashboard visualizes daily and regular measurement data of individual residents to make the analysis of health status weaknesses clear at a glance, as shown in fig. 22 and 23, the health/care index, according to the evaluation of health value by professional elderly persons, totals all the values and analyzes them into different health index (displaying health status)/care manpower index (displaying the amount of required assigned care manpower), as shown in fig. 22.
FIGS. 24 and 25 are schematic diagrams of the health care module of the present invention; the senior health care module of the present invention includes the following features: the health records are reported, the health condition of the elder is updated to the family of the elder regularly, the life interaction situation in the mechanism and the calendar sharing are realized, and the return visit time, the living goods requirement, the trip/mechanism activity and the health condition of the elder are known through the sharing of the care calendar.
The system of the invention is provided with a reporting threshold judged by context perception information, and through a care knowledge comparison table established by cooperation of information personnel and nursing personnel, the system of the invention can send corresponding information to an organization manager according to different data input conditions and conditions, and pre-warn the possible development trend of the health of residents, and the system also can send the corresponding information to an information template which can be transferred to family members by the organization according to the thresholds of different conditions, so that the care information can be synchronous with the family members, and the care trust relationship is enhanced through communication.
Case one: context aware information/health care home LINE notification threshold currently
Case two: context aware information/Beifang (refer to TTAS Emergency triage scale)
A first numerical threshold table: LINE notification threshold definition
(II) reporting instability of mechanism, please refer to the numerical threshold in the emergency interval.
1. The first level notifies "caregiver".
1.1 two (and more) consecutive measurements, when both heartbeat and blood pressure are "unstable" at the same time.
1.2 two (and more) consecutive measurements, when the heartbeat appears "unstable".
1.3 two (and more) consecutive measurements, when either body temperature, respiration or blood oxygen is "erratic". 2. The second level notifies "physician, supervisor".
2.1 first (and above) measurement, when both heartbeat and blood pressure are "abnormal" at the same time.
2.2 first (and above) measurement, when the heartbeat exhibits "abnormalities".
2.3 first (and above) measurement, when any one of body temperature, respiration or blood oxygen is "abnormal".
3. The third layer reports 'family' and generates report text to make the organization supervisor modify and forward to family or relative person)
3.1 third (and above) measurement, when both heartbeat and blood pressure are "urgent" at the same time.
3.2 third (and above) measurement, when the heartbeat appears "urgent".
3.3 third (and above) measurement, when any of body temperature, respiration or blood oxygen is "urgent".
(III) index severity weighting
The distribution is given according to the index reflecting severity: body temperature (1-6 min), respiration/blood oxygen (7-24 min), blood pressure (20-40 min), and heartbeat (30-50 min).
(IV) Care measures
In summary, the intelligent nursing information platform/intelligent nursing text generation system can assist a nursing institution to optimize recording and data analysis processes, establish a friendly communication bridge between the institution and a family of a nursing object, strengthen a multifunctional nursing information platform of trust link of nursing relations, enable a worker to know the nursing object better, and enable the worker to comprehensively master real-time conditions of a nursing site through automatic transmission of measured values, abnormal real-time propagation, a health information instrument board and the like, thereby improving nursing quality and the trust of the family to the nursing institution.
The intelligent nursing information platform combines Instant Messaging (IM), and updates/reports the latest physiological, life and health information of the nursing object to the family of the nursing object at any time in the form of chat robot (ChatBot) aiming at the user end which is mainly used by the ordinary user, so that the family of the nursing object can easily master the nursing health condition of elders and cares for the elders all day long without interruption.
The above embodiments of the invention can be arbitrarily combined with or substituted for each other to derive more implementation aspects, but without departing from the scope of the invention, further embodiments of the invention are provided as follows:
example 1: a smart care text generation system, comprising: a back-end server containing a digital database; a care-side device connected to the back-end server via the internet and executing a care-side application, the care-side application comprising: a nursing record management module configured to provide a pull-down menu for a worker to input a plurality of nursing data belonging to a nursing object in a click or self-input manner, and generate a nursing record according to the nursing data, wherein the recorded nursing data and the nursing record are stored in the digital database; a vocabulary conversion module configured to convert the care data into a plurality of corresponding common vocabularies through decision tree analysis, the converted common vocabularies being stored on the digital database; and a window presentation module configured to present the care record to the worker; and the client device is connected with the back-end server through the Internet, executes a client application program to access the ordinary vocabularies, and displays the health report based on the ordinary vocabularies to an ordinary user after the user programs the ordinary vocabularies.
Example 2: the system for generating smart care texts as in embodiment 1, wherein the client application further comprises: the health record management module is configured to provide a dialogue type input interface so as to provide a common user to input a plurality of health data in a click or self-input mode, and the recorded health data are stored in the digital database.
Example 3: the system according to embodiment 1, wherein the point-of-care application further comprises one of the following modules: the system comprises a nursing platform homepage module, a nursing schedule/periodic evaluation reminding module, a vital sign remote monitoring module, a three-shift reporting module, an abnormal emergency broadcasting module and a health instrument panel module.
Example 4: the system as described in embodiment 1, wherein the client application is provided to the general user in the form of a chat robot on an instant messaging application for operation and use.
Example 5: the system according to embodiment 1, wherein the nursing record management module further comprises a plurality of focus categories, each of the focus categories further comprising a plurality of actual focus options.
Example 6: the smart care text generation system of embodiment 1, wherein the decision tree analysis is a fuzzy decision tree analysis.
Example 7: the system as claimed in embodiment 1, wherein the nursing note management module is further configured to automatically generate corresponding statement sentences required for nursing notes according to different predetermined threshold conditions through a second simple decision tree.
