CDS alert malfunctions are frequent. The empirically derived taxonomy formalizes the common recurring issues that cause these malfunctions, helping CDS developers anticipate and prevent CDS malfunctions before they occur or detect and resolve them expediently.
We identified and investigated several CDSS malfunctions at Brigham and Women’s Hospital and present them as a case series. We also conducted a preliminary survey of Chief Medical Information Officers to assess the frequency of such malfunctions.
The Safety Assurance Factors for EHR Resilience (SAFER) guides were released in 2014 to help health systems conduct proactive risk assessment of electronic health record (EHR)- safety related policies, processes, procedures, and configurations. The extent to which SAFER recommendations are followed is unknown.
Problem inference alerts significantly increase notation of important patient problems in primary care, which in turn has the potential to facilitate quality improvement.
A series of activities are performed by sites strong in CDS, and sites adopting CDS should ensure they incorporate these activities into their efforts.
Currently, there is no standard of care covering which DDI alerts to implement or how to display them to providers. Opportunities to improve DDI alerting include using differential displays based on DDI severity, establishing improved lists of clinically significant DDIs, and thoroughly reviewing organizational implementation decisions regarding DDIs.
Objective Clinical decision support (CDS) is essential for delivery of high-quality, cost-effective, and safe healthcare. The authors sought to evaluate the CDS capabilities across electronic health record (EHR) systems. Methods We evaluated the CDS implementation capabilities of 8 Office of the National Coordinator for Health Information Technology Authorized Certification Body […]
We have identified 5 use cases that comprise a useful definition of an “open or interoperable electronic health record (EHR).”
A JAMIA article by Dean Sittig and Adam Wright proposes use cases of exactly what determines whether a given EHR is “open” or “interoperable,” which hopefully will squelch the bleating of robotic vendor CEOs who insist on abusing the term to mean “whatever we’re selling at the moment.” The authors […]
Research published in the Journal of the American Medical Informatics Association finds that the laboratory graphs displayed by many commercial electronic health records present information in potentially dangerous ways and could create serious safety problems. The authors urged ONC to stringently oversee testing of the software. Read the complete article: […]
