Evaluation of a Regional Electronic Health Information Exchange's Clinical Health Record

Missing information at the point of care is frustrating for both physicians and patients and can lead to unnecessary tests or suboptimal or even inappropriate and potentially harmful treatment. In addition to the risks of poorer quality of care, this fragmentation of incomplete or unavailable clinical data may result in increased costs to the healthcare system. Patient health records, when electronically shared across a spectrum of patient care settings, offer the possibility of improving healthcare outcomes, including patient safety and quality of care, and increasing efficiency, as well as cost-effectiveness. This overall study will consist of two analyses. First, we will conduct a before-and-after, or pre-post study. The clinical practices consenting to participate will serve as their own controls during the baseline period. During the baseline period for which data will be retrospectively captured, physicians will have been conducting "business as usual" without the use of the CHR. The intervention will consist of participants accessing CHR to assist with medical decisions and patient care. Secondly, we will conduct a concurrent matched cohort comparison of patients within practices. We will compare outcomes and gaps in care for patients whose care is associated with very frequent CHR use and less frequent CHR use to matched control patients whose care is not associated with CHR use. Safety, quality, and cost outcomes will be compared using the two described approaches. First, we will compare outcomes and gaps in care for the intervention patients whose care involved active CHR use in the intervention period to the care these same patients received during the baseline periods (pre/post analyses). Secondly, we will compare outcomes and gaps in care of the intervention active patients, both super-active and less active, to the matched control patients whose care during the study did not involve any CHR use during the intervention period (matched cohort analysis). In order to study the relationship of CHR use to clinical, financial, and office efficiency outcomes within the study's timeline, we will limit our study to pre-existing patients and new patients who have had at least one encounter during the study period. Hospital admission data will also be analyzed as part of the cost and outcomes analysis. We plan to study the effects of CHR on several conditions among the AHRQ's Ambulatory Care Sensitive (ACS) Conditions. We will study conditions that are common, high-risk, and resource dependent where clinical management may be improved with access to a CHR including chronic obstructive pulmonary disease/asthma, congestive heart failure, angina/coronary artery disease, and diabetes mellitus. In addition, other conditions determined to be of value in evaluating the impact of the CHR may be added, or may replace some of the existing conditions. These conditions will be chosen based on our early work in the study once we learn more about the number of eligible patients and the numbers of clinical interactions. The new conditions, yet to be determined, may also include non-chronic, or acute, diagnoses.