Internal medicine nursing case narrative analysis and training system based on card triggering
The internal medicine nursing case narrative analysis and training system, triggered by cards, utilizes radio frequency identification technology and central processing unit control to achieve step-by-step triggering and linkage control of medical records, patient narratives, and symptoms. This solves the problem of insufficient multi-dimensional information control in traditional nursing teaching and improves nursing students' narrative ability and communication skills.
Patent Information
- Application Number
- CN202522747099.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-25
- Publication Date
- 2026-01-30
- Estimated Expiration
- 2035-12-25
AI Technical Summary
Traditional nursing education cannot achieve step-by-step triggering and linkage control of multi-dimensional information such as medical records, patient narratives, and symptom recognition. Students lack training in active exploration and information extraction. Existing VR systems are expensive and difficult for ordinary nursing schools to configure. Existing speech recognition systems have failed to train students' ability to extract key nursing information from patients' spoken narratives.
The system employs a card-triggered internal medicine nursing case narrative analysis and training system. It uses radio frequency identification technology to identify medical records, patient narratives, and symptom cards. Combined with a central processor to control the display of information, and a wearable communication terminal to play patient narratives and collect student voice recordings, it achieves step-by-step triggering and linkage control of multi-dimensional information, providing an immersive training environment.
This approach enables low-cost, standardized, and immediate feedback nursing narrative training, improving students' medical narrative skills and clinical communication abilities, and enhancing the authenticity and effectiveness of the training.
Smart Images

Figure CN223857777U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to medical teaching equipment technical field, concretely relates to internal medicine nursing case narration analysis and training system based on card trigger. BACKGROUND
[0002] Medical narration ability is the core literacy of modern nursing professional education, and it requires nursing personnel to accurately listen to patient complaints, systematically extract clinical key information, deeply understand disease changes, use empathetic language to respond to patient concerns, and develop scientific and reasonable nursing measures plan. Traditional nursing teaching mainly relies on classroom theory teaching, paper case analysis and standardized patient simulation training to cultivate students' narration ability.
[0003] Patent CN203232628U discloses a kind of medical teaching management system based on RFID, and the system uses RFID technology to carry out instrument identification and student sign-in, but does not involve nursing case training and symptom identification verification function. The above prior art has the following technical problems: first, traditional case teaching cannot realize the step-by-step triggering and linkage control of medical record information, patient narration, symptom identification and other multi-dimensional information, and students can only passively accept complete cases, lacking active exploration and information extraction training process. Second, although existing VR virtual simulation system can provide immersive experience, it is high in cost and needs professional maintenance, and ordinary nursing schools are difficult to configure on a large scale. Third, existing voice recognition examination system only focuses on students' oral expression results, and does not design symptom information extraction and matching verification circuit functions, and cannot train students' ability to extract nursing key information from patient oral narration. Therefore, it is urgent to develop a nursing narration training system based on multi-path RFID circuit, timing control circuit and wireless audio transmission circuit to realize low-cost, standardized and instant feedback training effect. UTILITY MODEL CONTENT
[0004] The utility model aims at providing internal medicine nursing case narration analysis and training system based on card trigger, for cultivating medical narration ability and clinical communication skills of nursing professional students.
[0005] To solve the above technical problems, the utility model adopts the technical scheme of including main control terminal, including central processing unit, memory and communication interface, for system control, data processing and logical judgment;
[0006] Display, electric connection with main control terminal, for displaying medical record information, vital sign data and operation prompt;
[0007] The student wears a communication terminal, including a wireless communication module, a headset unit, a microphone unit and an audio processing module; the wireless communication module performs wireless data transmission with the host terminal; the input end of the headset unit is electrically connected with the audio output end of the audio processing module, for playing the patient's narrative content; the output end of the microphone unit is electrically connected with the audio input end of the audio processing module, for collecting the student's voice;
[0008] The first card identification module is electrically connected with the host terminal, for identifying the cards in the medical record identification card group;
[0009] The second card identification module is electrically connected with the host terminal, for identifying the cards in the patient narrative card group;
[0010] The third card identification module is electrically connected with the host terminal, for identifying the cards in the key symptom card group;
[0011] The medical record identification card group includes multiple medical record identification cards, each card storing the medical record information and vital sign data of the corresponding simulated patient;
[0012] The patient narrative card group includes multiple patient narrative cards, each card storing the spoken narrative content of the corresponding patient;
[0013] The key symptom card group includes multiple key symptom cards, each card corresponding to a clinical symptom or sign.
