EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative
The EyeMatics project, embedded as a clinical use case in Germany's Medical Informatics Initiative, is a large digital health initiative in ophthalmology. The objective is to improve the understanding of the treatment effects of intravitreal injections, the most frequent procedure to treat eye...
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| Veröffentlicht in: | JMIR medical informatics 2024-12, Vol.12, p.e60851 |
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| creator | Varghese, Julian Schuster, Alexander Poschkamp, Broder Yildirim, Kemal Oehm, Johannes Berens, Philipp Müller, Sarah Gervelmeyer, Julius Koch, Lisa Hoffmann, Katja Sedlmayr, Martin Kakkassery, Vinodh Kohlbacher, Oliver Merle, David Bartz-Schmidt, Karl Ulrich Ueffing, Marius Stahl, Dana Leddig, Torsten Bialke, Martin Hampf, Christopher Hoffmann, Wolfgang Berthe, Sebastian Waltemath, Dagmar Walter, Peter Lipprandt, Myriam Röhrig, Rainer Storp, Jens Julian Zimmermann, Julian Alexander Holtrup, Lea Brix, Tobias Stahl, Andreas Eter, Nicole |
| description | The EyeMatics project, embedded as a clinical use case in Germany's Medical Informatics Initiative, is a large digital health initiative in ophthalmology. The objective is to improve the understanding of the treatment effects of intravitreal injections, the most frequent procedure to treat eye diseases. To achieve this, valuable patient data will be meaningfully integrated and visualized from different IT systems and hospital sites. EyeMatics emphasizes a governance framework that actively involves patient representatives, strictly implements interoperability standards, and employs artificial intelligence methods to extract biomarkers from tabular and clinical data as well as raw retinal scans. In this perspective paper, we delineate the strategies for user-centered implementation and health care-based evaluation in a multisite observational technology study. |
| doi_str_mv | 10.2196/60851 |
| format | Article |
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The objective is to improve the understanding of the treatment effects of intravitreal injections, the most frequent procedure to treat eye diseases. To achieve this, valuable patient data will be meaningfully integrated and visualized from different IT systems and hospital sites. EyeMatics emphasizes a governance framework that actively involves patient representatives, strictly implements interoperability standards, and employs artificial intelligence methods to extract biomarkers from tabular and clinical data as well as raw retinal scans. In this perspective paper, we delineate the strategies for user-centered implementation and health care-based evaluation in a multisite observational technology study.</description><identifier>ISSN: 2291-9694</identifier><identifier>EISSN: 2291-9694</identifier><identifier>DOI: 10.2196/60851</identifier><identifier>PMID: 39637381</identifier><language>eng</language><publisher>Canada: JMIR Publications</publisher><subject>Artificial Intelligence ; Consent ; Data exchange ; Datasets ; Decision making ; Eye diseases ; Eye Diseases - drug therapy ; Eye Diseases - therapy ; Germany ; Health informatics ; Hospitals ; Humans ; Information sharing ; Information systems ; Infrastructure ; Interoperability ; Intravitreal Injections ; Medical Informatics ; Ophthalmology ; Patient satisfaction ; Semantics ; Subject specialists</subject><ispartof>JMIR medical informatics, 2024-12, Vol.12, p.e60851</ispartof><rights>Julian Varghese, Alexander Schuster, Broder Poschkamp, Kemal Yildirim, Johannes Oehm, Philipp Berens, Sarah Müller, Julius Gervelmeyer, Lisa Koch, Katja Hoffmann, Martin Sedlmayr, Vinodh Kakkassery, Oliver Kohlbacher, David Merle, Karl Ulrich Bartz-Schmidt, Marius Ueffing, Dana Stahl, Torsten Leddig, Martin Bialke, Christopher Hampf, Wolfgang Hoffmann, Sebastian Berthe, Dagmar Waltemath, Peter Walter, Myriam Lipprandt, Rainer Röhrig, Jens Julian Storp, Julian Alexander Zimmermann, Lea Holtrup, Tobias Brix, Andreas Stahl, Nicole Eter. 