{"title":"[数字医疗应用的技术评估，用于报销决策]。","authors":"Reinhard Jeindl, Claudia Wild","doi":"10.1007/s10354-021-00881-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>For most digital health applications (DiGA) only limited evidence of benefit is available. Currently available assessment frameworks do not cover all domains of a full health technology assessment (HTA). Additionally, technology-specific aspects are required for the evaluation of DiGA. This work aimed to analyze the available assessment frameworks and design an evaluation process for DiGA.</p><p><strong>Methods: </strong>By a systematic literature search six assessment frameworks for DiGA were selected and analyzed. A hand search for strategies on DiGA of selected countries was conducted.</p><p><strong>Results: </strong>Of the analyzed assessment frameworks four described study designs. One assessment framework proposed a risk classification of DiGA. Aspects of artificial intelligence were assessed by one assessment framework. The analyzed countries have differing strategies for reimbursement of DiGA.</p><p><strong>Conclusion: </strong>Assessment frameworks for DiGA are very heterogeneous. There are efforts to find regulations for DiGA on a national level. When evaluating DiGA, a staged approach considering risk classes with subsequent evaluation of relevant HTA aspects is recommended.</p>","PeriodicalId":23882,"journal":{"name":"Wiener medizinische Wochenschrift","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10896865/pdf/","citationCount":"0","resultStr":"{\"title\":\"[Technology assessment of digital health applications for reimbursement decisions].\",\"authors\":\"Reinhard Jeindl, Claudia Wild\",\"doi\":\"10.1007/s10354-021-00881-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>For most digital health applications (DiGA) only limited evidence of benefit is available. Currently available assessment frameworks do not cover all domains of a full health technology assessment (HTA). Additionally, technology-specific aspects are required for the evaluation of DiGA. This work aimed to analyze the available assessment frameworks and design an evaluation process for DiGA.</p><p><strong>Methods: </strong>By a systematic literature search six assessment frameworks for DiGA were selected and analyzed. A hand search for strategies on DiGA of selected countries was conducted.</p><p><strong>Results: </strong>Of the analyzed assessment frameworks four described study designs. One assessment framework proposed a risk classification of DiGA. Aspects of artificial intelligence were assessed by one assessment framework. The analyzed countries have differing strategies for reimbursement of DiGA.</p><p><strong>Conclusion: </strong>Assessment frameworks for DiGA are very heterogeneous. There are efforts to find regulations for DiGA on a national level. When evaluating DiGA, a staged approach considering risk classes with subsequent evaluation of relevant HTA aspects is recommended.</p>\",\"PeriodicalId\":23882,\"journal\":{\"name\":\"Wiener medizinische Wochenschrift\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10896865/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiener medizinische Wochenschrift\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10354-021-00881-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/9/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiener medizinische Wochenschrift","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10354-021-00881-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/16 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
[Technology assessment of digital health applications for reimbursement decisions].
Background: For most digital health applications (DiGA) only limited evidence of benefit is available. Currently available assessment frameworks do not cover all domains of a full health technology assessment (HTA). Additionally, technology-specific aspects are required for the evaluation of DiGA. This work aimed to analyze the available assessment frameworks and design an evaluation process for DiGA.
Methods: By a systematic literature search six assessment frameworks for DiGA were selected and analyzed. A hand search for strategies on DiGA of selected countries was conducted.
Results: Of the analyzed assessment frameworks four described study designs. One assessment framework proposed a risk classification of DiGA. Aspects of artificial intelligence were assessed by one assessment framework. The analyzed countries have differing strategies for reimbursement of DiGA.
Conclusion: Assessment frameworks for DiGA are very heterogeneous. There are efforts to find regulations for DiGA on a national level. When evaluating DiGA, a staged approach considering risk classes with subsequent evaluation of relevant HTA aspects is recommended.
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''From the microscope to clinical application!'', Scientists from all European countries make available their recent research results and practical experience through Wiener Medizinische Wochenschrift, the renowned English- and German-language forum. Both original articles and reviews on a broad spectrum of clinical and preclinical medicine are presented within the successful framework of thematic issues compiled by guest editors. Selected cutting-edge topics, such as dementia, geriatric oncology, Helicobacter pylori and phytomedicine make the journal a mandatory source of information.
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