[0014] In the above technical solution, the first card identification module, the second card identification module and the third card identification module all use a radio frequency identification (RFID) reader, with a working frequency of 13.56 MHz; the cards in the medical record identification card group, the patient narrative card group and the key symptom card group all have an RFID chip built-in, and each card has a unique identification code.
[0015] In the above technical solution, the central processor of the host terminal is electrically connected with the memory through an internal data bus, and the memory stores a symptom matching database and a report generation program; the host terminal further includes a timer circuit and a video signal interface, the video signal interface is electrically connected with the display, and the timer circuit is electrically connected with the central processor, for controlling the display timing of the display.
[0016] According to the technical scheme, the radio frequency identification (RFID) reader is connected to the host terminal through a separate chip selection signal line, the radio frequency identification (RFID) readers in the first card identification module, the second card identification module and the third card identification module are connected to the host terminal through a digital communication bus, the digital communication bus is a serial bus, and the serial bus includes a clock signal line, a data sending signal line, a data receiving signal line and a chip selection signal line; the radio frequency identification (RFID) readers in the first card identification module, the second card identification module and the third card identification module share the clock signal line, the data sending signal line and the data receiving signal line, and time division multiplexing is realized through different chip selection signal lines.
[0017] According to the technical scheme, the timer circuit includes a clock source circuit, a frequency division circuit and a counting circuit, the clock source circuit generates a reference clock signal, the frequency division circuit divides the reference clock signal into a standard time pulse signal, and the counting circuit counts the time pulse signal; the output end of the counting circuit is electrically connected to the central processor through a control interface, the counting circuit sends a control signal to the central processor when the counting value reaches a preset threshold value; and the central processor sends a display control instruction to the display through a video signal interface in response to the control signal.
[0018] According to the technical scheme, the host terminal further includes a prompt circuit, the prompt circuit includes a driving circuit and a buzzer, the input end of the driving circuit is electrically connected to the central processor through a control interface, and the output end of the driving circuit is electrically connected to the driving end of the buzzer; when the identification code of the key symptom card swiped by the student does not match the standard symptom combination stored in the symptom matching database, the central processor outputs a control signal to the driving circuit through the control interface, and the driving circuit drives the buzzer to emit an alarm sound; and when the matching is successful, the driving circuit drives the buzzer to emit a confirmation sound.
[0019] According to the technical scheme, the communication interface is electrically connected to the central processor, and the central processor transmits the generated training report document to the remote server through the communication interface.
[0020] Each medical record identification card in the medical record identification card group is provided with a color identification layer on the surface of the card, and different disease systems are identified by different colors;
[0021] The cards in the key symptom card group are divided into multiple types according to symptom categories, and the cards of each type are identified by different colors.
[0022] According to the technical scheme, the audio processing module in the communication terminal worn by the student includes an audio codec chip, and the wireless communication module is electrically connected to the audio codec chip; the microphone unit includes a MEMS microphone, and the signal output end of the MEMS microphone is electrically connected to the audio input end of the audio codec chip.
[0023] With the technical scheme, the display is a 21.5-inch LED liquid crystal display, and the resolution is 1920*1080 pixels; the display is electrically connected with the master terminal through an HDMI video signal interface; the HDMI video signal interface transmits TMDS differential video signals and TMDS clock differential signals, and reads EDID information of the display through a bus.
[0024] With the technical scheme, the RFID chip has a storage capacity of 1024 bytes; the storage area of the medical record identification card organizes data according to sectors, the first sector stores basic information of a patient, the second sector stores vital sign data, the third sector stores past history, and the fourth sector stores auxiliary examination results; and the storage area of the patient narrative card stores an audio file index code.
[0025] Due to the adoption of the technical scheme, the present application has the following technical progress compared with the prior art:
[0026] The three card identification modules are electrically connected with the master terminal, so that the medical record identification card group, the patient narrative card group and the key symptom card group can be identified separately; the central processor of the master terminal controls the display to display medical record information, plays patient narrative content through the earphone unit of the student communication terminal and verifies whether the identification code of the key symptom card is matched, so that multi-dimensional information such as medical record information, patient narrative and symptom identification can be triggered and controlled step by step, the problem of passive learning of students caused by one-time display of complete cases is avoided, and the training process of active exploration and information extraction is realized; meanwhile, the wireless communication module of the student communication terminal and the master terminal perform wireless data transmission, the earphone unit plays patient narrative audio, and the microphone unit collects student voice, so that students can perform narrative ability training in an immersive nurse-patient communication situation, and the authenticity and effectiveness of the training are improved. BRIEF DESCRIPTION OF DRAWINGS
[0027] The present application will be further described below with reference to the drawings.
