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Although data are determined to play a bigger role in how doctors diagnose and prescribe treatments, they struggle due to a lack of time and an abundance of structured and unstructured information. To address this challenge, we introduce\n            <jats:italic>MediCoSpace<\/jats:italic>\n            , a visual decision-support tool for more efficient doctor-patient consultations. The tool links patient reports to past and present diagnoses, diseases, drugs, and treatments, both for the current patient and other patients in comparable situations.\n            <jats:italic>MediCoSpace<\/jats:italic>\n            uses textual medical data, deep-learning supported text analysis and concept spaces to facilitate a visual discovery process. The tool is evaluated by five medical doctors. The results show that\n            <jats:italic>MediCoSpace<\/jats:italic>\n            facilitates a promising, yet complex way to discover unlikely relations and thus suggests a path toward the development of interactive visual tools to provide physicians with more holistic diagnoses and personalized, dynamic treatments for patients.\n          <\/jats:p>","DOI":"10.1145\/3564275","type":"journal-article","created":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T12:54:55Z","timestamp":1664196895000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["<i>MediCoSpace<\/i>\n            : Visual Decision-Support for Doctor-Patient Consultations using Medical Concept Spaces from EHRs"],"prefix":"10.1145","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2430-0406","authenticated-orcid":false,"given":"Sanne","family":"van der Linden","sequence":"first","affiliation":[{"name":"Eindhoven University of Technology, AZ Eindhoven, the Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2629-9579","authenticated-orcid":false,"given":"Rita","family":"Sevastjanova","sequence":"additional","affiliation":[{"name":"University of Konstanz, Konstanz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5877-2802","authenticated-orcid":false,"given":"Mathias","family":"Funk","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology, AZ Eindhoven, the Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8526-2613","authenticated-orcid":false,"given":"Mennatallah","family":"El-Assady","sequence":"additional","affiliation":[{"name":"ETH AI Center, Z\u00fcrich, Switzerland"}]}],"member":"320","published-online":{"date-parts":[[2023,1,25]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2021.22396"},{"key":"e_1_3_1_3_2","volume-title":"Clinical Classifications Software (CCS) for ICD-9-CM Fact Sheet","year":"2022","unstructured":"AHRQ. 2022. 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