Professional Behavior and Value Erosion: A Qualitative Study of Physicians and the Electronic Health Record.

GOAL: Occurrences of physician burnout have reached epidemic numbers, and the electronic health record (EHR) is a commonly cited cause of the distress. To enhance current understanding of the relationship between burnout and the EHR, we explored the connections between physicians' distress and the EHR. METHODS: In this qualitative study, physicians and graduate medical trainees from two healthcare organizations in California were interviewed about EHR-related distressing events and the impact on their emotions and actions. We analyzed physician responses to identify themes regarding the negative impact of the EHR on physician experience and actions. EHR "distressing events" were categorized using the Accreditation Council for Graduate Medical Education (ACGME) Physician Professional Competencies. PRINCIPAL FINDINGS: Every participating physician reported EHR-related distress affecting professional activities. Five main themes emerged from our analysis: system blocks to patient care; poor implementation, design, and functionality of the EHR; billing priorities conflicting with ideal workflow and best-practice care; lack of efficiency; and poor teamwork function. When mapped to the ACGME competencies, physician distress frequently stemmed from situations where physicians prioritized systems-based practice above other desired professional actions and behaviors. Physicians also reported a climate of silence in which physicians would not share problems due to fear of retribution or lack of confidence that the problems would be addressed. PRACTICAL APPLICATIONS: Physicians and administrators need to address the hierarchy of values that prioritizes system requirements such as those required by the EHR above physicians' other desired professional actions and behaviors. Balancing the importance of competing competencies may help to address rising burnout. We also recommend that administrators consider qualitative anonymous interviews as an effective method to uncover and understand physician distress in light of physicians' reported climate of silence.

Cost and mortality impact of an algorithm-driven sepsis prediction system.

AIMS: To compute the financial and mortality impact of InSight, an algorithm-driven biomarker, which forecasts the onset of sepsis with minimal use of electronic health record data. METHODS: This study compares InSight with existing sepsis screening tools and computes the differential life and cost savings associated with its use in the inpatient setting. To do so, mortality reduction is obtained from an increase in the number of sepsis cases correctly identified by InSight. Early sepsis detection by InSight is also associated with a reduction in length-of-stay, from which cost savings are directly computed. RESULTS: InSight identifies more true positive cases of severe sepsis, with fewer false alarms, than comparable methods. For an individual ICU with 50 beds, for example, it is determined that InSight annually saves 75 additional lives and reduces sepsis-related costs by $560,000. LIMITATIONS: InSight performance results are derived from analysis of a single-center cohort. Mortality reduction results rely on a simplified use case, which fixes prediction times at 0, 1, and 2 h before sepsis onset, likely leading to under-estimates of lives saved. The corresponding cost reduction numbers are based on national averages for daily patient length-of-stay cost. CONCLUSIONS: InSight has the potential to reduce sepsis-related deaths and to lead to substantial cost savings for healthcare facilities.