Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review.

Συγγραφείς: V S Pakianathan P; Human-Centered Ubiquitous Media Group, Faculty of Mathematics, Informatics and Statistics, LMU Munich, Munich, Germany.; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701., Kumar D; The Maersk Mc-Kinney Moller Institute, The Faculty of Engineering, University of Southern Denmark, Odense, Denmark., Prabath J; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701.; University of Applied Sciences Technikum Wien, Vienna, Austria., Hussein R; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701., Niebauer J; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701.; University Institute of Sports Medicine, Prevention and Rehabilitation, Paracelsus Medical University, Salzburg, Salzburg, Austria., Schmidt A; Human-Centered Ubiquitous Media Group, Faculty of Mathematics, Informatics and Statistics, LMU Munich, Munich, Germany., Smeddinck J; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701.

Πηγή: JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2026 Aug 10; Vol. 14, pp. e85197. Date of Electronic Publication: 2026 Aug 10.

Τύπος έκδοσης: Journal Article; Scoping Review

Στοιχεία περιοδικού: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-5222 (Electronic) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Patient Generated Health Data*/standards , Patient Generated Health Data*/statistics & numerical data , Health Personnel*/psychology , Health Personnel*/statistics & numerical data , Patients*/psychology , Patients*/statistics & numerical data , Decision Making, Shared*, Patient Participation/methods ; Patient Participation/psychology ; Humans ; Digital Health

Artificial intelligence applications using patient-generated health data for pre-care processes in elective healthcare: a systematic review.

Συγγραφείς: Warren T; IQ Health Science Department, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Research and Development Department, Interactive Studios, Parallelweg 27, 5223 AL 's-Hertogenbosch, the Netherlands. Electronic address: tristan.warren@radboudumc.nl., van der Weegen W; Department of Orthopedic Surgery, Sports & Orthopedics Research Centre, Anna Hospital, Bogardeind 2, 5664 BE Geldrop, the Netherlands., Kool RB; IQ Health Science Department, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands., Hoogendoorn M; Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV Amsterdam, the Netherlands., Timmers T; IQ Health Science Department, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Research and Development Department, Interactive Studios, Parallelweg 27, 5223 AL 's-Hertogenbosch, the Netherlands.

Πηγή: International journal of medical informatics [Int J Med Inform] 2026 Sep 15; Vol. 218, pp. 106525. Date of Electronic Publication: 2026 Jun 03.

Τύπος έκδοσης: Journal Article; Systematic Review; Review

Στοιχεία περιοδικού: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Artificial Intelligence* , Patient Generated Health Data* , Decision Support Systems, Clinical*, Humans ; Digital Health

Implementation and Evaluation of a Social Networking Service-Based Mobile Patient-Generated Health Data System With Direct Electronic Medical Record Integration: Prospective Observational Study.

Συγγραφείς: Choi E; Cardiovascular center, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea, 82 02-2626-3022, 82 02-2626-2024., Lee S; Cardiovascular center, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea, 82 02-2626-3022, 82 02-2626-2024.; Department of Cardiology, College of Medicine, Korea University, Seoul, Republic of Korea., Jeon J; Department of Cardiology, Asan Medical Center, Seoul, Republic of Korea., Kim EJ; Cardiovascular center, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea, 82 02-2626-3022, 82 02-2626-2024.; Department of Cardiology, College of Medicine, Korea University, Seoul, Republic of Korea.

Πηγή: JMIR medical informatics [JMIR Med Inform] 2026 Jun 23; Vol. 14, pp. e81317. Date of Electronic Publication: 2026 Jun 23.

Τύπος έκδοσης: Journal Article; Observational Study; Research Support, Non-U.S. Gov't

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Electronic Health Records*/statistics & numerical data , Patient Generated Health Data*/statistics & numerical data , Social Networking*, Heart Failure/therapy ; Humans ; Female ; Male ; Prospective Studies ; Aged ; Middle Aged ; Surveys and Questionnaires ; Patient Satisfaction ; Digital Health

Identification of Early Signs of Mental Health Disorders in Older Survivors of Cancer Using Patient-Generated Health Data: Observational Study.

