OBJECTIVE To standardize the main processes and related technical links of the clinical comprehensive evaluation of drugs， and provide guidance and reference for improving the quality of comprehensive evaluation evidence and its transformation and application value. METHODS The construction of Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs was based on the standard guideline formulation method of the World Health Organization （WHO）， strictly followed the latest definition of guidelines by the Institute of Medicine of the National Academy of Sciences of the United States， and conformed to the six major areas of the Guideline Research and Evaluation Tool Ⅱ. Delphi method was adopted to construct the research questions； research evidence was established by applying the research methods of evidence-based medicine. The evidence quality classification system of the Chinese Evidence-Based Medicine Center was adopted for evidence classification and evaluation. The recommendation strength was determined by the recommendation strength classification standard formulated by the Oxford University Evidence-Based Medicine Center， and the recommendation opinions were formed through the expert consensus method. RESULTS & CONCLUSIONS The Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs covers 4 major categories of research questions， including topic selection， evaluation implementation， evidence evaluation， and application and transformation of results. The formulation of this guideline has standardized the technical links of the entire process of clinical comprehensive evaluation of drugs， which can effectively guide the high-quality and high-efficient development of this work， enhance the standardized output and transformation application value of evaluation evidence， and provide high-quality evidence support for the scientific decision-making of health and the rationalization of clinical medication.

Objective:To analyze the cost-effectiveness of high-flux hemodialysis compared to low-flux hemodialysis in the treat-ment of End-Stage Renal Disease(ESRD)patients.Methods:Based on a literature review,a cost-effectiveness analysis model was established,using the Incremental Cost-Effectiveness Ratio(ICER)as the outcome indicator to evaluate the economic value of high-flux versus low-flux hemodialysis.One-way sensitivity analysis and probabilistic sensitivity analysis were conducted to further assess the robustness of the results.Results:In the treatment of ESRD patients,compared to low-flux hemodialysis,the ICER of high-flux hemodialysis was 234 882 yuan per QALY.The key factors influencing the model results were the cost discount rate,ef-fect discount rate,utility value of high-flux hemodialysis,and treatment costs.Conclusion:Compared to low-flux hemodialysis,high-flux hemodialysis demonstrates a cost-effectiveness advantage at a willingness-to-pay threshold of three times GDP per capita.

With the rapid development of medical big data and artificial intelligence,Clinical Prediction Models(CPMs)have become pivotal tools for disease prevention,diagnosis,and treatment.Current research predominantly focuses on the economic analysis of pharmacological or public health interventions,yet a comprehensive methodological framework for the economic evaluation of CPMs has been notably absent.The Guidelines for Economic Evaluation of Clinical Prediction Models(hereafter the Guidelines),jointly initiated by the Chinese Research Hospital Association and Peking University,Tsinghua University,and Capital Medical University,adheres to the WHO Handbook for Guideline Development and the Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards.A multidisciplinary collaboration,including a steering committee,expert panel,secretariat,and external review group,was established to develop the guideline following evidence-based principles and procedures.Consensus recommendations were formulated through the Delphi method.It describes the background,objectives,target group,and the development methodology and process,ensuring the entire compilation process of the Guidelines is transparent and standardized.Through comprehensive evidence retrieval,systematic evidence appraisal,and a scientific approach to forming recommendations,the scientific rigor and validity of the Guidelines were further enhanced.

Our study aims at systematically summarizing and evaluating the applications of digital intelligence technologies in the field of rare disease medical care insurance now and in the future and at constructing a conceptual framework for the digital powered mechanism for the medical care insurance for rare diseases. By using Chinese keywords of " rare disease" " medical insurance"" artificial intelligence"" prediction model"" machine learning"" big data"" algorithm" and their English equivalents, we searched the databases of PubMed, Embase, Web of Science, CNKI, Wanfang, and VIP, collected relevant literature, and decided the criteria of inclusion and exclusion. The finding of our study shows that medical care insurance mechanism of rare disease in China faces significant challenges in drug accessbility and the funding sustainability. Meanwhile, our study shows that the digital intelligence technologies have broad potential in applications-in financing, accessbility, payment, and supervision. Specifically, dynamic simulation models and big data analysis can make precise prediction of the demand for funding of medical care insurance. The machine learning algorithms improve the dynamic evaluation of drug safety and cost-effectiveness. The personalized payment models enhance the efficiency in identifying the cohort with high expenditure so as to alleviate fund expenditure pressures. The intelligent monitoring technologies can accurately detect the abnormal behaviors in funds of medical care insurance. These technologies provide systematic and scientific solutions for improving the medical care mechanism for rare diseases. Even though further investigation is needed, the digital intelligence technologies have shown remarkable potential in enhancing the flexibility, efficiency, and sustainability of the medical care insurance system and a promising future in meeting the needs of patients with rare diseases.

