{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T08:24:47Z","timestamp":1770279887594,"version":"3.49.0"},"reference-count":18,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Hum Factors"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Clinical decision support systems are known to improve adherence to clinical practice guidelines and patient outcomes by providing clinicians with timely, accurate, and appropriate knowledge.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study investigates the perceived usefulness and practical implementation of UpHill Route v3, a personalized digital care pathway (PDCP) system, in enhancing clinical decision-making and patient management across various clinical settings.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n A mixed-methods retrospective study was conducted among medical doctors and nurses from four National Health System-Local Health Units in Portugal. Data were collected from May 2023 to April 2024. The primary data source was an anonymous questionnaire assessing health care professionals\u2019 perceptions of UpHill Route v3\u2019s usefulness using the Likert scale ranging from 0 (do not agree) to 10 (totally agree). Secondary analysis involved quantifying decisions across heart failure, multimorbidity, diabetes, and colorectal and breast cancer clinical pathways. These data were collected from user interactions with UpHill Route v3 as well as from its internal database. Descriptive and bivariate statistics were used to analyze the data.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n A total of 22 health care professionals with mean age 44.7 (SD 10.6) years, including 15 (68%) female participants and 9 (41%) physicians were included in the study. High ratings for adherence to clinical protocols, mean score 8.06 (SD 1.73); clinical decision support, mean score 8.05 (SD 1.73); patient care improvement, mean score 7.63 (SD 2.22); and confidence in patient management, mean score 8.26 (SD 1.56) were reported. Secondary analysis showed that across 3574 patients, 25,741 clinical decisions were informed, and 9254 actions were performed with the assistance of the PDCP tool.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The UpHill Route v3 PDCP tool is highly valued by health care professionals for its ability to support clinical decision-making and improve operational efficiency across various clinical settings. Our findings suggest that this tool can effectively bridge the gap between clinical guidelines and real-world practice.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/68581","type":"journal-article","created":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T07:35:05Z","timestamp":1743924905000},"page":"e68581-e68581","source":"Crossref","is-referenced-by-count":1,"title":["Personalized Digital Care Pathways Enable Enhanced Patient Management as Perceived by Health Care Professionals: Mixed-Methods Study"],"prefix":"10.2196","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6785-1510","authenticated-orcid":false,"given":"David","family":"Rodrigues","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3537-9228","authenticated-orcid":false,"given":"Clara","family":"Jasmins","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5260-5613","authenticated-orcid":false,"given":"Ricardo","family":"Ladeiras-Lopes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1053-0318","authenticated-orcid":false,"given":"Luis","family":"Patrao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0001-9337","authenticated-orcid":false,"given":"Eduardo Freire","family":"Rodrigues","sequence":"additional","affiliation":[]}],"member":"1010","published-online":{"date-parts":[[2025,5,15]]},"reference":[{"issue":"12","key":"R1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2021-054659","article-title":"Effect of computerised, knowledge-based, clinical decision support systems on patient-reported and clinical outcomes of patients with chronic disease managed in primary care settings: a systematic review","volume":"11","author":"El Asmar","journal-title":"BMJ Open"},{"issue":"17","key":"R2","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1038\/s41746-020-0221-y","article-title":"An overview of clinical decision support systems: benefits, risks, and strategies for success","volume":"3","author":"Sutton","journal-title":"NPJ Digit Med"},{"issue":"2","key":"R3","doi-asserted-by":"publisher","DOI":"10.1136\/openhrt-2023-002432","article-title":"Harnessing the power of clinical decision support systems: challenges and opportunities","volume":"10","author":"Chen","journal-title":"Open Heart"},{"issue":"3","key":"R4","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD006632.pub2","article-title":"Clinical pathways: effects on professional practice, patient outcomes, length