Guralnik Elina
Health Administration and Policy, Health Informatics, George Mason University, Fairfax, USA.
Cureus. 2023 Apr 22;15(4):e37975. doi: 10.7759/cureus.37975. eCollection 2023 Apr.
This study reviews the current utilization of electronic health records (EHRs) for chronic disease surveillance, discusses approaches that are used in obtaining EHR-derived disease prevalence estimates, and identifies health indicators that have been studied using EHR-based surveillance methods. PubMed was searched for relevant keywords: (electronic health records [Title/Abstract] AND surveillance [Title/Abstract]) OR (electronic medical records [Title/Abstract] AND surveillance [Title/Abstract]). Articles were assessed based on detailed inclusion and exclusion criteria and organized by common themes, as per the PRISMA review protocol. The study period was limited to 2015-2021 due to the wider adoption of EHR in the U.S. only since 2015. The review included only US studies and only those that focused on chronic disease surveillance. 17 studies were included in the review. The most common approaches the review identified focused on validating EHR-derived estimates against those from traditional national surveys. The most studied conditions were diabetes, obesity, and hypertension. The majority of reviewed studies demonstrated comparable prevalence estimates with traditional population health surveillance surveys. The most common approach for the estimation of chronic disease conditions was to use small-area estimation by geographic patterns, neighborhoods, or census tracts. The use of EHR-based surveillance systems for public health purposes is feasible, and the population health estimates appear comparable to those obtained through traditional surveillance surveys. The application of EHRs for public health surveillance appears promising and could offer a real-time alternative to traditional surveillance methods. A timely assessment of population health at local and regional levels would ensure a more targeted allocation of public health and healthcare resources as well as more effective intervention and prevention initiatives.
本研究回顾了电子健康记录(EHR)在慢性病监测中的当前应用情况,讨论了用于获取源自EHR的疾病患病率估计值的方法,并确定了使用基于EHR的监测方法进行研究的健康指标。在PubMed中搜索了相关关键词:(电子健康记录[标题/摘要] AND监测[标题/摘要])OR(电子病历[标题/摘要] AND监测[标题/摘要])。根据详细的纳入和排除标准对文章进行评估,并按照PRISMA综述方案按共同主题进行组织。由于美国仅自2015年以来才更广泛地采用EHR,因此研究期限于2015 - 2021年。该综述仅纳入美国的研究,且仅关注慢性病监测的研究。该综述纳入了17项研究。该综述确定的最常见方法侧重于将源自EHR的估计值与传统全国性调查的估计值进行验证。研究最多的疾病是糖尿病、肥胖症和高血压。大多数综述研究表明,其患病率估计值与传统的人群健康监测调查相当。估计慢性病状况最常见的方法是按地理模式、社区或普查区使用小区域估计法。将基于EHR的监测系统用于公共卫生目的是可行的,而且人群健康估计值似乎与通过传统监测调查获得的估计值相当。将EHR应用于公共卫生监测似乎很有前景,并且可以为传统监测方法提供实时替代方案。及时评估地方和区域层面的人群健康状况将确保更有针对性地分配公共卫生和医疗资源,以及更有效的干预和预防举措。