[0028] Figure 1 Fig. 1 is a schematic diagram of the overall principle of the card-triggered internal medicine nursing case narrative analysis and training system of the present application;
[0029] Figure 2 Fig. 3 is a schematic diagram of the circuit structure of the master terminal of the present application;
[0030] Figure 3 Fig. 5 is a schematic diagram of the circuit structure of the timer circuit of the present application;
[0031] Figure 4 Fig. 6 is a work flow chart of the present application.
[0032] In the diagram: 1. Main control terminal; 11. Central processing unit; 12. Memory; 2. Display; 3. Student wearable communication terminal; 4. First card recognition module; 5. Second card recognition module; 6. Third card recognition module; 7. Medical record recognition card set; 8. Patient narrative card set; 9. Key symptom card set. Detailed Implementation
[0033] The present invention will be further described in detail below with reference to embodiments:
[0034] Example 1
[0035] like Figures 1-4 As shown, this utility model provides a card-triggered internal medicine nursing case narrative analysis and training system, including a main control terminal 1, a display 2, a student-worn communication terminal 3, a first card recognition module 4, a second card recognition module 5, a third card recognition module 6, a medical record recognition card group 7, a patient narrative card group 8, and a key symptom card group 9.
[0036] This system adopts a distributed architecture design. The main control terminal 1 serves as the core computing node, undertaking computationally intensive tasks such as display control, database querying, audio decoding, speech recognition, and logical judgment. The student-worn communication terminal 3 serves as a lightweight data acquisition node, undertaking audio acquisition, encoding, and wireless transmission tasks. The timer circuit uses an independent hardware timing scheme, working in conjunction with the central processing unit 11 through an interrupt mechanism to ensure that timing accuracy is not affected by software task scheduling. This architecture design concentrates the computational load on the high-performance main control terminal, reducing the hardware requirements and power consumption of the student terminals, while ensuring the overall reliability and real-time performance of the system.
[0037] The master terminal 1 adopts an embedded mainboard architecture, including a central processor 11, a memory 12, a communication interface, a timer circuit, a prompt circuit and a power management circuit. The central processor 11 adopts a RuiCore RK3328 chip, and a hardware video decoder is built-in. A DDR bus pin group of the central processor 11 is connected with corresponding pins of a DDR3 memory chip one by one, so as to realize high-speed data transmission. An eMMC bus pin group of the central processor 11 is connected with corresponding pins of an eMMC flash memory chip, for storing an operating system, application programs and data. An HDMI interface pin group of the central processor 11 is connected with an HDMI output interface, and the HDMI output interface is connected with a display 2 through an HDMI cable. An SPI interface pin group of the central processor 11 includes three groups of independent chip selection signal lines SS1, SS2 and SS3, and a shared clock signal line SCK, a master output slave input data line MOSI and a master input slave output data line MISO. The three groups of chip selection signal lines are respectively connected to a first RFID reader of the first card recognition module 4, a second RFID reader of the second card recognition module 5 and a third RFID reader of the third card recognition module 6, and the three signal lines SCK, MOSI and MISO are shared by the three RFID readers. Pins of a UART serial communication interface of the central processor 11 are connected with corresponding pins of a Bluetooth module, and a baud rate is set to 115200 bps. In the GPIO pins of the central processor 11, the GPIO0 is connected to an interrupt output end of the timer circuit, the GPIO1 is connected to an input end of a buzzer driving circuit of the prompt circuit, and the GPIO2-GPIO5 are reserved for extended functions such as status indicator lights.
[0038] The memory 12 includes a DDR3 memory and an eMMC flash memory. The storage space of the eMMC flash memory is divided into a system partition and a data partition. The system partition stores a master program, and the data partition stores a symptom matching database, a patient narrative audio file library and a training report document. The symptom matching database adopts a SQLite database format, and includes three main data tables: a medical record table stores complete medical record information of 30 simulated patients; a symptom table stores the codes, names and descriptions of 50 kinds of clinical symptoms and signs; and a matching table stores a list of mandatory symptom codes and a list of optional symptom codes corresponding to each patient narrative card. For example, the mandatory symptoms corresponding to the patient narrative card P001 are S001 fever, S002 cough, S003 yellow sputum, S004 shortness of breath after activity and S011 sleep disorder, and the optional symptoms are S005 chest pain and S031 anxiety. The patient narrative audio file library stores 30 audio files, and the file format is MP3, the sampling rate is 44.1 kHz, the bit rate is 128 kbps, the time length of each audio file is 30-60 seconds, and the file naming rule is Audio_P001.mp3 to Audio_P030.mp3.
