Clinical nursing shift switching system and method
Through the clinical nursing shift transfer system, technical means such as standardized templates, automatic grasping mechanisms and responsibility clarity coefficients are used to solve the problems of duplication, omissions, and difficulty in tracing responsibility in clinical nursing shift transfers, significantly improving the efficiency and accuracy of shift transfers, and improving the quality of nursing and risk management capabilities.
Patent Information
- Application Number
- CN202510626397.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-15
- Publication Date
- 2025-06-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing clinical nursing shift transfer methods have problems such as duplication, omission or unclear expression, and lack of structured records and trajectory management, making it difficult to trace the content and responsibility of the shift transfer.
It provides a clinical nursing shift transfer system, including nurse-side module, patient-side module, doctor-side module, quality control management-side module and data analysis module. Through technical means such as standardized templates, automatic grabbing mechanism, voice-to-text, completeness verification, responsibility clarity coefficient and global shift transfer quality index, the efficiency and accuracy of shift transfer are improved.
Through structured templates and automatic grabbing mechanisms, the information quality is improved; the patient feedback consistency index and shift handover risk warning value are introduced to improve the transparency and risk management capabilities of shift handover quality; the responsibility clarity coefficient is generated to clarify operators and links, and reduce nursing disputes.
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Figure CN120164595A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and particularly to a clinical nursing handover system, method, electronic device and non-transitory computer-readable storage medium. Background Art
[0002] At present, in clinical nursing work, handover is an important guarantee for the continuity and safety of nursing work. At the present stage, the handover of clinical nurses mostly adopts a combination of oral handover and paper or electronic records.
[0003] However, since the handover content is mostly manually summarized and orally conveyed, problems such as information duplication, omission or unclear expression are likely to occur, affecting the comprehensive understanding of the patient's current situation by the oncoming nurses. Secondly, the handover process lacks structured records and track management. Once an error occurs, it is difficult to trace the handover content and the attribution of responsibility. Summary of the Invention
[0004] The present invention aims at the technical problems existing in the prior art, and provides a clinical nursing handover system, method, electronic device and non-transitory computer-readable storage medium that can improve the efficiency and accuracy of clinical nursing handover.
[0005] The technical solution for the present invention to solve the above technical problems is as follows: The present invention provides a clinical nursing handover system, which includes: A nurse end module, configured to input handover information through a standardized template, continuously visualize the handover from shift to shift, and dock with an electronic medical record system to automatically capture abnormal and real-time data of patients; A patient end module, configured to generate a two-dimensional code scanning interface for patients and their families to view nursing education, guidance and diagnosis and treatment routes, and feedback abnormal status through voice or graphical interface; A doctor end module, configured to synchronously display key medical parameters in the handover data for doctors to mark the risk level and trigger a secondary confirmation process; A quality control management end module, configured to record the timestamps, operators and content hash values of all handover operations, and generate a traceable responsibility clarity coefficient; A data analysis module, configured to calculate in real time a handover integrity score representing the integrity of handover information and a global handover quality index representing the handover quality.
[0006] Optionally, the nurse end module further includes: A structured information classification unit, configured to forcibly classify nursing content according to preset categories of condition changes, special treatments, and medication records; A voice-to-text unit, configured to identify medical terms in the nurse's voice input information and automatically fill them into corresponding fields; An identification generation unit for generating special identifications in real time during the handover of circuits; the special identifications include critical changes, adverse events, special diagnoses and treatments, unfinished treatments, and nursing care to be completed in this shift. An integrity verification unit for calculating missing items of handover information according to preset weights of each field, and locking the submission operation until supplementation is completed when the total score is lower than the threshold.
[0007] Optionally, the integrity verification unit is further configured to: Assign corresponding clinical importance weights to each handover field; Statistically calculate the total weight of the filled fields and calculate the ratio with the theoretical maximum weight value; When the ratio is lower than the preset threshold, highlight the missing fields and prohibit the submission of the handover information.
[0008] Optionally, the patient end module is further configured to: Convert professional terms in the nursing plan into graphic and text descriptions understandable by patients; Receive tagged feedback from patients on pain levels and treatment questions; Calculate the patient feedback consistency index after standardizing and aligning the patient feedback values with the original records.
