Identifying ED patients with previous abnormal HIV or hepatitis C test results who may require additional services

Designing an electronic medical record alert to identify hospitalised patients with HIV: successes and challenges

Objectives

Electronic medical record (EMR) tools can identify specific populations among hospitalised patients, allowing targeted interventions to improve care quality and safety. We created an EMR alert using readily available data elements to identify hospitalised people with HIV (PWH) to facilitate a quality improvement study intended to address two quality/safety concerns (connecting hospitalised PWH to outpatient HIV care and reducing medication errors). Here, we describe the design and implementation of the alert and analyse its accuracy of identifying PWH.

Methods

The EMR alert was designed to trigger for at least one of four criteria: (1) an HIV ICD-10-CM code in a problem list, (2) HIV antiretroviral medication(s) on medication lists, (3) an HIV-1 RNA assay ordered or (4) a positive HIV-antibody result. We used manual chart reviews and an EMR database search to determine the sensitivity and positive predictive value (PPV) of the overall alert and its individual criteria.

Results

Over a 24-month period, the alert functioned as intended, notifying an intervention team and a data abstraction team about admissions of PWH. Manual review of 1634 hospitalisations identified 18 PWH hospitalisations, all captured by the alert (sensitivity 100%, 95% CI 82.4% to 100.0%). Over the 24 months, the alert triggered for 1191 hospitalisations. Of these, 1004 were PWH hospitalisations, PPV=84.3% (95% CI 82.2% to 86.4%). Using fewer criteria (eg, using only ICD-10-CM codes) identified fewer PWH but increased PPV.

Conclusion

An EMR alert effectively identified hospitalised PWH for a quality improvement intervention. Similar alerts might be adapted as tools to facilitate interventions for other chronic diseases.

An electronic health record alert increases human immunodeficiency virus screening and case identification in a high-risk emergency department population

Increased screening for HIV is required to reduce mortality and transmission. Patients with risk factors for HIV may lack access to routine care and emergency departments are an important site for screening and linkage to care. We implemented an electronic health record algorithm to identify patients meeting criteria for HIV screening. Compared to unstructured clinical judgement, the EHR alert increased the number of patients screened and case identification.