Human factors and ergonomics in healthcare delivery: A special issue on health information technology and medication administration safety

2011 ◽  
Vol 41 (4) ◽  
pp. 333-335
Author(s):  
Sandra K. Garrett ◽  
Mohammad T. Khasawneh
2015 ◽  
Vol 24 (01) ◽  
pp. 75-78 ◽  
Author(s):  
MS. Ong ◽  
S. Pelayo ◽  

Summary Objective: To summarize significant contributions to the research on human factors and organizational issues in medical informatics. Methods: An extensive search using PubMed/Medline and Web of Science® was conducted to identify the scientific contributions, published in 2014, to human factors and organizational issues in medical informatics, with a focus on health information technology (HIT) usability. The selection process comprised three steps: (i) 15 candidate best papers were selected by the two section editors, (ii) external reviewers from a pool of international experts reviewed each candidate best paper, and (iii) the final selection of three best papers was made by the editorial board of the IMIA Yearbook. Results: Noteworthy papers published in 2014 describe an efficient, easy to implement, and useful process for detecting and mitigating human factors and ergonomics (HFE) issues of HIT. They contribute to promote the HFE approach with interventions based on rigorous and well-conducted methods when designing and implementing HIT.Conclusion: The application of HFE in the design and implementation of HIT remains limited, and the impact of incorporating HFE principles on patient safety is understudied. Future works should be conducted to advance this field of research, so that the safety and quality of patient care are not compromised by the increasing adoption of HIT.


Work ◽  
2009 ◽  
Vol 33 (2) ◽  
pp. 201-209 ◽  
Author(s):  
Calvin K.L. Or ◽  
Rupa S. Valdez ◽  
Gail R. Casper ◽  
Pascale Carayon ◽  
Laura J. Burke ◽  
...  

Author(s):  
Jason J. Saleem ◽  
Kyle Maddox ◽  
Jennifer Herout ◽  
Kurt Ruark

This practice-oriented paper presents a human-centered design (HCD) framework that we developed to perform a comprehensive evaluation of a new health information technology (HIT) system under development, intended to replace a legacy system. The Department of Veterans Affairs (VA) Veteran Crisis Line (VCL) program provides a vital service in crisis intervention and suicide prevention. VCL staff rely on a Customer Relationship Management (CRM) legacy system, Medora. VCL intended to replace Medora with Microsoft Dynamics 365 (D365) CRM system. Due to wide-spread criticism of D365, the VA Human Factors Engineering (HFE) team engaged in a multi-study, mixed-method HCD evaluation to investigate the legacy system and intended replacement in terms of ability to support VCL staff needs. The HCD framework we developed to perform this evaluation may be adapted for other large-scale HIT transitions and may provide human factors practitioners with guidance to make evidence-based decisions to support (or abandon) such transitions.


Author(s):  
Elizabeth M. Borycki ◽  
Andre W. Kushniruk

Borycki, Elizabeth M.; Kushniruk, Andre W. Health information technology has the potential to greatly improve healthcare delivery. Indeed, in recent years many have argued that introduction of information technology will be essential in order to decrease medical error and increase healthcare safety. In this chapter we review some of the evidence that has accumulated indicating the positive benefits of health information technology for improving safety in healthcare. However, a number of recent studies have indicated that if systems are not designed and implemented properly health information technology may actual inadvertently result in new types of medical errors—technology-induced errors. In this chapter we discuss where such error may arise and propose a model for conceptualizing and diagnosing technology-induced error so that the benefits of technology can be achieved while the likelihood of the occurrence of technology-induced medical error is reduced.


2019 ◽  
Vol 26 (1) ◽  
pp. 642-651
Author(s):  
Laura Schubel ◽  
Danielle L Mosby ◽  
Joseph Blumenthal ◽  
Muge Capan ◽  
Ryan Arnold ◽  
...  

In caring for patients with sepsis, the current structure of electronic health record systems allows clinical providers access to raw patient data without imputation of its significance. There are a wide range of sepsis alerts in clinical care that act as clinical decision support tools to assist in early recognition of sepsis; however, there are serious shortcomings in existing health information technology for alerting providers in a meaningful way. Little work has been done to evaluate and assess existing alerts using implementation and process outcomes associated with health information technology displays, specifically evaluating clinician preference and performance. We developed graphical model displays of two popular sepsis scoring systems, quick Sepsis Related Organ Failure Assessment and Predisposition, Infection, Response, Organ Failure, using human factors principles grounded in user-centered and interaction design. Models will be evaluated in a larger research effort to optimize alert design to improve the collective awareness of high-risk populations and develop a relevant point-of-care clinical decision support system for sepsis.


2017 ◽  
Vol 26 (01) ◽  
pp. 84-91 ◽  
Author(s):  
P. Turner ◽  
A. Kushniruk ◽  
C. Nohr

Summary Objective: To review the developments in human factors (HF) research on the challenges of health information technology (HIT) implementation and impact given the continuing incidence of usability problems and unintended consequences from HIT development and use. Methods: A search of PubMed/Medline and Web of Science® identified HF research published in 2015 and 2016. Electronic health records (EHRs) and patient-centred HIT emerged as significant foci of recent HF research. The authors selected prominent papers highlighting ongoing HF and usability challenges in these areas. This selective rather than systematic review of recent HF research highlights these key challenges and reflects on their implications on the future impact of HF research on HIT. Results: Research provides evidence of continued poor design, implementation, and usability of HIT, as well as technology-induced errors and unintended consequences. The paper highlights support for: (i) strengthening the evidence base on the benefits of HF approaches; (ii) improving knowledge translation in the implementation of HF approaches during HIT design, implementation, and evaluation; (iii) increasing transparency, governance, and enforcement of HF best practices at all stages of the HIT system development life cycle. Discussion and Conclusion: HF and usability approaches are yet to become embedded as integral components of HIT development, implementation, and impact assessment. As HIT becomes ever-more pervasive including with patients as end-users, there is a need to expand our conceptualisation of the problems to be addressed and the suite of tactics and strategies to be used to calibrate our pro-active involvement in its improvement.


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