Published on in Vol 5, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23190, first published .
Mobile App–Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis

Mobile App–Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis

Mobile App–Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis

Journals

  1. Polsky M, Moraveji N. Post-acute care management of a patient with COVID-19 using remote cardiorespiratory monitoring. Respiratory Medicine Case Reports 2021;33:101436 View
  2. Mantena S, Keshavjee S. Strengthening healthcare delivery with remote patient monitoring in the time of COVID-19. BMJ Health & Care Informatics 2021;28(1):e100302 View
  3. Kongsted A, Jensen T, Doktor K, Hestbæk L. Effects of weekly pain monitoring on back pain outcomes: a non-randomised controlled study. Chiropractic & Manual Therapies 2021;29(1) View
  4. Timurzieva A, Sadikov I. Prospects of Raman-fluorescent medical technologies as early detection of inflammatory and tumor head and neck diseases for improving quality of medical care: short review and original data. Medical alphabet 2022;(3):41 View
  5. Gijsbers H, Feenstra T, Eminovic N, van Dam D, Nurmohamed S, van de Belt T, Schijven M. Enablers and barriers in upscaling telemonitoring across geographic boundaries: a scoping review. BMJ Open 2022;12(4):e057494 View
  6. Mbiine R, Nakanwagi C, Lekuya H, Aine J, Hakim K, Nabunya L, Tomusange H. An Early Warning Mobile Health Screening and Risk Scoring App for Preventing In-Hospital Transmission of COVID-19 by Health Care Workers: Development and Feasibility Study. JMIR Formative Research 2021;5(12):e27521 View
  7. Lieser T, Huang Y, Sezgin E. The Current State of Mobile Apps Owned by Large Pediatric Hospitals in the United States: Systematic Search and Analysis on Google Play and Apple App Stores. JMIR Pediatrics and Parenting 2022;5(4):e38940 View
  8. Ulaszewska K, Jodczyk A, Długołęcki P, Emerla S, Stańska W, Kasiak P, Gąsior J, Parol D, Mamcarz A, Śliż D. Factors Associated with Willingness to Receive a COVID-19 Vaccine in Adult Polish Population—A Cross-Sectional Survey. Vaccines 2022;10(10):1715 View
  9. Biancuzzi H, Dal Mas F, Bidoli C, Pegoraro V, Zantedeschi M, Negro P, Campostrini S, Cobianchi L. Economic and Performance Evaluation of E-Health before and after the Pandemic Era: A Literature Review and Future Perspectives. International Journal of Environmental Research and Public Health 2023;20(5):4038 View
  10. Cordero Tous N, Santos Martín L, Sánchez Corral C, Román Cutillas A, Núñez Alfonsel B, Román Moyano M, Horcajadas Almansa Á. Desarrollo de una solución integrada para pacientes con dolor crónico portadores de neuroestimulador en tiempos del COVID-19: una aplicación para móvil con centro de soporte. Neurocirugía 2022;33(6):318 View
  11. Lee C, Hsiung Y, Chi L, Huang J, Chen H. “Help me fight my constant battle”: A focus group study of overweight and obese women's mHealth app experiences to manage gestational weight gain. Midwifery 2023;116:103552 View
  12. Thompson J, Hersch D, Miner M, Melnik T, Adam P. Remote Patient Monitoring for COVID-19: A Retrospective Study on Health Care Utilization. Telemedicine and e-Health 2023;29(8):1179 View
  13. Cordero Tous N, Santos Martín L, Sánchez Corral C, Román Cutillas A, Núñez Alfonsel B, Román Moyano M, Horcajadas Almansa Á. Development of an integrated solution for patients with neurostimulator for chronic pain in times of COVID-19: A mobile application with a support center. Neurocirugía (English Edition) 2022;33(6):318 View
  14. Valentine S, Cunningham A, Klasmer B, Dabbah M, Balabanovic M, Aral M, Vahdat D, Plans D. Smartphone movement sensors for the remote monitoring of respiratory rates: Technical validation. DIGITAL HEALTH 2022;8:205520762210890 View
  15. Nashat H, Habibi H, Heng E, Nicholson C, Gledhill J, Obika B, Yassaee A, Markides V, McCleery P, Gatzoulis M. Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study. International Journal of Cardiology 2022;362:68 View
