Designing Computerized Decision Support That Works for Clinicians and Families

Authors, Primary Fiks AG.
Title Primary Designing Computerized Decision Support That Works for Clinicians and Families
Periodical Full Current Problems in Pediatric and Adolescent Health Care
Pub Year 2011
Volume 41
issue 3
Start Page 60-88
Abstract Evidence-based decision-making is central to the practice of pediatrics. Clinical trials and other biomedical research provide a foundation for this process, and practice guidelines, drawing from their results, inform the optimal management of an increasing number of childhood health problems. However, many clinicians fail to adhere to guidelines. Clinical decision support delivered using health information technology, often in the form of electronic health records, provides a tool to deliver evidence-based information to the point of care and has the potential to overcome barriers to evidence-based practice. An increasing literature now informs how these systems should be designed and implemented to most effectively improve outcomes in pediatrics. Through the examples of computerized physician order entry, as well as the impact of alerts at the point of care on immunization rates, the delivery of evidence-based asthma care, and the follow-up of children with attention deficit hyperactivity disorder, the following review addresses strategies for success in using these tools. The following review argues that, as decision support evolves, the clinician should no longer be the sole target of information and alerts. Through the Internet and other technologies, families are increasingly seeking health information and gathering input to guide health decisions. By enlisting clinical decision support systems to deliver evidence-based information to both clinicians and families, help families express their preferences and goals, and connect families to the medical home, clinical decision support may ultimately be most effective in improving outcomes.
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Reference Type(s) Journal Article
Topic Tag(s) Patient-Centered Care;System Approach to Quality and Safety;Health Information Technology
Special Population(s) Children with Special Needs;Children without Special Needs
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