Background: The concept of the regulatory sandbox-a safe space for testing new regulatory processes-was first used within the financial technologies (FinTech) sector, but has since expanded into other sectors, including healthcare.
Objectives: This review aims to describe the extent of use of sandboxes in healthcare and assess the potential for the sandbox approach to be used to test and develop emerging health technology assessment (HTA) methods, policies and processes for innovative technologies.
Methods: A systematic literature review was undertaken to identify published papers and reports that described and/or assessed the use of sandboxes in the healthcare sector. Searches were conducted in Medline, Embase, Econlit, Social Policy and Practice, and Health Management Information Consortium databases from inception to March 2020. Free-text Google search was also conducted to identify relevant grey literature. Only papers and reports discussing or evaluating the use of sandboxes in healthcare settings and published in English were included. Included studies were qualitatively summarised using a thematic analysis approach.
Results: Overall, 46 papers and reports were included. The topics covered were classified into 4 major themes: history of the regulatory sandbox, the sandbox as a testing environment, the sandbox as a regulatory approach, examples of using sandboxes in healthcare. Findings show that the use of regulatory sandboxes in healthcare is relatively new and primarily used in high-income countries to support the adoption of new technologies, particularly those related to digital health. Recommendations are made based on these findings to guide its use in HTA policy and methods development.
Conclusions: Sandboxes are increasingly used within healthcare regulation. Despite its potential, this approach has not been used in HTA policy and methodological developments to date. HTA agencies should consider this approach to facilitate developing policies, methods and processes for innovative and disruptive health technologies. Transferability to low- and middle-income countries' settings, however, should be assessed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545721 | PMC |
http://dx.doi.org/10.1007/s40258-021-00665-1 | DOI Listing |
World J Urol
December 2024
Department of Urology, Baldwin Park Medical Center, Kaiser Permanente, 1011 Baldwin Park Blvd., Baldwin Park, CA, 91706, USA.
Purpose: To evaluate the accuracy, comprehensiveness, empathetic tone, and patient preference for AI and urologist responses to patient messages concerning common BPH questions across phases of care.
Methods: Cross-sectional study evaluating responses to 20 BPH-related questions generated by 2 AI chatbots and 4 urologists in a simulated clinical messaging environment without direct patient interaction. Accuracy, completeness, and empathetic tone of responses assessed by experts using Likert scales, and preferences and perceptions of authorship (chatbot vs.
JCO Clin Cancer Inform
June 2024
Department of Biomedical Informatics, Columbia University Medical Center, New York, NY.
Purpose: The expanding presence of the electronic health record (EHR) underscores the necessity for improved interoperability. To test the interoperability within the field of oncology research, our team at Vanderbilt University Medical Center (VUMC) enabled our Epic-based EHR to be compatible with the Minimal Common Oncology Data Elements (mCODE), which is a Fast Healthcare Interoperability Resources (FHIR)-based consensus data standard created to facilitate the transmission of EHRs for patients with cancer.
Methods: Our approach used an extract, transform, load tool for converting EHR data from the VUMC Epic Clarity database into mCODE-compatible profiles.
BMC Med Inform Decis Mak
June 2024
Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Background: Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments to individual patient conditions. This has heightened the demand for access to diverse data from clinical practice and daily life for research, posing challenges due to the sensitive nature of medical information, including genetics and health conditions. Regulations like the Health Insurance Portability and Accountability Act (HIPAA) in the U.
View Article and Find Full Text PDFNat Commun
March 2024
Department of Women's and Children's Health, Karolinska Institutet, CMM, L8:01, 17176, Stockholm, Sweden.
Cloud-based personal health records increase globally. The GPOC series introduces the concept of a Global Patient co-Owned Cloud (GPOC) of personal health records. Here, we present the GPOC series' Prospective Register of Systematic Reviews (PROSPERO) registered and Preferred Reporting Items Systematic and Meta-Analyses (PRISMA)-guided systematic review and meta-analysis.
View Article and Find Full Text PDFStud Health Technol Inform
January 2024
Centre for Digital Transformation of Health, University of Melbourne, Australia.
Fit within existing physical and digitalised workflows is a critical aspect of digital health software usability. Early, iterative exploration of contextual usability issues is complicated by barriers of access to healthcare settings. The Validitron SimLab is a new facility for digital health prototyping that augments immersive, realistic physical environments with a digital sandbox allowing new and existing software to be easily set up and tested in the physical space.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!