Objective:To analyze the current situation of medical consumables management policy in China,and to provide a reference for the refined management of medical consumables.Methods:Through the policy triangle model and policy tool theory,it comprehensively analyzes the reimbursement medical consumables catalogue and payment management policy of medical insurance in China,covering the policy background,content,process,and participant dimensions.Results:The use frequency of medical consumables policy tools is not balanced,the payment management rules need to be refined,and the participation of multi-stakeholders such as patients is lacking.Conclusion:It is necessary to further strengthen the foundational management of reimbursement medical consumables catalogue,improve the access mechanism of medical consumables for medical insurance,and explore the formulation of categorized payment standards and innovative payment mechanisms.

Patient-Reported Outcomes(PRO)is a subjective outcome indicator based on the concept of"patient-centered",in which patients report their own information such as health status,functional status,and treatment feelings,which is an ef-fective supplement to traditional objective outcome indicators.Based on the development status of the Patient Reported Outcome Measure(PROM),it systematically analyzed the concepts related to PRO with the goal of clarifying the Patient Experience Data(PED)with research value,and proposed six core types of PROs in the medical field,including health-related quality of life,health preference,health behavior,symptom burden,functional status and patient-reported experience.For each type of PRO,the key characteristics of the study were analyzed,the evidence and application directions of related PED and the production based on PED were described,and the existing international mainstream PROMs were reviewed.It is hoped that the connotation of PRO-related concepts can be comprehensively expounded,and PEDs with research significance and value can be explored,so as to provide guidance for the focus of PRO-related research in China,so as to promote the application and development of PRO in China.

Patient-Reported Outcomes(PRO)refers to a subjective outcome measure based on the concept of"patient-cen-tered",in which patients report their own health status,functional status,treatment feelings and other information,which is an ef-fective supplement to traditional objective outcome indicators.With the continuous promotion of PRO research,its application in the world is also constantly enriched.It takes the different application scenarios of PRO as the starting point and the evidence-based evidence that PRO can generate as the evaluation object,reviews the application status of PRO in the US,the European Union,the UK,Canada and other countries,regions or organizations,and summarizes the main application methods of PRO in different medical decision-making scenarios,in order to provide international experiences for the application research of PRO in China.

With the rapid development of medical big data and artificial intelligence,Clinical Prediction Models(CPMs)have become pivotal tools for disease prevention,diagnosis,and treatment.Current research predominantly focuses on the economic analysis of pharmacological or public health interventions,yet a comprehensive methodological framework for the economic evaluation of CPMs has been notably absent.The Guidelines for Economic Evaluation of Clinical Prediction Models(hereafter the Guidelines),jointly initiated by the Chinese Research Hospital Association and Peking University,Tsinghua University,and Capital Medical University,adheres to the WHO Handbook for Guideline Development and the Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards.A multidisciplinary collaboration,including a steering committee,expert panel,secretariat,and external review group,was established to develop the guideline following evidence-based principles and procedures.Consensus recommendations were formulated through the Delphi method.It describes the background,objectives,target group,and the development methodology and process,ensuring the entire compilation process of the Guidelines is transparent and standardized.Through comprehensive evidence retrieval,systematic evidence appraisal,and a scientific approach to forming recommendations,the scientific rigor and validity of the Guidelines were further enhanced.

Objective:To analyze the cost-effectiveness of high-flux hemodialysis compared to low-flux hemodialysis in the treat-ment of End-Stage Renal Disease(ESRD)patients.Methods:Based on a literature review,a cost-effectiveness analysis model was established,using the Incremental Cost-Effectiveness Ratio(ICER)as the outcome indicator to evaluate the economic value of high-flux versus low-flux hemodialysis.One-way sensitivity analysis and probabilistic sensitivity analysis were conducted to further assess the robustness of the results.Results:In the treatment of ESRD patients,compared to low-flux hemodialysis,the ICER of high-flux hemodialysis was 234 882 yuan per QALY.The key factors influencing the model results were the cost discount rate,ef-fect discount rate,utility value of high-flux hemodialysis,and treatment costs.Conclusion:Compared to low-flux hemodialysis,high-flux hemodialysis demonstrates a cost-effectiveness advantage at a willingness-to-pay threshold of three times GDP per capita.

Patient-Reported Outcomes(PRO)is a subjective outcome indicator based on the concept of"patient-centered",in which patients report their own information such as health status,functional status,and treatment feelings,which is an ef-fective supplement to traditional objective outcome indicators.Based on the development status of the Patient Reported Outcome Measure(PROM),it systematically analyzed the concepts related to PRO with the goal of clarifying the Patient Experience Data(PED)with research value,and proposed six core types of PROs in the medical field,including health-related quality of life,health preference,health behavior,symptom burden,functional status and patient-reported experience.For each type of PRO,the key characteristics of the study were analyzed,the evidence and application directions of related PED and the production based on PED were described,and the existing international mainstream PROMs were reviewed.It is hoped that the connotation of PRO-related concepts can be comprehensively expounded,and PEDs with research significance and value can be explored,so as to provide guidance for the focus of PRO-related research in China,so as to promote the application and development of PRO in China.