Published on in Vol 14, No 4 (2012): Jul-Aug

Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health

Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health

Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health

Journals

  1. Daza E, Wac K, Oppezzo M. Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. Healthcare 2019;8(1):6 View
  2. Roth W, Vilardaga R, Wolfe N, Bricker J, McDonell M. Practical considerations in the design and development of smartphone apps for behavior change. Journal of Contextual Behavioral Science 2014;3(4):269 View
  3. Hesse B, Moser R, Riley W. From Big Data to Knowledge in the Social Sciences. The ANNALS of the American Academy of Political and Social Science 2015;659(1):16 View
  4. Kwag K, González-Lorenzo M, Banzi R, Bonovas S, Moja L. Providing Doctors With High-Quality Information: An Updated Evaluation of Web-Based Point-of-Care Information Summaries. Journal of Medical Internet Research 2016;18(1):e15 View
  5. Doades S, Winkelmann Z. Facilitators and Barriers to Mobile Health (mHealth) Application Adoption. Athletic Training & Sports Health Care 2019;11(6):253 View
  6. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android. JMIR mHealth and uHealth 2015;3(1):e8 View
  7. Arevian A, O'Hora J, Rosser J, Mango J, Miklowitz D, Wells K. Patient and Provider Cocreation of Mobile Texting Apps to Support Behavioral Health: Usability Study. JMIR mHealth and uHealth 2020;8(7):e12655 View
  8. Schneider T, Panzera A, Martinasek M, McDermott R, Couluris M, Lindenberger J, Bryant C. Physicians’ perceptions of mobile technology for enhancing asthma care for youth. Journal of Child Health Care 2016;20(2):153 View
  9. Vilardaga R, B. Bricker J, G. McDonell M. The promise of mobile technologies and single case designs for the study of individuals in their natural environment. Journal of Contextual Behavioral Science 2014;3(2):148 View
  10. Miller J, Chih M, Washington E. Conceptualizing a Mobile App for Foster Youth Transitioning to Adulthood: A Mixed-Method Approach. Journal of Technology in Human Services 2016;34(2):145 View
  11. D’Souza A, Pasquini M, Spellecy R. Is ‘informed consent’ an ‘understood consent’ in hematopoietic cell transplantation?. Bone Marrow Transplantation 2015;50(1):10 View
  12. Frumkin H, Bratman G, Breslow S, Cochran B, Kahn Jr P, Lawler J, Levin P, Tandon P, Varanasi U, Wolf K, Wood S. Nature Contact and Human Health: A Research Agenda. Environmental Health Perspectives 2017;125(7) View
  13. Kravitz R, Aguilera A, Chen E, Choi Y, Hekler E, Karr C, Kim K, Phatak S, Sarkar S, Schueller S, Sim I, Yang J, Schmid C. Feasibility, Acceptability, and Influence of mHealth-Supported N-of-1 Trials for Enhanced Cognitive and Emotional Well-Being in US Volunteers. Frontiers in Public Health 2020;8 View
  14. Phillips C, Pollock B. Big Data for Nutrition Research in Pediatric Oncology: Current State and Framework for Advancement. JNCI Monographs 2019;2019(54):127 View
  15. Moja L, Polo Friz H, Capobussi M, Kwag K, Banzi R, Ruggiero F, González-Lorenzo M, Liberati E, Mangia M, Nyberg P, Kunnamo I, Cimminiello C, Vighi G, Grimshaw J, Delgrossi G, Bonovas S. Effectiveness of a Hospital-Based Computerized Decision Support System on Clinician Recommendations and Patient Outcomes. JAMA Network Open 2019;2(12):e1917094 View
  16. Mason A, Boden M, Cucciare M. Prospective associations among approach coping, alcohol misuse and psychiatric symptoms among veterans receiving a brief alcohol intervention. Journal of Substance Abuse Treatment 2014;46(5):553 View
  17. Proudfoot J. The future is in our hands: The role of mobile phones in the prevention and management of mental disorders. Australian & New Zealand Journal of Psychiatry 2013;47(2):111 View
  18. Aryana B, Brewster L, Nocera J. Design for mobile mental health: an exploratory review. Health and Technology 2019;9(4):401 View
  19. Ramkumar P, Muschler G, Spindler K, Harris J, McCulloch P, Mont M. Open mHealth Architecture: A Primer for Tomorrow's Orthopedic Surgeon and Introduction to Its Use in Lower Extremity Arthroplasty. The Journal of Arthroplasty 2017;32(4):1058 View
  20. Sindi S, Calov E, Fokkens J, Ngandu T, Soininen H, Tuomilehto J, Kivipelto M. The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2015;1(3):328 View