of stay and hospital costs","volume":"17","author":"Rotter","journal-title":"Cochrane Database Syst Rev"},{"issue":"3","key":"R5","doi-asserted-by":"publisher","first-page":"80","DOI":"10.11124\/01938924-200907030-00001","article-title":"The effectiveness of integrated care pathways for adults and children in health care settings: a systematic review","volume":"7","author":"Allen","journal-title":"JBI Libr Syst Rev"},{"key":"R6","unstructured":"Rotter T Jong RB Evans-Lacko S Ronellenfitsch U Kinsman L et al. Clinical pathways as a quality strategy. In: Busse R Klazinga N Panteli D , editors. Improving Healthcare Quality in Europe: Characteristics, Effectiveness and Implementation of Different Strategies [Internet]. European Observatory on Health Systems and Policies; 2019:12. URL: https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK549262\/ [Accessed 09-05-2025]"},{"issue":"3","key":"R7","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/s11897-022-00548-z","article-title":"Digital technologies to support better outcome and experience of care in patients with heart failure","volume":"19","author":"McBeath","journal-title":"Curr Heart Fail Rep"},{"issue":"36","key":"R8","doi-asserted-by":"publisher","first-page":"3599","DOI":"10.1093\/eurheartj\/ehab368","article-title":"2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure","volume":"42","author":"McDonagh","journal-title":"Eur Heart J"},{"issue":"1","key":"R9","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1186\/s43058-022-00326-x","article-title":"Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation","volume":"3","author":"Chen","journal-title":"Implement Sci Commun"},{"issue":"2","key":"R10","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2015-010098","article-title":"What is a medical decision? A taxonomy based on physician statements in hospital encounters: a qualitative study","volume":"6","author":"Ofstad","journal-title":"BMJ Open"},{"issue":"8","key":"R11","doi-asserted-by":"publisher","DOI":"10.2196\/27990","article-title":"A personalized ontology-based decision support system for complex chronic patients: retrospective observational study","volume":"6","author":"Rom\u00e1n-Villar\u00e1n","journal-title":"JMIR Form Res"},{"key":"R12","doi-asserted-by":"publisher","DOI":"10.2196\/55717","article-title":"Impacts of clinical decision support systems on the relationship, communication, and shared decision-making between health care professionals and patients: multistakeholder interview study","volume":"26","author":"Funer","journal-title":"J Med Internet Res"},{"key":"R13","doi-asserted-by":"publisher","DOI":"10.2196\/51024","article-title":"Applications of clinical decision support systems in diabetes care: scoping review","volume":"25","author":"Huang","journal-title":"J Med Internet Res"},{"issue":"10","key":"R14","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1001\/jama.293.10.1223","article-title":"Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review","volume":"293","author":"Garg","journal-title":"JAMA"},{"issue":"100855","key":"R15","doi-asserted-by":"publisher","first-page":"100855","DOI":"10.1016\/j.ajpc.2024.100855","article-title":"Do clinical decision support tools improve quality of care outcomes in the primary prevention of cardiovascular disease: a systematic review and meta-analysis","volume":"20","author":"Buzancic","journal-title":"Am J Prev Cardiol"},{"issue":"7","key":"R16","doi-asserted-by":"publisher","DOI":"10.2196\/13143","article-title":"Implementation of a digitally enabled care pathway (part 2): qualitative analysis of experiences of health care professionals","volume":"21","author":"Connell","journal-title":"J Med Internet Res"},{"issue":"7","key":"R17","doi-asserted-by":"publisher","DOI":"10.2196\/13147","article-title":"Implementation of a digitally enabled care pathway (part 1): impact on clinical outcomes and associated health care costs","volume":"21","author":"Connell","journal-title":"J Med Internet Res"},{"issue":"1","key":"R18","doi-asserted-by":"publisher","first-page":"48","DOI":"10.7326\/M13-1531","article-title":"Health information technology: an updated systematic review with a focus on meaningful use","volume":"160","author":"Jones","journal-title":"Ann Intern Med"}],"container-title":["JMIR Human Factors"],"original-title":[],"language":"en","deposited":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T19:31:42Z","timestamp":1747337502000},"score":1,"resource":{"primary":{"URL":"https:\/\/humanfactors.jmir.org\/2025\/1\/e68581"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"references-count":18,"URL":"https:\/\/doi.org\/10.2196\/68581","relation":{},"ISSN":["2292-9495"],"issn-type":[{"value":"2292-9495","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]},"article-number":"v12i12e68581"}}