Overview:

The Division of Clinical Data Analytics and Decision Support provides timely, targeted, meaningful data analytics and clinical decision support for the purposes of research, clinical care and quality improvement at the University of Arizona College of Medicine – Phoenix and associated institutions. The Division of Clinical Data Analytics and Decision Support resides in the Department of Medicine and is associated with the Department of Biomedical Informatics at the UA College of Medicine – Phoenix. Clinical decision support systems (CDSS) use innovative algorithm-based software incorporated into electronic medical records (EMR) to manage the massive amounts of medical data and scientific evidence to augment the awareness and expert knowledge of clinicians and guide their decision-making process for each patient. The goal of CDSS is to provide pertinent and timely information at the point of care. CDSS is an evolving technology with the potential for wide applicability to individualize and improve patient outcomes and health care resource utilization, but, as with any new intervention, it requires thoughtful design, implementation and critical evaluation.

The quantity and quality of clinical data, including electronic health records, disease registries, patient surveys and information exchanges are rapidly expanding. Rapid access to robust, reliable and meaningful clinical data dramatically improves the rate at which translational and interprofessional research and quality improvement can progress. The Division collects and organizes relevant data from many clinical databases for purposes of designing and performing research studies, implementing decision support tools and performing quality improvement in health care delivery.

Clinical decision support systems (CDSS) use innovative algorithm-based software incorporated into electronic medical records (EMR) to manage the massive amounts of medical data and scientific evidence to augment the awareness and expert knowledge of clinicians and guide their decision-making process for each patient. The goal of CDSS is to provide pertinent and timely information at the point of care. CDSS is an evolving technology with the potential for wide applicability to individualize and improve patient outcomes and health care resource utilization, but, as with any new intervention, it requires thoughtful design, implementation and critical evaluation.

Many EMRs in use in the U.S. fail to provide guidance relevant to the specific patient receiving care, present data poorly and cause alert fatigue to health care providers. A key goal of the Division is to ensure that CDSS are perceived and, in fact, are actually helpful to clinicians, rather than an encumbrance that needlessly interrupts health care delivery. Designs incorporate the engagement of all clinicians, including physicians, nurses, pharmacists and other professionals involved in the delivery of health care.

The Program provides:

  • Critical, independent analysis of medical evidence to guide clinical practice.
  • Conduit for research and quality improvement projects, including outcomes evaluation.
  • Access to the Clinical Research Data Warehouse.
  • Meaningful clinical data analytics for translational research.
  • Design of CDSS with stakeholder engagement.
  • Monitoring of CDSS performance, studying how clinicians respond to CDSS advisories and recommendations.
  • Collection and analysis of feedback from clinicians for iterative improvements in CDSS logic and presentation.
  • Leadership in medical education and training in precision medicine, clinical data and decision support systems.