{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T19:31:58Z","timestamp":1671132718679},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T00:00:00Z","timestamp":1621814400000},"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":[[2021,5,24]]},"abstract":"<jats:p>The diagnosis of patients with rare diseases is often delayed. A Clinical Decision Support System using similarity analysis of patient-based data may have the potential to support the diagnosis of patients with rare diseases. This qualitative study has the objective to investigate how the result of a patient similarity analysis should be presented to a physician to enable diagnosis support. We conducted a focus group with physicians practicing in rare diseases as well as medical informatics researchers. To prepare the focus group, a literature search was performed to check the current state of research regarding visualization of similar patients. We then created software-mockups for the presentation of these visualization methods for the discussion within the focus group. Two persons took independently field notes for data collection of the focus group. A questionnaire was distributed to the participants to rate the visualization methods. The results show that four visualization methods are promising for the visualization of similar patients: \u201cPatient on demand table\u201d, \u201cCriteria selection\u201d, \u201cTime-Series chart\u201d and \u201cPatient timeline. \u201cPatient on demand table\u201d shows a direct comparison of patient characteristics, whereas \u201cCriteria selection\u201d allows the selection of different patient criteria to get deeper insights into the data. The \u201cTime-Series chart\u201d shows the time course of clinical parameters (e.g. blood pressure) whereas a \u201cPatient timeline\u201d indicates which time events exist for a patient (e.g. several symptoms on different dates). In the future, we will develop a software-prototype of the Clinical Decision Support System to include the visualization methods and evaluate the clinical usage.<\/jats:p>","DOI":"10.3233\/shti210050","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T11:59:26Z","timestamp":1622116766000},"source":"Crossref","is-referenced-by-count":1,"title":["Visualization of Similar Patients in a Clinical Decision Support System for Rare Diseases \u2013 A Focus Group Study"],"prefix":"10.3233","author":[{"given":"Jannik","family":"Schaaf","sequence":"first","affiliation":[{"name":"Medical Informatics Group, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Martin","family":"Sedlmayr","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine Technical University of Dresden, Dresden, Germany"}]},{"given":"Hans-Ulrich","family":"Prokosch","sequence":"additional","affiliation":[{"name":"Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany"}]},{"given":"Niels","family":"Tegtbauer","sequence":"additional","affiliation":[{"name":"Medical Informatics Group, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Dennis","family":"Kadioglu","sequence":"additional","affiliation":[{"name":"Medical Informatics Group, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Johanna","family":"Schaefer","sequence":"additional","affiliation":[{"name":"Medical Informatics Group, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Martin","family":"Boeker","sequence":"additional","affiliation":[{"name":"Institute of Medical Biometry and Statistics, Medical Faculty and Medical Centre \u2013 University of Freiburg, Freiburg, Germany"}]},{"given":"Holger","family":"Storf","sequence":"additional","affiliation":[{"name":"Medical Informatics Group, University Hospital Frankfurt, Frankfurt, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences: Bringing Data to Life"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:09:28Z","timestamp":1635167368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210050"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,24]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210050","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,24]]}}}