[0009] Optionally, the patient feedback consistency index is calculated through the following steps: Extract the first parameters confirmed or modified by the patient; Obtain the second parameters of the same dimension data recorded by the nurse corresponding to the first parameters; Normalize the difference between the first parameter and the second parameter in each dimension to obtain the consistency rate; Calculate the average consistency rate of all dimensions to obtain the patient feedback consistency index; Wherein the patient feedback consistency index is expressed as: ; Wherein, is the patient feedback consistency index, is the second parameter of the nurse's record, is the first parameter confirmed or modified by the patient, is the number of parameters participating in the comparison. If is less than the first threshold, trigger an exception prompt and feedback the record to the nurse end module and the doctor end module.
[0010] Optionally, the doctor end module is further configured to: Receive the abnormal sign data of the patient sent by the nurse end module and the patient feedback consistency index sent by the patient end module; Annotate the emergency degree weight and clinical risk score for high-risk abnormal sign data; Sort the uncompleted plans of individual patients reminded by the nurse according to the emergency time, and set emergency reminders; Dynamically fuse the emergency degree weight, the clinical risk score, and the patient feedback consistency index to generate a handover risk warning value.
[0011] Optionally, the handover risk warning value is expressed as: ; Wherein, is the handover risk warning value, is the clinical risk score, is the patient feedback consistency index, is the emergency degree weight.
[0012] Optionally, the quality control management terminal module is further configured to: Verify the signature integrity of each handover operation according to the content hash value of each handover operation; Determine the time interval between each handover operation and the previous handover operation according to the timestamps of all handover operations; Determine the responsibility clarity coefficient according to the signature integrity, the time interval, and the total number of handover operations.
[0013] Optionally, the data analysis module is further configured to: Average the handover integrity score, the patient feedback consistency index, the handover risk warning value, and the responsibility clarity coefficient of each handover operation in the whole hospital to obtain the average handover integrity score, the average patient feedback consistency index, the average handover risk warning value, and the average responsibility clarity coefficient respectively; Perform weighted summation on the average handover integrity score, the average patient feedback consistency index, the average handover risk warning value, and the average responsibility clarity coefficient to obtain the global handover quality index.
[0014] The present invention also provides a clinical nursing handover method, and the method includes: Input handover information through a standardized template, continuously visualize the shift-to-shift handover, and dock with the electronic medical record system to automatically capture patient abnormalities and real-time data; Generate a two-dimensional code scanning interface for patients and their families to view nursing education, guidance, and diagnosis and treatment routes, and feedback abnormal status through voice or graphical interfaces; Synchronously display the key medical parameters in the handover data for doctors to mark the risk level and trigger a secondary confirmation process; Record the timestamps, operators, and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; Calculate the handover integrity score indicating the integrity of handover information and the global handover quality index indicating the quality of handover in real time.
[0015] In addition, to achieve the above object, the present invention also provides an electronic device, including: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby implementing a clinical nursing handover method as described above.
[0016] In addition, to achieve the above object, the present invention also provides a non-transitory computer-readable storage medium, in which a computer software program is stored, and when the computer software program is executed by a processor, a clinical nursing handover method as described above is implemented.
[0017] The beneficial effects of the present invention are as follows: (1) Through the structured template and automatic capture mechanism of the nurse terminal module, the present invention realizes the automatic classification and standardized input of key nursing information; uses the speech-to-text unit to recognize medical terms, reduces human omissions and expression ambiguities, and significantly improves the information quality; the integrity verification mechanism scores the missing items according to the field weights and forcibly prohibits submission before non-compliance, ensuring that all handover information is submitted.
[0018] (2) The patient terminal module of the present invention supports scanning the code to view the handover summary and can feedback subjective feelings or abnormal states in voice or graphic ways; the introduction of the patient feedback consistency index helps to early detect the deviation between the nurse's record and the actual experience; the doctor terminal synchronizes the nurse's handover data in real time and conducts risk assessment and secondary confirmation on key parameters, realizing multi-disciplinary collaboration.
[0019] (3) All handover operations of the present invention generate timestamps and operation hash values, and in combination with the signature integrity parameter, when a break in the responsibility chain or information loss is found, the system can automatically perform link backtracking and anomaly prompts, clarifying the operator and the link; effectively improving the risk management ability and reducing nursing disputes. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 Is a scenario diagram of a clinical nursing handover method provided by the present invention; Figure 2 Is a structural schematic diagram of a clinical nursing handover system provided by the present invention; Figure 3 Is a flowchart of a clinical nursing handover method provided by the present invention; Figure 4 Is a hardware structural schematic diagram of a possible electronic device provided by the present invention; Figure 5 Is a hardware structural schematic diagram of a possible computer-readable storage medium provided by the present invention. Detailed implementation manners
[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0022] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.
