{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T23:05:53Z","timestamp":1648508753015},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T00:00:00Z","timestamp":1637193600000},"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":[[2021,11,18]]},"abstract":"<jats:p>We present a user acceptance study of a clinical decision support system (CDSS) for Type 2 Diabetes Mellitus (T2DM) risk prediction. We focus on how a combination of data-driven and rule-based models influence the efficiency and acceptance by doctors. To evaluate the perceived usefulness, we randomly generated CDSS output in three different settings: Data-driven (DD) model output; DD model with a presence of known risk scale (FINDRISK); DD model with presence of risk scale and explanation of DD model. For each case, a physician was asked to answer 3 questions: if a doctor agrees with the result, if a doctor understands it, if the result is useful for the practice. We employed a Lankton\u2019s model to evaluate the user acceptance of the clinical decision support system. Our analysis has proved that without the presence of scales, a physician trust CDSS blindly. From the answers, we can conclude that interpretability plays an important role in accepting a CDSS.<\/jats:p>","DOI":"10.3233\/shti210802","type":"book-chapter","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T08:58:06Z","timestamp":1637312286000},"source":"Crossref","is-referenced-by-count":0,"title":["Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems"],"prefix":"10.3233","author":[{"given":"Georgy","family":"Kopanitsa","sequence":"first","affiliation":[{"name":"ITMO University, 49 Kronverskiy prospect, 197101, Saint Petersburg, Russia"}]},{"given":"Ilia V.","family":"Derevitskii","sequence":"additional","affiliation":[{"name":"ITMO University, 49 Kronverskiy prospect, 197101, Saint Petersburg, Russia"}]},{"given":"Daria A.","family":"Savitskaya","sequence":"additional","affiliation":[{"name":"Almazov National Medical Research Centre, 2 Akkuratova st., 197341, Saint Petersburg, Russia"}]},{"given":"Sergey V.","family":"Kovalchuk","sequence":"additional","affiliation":[{"name":"ITMO University, 49 Kronverskiy prospect, 197101, Saint Petersburg, Russia"},{"name":"Almazov National Medical Research Centre, 2 Akkuratova st., 197341, Saint Petersburg, Russia"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T08:58:07Z","timestamp":1637312287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210802"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,18]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210802","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,18]]}}}