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

Digital Pain Assessment and Management (150) Sensors at Home and Domotics (51) Ubiquitous Health (uHealth) (116)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23943, first published .
Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

Authors of this article:

Roschelle L Fritz1 Author Orcid Image ;   Marian Wilson1 Author Orcid Image ;   Gordana Dermody2 Author Orcid Image ;   Maureen Schmitter-Edgecombe3 Author Orcid Image ;   Diane J Cook3 Author Orcid Image
Article Authors Cited by (15) Tweetations (6) Metrics

Journals

  1. Fritz R, Dermody G. Interpreting Health Events in Big Data Using Qualitative Traditions. International Journal of Qualitative Methods 2020;19:160940692097645 View
  2. Lötsch J, Ultsch A, Mayer B, Kringel D. Artificial intelligence and machine learning in pain research: a data scientometric analysis. PAIN Reports 2022;7(6):e1044 View
  3. Dermody G, Mikus J, Porock D, Sugarman D, Janjua N, How C, Fritz R. Perspectives on Wider Integration of the Health-Assistive Smart Home. Journal of Ageing and Longevity 2022;2(2):140 View
  4. Morita P, Sahu K, Oetomo A. Health Monitoring Using Smart Home Technologies: Scoping Review. JMIR mHealth and uHealth 2023;11:e37347 View
  5. Berger S, Baria A. Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches. Frontiers in Pain Research 2022;3 View
  6. Douthit B, Walden R, Cato K, Coviak C, Cruz C, D'Agostino F, Forbes T, Gao G, Kapetanovic T, Lee M, Pruinelli L, Schultz M, Wieben A, Jeffery A. Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature. Applied Clinical Informatics 2022;13(01):161 View
  7. Zhang J, Qin R, Mu R, Wang X, Tang Y, Sun S. Outsourced Mutual Private Set Intersection Protocol for Edge-Assisted IoT. Security and Communication Networks 2021;2021:1 View
  8. Wilson M, Fritz R, Finlay M, Cook D. Piloting Smart Home Sensors to Detect Overnight Respiratory and Withdrawal Symptoms in Adults Prescribed Opioids. Pain Management Nursing 2023;24(1):4 View
  9. El-Tallawy S, Ahmed R, Nagiub M. Pain Management in the Most Vulnerable Intellectual Disability: A Review. Pain and Therapy 2023;12(4):939 View
  10. Dermody G, Fritz R, Glass C, Dunham M, Whitehead L. Family caregiver readiness to adopt smart home technology to monitor care—Dependent older adults: A qualitative exploratory study. Journal of Advanced Nursing 2024;80(2):628 View
  11. Janevic M, Murnane E, Fillingim R, Kerns R, Reid M. Mapping the Design Space of Technology-Based Solutions for Better Chronic Pain Care: Introducing the Pain Tech Landscape. Psychosomatic Medicine 2023;85(7):612 View
  12. El-Tallawy S, Pergolizzi J, Vasiliu-Feltes I, Ahmed R, LeQuang J, El-Tallawy H, Varrassi G, Nagiub M. Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review. Pain and Therapy 2024;13(3):293 View
  13. Mazzolenis M, Bulat E, Schatman M, Gumb C, Gilligan C, Yong R. The Ethical Stewardship of Artificial Intelligence in Chronic Pain and Headache: A Narrative Review. Current Pain and Headache Reports 2024 View
  14. Anderson E, Lennon M, Kavanagh K, Weir N, Kernaghan D, Roper M, Dunlop E, Lapp L. Predictive Data Analytics in Telecare and Telehealth: A Systematic Scoping Review (Preprint). Online Journal of Public Health Informatics 2024 View
  15. Costanzo M, Smeriglio R, Nuovo S. New technologies and assistive robotics for elderly: A review on psychological variables. Archives of Gerontology and Geriatrics Plus 2024;1(4):100056 View