  21. Lasorsa I, D’Antrassi P, Ajčević M, Stellato K, Di Lenarda A, Marceglia S, Accardo A. Personalized support for chronic conditions. Applied Clinical Informatics 2016;07(03):633 View
  22. Kim J, Lim S, Min Y, Shin Y, Lee B, Sohn G, Jung K, Lee J, Son B, Ahn S, Shin S, Lee J. Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients. Journal of Medical Internet Research 2016;18(8):e216 View
  23. Bauer A, Thielke S, Katon W, Unützer J, Areán P. Aligning health information technologies with effective service delivery models to improve chronic disease care. Preventive Medicine 2014;66:167 View
  24. Schueller S, Aguilera A, Mohr D. Ecological momentary interventions for depression and anxiety. Depression and Anxiety 2017;34(6):540 View
  25. Wood C, Thomas M, Budd J, Mashamba-Thompson T, Herbst K, Pillay D, Peeling R, Johnson A, McKendry R, Stevens M. Taking connected mobile-health diagnostics of infectious diseases to the field. Nature 2019;566(7745):467 View
  26. Sim I, Tu S, Carini S, Lehmann H, Pollock B, Peleg M, Wittkowski K. The Ontology of Clinical Research (OCRe): An informatics foundation for the science of clinical research. Journal of Biomedical Informatics 2014;52:78 View
  27. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41 View
  28. Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y. Behavioral modeling in weight loss interventions. European Journal of Operational Research 2019;272(3):1058 View
  29. Ramkumar P, Haeberle H, Navarro S, Sultan A, Mont M, Ricchetti E, Schickendantz M, Iannotti J. Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit. Journal of Shoulder and Elbow Surgery 2018;27(7):1198 View
  30. Seltzer E, Goldshear J, Guntuku S, Grande D, Asch D, Klinger E, Merchant R. Patients’ willingness to share digital health and non-health data for research: a cross-sectional study. BMC Medical Informatics and Decision Making 2019;19(1) View
  31. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer J. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156 View
  32. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Herreros-González J. Mobile Apps in Cardiology: Review. JMIR mhealth and uhealth 2013;1(2):e15 View
  33. Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y. Behavioral Modeling in Weight Loss Interventions. SSRN Electronic Journal 2016 View
  34. Simmons L, Wolever R, Bechard E, Snyderman R. Patient engagement as a risk factor in personalized health care: a systematic review of the literature on chronic disease. Genome Medicine 2014;6(2):16 View
  35. Tangmunarunkit H, Hsieh C, Longstaff B, Nolen S, Jenkins J, Ketcham C, Selsky J, Alquaddoomi F, George D, Kang J, Khalapyan Z, Ooms J, Ramanathan N, Estrin D. Ohmage. ACM Transactions on Intelligent Systems and Technology 2015;6(3):1 View
  36. Chindalo P, Karim A, Brahmbhatt R, Saha N, Keshavjee K. Health Apps by Design. International Journal of Handheld Computing Research 2016;7(2):34 View
  37. Kan K, Shaunfield S, Kanaley M, Chadha A, Boon K, Morales L, Davis M, Vojta D, Gupta R. Health provider perspectives of electronic medication monitoring in outpatient asthma care: a qualitative investigation using the consolidated framework for implementation research. Journal of Asthma 2022;59(2):342 View
  38. Tiase V, Hull W, McFarland M, Sward K, Del Fiol G, Staes C, Weir C, Cummins M. Patient-generated health data and electronic health record integration: a scoping review. JAMIA Open 2021;3(4):619 View
  39. Trigo J, Rubio Ó, Martínez-Espronceda M, Alesanco Á, García J, Serrano-Arriezu L. Building Standardized and Secure Mobile Health Services Based on Social Media. Electronics 2020;9(12):2208 View
  40. Giordani P, Perna S, Bianchi A, Pizzulli A, Tripodi S, Matricardi P, Pamucar D. A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood. PLOS ONE 2020;15(11):e0242197 View
  41. Kumar S, Abowd G, Abraham W, al’Absi M, Gayle Beck J, Chau D, Condie T, Conroy D, Ertin E, Estrin D, Ganesan D, Lam C, Marlin B, Marsh C, Murphy S, Nahum-Shani I, Patrick K, Rehg J, Sharmin M, Shetty V, Sim I, Spring B, Srivastava M, Wetter D. Center of excellence for mobile sensor data-to-knowledge (MD2K). Journal of the American Medical Informatics Association 2015;22(6):1137 View
  42. Ghodake G, Shinde S, Kadam A, Saratale R, Saratale G, Syed A, Elgorban A, Marraiki N, Kim D. Biological characteristics and biomarkers of novel SARS-CoV-2 facilitated rapid development and implementation of diagnostic tools and surveillance measures. Biosensors and Bioelectronics 2021;177:112969 View
