Published on in Vol 17, No 8 (2015): August

More Than Telemonitoring: Health Provider Use and Nonuse of Life-Log Data in Irritable Bowel Syndrome and Weight Management

More Than Telemonitoring: Health Provider Use and Nonuse of Life-Log Data in Irritable Bowel Syndrome and Weight Management

More Than Telemonitoring: Health Provider Use and Nonuse of Life-Log Data in Irritable Bowel Syndrome and Weight Management

Journals

  1. Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929 View
  2. Otiono J, Olaosebikan M, Shaer O, Nov O, Ball M. Understanding Users Information Needs and Collaborative Sensemaking of Microbiome Data. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  3. Lee J, Kwon H. Redundancy Analysis and Elimination on Access Patterns of the Windows Applications Based on I/O Log Data. IEEE Access 2020;8:40640 View
  4. Schroeder J, Karkar R, Murinova N, Fogarty J, Munson S. Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(4):1 View
  5. Lordon R, Mikles S, Kneale L, Evans H, Munson S, Backonja U, Lober W. How patient-generated health data and patient-reported outcomes affect patient–clinician relationships: A systematic review. Health Informatics Journal 2020;26(4):2689 View
  6. Grando A, Ivanova J, Hiestand M, Soni H, Murcko A, Saks M, Kaufman D, Whitfield M, Dye C, Chern D, Maupin J. Mental health professional perspectives on health data sharing: Mixed methods study. Health Informatics Journal 2020;26(3):2067 View
  7. Korhonen O, Väyrynen K, Krautwald T, Bilby G, Broers H, Giunti G, Isomursu M. Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e18508 View
  8. Chung C, Wang Q, Schroeder J, Cole A, Zia J, Fogarty J, Munson S. Identifying and Planning for Individualized Change. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(1):1 View
  9. Jacob C, Sanchez-Vazquez A, Ivory C. Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study. JMIR mHealth and uHealth 2020;8(9):e20203 View
  10. Bellei E, Biduski D, Lisboa H, De Marchi A. Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus. Telemedicine and e-Health 2020;26(2):205 View
  11. Summers C, Curtis K. Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes. JMIR Diabetes 2020;5(1):e15030 View
  12. Häikiö J, Yli-Kauhaluoma S, Pikkarainen M, Iivari M, Koivumäki T. Expectations to data: Perspectives of service providers and users of future health and wellness services. Health and Technology 2020;10(3):621 View
  13. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5 View
  14. Kim Y, Lee B, Choe E. Investigating data accessibility of personal health apps. Journal of the American Medical Informatics Association 2019;26(5):412 View
  15. Jacob C, Sanchez-Vazquez A, Ivory C. Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review. JMIR mHealth and uHealth 2020;8(2):e15935 View
  16. Zia J, Chung C, Schroeder J, Munson S, Kientz J, Fogarty J, Bales E, Schenk J, Heitkemper M. The feasibility, usability, and clinical utility of traditional paper food and symptom journals for patients with irritable bowel syndrome. Neurogastroenterology & Motility 2017;29(2):e12935 View
  17. Wang H, Gao Y, Ji L, Bai W. Soleus muscle H-reflex monitoring in endoscopic surgery under general anesthesia percutaneous interlaminar approach. Experimental and Therapeutic Medicine 2018 View
  18. Helsel B, Williams J, Lawson K, Liang J, Markowitz J. Telemedicine and Mobile Health Technology Are Effective in the Management of Digestive Diseases: A Systematic Review. Digestive Diseases and Sciences 2018;63(6):1392 View
  19. Schroeder J, Karkar R, Fogarty J, Kientz J, Munson S, Kay M. A Patient-Centered Proposal for Bayesian Analysis of Self-Experiments for Health. Journal of Healthcare Informatics Research 2019;3(1):124 View
  20. Granja C, Janssen W, Johansen M. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235 View
  21. Hyer S. Practice patterns of nurse practitioners related to weight management in primary care. Journal of the American Association of Nurse Practitioners 2019;31(4):236 View