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Nicole</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative</atitle><jtitle>JMIR medical informatics</jtitle><addtitle>JMIR Med Inform</addtitle><date>2024-12-05</date><risdate>2024</risdate><volume>12</volume><spage>e60851</spage><pages>e60851-</pages><issn>2291-9694</issn><eissn>2291-9694</eissn><abstract>The EyeMatics project, embedded as a clinical use case in Germany's Medical Informatics Initiative, is a large digital health initiative in ophthalmology. The objective is to improve the understanding of the treatment effects of intravitreal injections, the most frequent procedure to treat eye diseases. To achieve this, valuable patient data will be meaningfully integrated and visualized from different IT systems and hospital sites. EyeMatics emphasizes a governance framework that actively involves patient representatives, strictly implements interoperability standards, and employs artificial intelligence methods to extract biomarkers from tabular and clinical data as well as raw retinal scans. In this perspective paper, we delineate the strategies for user-centered implementation and health care-based evaluation in a multisite observational technology study.</abstract><cop>Canada</cop><pub>JMIR Publications</pub><pmid>39637381</pmid><doi>10.2196/60851</doi><orcidid>https://orcid.org/0009-0007-7286-0017</orcidid><orcidid>https://orcid.org/0000-0002-6359-8797</orcidid><orcidid>https://orcid.org/0009-0009-2129-0952</orcidid><orcidid>https://orcid.org/0000-0002-8063-6548</orcidid><orcidid>https://orcid.org/0000-0002-7206-3719</orcidid><orcidid>https://orcid.org/0000-0001-8745-6593</orcidid><orcidid>https://orcid.org/0000-0002-0199-4727</orcidid><orcidid>https://orcid.org/0000-0001-6212-8964</orcidid><orcidid>https://orcid.org/0000-0002-5886-5563</orcidid><orcidid>https://orcid.org/0000-0001-9371-0551</orcidid><orcidid>https://orcid.org/0000-0001-8031-7478</orcidid><orcidid>https://orcid.org/0009-0000-9249-5896</orcidid><orcidid>https://orcid.org/0000-0003-4765-0767</orcidid><orcidid>https://orcid.org/0000-0003-1500-8673</orcidid><orcidid>https://orcid.org/0000-0001-8883-5480</orcidid><orcidid>https://orcid.org/0000-0003-4377-7074</orcidid><orcidid>https://orcid.org/0000-0003-4240-1809</orcidid><orcidid>https://orcid.org/0000-0002-9888-8460</orcidid><orcidid>https://orcid.org/0000-0002-6304-3599</orcidid><orcidid>https://orcid.org/0000-0003-1739-4598</orcidid><orcidid>https://orcid.org/0000-0002-4557-4783</orcidid><orcidid>https://orcid.org/0000-0003-4485-5580</orcidid><orcidid>https://orcid.org/0000-0003-2393-0369</orcidid><orcidid>https://orcid.org/0000-0002-0032-5118</orcidid><orcidid>https://orcid.org/0000-0002-4283-4543</orcidid><orcidid>https://orcid.org/0000-0002-8013-7597</orcidid><orcidid>https://orcid.org/0000-0001-5617-346X</orcidid><orcidid>https://orcid.org/0000-0003-2209-2113</orcidid><orcidid>https://orcid.org/0000-0001-6888-9086</orcidid><orcidid>https://orcid.org/0009-0001-1392-8188</orcidid><orcidid>https://orcid.org/0000-0002-1557-8097</orcidid><orcidid>https://orcid.org/0000-0002-0007-147X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2291-9694 |
| ispartof | JMIR medical informatics, 2024-12, Vol.12, p.e60851 |
| issn | 2291-9694 2291-9694 |
| language | eng |
| recordid | cdi_proquest_journals_3142288766 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; PubMed Central |
| subjects | Artificial Intelligence Consent Data exchange Datasets Decision making Eye diseases Eye Diseases - drug therapy Eye Diseases - therapy Germany Health informatics Hospitals Humans Information sharing Information systems Infrastructure Interoperability Intravitreal Injections Medical Informatics Ophthalmology Patient satisfaction Semantics Subject specialists |
| title | EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative |
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