  43. Vaughn J, Kamkhoad D, Shaw R, Docherty S, Subramaniam A, Shah N. Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data. Journal of the American Medical Informatics Association 2021;28(7):1518 View
  44. Tiase V, Wawrzynski S, Sward K, Del Fiol G, Staes C, Weir C, Cummins M. Provider Preferences for Patient-Generated Health Data Displays in Pediatric Asthma: A Participatory Design Approach. Applied Clinical Informatics 2021;12(03):664 View
  45. Jahn F, Ammenwerth E, Dornauer V, Höffner K, Bindel M, Karopka T, Winter A. A Linked Open Data–Based Terminology to Describe Libre/Free and Open-source Software: Incremental Development Study. JMIR Medical Informatics 2023;11:e38861 View
  46. Matias I, Daza E, Wac K. What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data. DIGITAL HEALTH 2022;8:205520762211207 View
  47. Das C, Mumu A, Ali M, Sarker S, Muyeen S, Das S, Das P, Hasan M, Tasneem Z, Islam M, Islam M, Badal F, Ahamed M, Abhi S. Toward IoRT Collaborative Digital Twin Technology Enabled Future Surgical Sector: Technical Innovations, Opportunities and Challenges. IEEE Access 2022;10:129079 View
  48. Lund B, Wang T. What Does Information Science Offer for Data Science Research?: A Review of Data and Information Ethics Literature. Journal of Data and Information Science 2022;7(4):16 View
  49. Abrahams M, O’Grady R, Prawitt J. Effect of a Daily Collagen Peptide Supplement on Digestive Symptoms in Healthy Women: 2-Phase Mixed Methods Study. JMIR Formative Research 2022;6(5):e36339 View
  50. Kazi K, Ali S, Selby D, McBeth J, van der Veer S, Dixon W. Examining the variability of multiple daily symptoms over time among individuals with multiple long-term conditions (MLTC-M/multimorbidity): An exploratory analysis of a longitudinal smartwatch feasibility study. Journal of Multimorbidity and Comorbidity 2023;13:263355652211501 View
  51. Volkov I, Radchenko G, Tchernykh A. Digital Twins, Internet of Things and Mobile Medicine: A Review of Current Platforms to Support Smart Healthcare. Programming and Computer Software 2021;47(8):578 View
  52. De Rosis S, Pennucci F, Lungu D, Manca M, Nuti S. A continuous PREMs and PROMs Observatory for elective hip and knee arthroplasty: study protocol. BMJ Open 2021;11(9):e049826 View
  53. Van Schalkwyk A, Grobbelaar S, Vermeulen E, Herselman M. A Scoping Review of the Use of Log Data for Evaluating Mobile Apps: Exploring Implications for mHealth Apps. IEEE Access 2022;10:124805 View
  54. Ortiz A, Park Y, Gonzalez-Torres C, Alda M, Blumberger D, Burnett R, Husain M, Sanches M, Mulsant B. Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models. International Journal of Bipolar Disorders 2023;11(1) View
  55. Liang H, Chu Y, Han T. Fortifying Health Care Intellectual Property Transactions With Blockchain. Journal of Medical Internet Research 2023;25:e44578 View
  56. Ikäheimonen A, Triana A, Luong N, Ziaei A, Rantaharju J, Darst R, Aledavood T. Niimpy: A toolbox for behavioral data analysis. SoftwareX 2023;23:101472 View
  57. Rosenberg L, Rigney G, Jemcov A, van Voorst D, Corkum P. Usability of an eHealth sleep education intervention for university students. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Gutierrez M, Moreno R, Rebelo M. Global Health Informatics. View
  2. Kulshrestha V, Verma S. Sensors for Health Monitoring. View
  3. Sun T, Miranda Salgado G. Sustainable Design and Manufacturing 2017. View
  4. . M‐Health: Fundamentals and Applications. View
  5. . M‐Health: Fundamentals and Applications. View
  6. Miranda Salgado G, Sun T. Sustainable Design and Manufacturing 2017. View
  7. Malvey D, Slovensky D. mHealth. View
  8. Nguyen H, Poo D. Social Computing and Social Media. Applications and Analytics. View
  9. Misra R. Reshaping Medical Practice and Care with Health Information Systems. View
  10. Chindalo P, Karim A, Brahmbhatt R, Saha N, Keshavjee K. Health Care Delivery and Clinical Science. View
  11. Gibbings R, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  12. Vyas S, Bhargava D. Smart Health Systems. View
  13. Tasia T, Maga-Nteve C, Tsolakis N, Meditskos G, Mavropoulos T, Vrochidis S. Artificial Intelligence Applications and Innovations. View