scholarly journals Identifying Barriers to and Opportunities for Telehealth Implementation Amidst the COVID-19 Pandemic by Using a Human Factors Approach: A Leap Into the Future of Health Care Delivery? (Preprint)

2020 ◽  
Author(s):  
Tianyi Zhang ◽  
Jarrod Mosier ◽  
Vignesh Subbian

UNSTRUCTURED The extensive uptake of telehealth has considerably transformed health care delivery since the beginning of the COVID-19 pandemic and has imposed tremendous challenges to its large-scale implementation and adaptation. Given the shift in paradigm from telehealth as an alternative mechanism of care delivery to telehealth as an integral part of the health system, it is imperative to take a systematic approach to identifying barriers to, opportunities for, and the overall impact of telehealth implementation amidst the current pandemic. In this work, we apply a human factors framework, the Systems Engineering Initiative for Patient Safety model, to guide our holistic analysis and discussion of telehealth implementation, encompassing the health care work system, care processes, and outcomes.

2018 ◽  
Vol 25 (6) ◽  
pp. 557-562 ◽  
Author(s):  
Tyson Schwab ◽  
John Langell

Background. The rapid adoption of smartphones and software applications (apps) has become prevalent worldwide, making these technologies nearly universally available. Low-cost mobile health (M-health) platforms are being rapidly adopted in both developed and emerging markets and have transformed the health care delivery landscape. Human factors optimization is critical to the safe and sustainable adoption of M-health solutions. The overall goal of engaging human factors requirements in the software app design process is to decrease patient safety risks while increasing usability and productivity for the end user. Methods. An extensive review of the literature was conducted using PubMed and Google search engines to identify best approaches to M-health software design based on human factors and user-centered design to optimize the usability, safety, and efficacy of M-health apps. Extracted data were used to create a health care app development algorithm. Results. A best practice algorithm for the design of mobile apps for global health care, based on the extracted data, was developed. The approach is based on an iterative 4-stage process that incorporates human factors and user-centered design processes. This process helps optimize the development of safe and effective mobile apps for use in global health care delivery and disease prevention. Conclusion. Mobile technologies designed for developing regions offer a potential solution to provide effective, low-cost health care. Applying human factors design principles to global health care app development helps ensure the delivery of safe and effective technologies tailored to the end-users requirements.


Author(s):  
Harold P. Van Cott

Health care delivery is viewed as a complex, people-intensive system whose reliability depends on human performance. Examples of the human errors that occur in health care are described, and human factors interventions and remedies that might be taken to improve reliability and safety are suggested.


2019 ◽  
Vol 17 (8) ◽  
pp. 1424-1427
Author(s):  
John I. Allen ◽  
Leslie B. Aldrich ◽  
Megan A. Adams

2019 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kerm Henriksen ◽  
David Rodrick ◽  
Erin N. Grace ◽  
Marjorie Shofer ◽  
P. Jeffrey Brady

2014 ◽  
Vol 3 (3) ◽  
pp. 159-164 ◽  
Author(s):  
William V Padula ◽  
Michael P Duffy ◽  
Taygan Yilmaz ◽  
Manish K Mishra

2007 ◽  
Vol 22 (S3) ◽  
pp. 431-437 ◽  
Author(s):  
Renata Kopach-Konrad ◽  
Mark Lawley ◽  
Mike Criswell ◽  
Imran Hasan ◽  
Santanu Chakraborty ◽  
...  

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