[0023] In the description of the present invention, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in the present invention is not necessarily construed as being more preferred or having more advantages than other embodiments. In order for any person skilled in the art to implement and use the present invention, the following description is given. In the following description, details are set forth for the purpose of explanation. It should be understood that those skilled in the art can realize that the present invention can also be implemented without using these specific details. In other instances, well-known structures and processes will not be elaborated in detail to avoid unnecessary details from obscuring the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope that conforms to the principles and features disclosed in the present invention.
[0024] Please refer to Figure 1 , Figure 1 which is a scenario diagram of a clinical nursing handover method provided by the present invention. As Figure 1 shown, the terminal and the server are connected through a network, for example, through a wired or wireless network connection, etc. Among them, the terminal may include, but is not limited to, portable terminals such as mobile phones and tablets installed with various network platform applications, as well as fixed terminals such as computers, inquiry machines, and advertising machines. Among them, the server provides various business services for users, including a service push server, a user recommendation server, etc.
[0025] It should be noted that Figure 1The scenario diagram of a clinical nursing handover method shown is only an example. The terminals, servers, and application scenarios described in the embodiments of the present invention are for more clearly explaining the technical solutions of the embodiments of the present invention, and do not limit the technical solutions provided by the embodiments of the present invention. Those of ordinary skill in the art know that with the evolution of the system and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems.
[0026] Among them, the terminal can be used for: Inputting handover information through a standardized template, continuously visualizing the handover between shifts, and docking with the electronic medical record system to automatically capture patient abnormalities and real-time data; Generating a QR code scanning interface for patients and their families to view nursing education, guides, and treatment routes, and providing feedback on abnormal status through voice or graphical interfaces; Synchronously displaying key medical parameters in the handover data for doctors to mark the risk level and trigger a secondary confirmation process; Recording the timestamps, operators, and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; Real-time calculating a handover integrity score representing the integrity of the handover information and a global handover quality index representing the handover quality.
[0027] Please refer to Figure 2 , Figure 2 which is a schematic structural diagram of a clinical nursing handover system provided by the present invention.
[0028] As Figure 2 shown, a clinical nursing handover system proposed by an embodiment of the present invention includes: A nurse terminal module 201, which is used for inputting handover information through a standardized template, continuously visualizing the handover between shifts, and docking with the electronic medical record system to automatically capture patient abnormalities and real-time data; A patient terminal module 202, which is used for generating a QR code scanning interface for patients and their families to view nursing education, guides, and treatment routes, and providing feedback on abnormal status through voice or graphical interfaces; A doctor terminal module 203, which is used for synchronously displaying key medical parameters in the handover data for doctors to mark the risk level and trigger a secondary confirmation process; A quality control management terminal module 204, which is used for recording the timestamps, operators, and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; A data analysis module 205, which is used for real-time calculating a handover integrity score representing the integrity of the handover information and a global handover quality index representing the handover quality.
[0029] In some embodiments, the nurse terminal module 201 further includes: A structured information classification unit for forcibly classifying nursing content according to preset categories of condition changes, special treatments, and medication records; A voice-to-text unit for identifying medical terms in the nurse's voice input information and automatically filling them into the corresponding fields; An identification generation unit for generating special identifications in real time during the handover process; the special identifications include critical changes, adverse events, special diagnoses and treatments, unfinished treatments, and nursing care to be completed in this shift; An integrity verification unit for calculating the missing items of the handover information according to the preset weights of each field, and locking the submission operation until it is completed when the total score is lower than the threshold.
[0030] Specifically, the role of the structured information classification unit is to forcibly classify the handover content filled in by the nurse. The classification method is to divide the information into categories such as "condition changes", "special treatments", and "medication records" according to preset standards, avoiding content mixing and missing items, making the handover information clearer, more complete, and unified, and facilitating subsequent reference and analysis.
[0031] The role of the voice-to-text unit is to automatically identify the nurse's voice input content as text. Its special function is to have the ability to identify medical terms, which can intelligently match and automatically fill professional vocabulary into the handover fields, improve the input efficiency, reduce manual operations, and at the same time reduce spelling mistakes and expression deviations.
