Health Policy and Technology最新文献_第8页

THE INTERPLAY BETWEEN GLOBAL HEALTH POLICY AND VACCINATION STRATEGIES IN THE SHIFT TOWARDS COVID-19 ENDEMICITY 全球卫生政策与疫苗接种战略之间在科维德-19 流行率变化中的相互作用

IF 6 3区医学

Health Policy and Technology Pub Date : 2024-02-01 DOI: 10.1016/j.hlpt.2024.100854

M. Antonini, A. Fouda, M. Hinwood, A. Melia, F. Paolucci

引用次数: 0

Public preferences for vaccination campaigns in the COVID-19 endemic phase: Insights from the VaxPref database COVID-19 流行阶段公众对疫苗接种活动的偏好：从 VaxPref 数据库中获得的启示

IF 6 3区医学

Health Policy and Technology Pub Date : 2024-02-01 DOI: 10.1016/j.hlpt.2024.100849

M. Antonini, Dr Mesfin G. Genie, Dr Arthur Attema E, Dr Katie Attwell, Prof Zsolt J. Balogh, D. Behmane, Chiara Berardi, Dr Shuli Brammli-Greenberg, Andrew Greenland, Prof Terje P. Hagen, Dr Madeleine Hinwood, Prof Carole James, Adrian Kellner, Prof Brian Kelly, Dr Liubovė Murauskienė, Dr Neil McGregor, Prof Alessia Melegaro, Dr Naomi Moy, Dr Ana Rita Sequeira, Dr Renu Singh, Dr Aleksandra Torbica, Dr Jeremy K. Ward, Dr Dongyue Yang, Prof Francesco Paolucci

引用次数: 1

Working With Epistemic Uncertainties: Emerging Entanglements Within Conditional Reimbursement Practices 与认识上的不确定性打交道：有条件报销实践中新出现的纠葛

IF 6 3区医学

Health Policy and Technology Pub Date : 2024-02-01 DOI: 10.1016/j.hlpt.2024.100850

dr. Rik Wehrens, dr. Bert de Graaff

引用次数: 0

Corrigendum to ‘Towards a universal patient-centric health record sharing platform’ [Health Policy and Technology 12 (2023) 100819] “迈向以患者为中心的通用健康记录共享平台”的勘误表[卫生政策与技术12 (2023)100819]

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-11-18 DOI: 10.1016/j.hlpt.2023.100821

Mana Azarm , Rebecca Meehan , Craig Kuziemsky

引用次数: 0

Corrigendum to ‘Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses’ [Health Policy and Technology 12 (2023) 100,754] “使用入院流动性措施对医院患者急性后护理需求的机器学习预测在患者诊断中是稳健的”[卫生政策与技术12(2023)100,754]的勘误表

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-11-18 DOI: 10.1016/j.hlpt.2023.100825

Daniel L. Young , Rebecca Engels , Elizabeth Colantuoni , Lisa Aronson Friedman , Erik H. Hoyer

引用次数: 0

Artificial intelligence for patient scheduling in the real-world health care setting: A metanarrative review 人工智能患者调度在现实世界的医疗保健设置:元叙述回顾

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-11-12 DOI: 10.1016/j.hlpt.2023.100824

Dacre R.T. Knight , Christopher A. Aakre , Christopher V. Anstine , Bala Munipalli , Parisa Biazar , Ghada Mitri , Jose Raul Valery , Tara Brigham , Shehzad K. Niazi , Adam I. Perlman , John D. Halamka , Abd Moain Abu Dabrh

{"title":"Artificial intelligence for patient scheduling in the real-world health care setting: A metanarrative review","authors":"Dacre R.T. Knight , Christopher A. Aakre , Christopher V. Anstine , Bala Munipalli , Parisa Biazar , Ghada Mitri , Jose Raul Valery , Tara Brigham , Shehzad K. Niazi , Adam I. Perlman , John D. Halamka , Abd Moain Abu Dabrh","doi":"10.1016/j.hlpt.2023.100824","DOIUrl":"10.1016/j.hlpt.2023.100824","url":null,"abstract":"<div><h3>Objectives</h3><p>The application of artificial intelligence (AI) and machine learning (ML) to scheduling in medical practices has considerable implications for most specialties. However, the landscape of AI and ML use in scheduling optimization is unclear. We aimed to systematically summarize up-to-date evidence about application of AI and ML models for scheduling optimization in clinical settings.</p></div><div><h3>Methods</h3><p><span>We systematically searched multiple databases from inception through August 2020 to identify studies that described real-world application of AI and ML in health care scheduling and reported outcomes. Eligible studies included those conducted in any health care setting using ML or </span>predictive modeling through AI to optimize patient scheduling processes in real-time, real-world settings. Outcomes of interest included assessing impact on stakeholders (i.e., providers, patients, health systems), including impact on workload, burden, burnout, cost, utilization, patient and provider satisfaction, waste reduction, and quality. Data were extracted and reviewed in duplicates, independently and blindly by two reviewers. The results were synthesized and summarized using a metanarrative approach.</p></div><div><h3>Results</h3><p>The initial search strategy yielded 3,415 citations, of which 11 eligible studies were included. Outcome measures for studies on missed appointments covered patient double-booking volume, missed appointments, service use, and missed appointment risk. Resource allocation outcomes assessed wait time, disease-type matching performance, schedule efficiency revenue, and new patient volume wait time. Other outcomes included visit requests, examination length prediction, and surgical case time.</p></div><div><h3>Conclusions</h3><p>Available evidence shows heterogeneity in the stages of AI and ML development as they apply to patient scheduling. AI and ML applications can be used to decrease the burden on provider time, increase patient satisfaction, and ultimately provide more patient-directed health care and efficiency for medical practices. These findings help identify additional opportunities in which AI platforms can be developed to optimize patient scheduling.</p></div><div><h3>Public Interest Summary</h3><p><span>Artificial Intelligence (AI) and machine learning (ML) can help many aspects of health care. Patient scheduling has significant implications for the cost benefits of improved technology. The longstanding use of technology in medicine serves as a strong foundation for future AI applications. Here, we present an up-to-date review of the current use of AI and ML for schedule optimization in the health care clinic setting. Current evidence shows a wide variety of stages in the development, function, and application of AI and ML </span>in patient scheduling. Given the current gaps of knowledge, future studies should address feasibility, effectiveness, generalizability, and risk of A","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135713776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A national survey of physicians regarding protection of patient privacy in China 一项关于中国医生对患者隐私保护的全国性调查

