Direct and Electronic Health Record Access to the Clinical Decision Support for Immunizations in the Minnesota Immunization Information System.

Biomedical informatics insights Pub Date : 2016-12-22 eCollection Date: 2016-01-01 DOI:10.4137/BII.S40208
Sripriya Rajamani, Aaron Bieringer, Stephanie Wallerius, Daniel Jensen, Tamara Winden, Miriam Halstead Muscoplat
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Abstract

Immunization information systems (IIS) are population-based and confidential computerized systems maintained by public health agencies containing individual data on immunizations from participating health care providers. IIS hold comprehensive vaccination histories given across providers and over time. An important aspect to IIS is the clinical decision support for immunizations (CDSi), consisting of vaccine forecasting algorithms to determine needed immunizations. The study objective was to analyze the CDSi presentation by IIS in Minnesota (Minnesota Immunization Information Connection [MIIC]) through direct access by IIS interface and by access through electronic health records (EHRs) to outline similarities and differences. The immunization data presented were similar across the three systems examined, but with varying ability to integrate data across MIIC and EHR, which impacts immunization data reconciliation. Study findings will lead to better understanding of immunization data display, clinical decision support, and user functionalities with the ultimate goal of promoting IIS CDSi to improve vaccination rates.

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直接和电子健康记录访问明尼苏达州免疫信息系统中免疫临床决策支持。
免疫信息系统(IIS)是由公共卫生机构维护的以人群为基础的保密计算机化系统,其中包含来自参与的卫生保健提供者的个人免疫数据。IIS拥有跨提供者和随时间提供的全面疫苗接种历史。IIS的一个重要方面是免疫接种的临床决策支持(CDSi),包括确定所需免疫接种的疫苗预测算法。研究目的是通过IIS接口直接访问和通过电子健康记录(EHRs)访问,分析明尼苏达州IIS(明尼苏达州免疫信息连接[MIIC])的CDSi表现,以概述异同。所提供的免疫数据在检查的三个系统中是相似的,但在MIIC和EHR之间整合数据的能力不同,这影响了免疫数据的协调。研究结果将有助于更好地理解免疫数据显示、临床决策支持和用户功能,最终目标是促进IIS CDSi提高疫苗接种率。
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