Συγγραφείς: Petridis G; Laboratory of Medical Physics & Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Building D, Entrance 8, 3rd Floor, Aristotle University of Thessaloniki Campus, Thessaloniki, 54124, Greece, +30 231 099 9237., Billis A; Laboratory of Medical Physics & Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Building D, Entrance 8, 3rd Floor, Aristotle University of Thessaloniki Campus, Thessaloniki, 54124, Greece, +30 231 099 9237., Meditskos G; School of Informatics, Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece., Tsanousa A; Centre for Research and Technology Hellas, Thessaloniki, Greece., Lagakis P; Laboratory of Medical Physics & Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Building D, Entrance 8, 3rd Floor, Aristotle University of Thessaloniki Campus, Thessaloniki, 54124, Greece, +30 231 099 9237., Naranjo JC; MySphera, Valencia, Spain., Zenóglio de Oliveira J; Capgemini (Portugal), Lisbon, Portugal., Tavares V; Capgemini (Portugal), Lisbon, Portugal., Bamidis PD; Laboratory of Medical Physics & Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Building D, Entrance 8, 3rd Floor, Aristotle University of Thessaloniki Campus, Thessaloniki, 54124, Greece, +30 231 099 9237.

Πηγή: JMIR cancer [JMIR Cancer] 2026 Jun 12; Vol. 12, pp. e75050. Date of Electronic Publication: 2026 Jun 12.

Τύπος έκδοσης: Journal Article; Observational Study; Research Support, Non-U.S. Gov't

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101666844 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-1999 (Electronic) Linking ISSN: 23691999 NLM ISO Abbreviation: JMIR Cancer Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cancer Survivors*/psychology , Cancer Survivors*/statistics & numerical data , Neoplasms*/psychology , Mental Disorders*/diagnosis , Mental Disorders*/etiology , Mental Disorders*/epidemiology , Patient Generated Health Data*, Anxiety/diagnosis ; Depression/diagnosis ; Humans ; Aged ; Female ; Male ; Mental Health ; Digital Health ; Aged, 80 and over

Physicians' Perceptions and Demand Regarding Clinical and Secondary Use of Patient-Generated Health Data: Cross-Sectional Survey.

Συγγραφείς: Park YE; Department of Information Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea., Beck SS; Asian Institute for Bioethics and Health Law, General Complex B/D Graduate School of Public Health, Yonsei University Health System, Seoul, Republic of Korea., Lee Y; Department of Information Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Πηγή: Journal of medical Internet research [J Med Internet Res] 2026 Jun 04; Vol. 28, pp. e86368. Date of Electronic Publication: 2026 Jun 04.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Physicians*/psychology , Attitude of Health Personnel* , Patient Generated Health Data* , Electronic Health Records*, Cross-Sectional Studies ; Humans ; Female ; Male ; Middle Aged ; Adult ; Digital Health

Proposed Schema Extensions and ETL Pathways for Integrating Wearable and Patient-Reported PGHD into OMOP-CDM for Secondary Use.

Συγγραφείς: Abedian S; Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada., Hussein R; Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.

Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1885-1889.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Wearable Electronic Devices* , Patient Reported Outcome Measures* , Patient Generated Health Data*, Humans ; Digital Health

Current methods for analyzing time-series patient-generated health data to assess treatment response: a scoping review.

Συγγραφείς: Banda M; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom.; Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, 10101, Zambia., Bladon S; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom., Al-Attar M; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom., Cahuantzi R; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom., Jenkins DA; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom., Dixon WG; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom.; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, United Kingdom., van der Veer SN; Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9GB, United Kingdom.

Πηγή: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 May 01; Vol. 33 (5), pp. 1065-1076.

Τύπος έκδοσης: Journal Article; Scoping Review

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Patient Generated Health Data*, Humans ; Treatment Outcome ; Digital Health

Supporting Access to Care Through Peripheral Devices and Patient-Generated Health Data: Qualitative Study.

Συγγραφείς: Griffin AC; Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.; Center for Biomedical Informatics Research, School of Medicine, Stanford University, Stanford, CA, United States., Gray C; Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States., Ngo V; New England Geriatric Research Education and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States., Chaudhary C; Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States., Shimada SL; Center for Health Optimization & Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.; Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States.; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States., Midboe AM; Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.; Department of Public Health Sciences, Division of Health Policy and Management, School of Medicine, University of California Davis, Davis, CA, United States., Zulman DM; Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.; Division of Primary Care and Population Health, Department of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.

