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

mHealth in a Clinical Setting (619) Safety and Error Prevention in Health (205) mHealth for Health Administration (147) Mobile tools for surgery and perioperative medicine (83)

Published on in Vol 7, No 4 (2019): April

A Facial Recognition Mobile App for Patient Safety and Biometric Identification: Design, Development, and Validation

A Facial Recognition Mobile App for Patient Safety and Biometric Identification: Design, Development, and Validation

A Facial Recognition Mobile App for Patient Safety and Biometric Identification: Design, Development, and Validation

Authors of this article:

Byoungjun Jeon1 Author Orcid Image ;   Boseong Jeong2 Author Orcid Image ;   Seunghoon Jee2 Author Orcid Image ;   Yan Huang3 Author Orcid Image ;   Youngmin Kim3 Author Orcid Image ;   Gee Ho Park3 Author Orcid Image ;   Jungah Kim4 Author Orcid Image ;   Maierdanjiang Wufuer5 Author Orcid Image ;   Xian Jin5 Author Orcid Image ;   Sang Wha Kim5 Author Orcid Image ;   Tae Hyun Choi6 Author Orcid Image
Article Authors Cited by (28) Tweetations (10) Metrics

Journals

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  5. Mai H, Lee D. Accuracy of Mobile Device–Compatible 3D Scanners for Facial Digitization: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e22228 View
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  9. Talahua J, Buele J, Calvopiña P, Varela-Aldás J. Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic. Sustainability 2021;13(12):6900 View
  10. Khade S, Ahirrao S, Phansalkar S, Kotecha K, Gite S, Thepade S. Iris Liveness Detection for Biometric Authentication: A Systematic Literature Review and Future Directions. Inventions 2021;6(4):65 View
  11. Toney C, Shroyer Mathis M, Martin C. The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity. Journal of Surgical Research 2023;286:104 View
  12. Fontes C, Hohma E, Corrigan C, Lütge C. AI-powered public surveillance systems: why we (might) need them and how we want them. Technology in Society 2022;71:102137 View
  13. AlYaqoub F, AlMubarak S. Moving Toward a Safer Health Care Facility: Improving Patient Identification at a Public Hospital in Saudi Arabia. Quality Management in Health Care 2023;32(2):117 View
  14. Larasati A, Dhamanti I. Literature Review: Implementation of Patient Safety Goals in Hospitals in Indonesia. Media Gizi Kesmas 2021;10(1):138 View
  15. Galetsi P, Katsaliaki K, Kumar S. Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists. Technovation 2023;121:102598 View
  16. Liu A, Urquía-Grande E, López-Sánchez P, Rodríguez-López Á. How technology paradoxes and self-efficacy affect the resistance of facial recognition technology in online microfinance platforms: Evidence from China. Technology in Society 2022;70:102041 View
  17. Mai H, Lee D. Effects of Artificial Extraoral Markers on Accuracy of Three-Dimensional Dentofacial Image Integration: Smartphone Face Scan versus Stereophotogrammetry. Journal of Personalized Medicine 2022;12(3):490 View
  18. Hou X, Xu X, Zhao M, Kong J, Wang M, Lee E, Jia Q, Jiang H. An overview of three‐dimensional imaging devices in dentistry. Journal of Esthetic and Restorative Dentistry 2022;34(8):1179 View
  19. Fontes A, Hohma E, corrigan c, Lütge C. Ai-Powered Public Surveillance Systems: Why We (Might) Need Them and How We Want Them. SSRN Electronic Journal 2022 View
  20. Rangraz Jeddi F, Nabovati E, Mobayen M, Akbari H, Feizkhah A, Motalebi Kashani M, Bagheri Toolaroud P. A Smartphone Application for Caregivers of Children With Severe Burns: A Survey to Identify Minimum Data Set and Requirements. Journal of Burn Care & Research 2023;44(5):1200 View
  21. Reddy S, Mito M, Feldschuh M. A Qualitative Evaluation of the Use of Facial Recognition Technology for Opioid Substitution Treatment in Community Pharmacies. International Journal of Digital Health 2022;2(1):5 View
  22. Silva L, Andrade A, Poveda V. APLICATIVOS MÓVEIS PARA SEGURANÇA DO PACIENTE: REVISÃO DE ESCOPO. Texto & Contexto - Enfermagem 2024;33 View
  23. Sadahide A, Itoh H, Moritou K, Kameyama H, Oda R, Tabuchi H, Kiuchi Y. A Clinical Trial Evaluating the Efficacy of Deep Learning-Based Facial Recognition for Patient Identification in Diverse Hospital Settings. Bioengineering 2024;11(4):384 View
  24. Silva L, Andrade A, Poveda V. MOBILE APPLICATIONS FOR PATIENT SAFETY: A SCOPING REVIEW. Texto & Contexto - Enfermagem 2024;33 View
  25. Wang Y, Pan H. Information collection, public attitudes, and supportive behavior tendencies in the urban digital transformation: a survey experiment in a facial recognition scenario. Journal of Chinese Governance 2024;9(4):483 View
  26. Kim K, Cho K, Eo Y, Kim J, Yun J, Ahn Y, Seo J, Hong G, Kim N. Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study. Journal of Imaging Informatics in Medicine 2024 View

Books/Policy Documents

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  2. Garg P, Sharma S, Singh A, Kumar N. Mathematical Models Using Artificial Intelligence for Surveillance Systems. View