Designing computerized decision support that works for clinicians and families

Alexander G Fiks1

  • 1Pediatric Research Consortium, Center for Biomedical Informatics, Policylab, Division of General Pediatrics at the Children’s Hospital of Philadelphia, Department of Pediatrics at the University of Pennsylvania School of Medicine, Philadelphia, USA.

Insights

Clinical decision support systems improve pediatric care by providing evidence-based information at the point of care. Engaging families alongside clinicians enhances the effectiveness of these health information technology tools.

Area of Science:

  • Pediatric healthcare research
  • Biomedical informatics
  • Health services research

Background:

  • Evidence-based decision-making is crucial in pediatrics, relying on clinical trials and practice guidelines.
  • Clinician adherence to guidelines remains a challenge, hindering optimal patient care.
  • Health information technology, particularly electronic health records, offers solutions to bridge this gap.

Purpose of the Study:

  • To review strategies for effectively implementing clinical decision support systems in pediatrics.
  • To explore how these systems can overcome barriers to evidence-based practice.
  • To examine the evolving role of decision support beyond the clinician.

Main Methods:

  • Review of literature on clinical decision support system design and implementation in pediatrics.
  • Analysis of case examples: computerized physician order entry, immunization alerts, asthma care, and ADHD follow-up.
  • Discussion of strategies for engaging both clinicians and families.

Main Results:

  • Clinical decision support systems, including electronic health records, can deliver evidence-based information to the point of care.
  • Specific applications like order entry and alerts demonstrate potential to improve immunization rates and care delivery.
  • The effectiveness of decision support can be enhanced by including families in the information loop.

Conclusions:

  • Clinical decision support systems are vital tools for improving evidence-based practice in pediatrics.
  • Future evolution of these systems should involve families, not just clinicians.
  • Integrating families into decision support can optimize health outcomes by aligning care with patient and family preferences.

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