{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:02Z","timestamp":1747216142301,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684000"},{"type":"electronic","value":"9781643684017"}],"license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,29]]},"abstract":"<jats:p>Patient-Generated Health Data (PGHD), such as data provided by wearable devices, hold promise to improve health outcomes. However, to improve clinical decision-making, PGHD should be integrated or linked with Electronic Health Records (EHRs). Typically, PGHD data are collected and stored as Personal Health Records (PHRs), outside EHR systems. To address this challenge, we created a conceptual framework for PGHD\/EHR interoperability through the Master Patient Index (MPI) and DH-Convener platform. Then, we identified the corresponding Minimum Clinical Data Set (MCDS) of PGHD to be exchanged with EHR. This generic approach can be used as a blueprint in different countries.<\/jats:p>","DOI":"10.3233\/shti230413","type":"book-chapter","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:51:27Z","timestamp":1688111487000},"source":"Crossref","is-referenced-by-count":1,"title":["Patient-Generated Health Data Interoperability Through Master Patient Index: The DH-Convener Approach"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3056-503X","authenticated-orcid":false,"given":"Prabath","family":"Jayathissa","sequence":"first","affiliation":[{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8146-0505","authenticated-orcid":false,"given":"Mahdi","family":"Sareban","sequence":"additional","affiliation":[{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"},{"name":"University Institute of Sports Medicine, Prevention and Rehabilitation, Paracelsus Medical University, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2811-9041","authenticated-orcid":false,"given":"Josef","family":"Niebauer","sequence":"additional","affiliation":[{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"},{"name":"University Institute of Sports Medicine, Prevention and Rehabilitation, Paracelsus Medical University, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1257-4848","authenticated-orcid":false,"given":"Rada","family":"Hussein","sequence":"additional","affiliation":[{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Healthcare Transformation with Informatics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230413","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:51:28Z","timestamp":1688111488000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230413"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"ISBN":["9781643684000","9781643684017"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230413","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}