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

eHealth Infrastructures (356) Wearable Devices and Sensors (902) Innovations and Technology in Cancer Care (431) Patient-Reported Outcome Measures (PROMs) (294)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9525, first published .
Development of an eHealth System to Capture and Analyze Patient Sensor and Self-Report Data: Mixed-Methods Assessment of Potential Applications to Improve Cancer Care Delivery

Development of an eHealth System to Capture and Analyze Patient Sensor and Self-Report Data: Mixed-Methods Assessment of Potential Applications to Improve Cancer Care Delivery

Development of an eHealth System to Capture and Analyze Patient Sensor and Self-Report Data: Mixed-Methods Assessment of Potential Applications to Improve Cancer Care Delivery

Authors of this article:

Alexander R Lucas1 Author Orcid Image ;   Michael B Bass2 Author Orcid Image ;   Nan E Rothrock2 Author Orcid Image ;   Mary L O'Connor2 Author Orcid Image ;   Mia R Sorkin2 Author Orcid Image ;   Jason Nawyn3 Author Orcid Image ;   Fahd Albinali4 Author Orcid Image ;   Lynne I Wagner1, 5 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

Journals

  1. Battaglia Y, Zerbinati L, Piazza G, Martino E, Massarenti S, Provenzano M, Esposito P, Andreucci M, Storari A, Grassi L. The Use of Demoralization Scale in Italian Kidney Transplant Recipients. Journal of Clinical Medicine 2020;9(7):2119 View
  2. Aapro M, Bossi P, Dasari A, Fallowfield L, Gascón P, Geller M, Jordan K, Kim J, Martin K, Porzig S. Digital health for optimal supportive care in oncology: benefits, limits, and future perspectives. Supportive Care in Cancer 2020;28(10):4589 View
  3. Von Ah D, Brown C, Brown S, Bryant A, Davies M, Dodd M, Ferrell B, Hammer M, Knobf M, Knoop T, LoBiondo-Wood G, Mayer D, Miaskowski C, Mitchell S, Song L, Watkins Bruner D, Wesmiller S, Cooley M. Research Agenda of the Oncology Nursing Society: 2019–2022. Oncology Nursing Forum 2019;46(6):654 View
  4. Kopaev A, Murakhovsky I, Kuchmenko T. Intensification of data processing and obtaining new information on multidimensional signals of the "electronic nose". Proceedings of the Voronezh State University of Engineering Technologies 2020;82(1):247 View
  5. Patel V, Cunning J, Rios-Diaz A, Mauch J, Nathan S, Messa C, Whitely C, Kozak G, Broach R, Fischer J. Prospective Assessment of the Abdominal Hernia-Q (AHQ)—Patient Burden, Reliability, and Longitudinal Assessment of Quality of Life in Hernia Repair. Annals of Surgery 2022;276(6):1039 View
  6. Battaglia Y, Zerbinati L, Belvederi Murri M, Provenzano M, Esposito P, Andreucci M, Storari A, Grassi L. Exploring the Level of Post Traumatic Growth in Kidney Transplant Recipients via Network Analysis. Journal of Clinical Medicine 2021;10(20):4747 View
  7. Mou D, Sisodia R, Castillo-Angeles M, Ladin K, Bergmark R, Pusic A, del Carmen M, Heng M. The Surgeon's Perceived Value of Patient-reported Outcome Measures (PROMs). Annals of Surgery 2022;275(3):500 View
  8. Wu C, Tibbitts D, Beattie Z, Dodge H, Shannon J, Kaye J, Winters-Stone K. Using Continuous Passive Assessment Technology to Describe Health and Behavior Patterns Preceding and Following a Cancer Diagnosis in Older Adults: Proof-of-Concept Case Series Study. JMIR Formative Research 2023;7:e45693 View
  9. Kaseweter K, Nazemi M, Gregoire N, Louw W, Walsh Z, Holtzman S. Physician perspectives on chronic pain management: barriers and the use of eHealth in the COVID-19 era. BMC Health Services Research 2023;23(1) View
  10. Mangion A, Ivasic B, Piller N. The Utilization of e-Health in Lymphedema Care: A Narrative Review. Telemedicine and e-Health 2024;30(2):331 View
  11. Lazarou I, Krooupa A, Nikolopoulos S, Apostolidis L, Sarris N, Papadopoulos S, Kompatsiaris I. Cancer Patients’ Perspectives and Requirements of Digital Health Technologies: A Scoping Literature Review. Cancers 2024;16(13):2293 View
  12. Alpysbay N, Kolesnikova K, Chinibayeva T. Integrating deep learning and reinforcement learning into a digital twin architecture for medical predictions.. Procedia Computer Science 2024;251:627 View

Books/Policy Documents

  1. Siembida E, Salsman J. Psychological Aspects of Cancer. View