Jordan Everson

Sequencing of EHR adoption among US hospitals and the impact of meaningful use

OBJECTIVE To examine whether there is a common sequence of adoption of electronic health record (EHR) functions among US hospitals, identify differences by hospital type, and assess the impact of meaningful use. MATERIALS AND METHODS Using 2008 American Hospital Association (AHA) Information Technology (IT) Supplement data, we calculate adoption rates of individual EHR functions, along with Loevinger homogeneity (H) coefficients, to assess the sequence of EHR adoption across hospitals. We compare adoption rates and Loevinger H coefficients for hospitals of different types to assess variation in sequencing. We qualitatively assess whether stage 1 meaningful use functions are those adopted early in the sequence. RESULTS There is a common sequence of EHR adoption across hospitals, with moderate-to-strong homogeneity. Patient demographic and ancillary results functions are consistently adopted first, while physician notes, clinical reminders, and guidelines are adopted last. Small hospitals exhibited greater homogeneity than larger hospitals. Rural hospitals and non-teaching hospitals exhibited greater homogeneity than urban and teaching hospitals. EHR functions emphasized in stage 1 meaningful use are spread throughout the scale. DISCUSSION Stronger homogeneity among small, rural, and non-teaching hospitals may be driven by greater reliance on vendors and less variation in the types of care they deliver. Stage 1 meaningful use is likely changing how hospitals sequence EHR adoption--in particular, by moving clinical guidelines and medication computerized provider order entry ahead in sequence. CONCLUSIONS While there is a common sequence underlying adoption of EHR functions, the degree of adherence to the sequence varies by key hospital characteristics. Stage 1 meaningful use likely alters the sequence.

EHR Adoption and Hospital Performance: Time‐Related Effects

OBJECTIVE To assess whether, 5 years into the HITECH programs, national data reflect a consistent relationship between EHR adoption and hospital outcomes across three important dimensions of hospital performance. DATA SOURCES/STUDY SETTING Secondary data from the American Hospital Association and CMS (Hospital Compare and EHR Incentive Programs) for nonfederal, acute-care hospitals (2009-2012). STUDY DESIGN We examined the relationship between EHR adoption and three hospital outcomes (process adherence, patient satisfaction, efficiency) using ordinary least squares models with hospital fixed effects. Time-related effects were assessed through comparing the impact of EHR adoption pre (2008/2009) versus post (2010/2011) meaningful use and by meaningful use attestation cohort (2011, 2012, 2013, Never). We used a continuous measure of hospital EHR adoption based on the proportion of electronic functions implemented. DATA COLLECTION/EXTRACTION METHODS We created a panel dataset with hospital-year observations. PRINCIPAL FINDINGS Higher levels of EHR adoption were associated with better performance on process adherence (0.147; p < .001) and patient satisfaction (0.118; p < .001), but not efficiency (0.01; p = .78). For all three outcomes, there was a stronger, positive relationship between EHR adoption and performance in 2010/2011 compared to 2008/2009. We found mixed results based on meaningful use attestation cohort. CONCLUSIONS Performance gains associated with EHR adoption are apparent in more recent years. The large national investment in EHRs appears to be delivering more consistent benefits than indicated by earlier national studies.

Health information exchange associated with improved emergency department care through faster accessing of patient information from outside organizations

Objective: To assess whether electronic health information exchange (HIE) is associated with improved emergency department (ED) care processes and utilization through more timely clinician viewing of information from outside organizations. Materials and Methods: Our data included 2163 patients seen in the ED of a large academic medical center for whom clinicians requested and viewed outside information from February 14, 2014, to February 13, 2015. Outside information requests w.ere fulfilled via HIE (Epic’s Care Everywhere) or fax/scan to the electronic health record (EHR). We used EHR audit data to capture the time between the information request and when a clinician accessed the data. We assessed whether the relationship between method of information return and ED outcomes (length of visit, odds of imaging [computed tomography (CT), magnetic resonance imaging (MRI), radiographs] and hospitalization, and total charges) was mediated by request-to-access time, controlling for patient demographics, case mix, and acuity. Results: In multivariate analysis, there was no direct association between return of information via HIE vs fax/scan and ED outcomes. HIE was associated with faster outside information access (58.5 minutes on average), and faster access was associated with changes in ED care. For each 1-hour reduction in access time, visit length was 52.9 minutes shorter, the likelihood of imaging was lower (by 2.5, 1.6, and 2.4 percentage points for CT, MRI, and radiographs, respectively), the likelihood of admission was 2.4 percentage points lower, and average charges were

The implications and impact of 3 approaches to health information exchange: community, enterprise, and vendor-mediated health information exchange

1187 lower (P ⩽ .001 for all). Conclusion: The relationship between HIE and improved care processes and reduced utilization in the ED is mediated by faster accessing of information from outside organizations.

Achieving Adherence to Evidence-Based Practices: Are Health IT and Hospital-Physician Integration Complementary or Substitutive Strategies?

Electronic health information exchange (HIE) is considered essential to establishing a learning health system, reducing medical errors, and improving efficiency, but establishment of widespread, high functioning HIE has been challenging. Healthcare organizations now have considerable flexibility in selecting among several HIE strategies, most prominently community HIE, enterprise HIE (led by a healthcare organization), and electronic health record vendor‐mediated HIE. Each of these strategies is characterized by different conveners, capabilities, and motivations and may have different abilities to facilitate improved patient care.

Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption

In response to evolving policies and conditions, hospitals have increased health information technology (HIT) adoption and strived to improve hospital–physician integration. While evidence suggests that both HIT and integration confer independent benefits, when combined, they may provide complementary means to achieve high performance or overlap to offset each other’s contribution. We explore this relationship in the context of hospital adherence to evidence-based practices (EBPs). Using the American Hospital Association’s Annual and IT Supplement surveys, and Centers for Medicare and Medicaid Services’s Hospital Compare, we estimate the independent relationships and interactions between HIT and hospital–physician integration with respect to EBP adherence. HIT adoption and tight (but not loose) integration are independently associated with greater adherence to EBPs. The interaction between HIT adoption and tight integration is negative, consistent with an offsetting association between HIT adoption and integration in their relationship to EBP adherence. This finding reveals the need to be aware of potential substitutive effects from simultaneous pursuit of multiple approaches to performance improvement.