[0039] The wireless communication module adopts an ESP32-WROOM-32D module, which integrates Bluetooth 5.0 and WiFi functions. The TX sending pin of the module is electrically connected to the UART receiving pin of the central processor 11, and the RX receiving pin is electrically connected to the UART sending pin of the central processor 11. The radio frequency output end of the wireless communication module is electrically connected to the 2.4 GHz ceramic antenna through a π-type matching network, and the antenna gain is 2dBi, realizing wireless data transmission with the student wearing the communication terminal 3.
[0040] The timer circuit includes a clock source circuit, a frequency division circuit and a counting circuit. The clock source circuit adopts a 32.768 kHz quartz crystal oscillator, which forms a Pierce oscillation circuit with two 22 pF load capacitors. The two pins of the crystal oscillator are connected to the crystal oscillator input and output of the frequency division circuit, respectively. The frequency division circuit adopts a fourteen-stage binary counter divider chip to divide the 32.768 kHz signal into a 2 Hz square wave signal. The counting circuit adopts a CD4040B twelve-stage binary counter chip to count the 1 Hz second pulse. The Q4 output end of the counting circuit is electrically connected to the interrupt request pin of the central processor 11 through the GPIO general input and output interface. When the count value reaches 10 seconds, the counting circuit outputs a high level signal, triggering the interrupt service program of the central processor 11. After the central processor 11 responds to the interrupt, it reads the current training state and sends display control instructions to the display 2 through the HDMI interface, realizing the timing closing of the medical record information or the switching display of the prompt information.
[0041] The prompt circuit includes a buzzer driving circuit and a buzzer. The buzzer driving circuit adopts an NPN triode S8050, the base is electrically connected to the GPIO control pin of the central processor 11 through a 1 kΩ current limiting resistor, the collector is connected to the positive electrode of the buzzer, and the emitter is grounded. The buzzer adopts an active buzzer with a model of HXD-5015. When the GPIO pin of the central processor 11 outputs a high level, the triode is turned on, and the buzzer emits a prompt sound; when the output is low, the triode is cut off, and the buzzer stops making sound. By controlling the duration and frequency of the high level, different tone prompt sounds can be realized, such as short and rapid dripping sound indicating confirmation sound and continuous beep sound indicating warning sound.
[0042] The display 2 adopts a 21.5-inch LED liquid crystal display 2 with a resolution of 1920 by 1080 pixels and a response time of 5 milliseconds. The display 2 is electrically connected to the HDMI output port of the main control terminal 1 through the HDMI video signal interface. Pins 1 to 9 of the HDMI interface transmit three-way TMDS differential video signals, pins 10 to 12 transmit TMDS clock differential signals, pins 15 and 16 are bus signals for reading the EDID information of the display 2, and pin 18 is a 5V power output for powering the display 2.
[0043] The medical record identification card group 7 includes 30 medical record identification cards, the patient narrative card group 8 includes 30 patient narrative cards, and the key symptom card group 9 includes 50 key symptom cards. The RFID chip adopts a Mifare Classic 1K chip, model MF1S50, and the storage capacity is 1024 bytes.
[0044] The storage area of the medical record identification card is organized as follows: the 0th sector and the 0th block store the manufacturer code and the card UID unique identifier, in hexadecimal format, and the UID is 4 bytes long, such as the UID of card 001 is 04A2B3C4. The 1st sector stores the patient's basic information, encoded in ASCII, including the name, sex, age, occupation, and admission time fields, such as "Name: Zhang Ming, Sex: male, Age: 45, Occupation: engineer, AdmitTime: 2024-12-01 08:00". The 2nd sector stores vital sign data, using a simplified representation method, such as "T: 38.5, P: 98, R: 28, BP: 130 / 85, SpO2: 92", representing body temperature 38.5 degrees Celsius, pulse 98 times per minute, respiration 28 times per minute, blood pressure 130 / 85 mmHg, and blood oxygen saturation 92%. The 3rd sector stores the past medical history and allergy history. The 4th sector stores auxiliary examination results, such as blood routine examination, imaging examination, and other information.