[0032] The role of the integrity verification unit is to automatically score the integrity of the handover content; the mechanism is that each handover field has a weight; the system calculates the scores of the filled fields and compares them with the theoretical total score; when the total score is lower than the set threshold, the system locks the submission function and prompts the nurse to complete the missing content. Thus, it avoids the missing of important information and controls the quality of handover from the source.
[0033] In some embodiments, the integrity verification unit is further used for: Assigning corresponding clinical importance weights to each handover field; Statistical sum of the weights of the filled fields and calculating the ratio with the theoretical maximum weight value; When the ratio is lower than the preset threshold, highlighting the missing fields and prohibiting the submission of handover information.
[0034] Specifically, for each handover field such as vital signs, allergy history, and medication adjustment, a weight value is set according to its key degree in clinical practice. Fields with high weights represent that they have a great impact on patient safety and handover quality and need to be focused on.
[0035] The system can automatically identify the fields filled in by the nurse, calculate the sum of the weights corresponding to these fields, and calculate the ratio with the theoretical maximum total weight. This ratio reflects the completeness of the current handover content in terms of "coverage of important information".
[0036] If the ratio is lower than the system preset threshold (such as 80%), highlight the important fields that have not been filled, lock the submission button, and prohibit the upload of handover information to ensure that the information is completed before submission. This mechanism ensures not only "filling enough" but also "filling the key points correctly", effectively improving the practicality and clinical value of the handover content.
[0037] In some embodiments, the patient end module 202 is further configured to: Convert the professional terms in the care plan into graphic and text descriptions that can be understood by the patient; Receive the labeled feedback of the patient on the pain level and treatment questions; Calculate the patient feedback consistency index after standardizing and aligning the patient feedback values with the original records.
[0038] Specifically, the system can automatically convert the professional terms (such as "intravenous fluid replacement", "wound dressing change") in the care plan into concise graphic and text descriptions, enabling patients or their families to intuitively understand the care content and reducing information barriers.
[0039] The patient can give one-key labeled feedback on the pain level (such as "mild", "moderate", "severe") and care questions (such as "medication not explained"), improving the feedback efficiency and adapting to the usage habits of different populations (such as elderly patients).
[0040] The system can standardize and align the patient feedback results with the nurse's original records (i.e., quantitatively matching subjective descriptions), and further calculate the "patient feedback consistency index" to evaluate whether the nurse's records accurately reflect the patient's true state. When the consistency is low, the system will feedback to the nurse end and the doctor end to remind them to pay attention to possible information deviations or insufficient communication.
[0041] The patient end module improves the transparency and interactivity of the handover quality through a three-step closed-loop of term simplification + feedback collection + difference comparison, which helps to achieve a truly "patient-centered" care handover.
[0042] In some embodiments, the patient feedback consistency index is calculated through the following steps: Extract the first parameter confirmed or modified by the patient; Obtain the second parameter of the same dimension data of the nurse's record corresponding to the first parameter; Normalize the difference between the first parameter and the second parameter of each dimension to obtain the consistency rate; Calculate the average consistency rate of all dimensions to obtain the patient feedback consistency index; Where the patient feedback consistency index is expressed as: ; Wherein, is the patient feedback consistency index, is the second parameter recorded by the nurse, is the first parameter confirmed or modified by the patient, is the number of parameters involved in the comparison. If is less than the first threshold, an exception prompt is triggered and the record is fed back to the nurse terminal module and the doctor terminal module.
[0043] Specifically, this formula is used to calculate the patient feedback consistency index, the purpose of which is to evaluate the degree of consistency between the information in the nurse's handover record and the actual perception / confirmation of the patient or family members, so as to discover information omissions, misunderstandings or potential risks.
[0044] is the patient feedback consistency index, which represents the average level of consistency between the nurse's record and the patient's feedback among all comparison parameters. The value range is [0,1], and the closer to 1, the higher the consistency. is the number of parameters involved in the comparison, which refers to the total number of nursing items that need to be checked by the patient, such as pain score, eating situation, sleep status, allergic reaction, drug reaction, etc. is the th nursing parameter value recorded by the nurse. After being standardized in the system, for example, the pain score recorded by the nurse is 3 (standardized to 0.3), indicating that the nurse believes the patient has moderate pain. is the feedback value of the patient or family member on the th nursing parameter. For example, the patient feedback that the actual pain score is 7 (standardized to 0.7), which is different from the nurse's record. represents the absolute value of the difference between the th nursing record and the patient's feedback. The larger it is, the greater the deviation.