Example 8: the system for generating intelligent nursing texts as in embodiment 1, wherein the nursing-end device is a tablet computer, a desktop computer, a notebook computer or a smart phone.
Example 9: the system of embodiment 1, wherein the client device is a tablet computer, a desktop computer, a laptop computer, or a smart phone.
Example 10: a smart care information platform, comprising: a back-end server containing a digital database; a care-side device connected to the back-end server via the internet and executing a care-side application, the care-side application comprising: a nursing record management module configured to provide a pull-down menu for a worker to input a plurality of nursing data belonging to a nursing object in a click or self-input manner, and generate a nursing record according to the nursing data, wherein the recorded nursing data and the nursing record are stored in the digital database; a vocabulary conversion module configured to convert the care data into a plurality of corresponding common vocabularies through decision tree analysis, the converted common vocabularies being stored on the digital database; and a window presentation module configured to present the care record to the worker; and the client device is connected with the back-end server through the Internet, executes a client application program to access the ordinary vocabularies, and displays the health report based on the ordinary vocabularies to an ordinary user after the user programs the ordinary vocabularies.
The embodiments of the present invention can be arbitrarily combined with or replaced by other embodiments to derive more implementation modes, but the scope of the present invention is not limited by the scope of the present invention, which is defined by the claims of the present invention.
Claims (10)
1. A smart care text generation system, comprising:
a back-end server containing a digital database;
a caregiver end device connected to the backend server via the internet and executing a caregiver end application configured to be selectively provided to a caregiver through a first instant messaging application, the caregiver end application comprising:
a nursing record management module configured to provide a pull-down menu for the caregiver to input professional terms to record a plurality of nursing data belonging to a nursing subject in a click-selection or self-input manner, determine actual focus categories to which the plurality of professional terms belong by performing fuzzy decision tree analysis and classify the actual focus categories into the actual focus categories, and automatically generate nursing records organized in chapter based on statement sentences according to the actual focus categories to which the professional terms belong and corresponding threshold conditions, respectively, by performing simple decision tree analysis, wherein the plurality of professional terms, the plurality of nursing data and the nursing records are stored in the digital database;
a vocabulary conversion module configured to convert the plurality of professional terms and the plurality of care data into a corresponding plurality of common vocabularies according to the actual focus category to which the professional term belongs by performing the fuzzy decision tree analysis, wherein the converted plurality of common vocabularies are stored on the digital database; and
a window presentation module configured to present the care record to the caregiver; and
and the user end device is connected with the back end server through the Internet and executes a user end application program, the user end application program is configured to be provided for a common user to operate through a second instant messaging application program, the plurality of common vocabularies are accessed, and health reports based on the plurality of common vocabularies are displayed to the common user after being arranged.
2. The smart care text generation system of claim 1, wherein the user-side application further comprises:
the health record management module is configured to provide a dialogue type input interface so as to provide the common user to input a plurality of health data in a clicking or self-inputting mode, and the recorded health data are stored on the digital database.
3. The smart care text generation system of claim 1, wherein the care-side application further comprises one of: the system comprises a nursing platform homepage module, a nursing schedule/periodic evaluation reminding module, a vital sign remote monitoring module, a three-shift reporting module, an abnormal emergency broadcasting module and a health instrument panel module.
4. The smart care text generation system of claim 1, wherein the client application is provided to the average user for operation and use in the form of a chat robot executing on the second instant messaging application.
5. The smart care text generation system of claim 1, wherein the care records management module further includes options for a plurality of focus broad classes, each of the plurality of focus broad classes further including options for a plurality of actual focuses.
6. The smart care text generation system of claim 1, wherein a decision tree used by the fuzzy decision tree analysis includes a plurality of focus broad classes, each of the focus broad classes also including the actual focus class.
7. The intelligent nursing text generating system of claim 1, wherein the simple decision tree analysis automatically generates the corresponding statement required by the nursing record according to the actual focus category to which the term belongs and the threshold condition.
8. The smart care text generation system of claim 1, wherein the care-side device is a tablet computer, a desktop computer, a laptop computer, or a smartphone.
9. The smart-care text generation system of claim 1, wherein the client device is a tablet computer, a desktop computer, a laptop computer, or a smartphone.
10. An intelligent care information device, comprising:
a back-end server containing a digital database;
a caregiver end device connected to the backend server via the internet and executing a caregiver end application configured to be selectively provided to a caregiver through a first instant messaging application, the caregiver end application comprising:
a nursing record management module configured to provide a pull-down menu for the caregiver to input a professional term to record a plurality of nursing data belonging to a nursing object in a click-selection or self-input manner, determine an actual focus category to which the professional term belongs by performing fuzzy decision tree analysis and classify the actual focus category into the actual focus category, and automatically generate a nursing record organized in a chapter based on a statement sentence according to the actual focus category to which the professional term belongs and a corresponding threshold condition, wherein the professional term, the plurality of nursing data and the nursing record are stored in the digital database;
a vocabulary conversion module configured to convert the professional terms and the plurality of care data into a corresponding plurality of common vocabularies according to the actual focus category to which the professional terms belong by performing the fuzzy decision tree analysis, the converted plurality of common vocabularies being stored on the digital database; and
a window presentation module configured to present the care record to the caregiver; and
and the user end device is connected with the back end server through the Internet and executes a user end application program, the user end application program is configured to be provided for a common user to operate through a second instant messaging application program, the plurality of common vocabularies are accessed, and health reports based on the plurality of common vocabularies are displayed to the common user after being arranged.
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