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-11-10 DOI: 10.1016/j.hlpt.2023.100823

Zhongzhou Xiao , Wei Zhai , Xinwei Peng , Yun Zhong , Shuqing Luo , Ruiyao Chen , Lu Lu , Yijue Zhang , Jie Xu

{"title":"A national survey of physicians regarding protection of patient privacy in China","authors":"Zhongzhou Xiao , Wei Zhai , Xinwei Peng , Yun Zhong , Shuqing Luo , Ruiyao Chen , Lu Lu , Yijue Zhang , Jie Xu","doi":"10.1016/j.hlpt.2023.100823","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100823","url":null,"abstract":"<div><h3><strong>Objectives</strong></h3><p>The significance of safeguarding patient privacy at a population level within public medical institutions remains insufficiently acknowledged despite the potential to enhance the protection awareness of physicians and of hospital management in clinical practice. We herein devised a survey to investigate the current state of patient privacy breaches in China and to ascertain its underlying rationales.</p></div><div><h3><strong>Methods</strong></h3><p><span>We conducted a comprehensive nationwide survey of 928 physicians in seven geographic regions of China through convenience and snowball sampling, enrolled physicians defined in the Chinese Health Statistics Yearbook, and measured the incidence of medical data breaches. Physicians’ perceptions and behaviors with respect to patient privacy protection and their attitudes toward hospital management were accessed through descriptive statistics. Multiple </span>logistic regression analysis was also conducted with different adjustments of covariates for each model.</p></div><div><h3><strong>Results</strong></h3><p>Of the 937 respondents, 928 physicians were eligible and validated for the analysis. We estimated that 52.2 % (95 %CI, 48.9–55.4) of the physicians reported that they had disclosed their patients’ privacy. Master's (OR, 0.63 [95 %CI, 0.43–0.92]) and Ph.D. (OR, 0.59 [95 %CI, 0.35–1.00]) educational levels, scores on the understanding of patient privacy protection (OR, 0.89 [95 %CI, 0.80–0.99]), the presence of colleagues who had experienced data disclosure (OR, 7.00 [95 %CI, 5.02–9.77]), full-time department supervision (OR, 1.60 [95 %CI, 1.02–2.53]) and corresponding regulations (OR, 0.56 [95 %CI, 0.33–0.97]) for patient privacy protection in the hospital, restricted external equipment for computers (OR, 1.76 [95 %CI, 1.10–2.83]), and access to medical records (OR, 0.62 [95 %CI, 0.41–0.94]) were all associated with privacy breaches by physicians.</p></div><div><h3><strong>Conclusions</strong></h3><p>In general, patient privacy research and awareness of patient privacy protection are relatively deficient in China, with a remarkably high occurrence of disclosure. We posit that the identification of the factors underlying our results will provide evidence for appropriate hospital management, and that these factors may then be generalizable to other clinical settings.</p></div><div><h3><strong>Public interest summary</strong></h3><p>Patient privacy breaches seem to be rarely mentioned and addressed regardless of the country, potentially due to its high sensitivity, while this is significant in clinical practice. In this study, we meant to find out the answers to the questions, “What is the situation of privacy disclosure in China public medical institutions?”, “Why does it happen?”, and “Is patient privacy protected enough? If not, how can we do better?”. Through conducting a survey among physicians, their answers were collected for further analysis. Our","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134656463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards a universal patient-centric health record sharing platform 建立一个以患者为中心的通用健康记录共享平台

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-10-14 DOI: 10.1016/j.hlpt.2023.100819

