{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:12Z","timestamp":1747216152460,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684505"},{"type":"electronic","value":"9781643684512"}],"license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"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":[[2023,10,20]]},"abstract":"<jats:p>Background: Artificial intelligence (AI) can potentially increase the quality of telemonitoring in chronic obstructive pulmonary disease (COPD). However, the output from AI is often difficult for clinicians to understand due to the complexity. This challenge may be accommodated by visualizing the AI results, however it hasn\u2019t been studied how this could be done specifically, i.e., considering which visual elements to include. Aim: To investigate how complex results from a predictive algorithm for patients with COPD can be translated into easily understandable data for the clinicians. Methods: Semi-structured interviews were conducted to explore clinicians\u2019 needs when visualizing the results of a predictive algorithm. This formed a basis for creating a prototype of an updated user interface. The user interface was evaluated using usability tests through the \u201cThink aloud\u201d method. Results: The clinicians pointed out the need for visualization of exacerbation alerts and the development in patients\u2019 data. Furthermore, they wanted the system to provide more information about what caused exacerbation alerts. Elements such as color and icons were described as particularly useful. The usability of the prototype was primarily assessed as easily understandable and advantageous in connection to the functions of the predictive algorithm. Conclusion: Predictive algorithm use in telemonitoring of COPD can be optimized by clearly visualizing the algorithm\u2019s alerts, clarifying the reasons for algorithm output, and by providing a clear overview of the development in the patient\u2019s data. This can contribute to clarity when the clinicians should act and why they should act on alerts from predictive algorithms.<\/jats:p>","DOI":"10.3233\/shti230732","type":"book-chapter","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:15:48Z","timestamp":1698048948000},"source":"Crossref","is-referenced-by-count":0,"title":["A Study on Optimization and Evaluation of the Visualization of Complex Algorithm Results in Remote Monitoring of COPD"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2532-7934","authenticated-orcid":false,"given":"Mathilde D.","family":"Sander","sequence":"first","affiliation":[{"name":"Aalborg University, Department of Health and Science, Aalborg, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2007-1385","authenticated-orcid":false,"given":"Rikke L.","family":"Madsen","sequence":"additional","affiliation":[{"name":"Aalborg University, Department of Health and Science, Aalborg, Denmark"}]},{"given":"Sisse H.","family":"Laursen","sequence":"additional","affiliation":[{"name":"Aalborg University, Department of Health and Science, Aalborg, Denmark"},{"name":"Research Unit for Clinical Nursing, Aalborg University Hospital, Aalborg, Denmark"}]},{"given":"Stine","family":"Hangaard","sequence":"additional","affiliation":[{"name":"Aalborg University, Department of Health and Science, Aalborg, Denmark"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Telehealth Ecosystems in Practice"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230732","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:15:49Z","timestamp":1698048949000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230732"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"ISBN":["9781643684505","9781643684512"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230732","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2023,10,20]]}}}