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Citing this Article

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Published on 18.11.15 in Vol 17, No 11 (2015): November

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5094):

(note that this is only a small subset of citations)

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  5. McCarthy S, O'Raghallaigh P, Woodworth S, Lim YY, Kenny LC, Adam F. Embedding the Pillars of Quality in Health Information Technology Solutions Using “Integrated Patient Journey Mapping” (IPJM): Case Study. JMIR Human Factors 2020;7(3):e17416
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  6. . Leveraging FHIR to Integrate Activity Data with Electronic Health Record. Health and Technology 2020;10(1):341
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  7. Neubert S, Geißler A, Roddelkopf T, Stoll R, Sandmann K, Neumann J, Thurow K. Multi-Sensor-Fusion Approach for a Data-Science-Oriented Preventive Health Management System: Concept and Development of a Decentralized Data Collection Approach for Heterogeneous Data Sources. International Journal of Telemedicine and Applications 2019;2019:1
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  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
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  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
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  15. Muntaner-Mas A, Martinez-Nicolas A, Lavie CJ, Blair SN, Ross R, Arena R, Ortega FB. 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
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  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
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  18. Wang E, Zhou L, Chen SK, 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
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  19. Peng C, Goswami P. Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology. Sensors 2019;19(8):1747
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  21. Bellei EA, Biduski D, Lisboa HRK, De Marchi ACB. 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
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  22. Zhou L, Saptono A, Setiawan IMA, 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
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  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
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  27. Young HM, 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
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  29. Brickwood K, Ahuja KDK, Watson G, O'Brien JA, Williams AD. 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
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  30. Srinivasa Rao ASR, Krantz SG. 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)
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  31. Clarke H, Clark S, Birkin M, Iles-Smith H, Glaser A, Morris MA. Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey. Journal of Medical Internet Research 2021;23(5):e24236
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  32. Wickerson L, Helm D, Gottesman C, Rozenberg D, Singer LG, 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
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  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
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  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
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  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
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  36. Alhajri M, Rudolph C, Shahraki AS. A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context. IEEE Access 2022;10:22960
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  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
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  38. Das SK, Rahman MZ. A middleware architecture to integrate and share health data from heterogeneous and diverse data sources. Iran Journal of Computer Science 2022;5(3):267
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  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
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  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
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  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
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  42. Tseng CH, 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
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  43. Georgi N, Corvol A, Le Bouquin Jeannes R. Middleware Architecture for Health Sensors Interoperability. IEEE Access 2018;6:26283
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  44. Lai MYC, Mong MSA, Cheng LJ, 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
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  45. Huang C, Liu JS, Ho MH, Chou T. Towards more convergent main paths: A relevance-based approach. Journal of Informetrics 2022;16(3):101317
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  46. Seneviratne MG, Connolly SB, Martin SS, Parakh K. Grains of Sand to Clinical Pearls: Realizing the Potential of Wearable Data. The American Journal of Medicine 2023;136(2):136
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  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
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  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
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  49. Stevens G, Hantson L, Larmuseau M, Verdonck P. A human-centered, health data-driven ecosystem. Discover Health Systems 2022;1(1)
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  50. Bajaj RK, Meiring RM, 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
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  51. Min J, Tu J, Xu C, Lukas H, Shin S, Yang Y, Solomon SA, Mukasa D, Gao W. Skin-Interfaced Wearable Sweat Sensors for Precision Medicine. Chemical Reviews 2023;123(8):5049
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  52. Bo Y, Liu QB, 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
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  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
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  54. Wegener EK, 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
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  55. El-Tallawy SN, Pergolizzi JV, Vasiliu-Feltes I, Ahmed RS, LeQuang JK, El-Tallawy HN, Varrassi G, Nagiub MS. Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review. Pain and Therapy 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5094):

  1. Theilig M, Werner J, Schoffke F, Zarnekow R. Information Systems. 2020. Chapter 24:317
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  2. . The Ethics of Medical Data Donation. 2019. Chapter 4:55
    CrossRef
  3. . Portable Health Records in a Mobile Society. 2019. Chapter 21:249
    CrossRef
  4. Reda R, Piccinini F, Carbonaro A. Intelligent Systems and Applications. 2019. Chapter 32:399
    CrossRef
  5. Steffen A, Weiss B. Applied Chemoinformatics. 2018. :195
    CrossRef
  6. Beer JM, Owens OL. Aging, Technology and Health. 2018. :237
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  7. Farshchian BA, Vilarinho T. Ambient Intelligence. 2017. Chapter 12:152
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  8. . Type 2 Diabetes - From Pathophysiology to Cyber Systems. 2021. Chapter 18
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  9. Choudhary P, Choudhary AK, Singh AK, Tripathi A. Advances in Smart Communication and Imaging Systems. 2021. Chapter 27:281
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  10. Hussain R, Zainal H, Mohamed Noor DA, Shakeel S. Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. 2023. Chapter 80-1:1
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  11. Hussain R, Zainal H, Mohamed Noor DA, Shakeel S. Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. 2023. Chapter 80:144
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