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

Internet of Things (79) Safety and Error Prevention in Health (202)

Published on in Vol 19, No 5 (2017): May

Using a Medical Intranet of Things System to Prevent Bed Falls in an Acute Care Hospital: A Pilot Study

Using a Medical Intranet of Things System to Prevent Bed Falls in an Acute Care Hospital: A Pilot Study

Using a Medical Intranet of Things System to Prevent Bed Falls in an Acute Care Hospital: A Pilot Study

Authors of this article:

Henri U Balaguera1, 2 Author Orcid Image ;   Diana Wise3 Author Orcid Image ;   Chun Yin Ng3 Author Orcid Image ;   Han-Wen Tso4 Author Orcid Image ;   Wan-Lin Chiang4 Author Orcid Image ;   Aimee M Hutchinson1 Author Orcid Image ;   Tracy Galvin1 Author Orcid Image ;   Lee Hilborne5 Author Orcid Image ;   Cathy Hoffman1 Author Orcid Image ;   Chi-Cheng Huang1, 2 Author Orcid Image ;   C Jason Wang6 Author Orcid Image
Article Authors Cited by (15) Tweetations (21) Metrics

Journals

  1. Kang S, Baek H, Jun S, Choi S, Hwang H, Yoo S. Laboratory Environment Monitoring: Implementation Experience and Field Study in a Tertiary General Hospital. Healthcare Informatics Research 2018;24(4):371 View
  2. LeLaurin J, Shorr R. Preventing Falls in Hospitalized Patients. Clinics in Geriatric Medicine 2019;35(2):273 View
  3. Talboom J, Huentelman M. Big data collision: the internet of things, wearable devices and genomics in the study of neurological traits and disease. Human Molecular Genetics 2018;27(R1):R35 View
  4. Matinolli H, Mieronkoski R, Salanterä S. Health and medical device development for fundamental care: Scoping review. Journal of Clinical Nursing 2020;29(11-12):1822 View
  5. Seow J, Chua T, Aloweni F, Lim S, Ang S. Effectiveness of an integrated three‐mode bed exit alarm system in reducing inpatient falls within an acute care setting. Japan Journal of Nursing Science 2022;19(1) View
  6. Jeon S, Ko B, Son S. ROMI: A Real-Time Optical Digit Recognition Embedded System for Monitoring Patients in Intensive Care Units. Sensors 2023;23(2):638 View
  7. Baker P, Roderick M, Baker C. PUP ® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. Journal of Gerontological Nursing 2021;47(10):37 View
  8. Hu H, Chih-Hao L, Du Y, Chen K, Lin H, Lin C. Clinical validation of a real-time medical internet of things system for detecting blood leakage during hemodialysis: A pilot study (Preprint). JMIR Formative Research 2021 View
  9. Yesmin T, Carter M, Gladman A. Internet of things in healthcare for patient safety: an empirical study. BMC Health Services Research 2022;22(1) View
  10. Hu H, Liu C, Du Y, Chen K, Lin H, Lin C. Real-Time Internet of Medical Things System for Detecting Blood Leakage during Hemodialysis Using a Novel Multiple Concentric Ring Sensor. Sensors 2022;22(5):1988 View
  11. Alves R, Colichi R, Lima S. Estratégias tecnológicas voltadas para prevenção de quedas em ambiente hospitalar: revisão integrativa. Acta Paulista de Enfermagem 2023;36 View
  12. Wang Y, Jiang M, He M, Du M. Design and Implementation of an Inpatient Fall Risk Management Information System. JMIR Medical Informatics 2024;12:e46501 View
  13. McNamara B. Nurses' Perceptions of Telemonitoring Devices to Reduce Falls Among Hospitalized Patients: A Literature Review. Journal of Gerontological Nursing 2024;50(4):6 View
  14. Wen M, Chen P, Lin S, Lien C, Tu S, Chueh C, Wu Y, Tan Cheng Kian K, Hsu Y, Bai D. Enhancing Patient Safety Through an Integrated Internet of Things Patient Care System: Large Quasi-Experimental Study on Fall Prevention. Journal of Medical Internet Research 2024;26:e58380 View

Books/Policy Documents

  1. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. View