While numerous research articles provide valuable insights on the potential of electronic health records (EHRs) to improve patient care, there continues to be a need to identify methods for more effectively designing and using EHRs, especially in the management of patients with chronic conditions. A new feature in the Clinical Journal of the American Society of Nephrology (CJASN) indicates that chronic kidney disease (CKD) may be an ideal model for identifying and evaluating such methods.
“CKD is common and its care is suboptimal, allowing significant room to show improvement as EHRs are optimized, and because CKD is defined by objective data, the disease is an ideal example of a condition that can be easily identified by information commonly found in EHRs,” said co-author Uptal Patel, MD, of the Duke University School of Medicine. “CKD care also requires collaboration between diverse professionals across numerous health care settings, which could be facilitated by EHRs. Furthermore, CKD often heralds increased risk for hospitalizations, cardiovascular events, and all-cause mortality, so EHR-based improvements in CKD management may in turn improve care for these related conditions.”
Study co-authors include Patrick Archdeacon, MD, Clement McDonald, MD, Neil Powe, MD, MPH, MBA, Kimberly Smith, MD, MS, Jenna Norton, MPH, Desmond E. Williams, MD, PhD, and Andrew Narva, MD.
The article, entitled “CKD as a Model for Improving Chronic Disease Care through Electronic Health Records,” will appear online at http://cjasn.asnjournals.org/