ObjectiveTo describe the medical services quality and safety of rehabilitation medicine departments in general hospitals and rehabilitation hospitals in 2022 from the aspects of structure, link and outcome quality. MethodsThrough the National Clinical Improvement System of the National Health Commission, all secondary and above general hospitals and rehabilitation hospitals were investigated in 2022, the relevant data from 7 250 hospitals, including traditional Chinese medicine hospitals and integrated traditional Chinese and Western medicine hospitals in 2022. A total of 3 153 sampling hospitals that equipped with rehabilitation medicine wards were included for analysis. ResultsAmong the 7 250 general hospitals surveyed this year, only 3 277 equipped with rehabilitation wards. In general hospitals, the average number of physicians per bed in 56.46% hospitals, the average number of rehabilitation therapists per bed in 77.67% hospitals, and the average number of nurses per bed in 51.18% hospitals did not meet the national requirements. The rates of early rehabilitation intervention were 13.98%, 20.82% and 21.36% respectively in the department of orthopedics, department of neurology and department of intensive care in general hospitals. The average activity of daily living improvement rate of discharged patients from rehabilitation departments of general hospitals was 77.69%, and that of discharged patients from rehabilitation specialized hospitals was 66.78%. ConclusionThere are insufficient allocation of wards and facility scales in the department of rehabilitation medicine, a shortage of human resources for rehabilitation services, inadequate integration of rehabilitation services with clinical services, and there is still scope for enhancing the effect and efficiency of rehabilitation services. It is recommended to expand the scale of rehabilitation services and improve discipline construction; increase the quantity and quality of rehabilitation human resources; incorporate rehabilitation services into the health service system; establish and modify clinical rehabilitation guidelines and technical specifications; and construct a rehabilitation medical information platform.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.

Objective To develop a multi-parameter gait kinematics analysis and measurement system using artificial intelligence key point detection technology(AI system),and verify the effectiveness of the measurement.Methods A total of ten inpatients with abnormal gait were selected in Peking University Third Hospital from April to Oc-tober,2022,while ten normal subjects were recruited.Their gait data were measured using GaitWatch and AI sys-tem simultaneously.Results Compared with those from GaitWatch,the mean absolute error(MAE)of stride frequency,gait period,stride length and stride speed were little from AI system,with high accuracy(>95%)and good consistency(ICC>0.75);however,MAE of hip,knee and ankle angles was larger,and correlation was satisfactory(r>0.60).Conclusion The novel gait analysis system is accurate and consistent in measuring spatiotemporal gait parameters,but not well in measuring joint angles,which need to be modified.

Objective To explore the perceptions,diagnostic criteria and clinical management strategies of joint surgeons regarding perioperative knee extension lag in patients with total knee arthroplasty.Methods From June to July,2024,17 joint surgeons from Peking University the First Hospital and Peking University the Third Hospital were selected as research subjects using purposive and convenience sampling.Semi-structured in-terviews were conducted.The interview data were analyzed and themes were summarized using NVivo 12.0 soft-ware.Results A total of four themes and ten sub-themes emerged from the study.Theme 1 was the basics related to knee exten-sion lag,including definition,diagnosis and incidence.Theme 2 was the attitudes of joint surgeons towards knee extension lag,including clinical value and importance.Theme 3 was the impact of knee extension lag on postop-erative functional outcomes,including the impact of preoperative knee extension lag and postoperative knee ex-tension lag on functional recovery.Theme 4 was management strategies for knee extension lag,including preop-erative rehabilitation,surgical strategies and postoperative management.Conclusion The standardized diagnosis and treatment of knee extension lag are still required further research.It is rec-ommended that relevant content be added and emphasized in the training of joint surgeons and the early rehabili-tation intervention of rehabilitation practitioners to improve the diagnosis and treatment of knee extension lag and to make it a useful addition to the perioperative management of total knee arthroplasty.

Objective To develop a multi-parameter gait kinematics analysis and measurement system using artificial intelligence key point detection technology(AI system),and verify the effectiveness of the measurement.Methods A total of ten inpatients with abnormal gait were selected in Peking University Third Hospital from April to Oc-tober,2022,while ten normal subjects were recruited.Their gait data were measured using GaitWatch and AI sys-tem simultaneously.Results Compared with those from GaitWatch,the mean absolute error(MAE)of stride frequency,gait period,stride length and stride speed were little from AI system,with high accuracy(>95%)and good consistency(ICC>0.75);however,MAE of hip,knee and ankle angles was larger,and correlation was satisfactory(r>0.60).Conclusion The novel gait analysis system is accurate and consistent in measuring spatiotemporal gait parameters,but not well in measuring joint angles,which need to be modified.

Objective To explore the perceptions,diagnostic criteria and clinical management strategies of joint surgeons regarding perioperative knee extension lag in patients with total knee arthroplasty.Methods From June to July,2024,17 joint surgeons from Peking University the First Hospital and Peking University the Third Hospital were selected as research subjects using purposive and convenience sampling.Semi-structured in-terviews were conducted.The interview data were analyzed and themes were summarized using NVivo 12.0 soft-ware.Results A total of four themes and ten sub-themes emerged from the study.Theme 1 was the basics related to knee exten-sion lag,including definition,diagnosis and incidence.Theme 2 was the attitudes of joint surgeons towards knee extension lag,including clinical value and importance.Theme 3 was the impact of knee extension lag on postop-erative functional outcomes,including the impact of preoperative knee extension lag and postoperative knee ex-tension lag on functional recovery.Theme 4 was management strategies for knee extension lag,including preop-erative rehabilitation,surgical strategies and postoperative management.Conclusion The standardized diagnosis and treatment of knee extension lag are still required further research.It is rec-ommended that relevant content be added and emphasized in the training of joint surgeons and the early rehabili-tation intervention of rehabilitation practitioners to improve the diagnosis and treatment of knee extension lag and to make it a useful addition to the perioperative management of total knee arthroplasty.

Objective To investigate the reliability and validity of the assessment tools of Brief ICF Core Sets for Arthroplasty of Knee Osteoarthritis in Perioperative Period(ICSAKOPP). Methods From May,2022 to April,2023,320 patients undergoing knee arthroplasty were selected in Peking University Third Hospital,China-Japan Friendship Hospital,Peking University First Hospital and Chinese PLA General Hospital.Trained assessors used Brief ICSAKOPP to evaluate all enrolled patients before arthroplasty,three days(±one day)after arthroplasty,three weeks(±one week)after arthroplasty,and three months(±one month)after ar-throplasty.Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)scores were recorded at the same time.Five professionals were asked to score all the items of Brief ICSAKOPP,and the content validity index(CVI)was caculated. Results A total of 64 cases were dropped down.CVI of all the items of the Brief ICSAKOPP were above 0.8,with a av-erage CVI of the scale of 0.938.The Cronbach's α coefficient of the Brief ICSAKOPP was 0.813.There was a moderate correlation(r=0.681,P<0.001)between the overall Brief ICSAKOPP and WOMAC scores,as well as body functional dimension score(r=0.668,P<0.001)and activities and participation dimension score(r=0.657,P<0.001). Conclusion Brief ICSAKOPP is good in content validity,internal consistency reliability and criterion validity.