Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at, first published .
Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study


  1. Zhen J, Marshall J, Nguyen G, Atreja A, Narula N. Impact of Digital Health Monitoring in the Management of Inflammatory Bowel Disease. Journal of Medical Systems 2021;45(2) View
  2. Bhatia A, Maddox T. Remote Patient Monitoring in Heart Failure: Factors for Clinical Efficacy. International Journal of Heart Failure 2021;3(1):31 View
  3. Wei K, Ibrahim N, Kumar A, Jena S, Chew V, Depa M, Mayanil N, Kvedar J, Gaggin H. Habits Heart App for Patient Engagement in Heart Failure Management: Pilot Feasibility Randomized Trial. JMIR mHealth and uHealth 2021;9(1):e19465 View
  4. Veenis J, Radhoe S, Hooijmans P, Brugts J. Remote Monitoring in Chronic Heart Failure Patients: Is Non-Invasive Remote Monitoring the Way to Go?. Sensors 2021;21(3):887 View
  5. Ma X, Li J, Ren X. The efficacy of telemedical care for heart failure: A meta-analysis of randomized controlled trials. The American Journal of Emergency Medicine 2021;47:1 View
  6. Farwati M, Riaz H, Tang W. Digital Health Applications in Heart Failure: a Critical Appraisal of Literature. Current Treatment Options in Cardiovascular Medicine 2021;23(2) View
  7. Rijpkema C, Verweij L, Jepma P, Latour C, Peters R, Scholte Op Reimer W, Buurman B. The course of readmission in frail older cardiac patients. Journal of Advanced Nursing 2021;77(6):2807 View
  8. Liu T, Xie S, Wang Y, Tang J, He X, Yan T, Li K. Effects of App-Based Transitional Care on the Self-Efficacy and Quality of Life of Patients With Spinal Cord Injury in China: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e22960 View
  9. Regmi M, Parajuli P, Tandan N, Bhattarai M, Maini R, Garcia O, Bakare M, Kulkarni A, Robinson R. An assessment of race and gender-based biases among readmission predicting tools (HOSPITAL, LACE, and RAHF) in heart failure population. Irish Journal of Medical Science (1971 -) 2022;191(1):205 View
  10. Shah L, Ding J, Spaulding E, Yang W, Lee M, Demo R, Marvel F, Martin S. Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction. Journal of Cardiovascular Translational Research 2021;14(5):951 View
  11. Senarath S, Fernie G, Roshan Fekr A. Influential Factors in Remote Monitoring of Heart Failure Patients: A Review of the Literature and Direction for Future Research. Sensors 2021;21(11):3575 View
  12. Bucher A, Blazek E, West A. Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study. JMIR Formative Research 2022;6(11):e42343 View
  13. Zhuang M, Concannon D, Manley E. A Framework for Evaluating Dashboards in Healthcare. IEEE Transactions on Visualization and Computer Graphics 2022;28(4):1715 View
  14. Sue-Ling C, Jairath N. Predictors of early heart failure rehospitalization among older adults with preserved and reduced ejection fraction: A review and derivation of a conceptual model. Heart & Lung 2023;58:125 View
  15. Kao D. Electronic Health Records and Heart Failure. Heart Failure Clinics 2022;18(2):201 View
  16. Reamer C, Chi W, Gordon R, Sarswat N, Gupta C, Gaznabi S, White VanGompel E, Szum I, Morton-Jost M, Vaughn J, Larimer K, Victorson D, Erwin J, Halasyamani L, Solomonides A, Padman R, Shah N. Continuous Remote Patient Monitoring in Patients With Heart Failure (Cascade Study): Protocol for a Mixed Methods Feasibility Study. JMIR Research Protocols 2022;11(8):e36741 View
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  18. Victoria‐Castro A, Martin M, Yamamoto Y, Ahmad T, Arora T, Calderon F, Desai N, Gerber B, Lee K, Jacoby D, Melchinger H, Nguyen A, Shaw M, Simonov M, Williams A, Weinstein J, Wilson F. Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation. Clinical Cardiology 2022;45(8):839 View
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  22. Naderi N, Chenaghlou M, Mirtajaddini M, Norouzi Z, Mohammadi N, Amin A, Taghavi S, Pasha H, Golpira R. Predictors of readmission in hospitalized heart failure patients. Journal of Cardiovascular and Thoracic Research 2022;14(1):11 View
  23. Bezerra Giordan L, Tong H, Atherton J, Ronto R, Chau J, Kaye D, Shaw T, Chow C, Laranjo L. The Use of Mobile Apps for Heart Failure Self-management: Systematic Review of Experimental and Qualitative Studies. JMIR Cardio 2022;6(1):e33839 View
  24. Rodríguez Parrado I, Achury Saldaña D. Digital Health Literacy in Patients With Heart Failure in Times of Pandemic. CIN: Computers, Informatics, Nursing 2022;40(11):754 View
  25. Lv J, Zhang M, Fu Y, Chen M, Chen B, Xu Z, Yan X, Hu S, Zhao N. An interpretable machine learning approach for predicting 30-day readmission after stroke. International Journal of Medical Informatics 2023;174:105050 View
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  28. Kuan W, Sim R, Wong W, Dujaili J, Kasim S, Lee K, Teoh S. Economic Evaluations of Guideline-Directed Medical Therapies for Heart Failure With Reduced Ejection Fraction: A Systematic Review. Value in Health 2023;26(10):1558 View
  29. Carter J, Swack N, Isselbacher E, Donelan K, Thorndike A. Feasibility and Acceptability of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Single-Arm Pilot Study. JMIR Cardio 2023;7:e47818 View
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Books/Policy Documents

  1. Mauch J, Thachil V, Tang W. Advances in Cardiovascular Technology. View
  2. Martín-Payo R, Pérez-González S, Menéndez-Pérez C, Martínez-Pinilla E, Fernández Álvarez M. La Universidad que Experimenta. View