Πηγή: Journal of medical Internet research [J Med Internet Res] 2026 Apr 06; Vol. 28, pp. e88405. Date of Electronic Publication: 2026 Apr 06.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Health Services Accessibility* , Patient Generated Health Data*, Humans ; United States ; Female ; Male ; Middle Aged ; Qualitative Research ; United States Department of Veterans Affairs ; Aged ; Digital Health ; Remote Patient Monitoring

Exploring approaches to computational representation and classification of user-generated meal logs.

Συγγραφείς: Hu G; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, 10032, United States.; The Data Science Institute, Columbia University, New York, NY, 10032, United States., Anand A; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, 10032, United States., Desai PM; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, 10032, United States., Urteaga I; BCAM-Basque Center for Applied Mathematics & IKERBASQUE-Basque Foundation for Science, Bilbao, Spain., Mamykina L; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, 10032, United States.; The Data Science Institute, Columbia University, New York, NY, 10032, United States.

Πηγή: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 Apr 01; Vol. 33 (4), pp. 836-846.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Meals* , Machine Learning* , Patient Generated Health Data*, Humans ; Classification Algorithms ; Mobile Applications ; Multilayer Perceptrons ; Logistic Models ; Self-Assessment

Screenathon 2.0: human-AI collaborative screening applied to patient-generated health data.

Συγγραφείς: Bergmann J; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Azzi T; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Neeleman R; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Monschau K; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Yazan B; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Jalsovec E; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Westerbeek E; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., Weijdema F; Utrecht University Library, Utrecht University, Utrecht, The Netherlands., de Bruin J; Department of Research and Data Management Services, Information Technology Services, Utrecht University, Utrecht, The Netherlands., Fang Q; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands., van de Schoot R; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands. a.g.j.vandeschoot@uu.nl.

Πηγή: Scientific reports [Sci Rep] 2026 Mar 22; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 22.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Patient Generated Health Data* , Artificial Intelligence*, Humans ; Machine Learning

The Impact of Patient-Generated Health Data From Mobile Health Technologies on Health Care Management and Clinical Decision-Making: Narrative Scoping Review.

Συγγραφείς: Keeling A; Centre for Mathematical Sciences, School of Engineering, Computing and Mathematics, University of Plymouth, Kirkby Place, Drake Circus, Plymouth, PL4 8AA, United Kingdom.; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.; Leverhulme Centre for Demographic Science, University of Oxford, Oxford, United Kingdom., Downey J; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, United Kingdom., Halkes M; Anaesthetics, Torbay and South Devon NHS Foundation Trust, Torbay, United Kingdom., Wei Y; Centre for Mathematical Sciences, School of Engineering, Computing and Mathematics, University of Plymouth, Kirkby Place, Drake Circus, Plymouth, PL4 8AA, United Kingdom.; Exeter Medical School, Faculty of Health and Life Sciences, University of Exeter, South Cloisters, St Luke's Campus, College Road, Exeter, EX1 2LU, United Kingdom, 0441392724929.; NIHR Applied Research Collaboration South West Peninsula, Exeter, United Kingdom.

Πηγή: Journal of medical Internet research [J Med Internet Res] 2025 Dec 19; Vol. 27, pp. e77359. Date of Electronic Publication: 2025 Dec 19.

Τύπος έκδοσης: Journal Article; Scoping Review

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Telemedicine* , Clinical Decision-Making* , Patient Generated Health Data*, Humans

Perceived usefulness, benefits, and needs of patient‑generated health data among older adults after lung cancer surgery.

Συγγραφείς: Cho H; College of Nursing, Research Institue of AI and Nursing Science, Gachon University, Incheon, South Korea. Electronic address: hcho@gachon.ac.kr., Kim Y; College of Nursing, Gyeongsang National University, Jinju, South Korea. Electronic address: yesolkim@gnu.ac.kr., Park BJ; Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, South Korea. Electronic address: BZPARK@yuhs.ac., Choi M; Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, South Korea. Electronic address: MONACHOI@yuhs.ac.