[0045] The storage area of the patient narrative card only stores the audio file index code, such as "Audio_P001.mp3". The corresponding audio file is pre-stored in the non-volatile memory 12 of the host terminal 1, and the audio format is MP3, the sampling rate is 44.1 kHz, the bit rate is 128 kbps, and the duration is 30 to 60 seconds. The audio content is the patient's oral narrative recorded in advance, such as "Nurse, I have been fever for a few days, and even after taking the fever-reducing medicine, I still don't feel better. Last night, I had a fever of over 39 degrees, and I didn't sleep well all night. I also have a persistent cough, and the sputum is yellow and sticky, and sometimes the coughing hurts my chest. I can't breathe when I move, and I have to stop and rest after walking a few steps. I am very worried and don't know if I have a serious illness".
[0046] The storage area of the key symptom card stores the symptom identification code and symptom description, encoded in ASCII, such as "S001, fever, body temperature above 37.3°C". The 50 key symptom cards are divided into five categories according to the symptom category: 10 main complaint cards, with red markings on the card surface; 10 vital sign cards, with yellow markings; 10 physical sign cards, with green markings; 10 functional status cards, with blue markings; and 10 psychological state cards, with purple markings.
[0047] The 30 cards in the medical record identification card set 7 adopt a color coding scheme: red identification represents respiratory system diseases such as pneumonia, asthma, a total of 6; blue identification represents circulatory system diseases such as hypertension, heart failure, a total of 6; green identification represents digestive system diseases such as gastritis, cirrhosis, a total of 6; yellow identification represents urinary system diseases such as nephritis, urinary tract infection, a total of 6; purple identification represents endocrine system diseases such as diabetes, hyperthyroidism, a total of 6.
[0048] The student wears the communication terminal 3, which includes a wireless communication module, an audio processing module, an earphone unit, and a microphone unit.
[0049] The wireless communication module adopts an nRF52832 chip, which is built-in with an ARM Cortex-M4F processor and a 2.4 GHz radio frequency transceiver, and supports Bluetooth 5.0 protocol. The GPIO5 to GPIO8 pins of the nRF52832 chip are configured as I2S digital audio interfaces, including a BCLK bit clock signal line, an LRCLK left and right channel clock signal line, an SDIN serial data input line, and an SDOUT serial data output line, which are electrically connected with the audio processing module to realize transmission of digital audio data.
[0050] The audio processing module adopts a CS43L22 audio codec chip, which integrates a stereo DAC digital-to-analog converter and an ADC analog-to-digital converter, and supports AAC and SBC audio coding standards. The I2S interface pins of the CS43L22 chip are electrically connected one by one with the I2S interface of the nRF52832 chip. The AOUTA+ and AOUTA- differential audio output pins of the chip are connected to the input end of the earphone unit, the MIC+ microphone positive input pin is connected to the output end of the microphone unit, and the MIC- microphone negative input pin is grounded. The ADC sampling rate inside the chip is configured as 16 kHz, and the quantization bit number is 16 bits, meeting the voice signal acquisition requirement; the DAC sampling rate is configured as 44.1 kHz, and the quantization bit number is 16 bits, ensuring the audio playback quality.
[0051] The earphone unit is an in-ear earphone, and the microphone unit includes a MEMS microphone, a preamplifier, and an analog-to-digital converter. The output of the MEMS microphone is a PDM pulse density modulation digital signal, which is connected to the input end of the preamplifier. The preamplifier adopts a TLV320AIC3254 chip to filter, gain amplify, and format convert the PDM signal, and outputs an I2S digital audio format. The I2S output end of the preamplifier is connected to the ADC input end of the CS43L22 chip. When the student speaks through the microphone unit, the sound is converted into an electric signal, which is converted into digital audio data through preamplification and ADC conversion, transmitted to the nRF52832 chip through the I2S interface, and then transmitted wirelessly to the host terminal 1 through Bluetooth.