Mana Azarm , Rebecca Meehan , Craig Kuziemsky

{"title":"Towards a universal patient-centric health record sharing platform","authors":"Mana Azarm , Rebecca Meehan , Craig Kuziemsky","doi":"10.1016/j.hlpt.2023.100819","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100819","url":null,"abstract":"<div><h3>Objectives</h3><p>This paper provides a practical approach to evaluate health record sharing platforms in terms of their ability to deliver interoperable healthcare of quality at a systems level. We use our previously published interoperability evaluation framework to evaluate our proposed System-level Record Sharing (SLRS) platform against four other common categories of health record sharing platforms in Canada, the United States, and Norway.</p></div><div><h3>Methods</h3><p>In this paper, we compare the SLRS platform architecture that we previously developed against 4 health record sharing platform categories. We conducted this comparative evaluation of 5 categories of healthcare platforms: SLRS, Commercial-Multi (CM), Commercial-Independent (CI), Governmental-Multi (GM), and Governmental-Independent (GI) using our proposed evaluation framework that is built upon quadruple aim, triple aim and Canadian Institute for Health Information (CIHI) health platform evaluation frameworks.</p></div><div><h3>Results</h3><p>SLRS and platforms managed by government organizations that provide a technology-independent or compatible platform were the most effective in terms of satisfying data interoperability, providing meaningful and effective information exchange, being compliant with health privacy regulations across a range of contexts, and having many of the costs paid for at a central level. All platforms struggled with context and process interoperability requirements, as well as providing evidence-based information across an entire health system.</p></div><div><h3>Conclusion</h3><p>To optimize health management, both clinicians and patients need sharing of personal health information (PHI) across applications. Our findings indicate that commercial platforms in this study need to improve their governance structure and employ a consistent ontology that can be adopted by all EHR applications across a health system. Our proposed SLRS platform can support the sharing of health data across multiple health care organizations at a system-level, allowing clinicians to access patient health data to inform treatment and care decisions.</p></div><div><h3>Public interest abstract</h3><p>Healthcare organizations face barriers when exchanging information across their boundaries. Many obstacles are caused by varying technical requirements of the EHR applications they have, and their contextual regulations. Most healthcare organizations have a portal in which the patients can view their care history. However, the breadth of the information provided limits to the number of healthcare providers subscribed to that specific platform. Viewing the full history across the entire health system, requires maintaining multiple accounts.</p><p>In this paper we refer to a new framework for sharing health information and its prototyped platform (SLRS) that we have previously developed in our lab. In this paper we report on how we evaluated the SLRS platform against four pro","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50197905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Telemedicine implementation framework for Malaysia: An integrated SWOT-MCDM approach 马来西亚远程医疗实施框架：SWOT-MCDM综合方法

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-10-13 DOI: 10.1016/j.hlpt.2023.100818

Siti Norida Wahab , Jagroop Singh , Nikram Subramaniam

{"title":"Telemedicine implementation framework for Malaysia: An integrated SWOT-MCDM approach","authors":"Siti Norida Wahab , Jagroop Singh , Nikram Subramaniam","doi":"10.1016/j.hlpt.2023.100818","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100818","url":null,"abstract":"<div><h3>Objectives</h3><p>Despite the increase in the utilization of telemedicine worldwide, especially during the pandemic, its implementation in Malaysia's healthcare industry remains scarce. Hence, this study aims to understand the current state of telemedicine utilization by identifying the constraints and establishing the optimum telemedicine implementation strategy.</p></div><div><h3>Methods</h3><p>The study proposes an integrated methodology based on strengths, weaknesses, opportunities, and threats (SWOT) analysis, analytical hierarchy process entropy (AHPE), and fuzzy technique for order performance by similarity to the ideal solution (FTOPSIS). The SWOT analysis is performed for the situational assessment of telemedicine technology in Malaysia. Each element of SWOT was assessed using AHPE to establish priorities, followed by the FTOPSIS approach to provide strategies for its successful adoption.</p></div><div><h3>Results</h3><p>The findings show that continuous government support and encouragement for market acquisition, cost-cutting, profit-maximizing, and Internet of Things (IoT)-based adoption to establish a strong telemedicine network is the most important strategy for telemedicine technology implementation. While using a structured method to improve service quality, the implementation of a knowledge-sharing management program for telemedicine technology is ranked as the least preferred telemedicine technology implementation strategy.</p></div><div><h3>Conclusions</h3><p>The study suggests a systematic way of developing and evaluating telemedicine technology implementation strategies for further improving Malaysian healthcare patient experiences and policy endeavours. This study proposed alternative strategies to expand telemedicine technology implementation. It is hoped that this study could further enhance knowledge and serve as a guide for stakeholders in the healthcare industry to understand their business environment better.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50197879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Must the ICMJE and COPE guidelines and/or recommendations be interpreted (and used) as voluntary advice or as mandatory rules? ICMJE和COPE指南和/或建议是否必须被解释（和使用）为自愿建议或强制性规则？

IF 6 3区医学

Health Policy and Technology Pub Date : 2023-10-12 DOI: 10.1016/j.hlpt.2023.100817

Jaime A. Teixeira da Silva

引用次数: 0