Improving Allergy Documentation: A Retrospective Electronic Health Record System-Wide Patient Safety Initiative.

OBJECTIVES: Documentation of allergies in a coded, non-free-text format in the electronic health record (EHR) triggers clinical decision support to prevent adverse events. Health system-wide patient safety initiatives to improve EHR allergy documentation by specifically decreasing free-text allergy entries have not been reported. The goal of this initiative was to systematically reduce free-text allergen entries in the EHR allergy module. METHODS: We assessed free-text allergy entries in a commercial EHR used at a multihospital integrated health care system in the greater Boston area. Using both manual and automated methods, a multidisciplinary consensus group prioritized high-risk and frequently used free-text allergens for conversion to coded entries, added new allergen entries, and deleted duplicate allergen entries. Environmental allergies were moved to the patient problem list. RESULTS: We identified 242,330 free-text entries, which included a variety of environmental allergies (42%), food allergies (18%), contrast media allergies (13%), "no known allergy" (12%), drug allergies (2%), and "no contrast allergy" (2%). Most free-text entries were entered by medical assistants in ambulatory settings (34%) and registered nurses in perioperative settings (20%). We remediated a total of 52,206 free-text entries with automated methods and 79,578 free-text entries with manual methods. CONCLUSIONS: Through this multidisciplinary intervention, we identified and remediated 131,784 free-text entries in our EHR to improve clinical decision support and patient safety. Additional strategies are required to completely eliminate free-text allergy entry, and establish systematic, consistent, and safe guidelines for documenting allergies.

Allergic Reactions Captured by Voluntary Reporting.

BACKGROUND: The epidemiology of hospital adverse reactions (ARs), particularly allergic reactions, or hypersensitivity reactions (HSRs), is poorly defined. To determine priorities for allergy safety in healthcare, we identified and described safety reports of allergic reactions. METHODS: We searched the safety report database of a large academic medical center from April 2006 to March 2016 using 101 complete, truncated, and/or misspelled key words related to allergic symptoms, treatments, and culprits (e.g., medications, foods). Patient and event data were summarized for ARs and two types of ARs, HSRs and side effects/toxicities. RESULTS: Among 9111 key word search-identified events, 876 (10%) were ARs, of which 436 (5%) were HSRs and the remaining 440 (5%) were side effect reactions or toxicities. Whereas the most common HSRs were simple cutaneous reactions (83%), the following severe immediate HSRs were also identified: shortness of breath (16%), anaphylaxis (14%), and angioedema (12%). Most HSRs were caused by drugs (81%), with antibiotics (26%), particularly ß-lactams (11%), and vancomycin (8%), commonly implicated. Other causes of drug HSRs included contrast agents (24%), chemotherapeutics (7%), and opioids (6%). Nondrug HSRs were from blood products (8%), latex (3%), and devices (3%). Food reactions were rarely identified (1%). CONCLUSIONS: We identified ARs, HSRs, and side effects/toxicities, contained in a decade of safety reports at an academic medical center. Allergy safety in the healthcare setting should target approaches to common and severe reactions, with a focus on the safe administration of ß-lactams, vancomycin, contrast agents, chemotherapeutics, and opioids. Priority nondrug HSR culprits include blood products, latex, and devices.

Conducting Safety Research Safely: A Policy-Based Approach for Conducting Research with Peer Review Protected Material.

A multidisciplinary team developed a policy-based approach that provides guidance for using peer review protected information for safety research while maintaining peer review privilege. The approach includes project approval by an ad hoc review committee, signed confidentiality agreements by investigators and study staff, early removal of case identification numbers, standards for maintaining data security, and publication of aggregate data without data set sharing. By describing this procedure and embedding into an institutional policy on Data for Performance Improvement, the team encourages other institutions to develop similar policies consistent with their state regulations.