[0052] The audio processing module encodes and compresses the voice data collected by the microphone and transmits it in real time to the host terminal 1 through the Bluetooth module of the nRF52832 chip. The central processor 11 of the host terminal 1 integrates a voice-to-text algorithm and uses the offline speech recognition engine of the National University of Defense Technology, which supports Mandarin recognition. The RK3328 chip of Ruijie Micro uses an ARM Cortex-A53 quad-core architecture with a main frequency of 1.5 GHz and DDR3 memory, providing the computing power required to run the offline speech recognition engine. After receiving the audio data transmitted by the student terminal, the central processor 11 calls the speech recognition engine to convert the audio data into text and store it.
[0053] The complete workflow of the system is as follows:
[0054] Step 1: System initialization. Start the host terminal 1 and turn on the power switch of the wearable communication terminal. When the wearable communication terminal detects the broadcast signal of the host terminal 1, it automatically initiates a pairing request to establish a Bluetooth connection.
[0055] Step 2: Random card drawing. The student randomly draws one card from each of the medical record identification card group 7 and the patient narrative card group 8. To ensure the diversity of training, the system records the card numbers that have been trained to avoid repeating the same case in a short period of time.
[0056] Step 3: Brushing the medical record identification card. The student places the drawn medical record identification card (e.g., card 001) in the "medical record identification card area" of the operation panel. The radio frequency identification chip is activated and returns the data in the memory 12 to the reader / writer through load modulation technology. The central processor 11 controls the radio frequency identification reader / writer to perform the card reading operation, obtains the card UID 04A2B3C4, queries the database to confirm that it is card 001, and then reads the data in sectors 1 to 4 in sequence and returns it to the central processor 11 through the bus. The central processor 11 analyzes the card data, extracts the patient's name, age, vital signs, and other information, and sends it to the display 2 through the HDMI interface. The display 2 displays the medical record information in a structured table format, including the patient's basic information, vital signs, medical history, and auxiliary examination. At the same time, the timer circuit starts counting, and the counter starts counting the 1Hz second pulses from 0.
[0057] Step 4: Timed closing of medical record information. The timer circuit continues to count, and when the count value reaches 10, the Q4 output of the counter changes from low to high, triggering the GPIO interrupt of the central processor 11. The central processor 11 executes the interrupt service program, reads the current training state flag bit, confirms that it is in the "medical record display stage", and then sends a clear screen instruction to the display 2 through the HDMI interface. The display 2 immediately closes the medical record information display, the screen becomes blank, and the central display shows the prompt text "Please brush the patient narrative card". The counter is reset to 0, preparing for the next timing.
[0058] The fifth step is to swipe the patient narrative card. The student places the drawn patient narrative card (e.g., card P001) in the "patient narrative card area", and the third radio frequency identification reader reads the card data through the same radio frequency identification process. The central processor 11 acquires the audio file index code "Audio_P001.mp3", and searches for the corresponding file in the audio file directory of the non-volatile memory 12, and transmits the file path to the audio decoding library. The audio decoding library reads the MP3 file header information and starts decoding the audio data. The decoded digital audio data is sent to the communication terminal worn by the student through the wireless communication module. The student hears the patient's oral narrative through the earphone, which lasts about 40 seconds. After the audio is played, the timer circuit of the host terminal 1 starts timing again.
[0059] The sixth step is to prompt to select the symptom card. After the timer counts for 10 seconds, the interrupt is triggered again, the central processor 11 updates the content of the display 2, and displays the prompt information "Please extract the key information of nursing assessment from the patient's description and select the corresponding symptom card for confirmation", and displays the operation prompt "Selected symptoms: none, progress: 0 / 5".
[0060] The seventh step is to swipe the key symptom card and verify. The student selects the corresponding card from the key symptom card group 9 according to the patient's narrative content just heard and combined with the patient's medical record information. The student first picks up the "fever" card (identification code S001) and places it in the "key symptom card area", and the third radio frequency identification reader reads the card data. The central processor 11 acquires the symptom identification code S001 and queries the symptom matching database in the memory 12. The database stores the standard symptom combination corresponding to the patient narrative card P001: 5 mandatory symptoms S001, S002, S003, S004, S011, and optional symptoms S005, S031. The central processor 11 judges that S001 is in the list of mandatory symptoms, the matching is successful, a short pulse signal is sent to the buzzer driving circuit through the GPIO control interface, the transistor is turned on for 100 milliseconds, and the buzzer emits a "drop" confirmation sound. At the same time, the display 2 updates the display content: "Selected symptoms: 1. Fever (elevated body temperature), progress: 1 / 5". If the student mistakenly swipes the "diarrhea" card (identification code S015), the central processor 11 judges that S015 is not in the standard symptom list, the matching fails, and a continuous pulse signal is sent to the buzzer driving circuit through the GPIO interface, and the buzzer emits a "beep beep beep" warning sound. The display 2 displays an error prompt box: "Symptom selection error, the symptom is not mentioned in the patient's narrative, please select again", and the error card is not counted in the selected symptom list. The student needs to continue to swipe the card until all 5 mandatory symptom cards are selected.