[0045] For each parameter , through calculate the consistency score (agreement rate); The average consistency score is . If ; Among them is the set first threshold. For example, if it is 0.85, it is considered that there are potential miscommunications, understanding deviations or execution errors.
[0046] When the patient feedback consistency index is less than the preset threshold , the system performs the following operations: Exception prompt trigger: Immediately pop up a prompt on the nurse terminal and doctor terminal interfaces, indicating that there are inconsistent parameter items. Highlight the difference fields: The system automatically locates all Items (such as the difference being greater than 0.2) are highlighted. Shift handover freeze: The nurse-side handover process is paused, and relevant items need to be reconfirmed or explained before submission. Doctor synchronous intervention: The doctor-side receives a synchronous reminder, indicating whether the abnormal feedback items in the review affect the treatment plan.
[0047] Suppose there are 4 parameters to be checked, namely:
[0048] The calculation process is as follows: ; Among them, if is set, then , triggering a system exception prompt; The system prompts the nurse to review the "pain score" item and prompts the doctor to pay attention to the deviation between the actual pain of the patient and the record.
[0049] In some embodiments, the doctor-side module 203 is further configured to: Receive the abnormal physical sign data of the patient sent by the nurse-side module and the patient feedback consistency index sent by the patient-side module; Mark the emergency degree weight and clinical risk score for the high-risk abnormal physical sign data; Sort the uncompleted plans of a single patient reminded by the nurse according to the emergency time and set an emergency reminder; Dynamically fuse the emergency degree weight, clinical risk score, and patient feedback consistency index to generate a shift handover risk warning value.
[0050] In some embodiments, the shift handover risk warning value is expressed as: ; Among them, is the shift handover risk warning value, is the clinical risk score, is the patient feedback consistency index, is the emergency degree weight.
[0051] Specifically, this formula is used for the calculation of the shift handover risk warning value and is one of the key bases for jointly triggering a consultation / intervention by the "doctor-side module" and the "data analysis module" in this shift handover system.
[0052] is the shift handover risk warning value, reflecting the possible overall nursing risk or information distortion risk in the current shift handover information. Its value range is [0,1], and the higher the value, the greater the risk, and it may require the doctor to intervene or initiate a consultation.
[0053] It is the clinical risk score of abnormal physical sign data evaluated by doctors. It is obtained by the doctor's preliminary intelligent evaluation of the patient's physical signs (such as heart rate, breathing, body temperature, etc.) automatically synchronized by the system. For example, abnormal body temperature + shortness of breath can be rated as 0.8. It is the patient feedback consistency index, which reflects the difference between the nurse's record and the patient's / family's perception, with 1 indicating complete consistency and 0 indicating complete inconsistency. Is the urgency weight, which is used to control the relative influence of "doctor's clinical judgment" and "patient feedback consistency" in risk assessment. The range is [0,1]. The larger the value, the more biased towards the doctor's subjective assessment. If β=1, it completely relies on the doctor's risk judgment; if β=0, it completely relies on the patient's feedback consistency.
[0054] is the clinical risk on the doctor side, with a weight of , reflecting the high-risk symptoms clinically identified by doctors. is the information consistency loss risk, with a weight of , reflecting the patient's trust in the nurse's handover content or the degree of data difference. The larger the value, the worse the consistency, that is, the more patient feedback is inconsistent with the nurse's records, which is a potential risk.
[0055] If the calculation result satisfy: ; in, If it is the second threshold set by the system (for example, 0.7), the following actions are triggered: A pop-up window will pop up on the doctor's end to remind him of "high-risk handover record", requiring a second confirmation of abnormal physical signs; The "Submit" button on the nurse's end is frozen, and a prompt is required for confirmation by a doctor; Triggering the handover consultation mode: the head nurse / quality control supervisor at the next level can be linked to review; The shift handover record is marked as "yellow / red warning" status, and the system automatically records the trigger time and responder.
[0056] Assume that the values of the parameters are as follows: , indicating that the doctor believes that the patient is at risk of moderate to severe fever and hypotension; , indicating that the consistency between nurses’ records and patients’ feedback is low; , indicating that the current emergency night shift is biased towards doctor judgment; , indicating the system preset risk intervention threshold.
[0057] ; Among them, the result R = 0.715 < 0.75. Although it is close to the threshold, the alarm is not triggered; If the doctor's score rises to 0.95, then: , the early warning process will be immediately started.
