Creating an immunization content database for knowledge management across clinical systems

Author:

Wen Hamilton1,Mathe Janos L1,Weinberg Stuart T2,Weitkamp Asli Ozdas2,Nelson Scott D2

Affiliation:

1. HealthIT, Vanderbilt University Medical Center, Nashville, TN

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN

Abstract

Abstract Purpose A initiative at an academic medical center to create a single database of immunization-related content to inform the build and configuration of immunization-related knowledge assets across multiple clinical systems is described. Methods Semistructured expert interviews were conducted to ascertain the immunization information needs of the institution’s clinical systems. Based on those needs, an immunization domain model constructed with data available from the Centers for Disease Control and Prevention (CDC) website was developed and used to analyze and compare current immunization-related content from CDC data sources with the content of the institution’s clinical systems. Results Five identified clinical systems that used immunization-related content collectively required 22 unique information concepts, 11 of which were obtainable from CDC vaccine code sets. The proportion of vaccines designated by CDC as active products (i.e., currently available administrable vaccines) that were included in the 5 clinical systems ranged from 59% to 95%; in addition, some non–active-status vaccines were listed as active-status products in the various clinical systems. Upon further review, updates to immunization-related content in the 5 clinical systems were implemented. Conclusion Creating a single database for immunization-related content based on CDC data facilitated an explicit and tractable knowledge management process and helped ensure that clinical systems had correct and current content. The immunization domain model created has the potential to assist in the automated detection of updates and relaying those updates to the applicable clinical systems.

Publisher

Oxford University Press (OUP)

Subject

Health Policy,Pharmacology

Reference16 articles.

1. The era of knowledge in health care;Pavia;Health Care Strateg Manage.,2001

2. Effects of current and future information technologies on the health care workforce;Masys;Health Aff (Millwood).,2002

3. Clinical decision support knowledge management: strategies for success;Khalifa;Stud Health Technol Inform.,2015

4. Clinical decision support systems for the practice of evidence-based medicine;Sim;J Am Med Inform Assoc.,2001

5. Problems and solutions in health care for chronic diseases. A qualitative study with patients and doctors;Ruiz Moral;Aten Primaria.,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3