From the Division of Allergy and Clinical Immunology, Department of Medicine, Brigham and Women's Hospital.
Partners HealthCare System.
J Patient Saf. 2022 Jan 1;18(1):e108-e114. doi: 10.1097/PTS.0000000000000711.
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.
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.
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.
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.
在电子健康记录(EHR)中以编码、非自由文本格式记录过敏症可触发临床决策支持以预防不良事件。尚未报道在整个医疗系统范围内开展患者安全计划以通过专门减少自由文本过敏条目来改善 EHR 过敏记录的情况。本计划的目标是系统地减少 EHR 过敏模块中的自由文本过敏条目。
我们评估了在马萨诸塞州大波士顿地区多医院综合医疗保健系统中使用的商业 EHR 中的自由文本过敏条目。一个多学科共识小组使用手动和自动方法,为将高风险和常用的自由文本过敏原转换为编码条目、添加新的过敏原条目以及删除重复的过敏原条目进行优先级排序。环境过敏已移至患者问题列表。
我们确定了 242330 个自由文本条目,其中包括各种环境过敏(42%)、食物过敏(18%)、对比剂过敏(13%)、“无已知过敏”(12%)、药物过敏(2%)和“无对比过敏”(2%)。大多数自由文本条目是由门诊环境中的医疗助理(34%)和围手术期环境中的注册护士(20%)输入的。我们使用自动化方法共修复了 52206 个自由文本条目,使用手动方法修复了 79578 个自由文本条目。
通过这种多学科干预,我们确定并修复了我们的 EHR 中的 131784 个自由文本条目,以改善临床决策支持和患者安全。需要采取其他策略来完全消除自由文本过敏条目,并为记录过敏症制定系统、一致和安全的指南。