{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:50:27Z","timestamp":1753890627178,"version":"3.41.2"},"reference-count":37,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T00:00:00Z","timestamp":1740355200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"Background<\/jats:title>Health information exchange (HIE) is an information system that efficiently shares patient information across medical institutions. However, traditional consent methods, represented by opt-in and opt-out, face a trade-off between efficiency and ethical, making it difficult to fundamentally improve consent rates. To address this issue, we focused on default settings and proposed an innovative approach called the \u201ctwo-step consent model,\u201d which leverages the advantages of existing models using utility theory. We evaluated the acceptability of this method.<\/jats:p><\/jats:sec>Methods<\/jats:title>An online survey was conducted with 2,000 participants registered with Japan's largest internet survey company. We compared and analyzed the consent rates of the opt-in, opt-out, and two-step consent models.<\/jats:p><\/jats:sec>Results<\/jats:title>The opt-in model had a 29.5% consent rate, maximizing patient autonomy but increasing the burden and reducing efficiency. The opt-out model had a 95.0% consent rate but raised concerns among half of the respondents. The two-step consent model had a 68.5% consent rate, demonstrating its cost-effectiveness compared with traditional models.<\/jats:p><\/jats:sec>Discussion<\/jats:title>The two-step consent model, involving implicit and explicit consent when needed, ensures efficient consent acquisition while respecting patient autonomy. It is a cost-effective policy option that can overcome the ethical issues associated with the opt-out model. Introducing methods that leverage both opt-in and opt-out advantages is expected to address HIE stagnation.<\/jats:p><\/jats:sec>Conclusion<\/jats:title>The two-step consent model is expected to improve consent rates by balancing the efficiency and quality of consent acquisition. To achieve this, patient education is crucial for raising awareness and understanding of HIE and its consent methods.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fdgth.2025.1498072","type":"journal-article","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T06:38:55Z","timestamp":1740379135000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Consent mechanisms and default effects in health information exchange in Japan"],"prefix":"10.3389","volume":"7","author":[{"given":"Atsushi","family":"Ito","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fumihiko","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2025,2,24]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1055\/s-0042-1742519","article-title":"Transforming 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