[0058] Specifically, the system can extract the estimated completion time or emergency level of each nursing task. For the tasks that have not been completed, they are sorted according to the emergency level (such as approaching the drug injection time, dressing change time limit). The purpose is to let the nurse give priority to the tasks with high time sensitivity and reduce the risk of delay.
[0059] If the system detects that a certain task has timed out or is approaching timeout, it will immediately: pop up a red warning reminder on the nurse side, voice broadcast or vibration reminder (such as on a mobile device) to ensure that the nurse can know in time and give priority to completing this task during the handover or bed rounds.
[0060] In summary, the present invention has controllability and can cope with different scenarios by adjusting the weights, such as the emergency night shift and the daytime chronic disease. The present invention has strong linkage and dynamically integrates the subjective risk assessment and the objective feedback consistency. The present invention has forward-looking early warning, sets a flexible threshold for potential risks, and actively intervenes to avoid missing management or mistransmission.
[0061] In some embodiments, the quality control management end module is further used for: Verify the signature integrity of each handover operation according to the content hash value of each handover operation; Determine the time interval between each handover operation and the previous handover operation according to the timestamps of all handover operations; Determine the responsibility clarity coefficient according to the signature integrity, time interval and the total number of handover operations.
[0062] Among them, the responsibility clarity coefficient can be expressed as: ; Among them, is the responsibility clarity coefficient, is the total number of handover operations, is the th signature integrity of the handover, is the time interval from the previous handover, Less than the theoretical lower limit value of the responsibility clarity coefficient indicates that some operations are missing or the information is broken, and the system will perform a link backtracking.
[0063] Specifically, is the responsibility clarity coefficient, which is used to measure whether the handover record is complete, continuous and traceable during the whole process of the handover. The higher its value, the clearer the responsibility chain. is the total number of handover operations, which is the number of handover records occurring during the nursing process of a single patient statistically by the system (including operations by nurses, doctors, quality control personnel, etc.). is the signature integrity of the
[0064] The formula is essentially: the weighted average of signature integrity × handover interval transparency among all handover records. In
[0065] determines whether this record is true and valid; after taking the overall average, the "clarity index" of the global handover chain is obtained.
[0065] The system will preset a theoretical lower limit value of responsibility clarity The system prompts: "Missing / broken handover chain information is found"; In the quality control management module, the time stamp and hash record are called to trace back the responsibility chain; Highlight the abnormal Notify the corresponding personnel to supplement the description or reconfirm the handover matters.
[0066] Suppose the records during the nursing process of a patient are as follows:
[0067] The calculation process is as follows: The system standardizes
[0068] In summary, the present invention takes into account both data integrity and handover timeliness, has the ability to automatically identify "false records", supports "traceable chain of care" involving multiple roles and multiple terminals, and is helpful for accident investigation and responsibility assignment.
[0069] In some embodiments, the data analysis module 205 is further configured to: Average the handover integrity score, patient feedback consistency index, handover risk warning value, and responsibility clarity coefficient for each handover operation in the whole hospital to obtain the average handover integrity score, average patient feedback consistency index, average handover risk warning value, and average responsibility clarity coefficient respectively; Perform a weighted sum of the average handover integrity score, average patient feedback consistency index, average handover risk warning value, and average responsibility clarity coefficient to obtain the global handover quality index.
[0070] Among them, the global handover quality index can be expressed as: ; Among them, is the global handover quality index, is the average handover integrity score of the whole hospital's handovers, is the average patient feedback consistency index of the whole hospital's handovers, is the average handover risk warning value of the whole hospital's handovers, is the average responsibility clarity coefficient of the whole hospital's handovers, are the first weight, second weight, third weight, and fourth weight respectively.
[0071] Specifically, this formula is used for calculating the global handover quality index in this clinical nursing handover system and is the core index for evaluating the quality level of nursing handovers in the entire hospital.
[0072] is the global handover quality index, and the higher it is, the better the quality. is the average handover integrity score of the whole hospital's handovers, that is, the average integrity score of the structured handover information at all nurse terminals. is the average patient feedback consistency index of the whole hospital's handovers, that is, the average of the consistency between the patient confirmation content and the nurse's record in all handover records. is the average handover risk warning value of the whole hospital's handovers, that is, the average of the calculated values of the conflict weights of the doctor's risk assessment and feedback in all records. is the average responsibility clarity coefficient of the whole hospital's handovers, that is, the average value of the integrity of the responsibility chain in all handover records.
