Published on in Vol 17, No 11 (2015): November

Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability

Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability

Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability

Authors of this article:

Valerie Gay1 Author Orcid Image ;   Peter Leijdekkers1 Author Orcid Image

Journals

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  6. Saripalle R. Leveraging FHIR to Integrate Activity Data with Electronic Health Record. Health and Technology 2020;10(1):341 View
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  11. Ploner N, Neurath M, Schoenthaler M, Zielke A, Prokosch H. Concept to gain trust for a German personal health record system using public cloud and FHIR. Journal of Biomedical Informatics 2019;95:103212 View
  12. Altuve M, Severeyn E. Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2019;13(3):2242 View
  13. Karampela M, Isomursu M, Porat T, Maramis C, Mountford N, Giunti G, Chouvarda I, Lehocki F. The Extent and Coverage of Current Knowledge of Connected Health: Systematic Mapping Study. Journal of Medical Internet Research 2019;21(9):e14394 View
  14. Genes N, Violante S, Cetrangol C, Rogers L, Schadt E, Chan Y. From smartphone to EHR: a case report on integrating patient-generated health data. npj Digital Medicine 2018;1(1) View
  15. Muntaner-Mas A, Martinez-Nicolas A, Lavie C, Blair S, Ross R, Arena R, Ortega F. A Systematic Review of Fitness Apps and Their Potential Clinical and Sports Utility for Objective and Remote Assessment of Cardiorespiratory Fitness. Sports Medicine 2019;49(4):587 View
  16. Dinh-Le C, Chuang R, Chokshi S, Mann D. Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions. JMIR mHealth and uHealth 2019;7(9):e12861 View
  17. Peng C, Goswami P, Bai G. A literature review of current technologies on health data integration for patient-centered health management. Health Informatics Journal 2020;26(3):1926 View
  18. Wang E, Zhou L, Chen S, Hill K, Parmanto B. An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation. JMIR Rehabilitation and Assistive Technologies 2018;5(2):e14 View
  19. Peng C, Goswami P. Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology. Sensors 2019;19(8):1747 View
  20. Meier P, Beinke J, Fitte C, Schulte to Brinke J, Teuteberg F. Generating design knowledge for blockchain-based access control to personal health records. Information Systems and e-Business Management 2021;19(1):13 View
  21. 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
  22. Zhou L, Saptono A, Setiawan I, Parmanto B. Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study. JMIR mHealth and uHealth 2020;8(1):e15060 View
  23. Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219 View
  24. Azarm M, Backman C, Kuziemsky C, Peyton L. Breaking the Healthcare Interoperability Barrier by Empowering and Engaging Actors in the Healthcare System. Procedia Computer Science 2017;113:326 View
  25. . The Vision of Personally Managed Health Data: Barriers, Approaches and Roadmap for the Future. Journal of Biomedical Informatics 2018;81:131 View
  26. Laurie G. Cross-Sectoral Big Data. Asian Bioethics Review 2019;11(3):327 View
  27. Young H, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e16665 View
  28. Abdolkhani R, Gray K, Borda A, DeSouza R. Patient-generated health data management and quality challenges in remote patient monitoring. JAMIA Open 2019;2(4):471 View
  29. Brickwood K, Ahuja K, Watson G, O'Brien J, Williams A. Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(1):e18686 View
  30. Srinivasa Rao A, Krantz S. Come What May, Digital Health Technologies Will Never Be Able to Predict the Emergence of Unknown Viruses and Microorganisms with any Degree of Certainty. Journal of Medical Systems 2020;44(12) View
  31. Clarke H, Clark S, Birkin M, Iles-Smith H, Glaser A, Morris M. Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey. Journal of Medical Internet Research 2021;23(5):e24236 View
  32. Wickerson L, Helm D, Gottesman C, Rozenberg D, Singer L, Keshavjee S, Sidhu A. Telerehabilitation for Lung Transplant Candidates and Recipients During the COVID-19 Pandemic: Program Evaluation. JMIR mHealth and uHealth 2021;9(6):e28708 View
