Building the Informatics Infrastructure for Comparative Effectiveness Research (CER): A Review of the Literature

• Published in: Medical care 2012-07, Vol.50 (7), p.S38-S48
• Main Authors: Lopez, Marianne Hamilton, Holve, Erin, Sarkar, Indra Neil, Segal, Courtney
• Format: Article
• Language: English
• Subjects: Clinical Informatics; Clinical research; Comparative analysis; Comparative Effectiveness Research - organization & administration; Computer Security; Confidentiality; Effectiveness; Electronic health records; Gray literature; Health informatics; Humans; Informatics; Information Storage and Retrieval - standards; Informed Consent; Medical informatics; Medical Informatics - organization & administration; Medical Records Systems, Computerized; Medical research; Natural language processing; Observational research; Public health; Research methods
• ISSN: 0025-7079; 1537-1948
• DOI: 10.1097/MLR.0b013e318259becd

Background: Technological advances in clinical informatics have made large amounts of data accessible and potentially useful for research. As a result, a burgeoning literature addresses efforts to bridge the fields of health services research and biomedical informatics. The Electronic Data Methods Forum review examines peer-reviewed literature at the intersection of comparative effectiveness research and clinical informatics. The authors are specifically interested in characterizing this literature and identifying cross-cutting themes and gaps in the literature. Methods: A 3-step systematic literature search was conducted, including a structured search of PubMed, manual reviews of articles from selected publication lists, and manual reviews of research activities based on prospective electronic clinical data. Two thousand four hundred thirty-five citations were identified as potentially relevant. Ultimately, a full-text review was performed for 147 peer-reviewed papers. Results: One hundred thirty-two articles were selected for inclusion in the review. Of these, 88 articles are the focus of the discussion in this paper. Three types of articles were identified, including papers that: (1) provide historical context or frameworks for using clinical informatics for research, (2) describe platforms and projects, and (3) discuss issues, challenges, and applications of natural language processing. In addition, 2 cross-cutting themes emerged: the challenges of conducting research in the absence of standardized ontologies and data collection; and unique data governance concerns related to the transfer, storage, deidentification, and access to electronic clinical data. Finally, the authors identified several current gaps on important topics such as the use of clinical informatics for cohort identification, cloud computing, and single point access to research data.