  22. Ng A, Reddy M, Zalta A, Schueller S. Veterans’ Perspectives on Fitbit Use in Treatment for Post-Traumatic Stress Disorder: An Interview Study. JMIR Mental Health 2018;5(2):e10415 View
  23. Karkar R, Kocielnik R, Zhang X, Zia J, Ioannou G, Munson S, Fogarty J. Beacon. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(3):1 View
  24. Zia J, Chung C, Xu K, Dong Y, Schenk J, Cain K, Munson S, Heitkemper M. Inter-Rater Reliability of Provider Interpretations of Irritable Bowel Syndrome Food and Symptom Journals. Journal of Clinical Medicine 2017;6(11):105 View
  25. Hallgren K, Bauer A, Atkins D. Digital technology and clinical decision making in depression treatment: Current findings and future opportunities. Depression and Anxiety 2017;34(6):494 View
  26. Irfan Khan A, Gill A, Cott C, Hans P, Steele Gray C. mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience. JMIR mHealth and uHealth 2018;6(8):e171 View
  27. Ng A, Kornfield R, Schueller S, Zalta A, Brennan M, Reddy M. Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  28. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513 View
  29. Jones S, Kelly R. Dealing With Information Overload in Multifaceted Personal Informatics Systems. Human–Computer Interaction 2018;33(1):1 View
  30. Berry A, Lim C, Hartzler A, Hirsch T, Ludman E, Wagner E, Ralston J. "It's good to know you're not a stranger every time". Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1 View
  31. Gay V, Leijdekkers P. Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability. Journal of Medical Internet Research 2015;17(11):e260 View
  32. Munson S, Schroeder J, Karkar R, Kientz J, Chung C, Fogarty J. The Importance of Starting With Goals in N-of-1 Studies. Frontiers in Digital Health 2020;2 View
  33. Roberts K, Boland M, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento R, Backonja U, Yu K, Jiang Y, Brennan P. Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. Journal of the American Medical Informatics Association 2017;24(e1):e185 View
  34. Schmalz O, Jacob C, Ammann J, Liss B, Iivanainen S, Kammermann M, Koivunen J, Klein A, Popescu R. Digital Monitoring and Management of Patients With Advanced or Metastatic Non-Small Cell Lung Cancer Treated With Cancer Immunotherapy and Its Impact on Quality of Clinical Care: Interview and Survey Study Among Health Care Professionals and Patients. Journal of Medical Internet Research 2020;22(12):e18655 View
  35. Bhat K, Kumar N. Sociocultural Dimensions of Tracking Health and Taking Care. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW2):1 View
  36. Dunn M, Kappus M, Bloomer P, Duarte-Rojo A, Josbeno D, Jakicic J. Wearables, Physical Activity, and Exercise Testing in Liver Disease. Seminars in Liver Disease 2021 View
  37. Kumar D, Jeuris S, Bardram J, Dragoni N. Mobile and Wearable Sensing Frameworks for mHealth Studies and Applications. ACM Transactions on Computing for Healthcare 2021;2(1):1 View
  38. Pichon A, Schiffer K, Horan E, Massey B, Bakken S, Mamykina L, Elhadad N. Divided We Stand. Proceedings of the ACM on Human-Computer Interaction 2021;4(CSCW3):1 View
  39. Luo Y, Oh C, Jean B, Choe E. Interrelationships Between Patients’ Data Tracking Practices, Data Sharing Practices, and Health Literacy: Onsite Survey Study. Journal of Medical Internet Research 2020;22(12):e18937 View
  40. Ozkaynak M, Valdez R, Hannah K, Woodhouse G, Klem P. Understanding Gaps Between Daily Living and Clinical Settings in Chronic Disease Management: Qualitative Study. Journal of Medical Internet Research 2021;23(2):e17590 View
  41. Jones S, Hue W, Kelly R, Barnett R, Henderson V, Sengupta R. Determinants of Longitudinal Adherence in Smartphone-Based Self-Tracking for Chronic Health Conditions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(1):1 View

Books/Policy Documents

  1. Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. View
  2. Stephani V, Geissler A, Busse R. Kooperation und Integration – das unvollendete Projekt des Gesundheitssystems. View
  3. Tong H, Zhang M, Soleimaninejadian P, Zhang Q, Wu K, Liu Y, Ma S. Information Retrieval. View