  33. Reda R, Piccinini F, Martinelli G, Carbonaro A. Heterogeneous self-tracked health and fitness data integration and sharing according to a linked open data approach. Computing 2022;104(4):835 View
  34. Drozdowicz M, Ganzha M, Paprzycki M. Semantic Access Control for Privacy Management of Personal Sensing in Smart Cities. IEEE Transactions on Emerging Topics in Computing 2022;10(1):199 View
  35. Skogberg M, Mackiewicz K, Mänd K, Tuuling L, Urdzina-Merca I, Salanterä S, Pakarinen A, Mittal P. Promoting the health and wellbeing of children: A feasibility study of a digital tool among professionals. PLOS ONE 2022;17(3):e0265355 View
  36. Alhajri M, Rudolph C, Shahraki A. A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context. IEEE Access 2022;10:22960 View
  37. Doherty T, Di Pasquale A, Michel J, Del Giudice G. Precision Medicine and Vaccination of Older Adults: From Reactive to Proactive (A Mini-Review). Gerontology 2020;66(3):238 View
  38. Das S, Rahman M. A middleware architecture to integrate and share health data from heterogeneous and diverse data sources. Iran Journal of Computer Science 2022;5(3):267 View
  39. Pilgrim K, Bohnet-Joschko S. Effectiveness of Digital Forced-Choice Nudges for Voluntary Data Donation by Health Self-trackers in Germany: Web-Based Experiment. Journal of Medical Internet Research 2022;24(2):e31363 View
  40. Pilgrim K, Bohnet-Joschko S. Donating Health Data to Research: Influential Characteristics of Individuals Engaging in Self-Tracking. International Journal of Environmental Research and Public Health 2022;19(15):9454 View
  41. Malathi A, Jasim K. Validating the relationship between service quality, patient sensitivity and experience towards medical applications using SERVQUAL. International Journal of Medical Informatics 2022;168:104883 View
  42. Tseng C, Chen R, Tsai S, Wu T, Tsaur W, Chiu H, Yang C, Lo Y. Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study. Journal of Medical Internet Research 2022;24(1):e33399 View
  43. Georgi N, Corvol A, Le Bouquin Jeannes R. Middleware Architecture for Health Sensors Interoperability. IEEE Access 2018;6:26283 View
  44. Lai M, Mong M, Cheng L, Lau Y. The effect of wearable‐delivered sleep interventions on sleep outcomes among adults: A systematic review and meta‐analysis of randomized controlled trials. Nursing & Health Sciences 2023;25(1):44 View
  45. Huang C, Liu J, Ho M, Chou T. Towards more convergent main paths: A relevance-based approach. Journal of Informetrics 2022;16(3):101317 View
  46. Seneviratne M, Connolly S, Martin S, Parakh K. Grains of Sand to Clinical Pearls: Realizing the Potential of Wearable Data. The American Journal of Medicine 2023;136(2):136 View
  47. Kalgotra P, Raja U, Sharda R. Growth in the development of health and fitness mobile apps amid COVID-19 pandemic. DIGITAL HEALTH 2022;8:205520762211290 View
  48. Drake A, Sassoon I, Balatsoukas P, Porat T, Ashworth M, Wright E, Curcin V, Chapman M, Kokciyan N, Modgil S, Sklar E, Parsons S. The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors. Health Informatics Journal 2022;28(2):146045822211023 View
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  50. Bajaj R, Meiring R, Beltran F. Co-Design, Development, and Evaluation of a Health Monitoring Tool Using Smartwatch Data: A Proof-of-Concept Study. Future Internet 2023;15(3):111 View
  51. Min J, Tu J, Xu C, Lukas H, Shin S, Yang Y, Solomon S, Mukasa D, Gao W. Skin-Interfaced Wearable Sweat Sensors for Precision Medicine. Chemical Reviews 2023;123(8):5049 View
  52. Bo Y, Liu Q, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681 View
  53. Zhang B, Shi H, Wang H. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach. Journal of Multidisciplinary Healthcare 2023;Volume 16:1779 View
  54. Wegener E, Kayser L. Smart health technologies used to support physical activity and nutritional intake in fall prevention among older adults: A scoping review. Experimental Gerontology 2023;181:112282 View
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Books/Policy Documents

  1. Theilig M, Werner J, Schoffke F, Zarnekow R. Information Systems. View
  2. Nickel P. The Ethics of Medical Data Donation. View
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  11. Hussain R, Zainal H, Mohamed Noor D, Shakeel S. Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. View