Patient Safety Learning Labs: What are we actually learning

Author(s):  
Shilo Anders ◽  
Emily S. Patterson ◽  
Ken R. Catchpole ◽  
Richard J. Holden ◽  
Ayse Gurses ◽  
...  

Over the last several years, a number of human factors researchers have been integral to the advent and success of AHRQ’s Patient Safety Learning Laboratories (PSLLs). This panel is made up of researchers involved in this program of research and co-chaired by two different project PIs. The goal of this panel is to share what panelists have learned as the engage in this research to address patient safety issues using a systems engineering approach.

Author(s):  
Anping Xie ◽  
Clare Rock ◽  
Yea-Jen Hsu ◽  
Patience Osei ◽  
Jennifer Andonian ◽  
...  

2014 ◽  
Vol 1 (suppl_1) ◽  
pp. S436-S436
Author(s):  
Eric Yanke ◽  
Pascale Carayon ◽  
Caroline Zellmer ◽  
Helene Moriarty ◽  
Nasia Safdar

2018 ◽  
Vol 37 (11) ◽  
pp. 1862-1869 ◽  
Author(s):  
Pascale Carayon ◽  
Abigail Wooldridge ◽  
Bat-Zion Hose ◽  
Megan Salwei ◽  
James Benneyan

Author(s):  
Emily S. Patterson ◽  
Shilo Anders ◽  
Susan Moffatt-Bruce

Our aim was to elicit, label, and prioritize clusters of de-identified patient safety issues experienced during the implementation and upgrade installations of Electronic Health Records (EHRs) in hospitals. Conference participants included clinical personnel (physicians, nurses, pharmacists), human factors experts, patient safety experts, information technology experts from vendors and hospitals, academic experts, graduate students, and other attendees. De-identified reports of patient safety issues were shared via [email protected] by conference and non-conference attendees before and during a 90-minute session featured at the Human Factors in Healthcare International Symposium on March 8, 2017. One submitted example of a reported patient safety issue was provided to the group. During the session, each attendee shared with a partner five concerns and identified their top concern. Subsequently, each two-person group shared with the larger group these issues, which were written by a facilitator onto sticky paper and placed on the walls. The issues were grouped using pre-defined categories and new categories were identified. Next, each participant voted for the highest priority cluster and/or individual patient safety issue using stickers. This paper reports the results of the interactive session, including the labeled and prioritized clusters and illustrative examples for each cluster. These clusters may inform reporting systems and quality improvement initiatives with health information technology where choices made during implementation and upgrades as well as design flaws with EHR technology both contribute and interact to produce potential patient safety issues.


2019 ◽  
Vol 26 (6) ◽  
pp. 553-560 ◽  
Author(s):  
Anuj K Dalal ◽  
Theresa Fuller ◽  
Pam Garabedian ◽  
Awatef Ergai ◽  
Corey Balint ◽  
...  

Abstract We established a Patient Safety Learning Laboratory comprising 2 core and 3 individual project teams to introduce a suite of digital health tools integrated with our electronic health record to identify, assess, and mitigate threats to patient safety in real time. One of the core teams employed systems engineering (SE) and human factors (HF) methods to analyze problems, design and develop improvements to intervention components, support implementation, and evaluate the system of systems as an integrated whole. Of the 29 participants, 19 and 16 participated in surveys and focus groups, respectively, about their perception of SE and HF. We identified 7 themes regarding use of the 12 SE and HF methods over the 4-year project. Qualitative methods (interviews, focus, groups, observations, usability testing) were most frequently used, typically by individual project teams, and generated the most insight. Quantitative methods (failure mode and effects analysis, simulation modeling) typically were used by the SE and HF core team but generated variable insight. A decentralized project structure led to challenges using these SE and HF methods at the project and systems level. We offer recommendations and insights for using SE and HF to support digital health patient safety initiatives.


Author(s):  
Carla J. Alvarado ◽  
Pascale Carayon ◽  
Rollin J. (Terry) Fairbanks ◽  
Shawna J. Perry ◽  
Dean F. Sittig ◽  
...  

The proposed Macroergonomics and Patient Safety panel will address the particular challenges of technology in critical care and emergency medicine and patient safety. Critical care technology remains a driving force in American health care facilities, yet little human factors and systems engineering information is available to improve the design and implementation of these technologies. Given the complexity of the clinical technology and the intricacy of modern critical and emergent medical care, human factors (HF) and macroergonomic analysis (MA) are especially important in the design, implementation, and use of the various technologies. HF and MA should be used to better understand the challenge of developing multi-perspective evaluations for this technology. The panel of experts' presentations and the discussion to follow will address current problems and patient safety and integration of critical technologies.


Sign in / Sign up

Export Citation Format

Share Document