[0073] The four items respectively represent information structuring and integrity, the consistency and communication quality between nurses' records and patients' subjective experiences, the lower the overall risk level, the better (reverse scoring for risks), and whether the responsibility chain in the handover process is traceable. Generally speaking, Approaching 1 indicates that the system runs stably, efficiently, and transparently; the closer to 0, the more fragmented the information, the higher the risk, and the more difficult it is to hold someone accountable.
[0074] The system can set a quality threshold , when Q≥0.85, the level is excellent, indicating a high-quality handover system; when 0.7≤Q<0.85, the level is good, indicating that the handover quality is acceptable but needs continuous optimization; when Q<0.7, the level is poor, indicating that there are serious problems in the handover and system intervention is required.
[0075] When (such as 0.7), the system can trigger: reminding the nursing department to re-comb the handover process; recommending to increase the training on handover templates; automatically reporting to the hospital-level quality control department.
[0076] Suppose are 0.88, 0.75, 0.22, and 0.81 respectively, are 0.3, 0.25, 0.25, and 0.2 respectively.
[0077] Substitute into the calculation: ; It means that Q is close to the upper limit of the good interval, indicating that the overall system runs well, but there is still room for improvement in the consistency of patient feedback.
[0078] Please refer to Figure 3 , which provides a flowchart of a clinical nursing handover method of the present invention, including the following steps: Step 301: Input handover information through a standardized template, continuously visualize the handover shift by shift, and dock with the electronic medical record system to automatically capture abnormal and instant data of patients; Step 302: Generate a QR code scanning interface for patients and their families to view nursing education, guidance, and diagnosis and treatment routes, and feedback abnormal status through voice or graphical interfaces; Step 303: Synchronously display key medical parameters in the handover data for doctors to mark the risk level and trigger a secondary confirmation process; Step 304: Record the timestamps, operators, and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; Step 305: Calculate in real time the handover integrity score representing the integrity of handover information and the global handover quality index representing the handover quality.
[0079] It should be noted that for the specific embodiments and beneficial effects of the above steps 301-305, reference may be made to the specific descriptions of modules 201-205 above, which will not be elaborated here.
[0080] Please refer to Figure 4 , Figure 4 which is a schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. As Figure 4 shown, an embodiment of the present invention provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored on the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented: Input handover information through a standardized template, continuously visualize the shift handover, and dock with the electronic medical record system to automatically capture patient abnormalities and real-time data; Generate a two-dimensional code scanning interface for patients and their families to view nursing education, guidance, and treatment routes, and feedback abnormal status through voice or graphical interfaces; Synchronously display key medical parameters in the handover data for doctors to mark risk levels and trigger a secondary confirmation process; Record the timestamps, operators, and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; Real-time calculate a handover integrity score representing the integrity of handover information and a global handover quality index representing the quality of handover.
[0081] Please refer to Figure 5 , Figure 5 which is a schematic diagram of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention. As Figure 5 shown, this embodiment provides a computer-readable storage medium 500, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented: Input handover information through a standardized template, continuously visualize the shift handover, and dock with the electronic medical record system to automatically capture patient abnormalities and real-time data; Generate a two-dimensional code scanning interface for patients and their families to view nursing education, guidance, and treatment routes, and feedback abnormal status through voice or graphical interfaces; Synchronously display key medical parameters in the handover data for doctors to mark risk levels and trigger a secondary confirmation process; Record the timestamps, operators, and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; Real-time calculate a handover integrity score representing the integrity of handover information and a global handover quality index representing the quality of handover.
[0082] It should be noted that in the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.
[0083] Those skilled in the art should understand that the embodiments of the present invention can be provided as a system, a method, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0084] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a system for implementing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.
[0085] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction system that implements the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.
[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.
[0087] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.
[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.
Claims
1. A clinical nursing handover system, characterized in that: The system comprises: The nurse-side module is used to input shift handover information through standardized templates, continuously visualize shift handovers, and connect with the electronic medical record system to automatically capture abnormal and real-time patient data; The patient-side module is used to generate a QR code scanning interface for patients and their families to view nursing education, guidance, and diagnosis and treatment routes, and to provide feedback on abnormal conditions through voice or graphical interfaces; The doctor-side module is used to synchronously display key medical parameters in the handover data, allowing doctors to mark risk levels and trigger a secondary confirmation process; The quality control management module is used to record the timestamps, operators and content hash values of all handover operations, and generate a traceable responsibility clarity coefficient; The data analysis module is used to calculate in real time the handover integrity score representing the integrity of the handover information and the global handover quality index representing the handover quality.