[0061] In the eighth step, voice repetition training. When the number of selected symptoms reaches 5 and all are correct, the central processor 11 judges that the symptom recognition stage is completed, and the display 2 is updated to display: "Symptom recognition is completed. Please repeat the patient's main complaints in spoken language, use empathetic language to respond, and give nursing advice. Click the button below to start recording". The student clicks the "Start Recording" button by touching the screen of the display 2, and the main control terminal 1 sends a recording start command to the wearable communication terminal. After receiving the command, the wearable communication terminal activates the microphone unit and starts collecting the student's voice. The student speaks into the microphone. The MEMS microphone converts the sound into an electrical signal, and the digital audio data converted by the ADC analog-to-digital converter is transmitted to the audio processing module through the I2S interface. The audio processing module encodes and compresses the audio data, and transmits it in real time to the main control terminal 1 through the Bluetooth module. The central processor 11 of the main control terminal 1 calls the Speech Recognition Engine of the Xunfei to recognize the received audio data in real time, and converts the recognition result into a text. The main control terminal 1 displays the received text data in the text box below the display 2 in real time, so that the student can confirm the accuracy of the recognition. After the recording is finished, the student clicks the "Stop Recording" button, and the complete voice-to-text text is stored in the non-volatile memory 12.
[0062] In the ninth step, a training report is generated. The central processor 11 calls the report generation program to integrate all the data of this training: the medical record information of the medical record identification card, the audio content text version of the patient's narrative card, the list of symptom cards selected by the student (including correct cards, wrong cards, and missed cards), the symptom recognition accuracy and time, the text transcription of the student's voice repetition, and the training start and end time stamps. The report generation program fills the data into the corresponding positions according to the preset PDF template format, and generates a PDF document. The document naming format is "Training Report_Student ID_Date and Time.pdf", and is saved to the report directory of the non-volatile memory 12. If the main control terminal 1 is connected to an Ethernet or WiFi network, the central processor 11 uploads the PDF document to a remote server through the network communication interface, and the teacher can log in to the server through a Web browser to check the student's training report, and make corrections and scores.
[0063] The above describes the general description of the present application, but some modifications or improvements can be made on the basis of the present application, which is obvious to those skilled in the art. Therefore, without departing from the spirit of the present application, the modifications or improvements are within the scope of the present application.
Claims
1. A card-triggered medical care case narration analysis and training system, characterized in that, The application relates to a medical student training system, which comprises a master terminal (1), a display (2), a student communication terminal (3), a first card identification module (4), a second card identification module (5) and a third card identification module (6). The master terminal (1) comprises a central processor (11), a memory (12) and a communication interface, and is used for system control, data processing and logical judgment. The display (2) is electrically connected with the master terminal (1) and is used for displaying medical record information, vital sign data and operation prompts. The student communication terminal (3) comprises a wireless communication module, a headphone unit, a microphone unit and an audio processing module. The wireless communication module is used for wireless data transmission with the master terminal (1). The input end of the headphone unit is electrically connected with the audio output end of the audio processing module, and is used for playing patient narration content. The output end of the microphone unit is electrically connected with the audio input end of the audio processing module, and is used for collecting student voice. The first card identification module (4) is electrically connected with the master terminal (1) and is used for identifying cards in a medical record identification card group (7). The second card identification module (5) is electrically connected with the master terminal (1) and is used for identifying cards in a patient narration card group (8). The third card identification module (6) is electrically connected with the master terminal (1) and is used for identifying cards in a key symptom card group (9).
2. The card-triggered medical case narrative analysis and training system based on cards according to claim 1, characterized in that: The medical record identification card group (7) comprises multiple medical record identification cards, each of which stores medical record information and vital sign data of a corresponding simulated patient.