Πηγή: Geriatric nursing (New York, N.Y.) [Geriatr Nurs] 2025 Nov-Dec; Vol. 66 (Pt B), pp. 103614. Date of Electronic Publication: 2025 Sep 09.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Mosby-Yearbook Country of Publication: United States NLM ID: 8309633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3984 (Electronic) Linking ISSN: 01974572 NLM ISO Abbreviation: Geriatr Nurs Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Lung Neoplasms*/surgery , Patient Generated Health Data*, Humans ; Aged ; Male ; Female ; Cross-Sectional Studies ; Surveys and Questionnaires ; Aged, 80 and over

Integrating Garmin Wearable Data into FHIR-Based Health Systems for Improved Interoperability.

Συγγραφείς: Abedian S; The Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada., Yesakov E; Edenlab, Innovative Digital Health Solutions, Estonia., Ostrovskiy S; Edenlab, Innovative Digital Health Solutions, Estonia., Hussein R; The Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.

Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Oct 02; Vol. 332, pp. 185-189.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Health Information Interoperability*/standards , Electronic Health Records*/organization & administration , Wearable Electronic Devices* , Patient Generated Health Data*, Humans ; Systems Integration

Exploring Clinician Experiences With a Digital Platform Supporting Orthopedic Care That Integrates Patient-Generated Health Data: Qualitative Study of Early Users.

Συγγραφείς: Katz DS; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Gooch D; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Price L; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Rauf I; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Pearce O; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.; Trauma and Orthopaedics, Milton Keynes University Hospital, Milton Keynes, United Kingdom., Price B; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.

Πηγή: JMIR human factors [JMIR Hum Factors] 2025 Aug 29; Vol. 12, pp. e65216. Date of Electronic Publication: 2025 Aug 29.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101666561 Publication Model: Electronic Cited Medium: Internet ISSN: 2292-9495 (Electronic) Linking ISSN: 22929495 NLM ISO Abbreviation: JMIR Hum Factors Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Physical Therapists*/psychology , Physical Therapists*/statistics & numerical data , Patient Generated Health Data* , Orthopedics*, Humans ; Qualitative Research ; Male ; Female

Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study.

Συγγραφείς: Khoong EC; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Division of Clinical Informatics and Digital Transformation, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Action Research Center for Health Equity, University of California, San Francisco, San Francisco, CA 94110, United States., Wong J; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Action Research Center for Health Equity, University of California, San Francisco, San Francisco, CA 94110, United States., Garcia F; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Action Research Center for Health Equity, University of California, San Francisco, San Francisco, CA 94110, United States., Olazo K; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Action Research Center for Health Equity, University of California, San Francisco, San Francisco, CA 94110, United States., Miles M; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States., Zeng B; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States., Lyles CR; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Action Research Center for Health Equity, University of California, San Francisco, San Francisco, CA 94110, United States.; Center for Healthcare Policy and Research, University of California, Davis, Davis, CA 95817, United States., Sarkar U; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Division of Clinical Informatics and Digital Transformation, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.; Action Research Center for Health Equity, University of California, San Francisco, San Francisco, CA 94110, United States.

Πηγή: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Aug 01; Vol. 32 (8), pp. 1276-1285.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Safety-net Providers* , Attitude of Health Personnel* , Patient Generated Health Data* , Electronic Health Records* , Attitude to Computers*, Humans ; Qualitative Research ; Female ; Male ; California ; Middle Aged ; Adult ; Interviews as Topic ; Aged ; Professional-Patient Relations

FHIR-Based Information System for Type 1 Diabetes Consultations Based on Patient-Generated Health Data.

Συγγραφείς: Randine P; Department of Computer Science, University of Tromsø - The Arctic University of Norway, Tromsø, Norway., Årsand E; Department of Computer Science, University of Tromsø - The Arctic University of Norway, Tromsø, Norway.; Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.

Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 189-193.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Diabetes Mellitus, Type 1*/diagnosis , Diabetes Mellitus, Type 1*/therapy , Electronic Health Records*/organization & administration , Patient Generated Health Data* , Referral and Consultation*, Humans

Patient-Generated Health Data Elements: Developing a Data Model for Preference-Sensitive Conditions.

Συγγραφείς: Vahteristo A; Department of Health and Social Management, University of Eastern Finland, Finland., Rosenlund M; Department of Health and Social Management, University of Eastern Finland, Finland., Reinikainen N; Department of Health and Social Management, University of Eastern Finland, Finland., Jylhä V; Department of Health and Social Management, University of Eastern Finland, Finland.; Research Centre for Nursing Science and Social and Health Management, Kuopio University Hospital, Wellbeing Services County of North Savo, Finland., Kuusisto H; Department of Health and Social Management, University of Eastern Finland, Finland.; Tampere University Hospital, Finland.

Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 440-444.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Multiple Sclerosis*/therapy , Epilepsy*/therapy , Patient Preference*/statistics & numerical data , Patient Generated Health Data* , Patient Participation* , Decision Making, Shared*, Humans ; Female ; Male

Perceptions and Willingness of Patients and Caregivers on the Utilization of Patient-Generated Health Data: A Cross-Sectional Survey.

Συγγραφείς: Park YE; Department of Information Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul 05505, Republic of Korea., Beck SS; Asian Institute for Bioethics and Health Law, General Complex B/D Yonsei University Health System, Seoul 03722, Republic of Korea., Lee Y; Department of Information Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul 05505, Republic of Korea.

Πηγή: International journal of environmental research and public health [Int J Environ Res Public Health] 2025 Jul 11; Vol. 22 (7). Date of Electronic Publication: 2025 Jul 11.

Τύπος έκδοσης: Journal Article; Research Support, Non-U.S. Gov't

Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Caregivers*/psychology , Patient Generated Health Data*/statistics & numerical data , Patients*/psychology, Humans ; Cross-Sectional Studies ; Male ; Female ; Adult ; Middle Aged ; Aged ; Young Adult ; Adolescent ; Surveys and Questionnaires ; Privacy ; Perception

Developing Infrastructure to Realize the Value of Patient-Generated Health Data in a Large Integrated Health Care System: The Veterans Health Administration Experience.

Συγγραφείς: Newton TJ; Office of Connected Care, Veterans Health Administration, Washington, DC, United States., Shah N; Office of Connected Care, Veterans Health Administration, Washington, DC, United States., Lewis K; Office of Connected Care, Veterans Health Administration, Washington, DC, United States., Zocchi MS; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Center for Health Optimization and Implementation Research (CHOIR), Veterans Affairs Bedford Healthcare System, 200 Springs Road, Bldg. 70, Bedford, MA, 01730, United States, 1 781-687-4737.; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States., Bixler FR; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. Veterans Affairs Hospital, Hines, IL, United States., Etingen B; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Research and Development Service, Dallas Veterans Affairs Medical Center, Dallas, TX, United States.; Peter O'Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, United States., Lipschitz JM; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Robinson SA; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Center for Health Optimization and Implementation Research (CHOIR), Veterans Affairs Bedford Healthcare System, 200 Springs Road, Bldg. 70, Bedford, MA, 01730, United States, 1 781-687-4737.; The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States., Hogan TP; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Center for Health Optimization and Implementation Research (CHOIR), Veterans Affairs Bedford Healthcare System, 200 Springs Road, Bldg. 70, Bedford, MA, 01730, United States, 1 781-687-4737.; Peter O'Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, United States., Shimada SL; eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Center for Health Optimization and Implementation Research (CHOIR), Veterans Affairs Bedford Healthcare System, 200 Springs Road, Bldg. 70, Bedford, MA, 01730, United States, 1 781-687-4737.; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.; Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States.

Πηγή: Journal of medical Internet research [J Med Internet Res] 2025 Jun 06; Vol. 27, pp. e70755. Date of Electronic Publication: 2025 Jun 06.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Delivery of Health Care, Integrated*/organization & administration , United States Department of Veterans Affairs* , Patient Generated Health Data*, United States ; Humans ; Electronic Health Records

Methods to Analyse High Frequency Patient-Generated Health Data to Assess Treatment Response: Scoping Review.

Συγγραφείς: Banda M; The University of Manchester, Manchester, England., Bladon S; The University of Manchester, Manchester, England., Al-Attar M; The University of Manchester, Manchester, England., Cahuantzi R; The University of Manchester, Manchester, England., Jenkins D; The University of Manchester, Manchester, England., Dixon WG; The University of Manchester, Manchester, England., van der Veer SN; The University of Manchester, Manchester, England.

Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 May 15; Vol. 327, pp. 1009-1010.

Τύπος έκδοσης: Journal Article; Scoping Review

Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Patient Generated Health Data*/statistics & numerical data, Humans ; Treatment Outcome