  16. Zhao S, Cao Y, Cao H, Liu K, Lv X, Zhang J, Li Y, Davidson P. Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation. Frontiers in Psychology 2022;13 View
  17. Gijsbers H, Kleiss J, Nurmohamed S, van de Belt T, Schijven M, Bekker M, Buijs M, Buskens E, Chavannes N, van Dam D, van Eldik N, Goossens J, Janssen M, Kasteleyn M, Kool R, Lachkar T, Lahr M, Martens H, Metting E, Silven A, Snoeren M, van der Steen M, Verdonck - de Leeuw I, Venema Taat N, Visser J, Willems S, van Zwieten V. Upscaling telemonitoring in Dutch University Medical Centres: A baseline measurement. International Journal of Medical Informatics 2023;175:105085 View
  18. Majoor K, Vorselaars A. Home monitoring of coronavirus disease 2019 patients in different phases of disease. Current Opinion in Pulmonary Medicine 2023;29(4):293 View
  19. Aldosari N, Ahmed S, McDermott J, Stanmore E. The Use of Digital Health by South Asian Communities: Scoping Review. Journal of Medical Internet Research 2023;25:e40425 View
  20. Bidoli C, Pegoraro V, Dal Mas F, Bagnoli C, Bert F, Bonin M, Butturini G, Cobianchi L, Cordiano C, Minto G, Pilerci C, Stocco P, Zantedeschi M, Campostrini S. Virtual hospitals: The future of the healthcare system? An expert consensus. Journal of Telemedicine and Telecare 2023 View
  21. Cha D. Digital healthcare: the new frontier of holistic and efficient care. Clinical and Experimental Emergency Medicine 2023;10(2):235 View
  22. Benmessaoud C, Pfisterer K, De Leon A, Saragadam A, El-Dassouki N, Young K, Lohani R, Xiong T, Pham Q. Design of a Dyadic Digital Health Module for Chronic Disease Shared Care: Development Study. JMIR Human Factors 2023;10:e45035 View
  23. D’Amore S, Mckie M, Fahey A, Bleloch D, Grillo G, Hughes M, Ramaswami U. Fabry App: the value of a portable technology in recording day-to-day patient monitored information in patients with Fabry disease. Orphanet Journal of Rare Diseases 2024;19(1) View
  24. Ullman A, Larsen E, Gibson V, Binnewies S, Ohira R, Marsh N, Mcbride C, Winterbourn K, Boyte F, Cunninghame J, Dufficy M, Plummer K, Roberts N, Takashima M, Cooke M, Byrnes J, Rickard C, Kleidon T. An mHealth application for chronic vascular access: A multi‐method evaluation. Journal of Clinical Nursing 2024;33(5):1762 View
  25. Xiong T, Benmessaoud C, Pfisterer K, El-Dassouki N, Lohani R, Young K, Pham Q. Applying the blended KTA-Sprint framework to a usability assessment of a digital health module for informal caregivers co-managing heart failure. Human Factors in Healthcare 2024;6:100081 View
  26. Aydin A, Gürsoy A. Nurse-led support impact via a mobile app for breast cancer patients after surgery: a quasi-experimental study (step 2). Supportive Care in Cancer 2024;32(9) View
  27. Buckley C, Malcolm R, Hanlon J, Ayatollahi H. Economic impact of a vision-based patient monitoring system across five NHS mental health trusts. PLOS Digital Health 2024;3(9):e0000559 View
  28. Cornelis J, Christiaens W, de Meester C, Mistiaen P. Remote Patient Monitoring at Home in Patients With COVID-19: Narrative Review. JMIR Nursing 2024;7:e44580 View
  29. Kiwan O, Al-Kalbani M, Rafie A, Hijazi Y. Artificial intelligence in plastic surgery, where do we stand?. JPRAS Open 2024;42:234 View
  30. Chabiera P, Holtz S, Köhler S, Deutsch K, Oftring Z, Lawin D, Vogelmeier C, Dauletbayev N, Niekrenz L, Dreher M, Gloeckl R, Koczulla R, Rohde G, Gerlach F, Kuhn S, Müller B. Hausärztliches Telemonitoring bei akuten Erkrankungen am Beispiel von COVID-19 – qualitative Interviewstudie. Zeitschrift für Allgemeinmedizin 2024 View
  31. Arora V, Mishra S, Joshi A, Singhal M, Sahoo J. Aiding Clinical Decision-Making at the Individual and Community Level Using Mobile Sensor Data: Study Protocol for an Experimental Design. Cureus 2024 View

Books/Policy Documents

  1. Çaliş H, Cüce İ, Polat E, Hopcan S, Yaprak E, Karabaş Ç, Çelik İ, Demir F. Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines. View
  2. Manimegalai D, Gunasekari R, Sujatha S, Karthikeyan M, Umasankar A. Technologies for Sustainable Healthcare Development. View
  3. Micklewright T. Digital Health. View