3. The card-triggered medical case narrative analysis and training system based on cards according to claim 1, characterized in that: The patient narration card group (8) comprises multiple patient narration cards, each of which stores oral narration content of a corresponding patient. The key symptom card group (9) comprises multiple key symptom cards, each of which corresponds to a clinical symptom or sign. The first card identification module (4), the second card identification module (5) and the third card identification module (6) all adopt radio frequency identification (RFID) readers with a working frequency of 13.56 MHz. The cards in the medical record identification card group (7), the patient narration card group (8) and the key symptom card group (9) all are internally provided with RFID chips and have unique identification codes. The central processor (11) of the master terminal (1) is electrically connected with the memory (12) through an internal data bus. The memory (12) stores a symptom matching database and a report generation program. The master terminal (1) further comprises a timer circuit and a video signal interface. The video signal interface is electrically connected with the display (2). The timer circuit is electrically connected with the central processor (11) and is used for controlling the display time sequence of the display (2).
4. The card-triggered medical case narrative analysis and training system based on cards according to claim 2, characterized in that: The radio frequency identification (RFID) reader is connected with the master terminal (1) through a separate chip selection signal line, and the radio frequency identification (RFID) readers in the first card identification module (4), the second card identification module (5) and the third card identification module (6) are connected with the master terminal (1) through a digital communication bus, the digital communication bus is a serial bus, and the serial bus comprises a clock signal line, a data transmission signal line, a data receiving signal line and a chip selection signal line; the radio frequency identification (RFID) readers in the first card identification module (4), the second card identification module (5) and the third card identification module (6) share the clock signal line, the data transmission signal line and the data receiving signal line, and time division multiplexing is realized through different chip selection signal lines.
5. The card-triggered medical case narrative analysis and training system based on cards according to claim 3, characterized in that: The timer circuit comprises a clock source circuit, a frequency division circuit and a counting circuit, the clock source circuit generates a reference clock signal, the frequency division circuit divides the reference clock signal into a standard time pulse signal, and the counting circuit counts the time pulse signal; an output end of the counting circuit is electrically connected with the central processor (11) through a control interface, the counting circuit sends a control signal to the central processor (11) when a counting value reaches a preset threshold value; and the central processor (11) sends a display control instruction to the display (2) through the video signal interface in response to the control signal.
6. The card-triggered medical case narrative analysis and training system based on cards according to claim 3, characterized in that: The master terminal (1) further comprises a prompting circuit, the prompting circuit comprises a driving circuit and a buzzer, an input end of the driving circuit is electrically connected with the central processor (11) through a control interface, and an output end of the driving circuit is electrically connected with a driving end of the buzzer; when the identification code of the key symptom card swiped by the student does not match the standard symptom combination stored in the symptom matching database, the central processor (11) outputs a control signal to the driving circuit through the control interface, and the driving circuit drives the buzzer to emit an alarm sound; when the matching is successful, the driving circuit drives the buzzer to emit a confirmation sound.
7. The card-triggered medical case narrative analysis and training system based on cards according to claim 1, characterized in that: The communication interface is electrically connected with the central processor (11), and the central processor (11) transmits the generated training report document to a remote server through the communication interface; Each medical record identification card in the medical record identification card group (7) is provided with a color identification layer on a card surface, and different disease systems adopt different color identifications; The cards in the key symptom card group (9) are divided into multiple types according to symptom categories, and the cards of each type adopt different color identifications.
8. The card-triggered medical case narrative analysis and training system based on cards according to claim 1, characterized in that: The audio processing module in the student-worn communication terminal (3) comprises an audio codec chip, and the wireless communication module is electrically connected with the audio codec chip; the microphone unit comprises a MEMS microphone, and a signal output end of the MEMS microphone is electrically connected with an audio input end of the audio codec chip.
9. The card-triggered medical case narrative analysis and training system based on cards according to claim 1, characterized in that: The display (2) adopts a 21.5-inch LED liquid crystal display, the resolution is 1920*1080 pixels, and the display is electrically connected with the main control terminal (1) through an HDMI video signal interface; the HDMI video signal interface transmits TMDS differential video signals and TMDS clock differential signals, and reads EDID information of the display through a bus.
10. The card-triggered medical case narrative analysis and training system based on cards according to claim 2, characterized in that: The RFID chip has a storage capacity of 1024 bytes; the storage area of the medical record identification card organizes data according to sectors, the first sector stores basic information of a patient, the second sector stores vital sign data, the third sector stores a past history, and the fourth sector stores auxiliary examination results; and the storage area of the patient narrative card stores an audio file index code.
Citation Information
Patent Citations
Cardiopulmonary examination integrated training system based on RFID electronic label
CN203232628U