2. The clinical nursing handover system according to claim 1, characterized in that: The nurse-side module also includes: The structured information classification unit is used to compulsorily classify nursing content according to preset categories of disease changes, special treatments, and medication records; A speech-to-text unit that recognizes medical terms in nurses’ voice input and automatically fills them into corresponding fields; An identification generating unit is used to generate special identification in real time during the handover process; the special identification includes critical changes, adverse events, special diagnosis and treatment, unfinished treatment, and nursing that needs to be completed in this shift; The integrity check unit is used to calculate the missing items of the handover information according to the preset weights of each field. When the total score is lower than the threshold, the submission operation is locked until the supplement is completed.
3. The clinical nursing handover system according to claim 2, characterized in that: The integrity checking unit is also used for: Assign corresponding clinical importance weights to each handover field; Count the total weight of the filled fields and calculate the ratio with the theoretical maximum weight value; When the ratio is lower than a preset threshold, the missing fields are highlighted and submission of the shift handover information is prohibited.
4. The clinical nursing handover system according to claim 3, characterized in that: The patient-side module is also used for: Translate the technical terms in the care plan into graphic descriptions that the patient can understand; Receive labeled feedback from patients on pain levels and management questions; The patient feedback consistency index was calculated after the patient feedback values were standardized and aligned with the original records.
5. The clinical nursing handover system according to claim 4, characterized in that: The patient feedback consistency index is calculated by the following steps: Extracting a first parameter confirmed or modified by the patient; Obtain a second parameter of the same dimension data recorded by the nurse corresponding to the first parameter; Normalizing the difference between the first parameter and the second parameter in each dimension to obtain a consistency rate; Calculate the average consistency rate of all dimensions to obtain the patient feedback consistency index; The patient feedback consistency index is expressed as: ; in, is the patient feedback consistency index, is the second parameter recorded by the nurse, It is the first parameter confirmed or modified by the patient. is the number of parameters involved in the comparison. If When it is less than the first threshold, an abnormal prompt is triggered and the record is fed back to the nurse-side module and the doctor-side module.
6. The clinical nursing handover system according to claim 5, characterized in that: The doctor-side module is also used for: Receiving the abnormal vital sign data of the patient sent by the nurse-side module and the patient feedback consistency index sent by the patient-side module; Label the urgency weight and clinical risk score for high-risk abnormal signs data; sorting the unfinished plans of individual patients reminded by the nurse according to the urgency time and setting emergency reminders; The urgency weight, the clinical risk score and the patient feedback consistency index are dynamically integrated to generate a shift handover risk warning value.
7. The clinical nursing handover system according to claim 6, characterized in that: The shift handover risk warning value is expressed as: ; in, is the shift risk warning value, is the clinical risk score, is the patient feedback consistency index, is the urgency weight.
8. The clinical nursing handover system according to claim 7, characterized in that: The quality control management end module is also used for: Verify the signature integrity of each handover operation based on the content hash value of each handover operation; According to the timestamps of all handover operations, determine the time interval between each handover operation and the previous handover operation; A responsibility clarity coefficient is determined based on the signature integrity, the time interval, and the total number of handover operations.
9. The clinical nursing handover system according to claim 8, characterized in that: The data analysis module is also used for: The handover integrity score, patient feedback consistency index, handover risk warning value and responsibility clarity coefficient of each handover operation in the hospital were averaged to obtain the average handover integrity score, average patient feedback consistency index, average handover risk warning value and average responsibility clarity coefficient respectively; The average handover integrity score, the average patient feedback consistency index, the average handover risk warning value and the average responsibility clarity coefficient are weighted and summed to obtain the global handover quality index.
10. A clinical nursing handover method, characterized in that: The method comprises: The handover information is input through a standardized template, and the handover between shifts is continuously visualized, and it is connected to the electronic medical record system to automatically capture abnormal and real-time data of patients; Generate a QR code scanning interface for patients and their families to view nursing education, guidance, and diagnosis and treatment routes, and provide feedback on abnormal conditions through voice or graphical interfaces; Synchronously display key medical parameters in the handover data for doctors to mark risk levels and trigger a secondary confirmation process; Record the timestamps, operators and content hash values of all handover operations to generate a traceable responsibility clarity coefficient; The handover integrity score indicating the completeness of the handover information and the global handover quality index indicating the handover quality are calculated in real time.
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