Electronic health records: underused in the ICU?



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Electronic health records: underused in the ICU? Christopher W. Seymour, MD MSc Assistant Professor of Critical Care Medicine Core Faculty Member, CRISMA Center University of Pittsburgh School of Medicine

Disclosures Research funding: NIH / NIGMS K23 award Surgical Infection Society Consulting fees from Beckman Coulter on sepsis biomarkers No tobacco relationships

Caveats My clinical translational research focuses on sepsis I spend more time thinking about biomarkers than bioinformatics And yet EHR

But I m not alone Google trends search: EHR

Health Information Technology for Economic and Clinical Health (HITECH) Act, enacted as part of the American Recovery and Reinvestment Act of 2009 Goal to promote the adoption and meaningful use of health information technology $6.5 billion investment in adoption of EHRs

No other industry, to our knowledge, has been under a universal mandate to adopt a new technology before its effects are fully understood, and before the technology has reached a level of usability that is acceptable to its core users. RAND, Friedberg et al., Health Affairs, 2014

But there are redeeming features? Integration of EHR data in prediction tools Clinical decision support and minimizing errors Royal College of Physicians, accessed 2015

Objectives Briefly address epidemiology if EHRs Explore the tension of EHR adoption in the ICU Potential benefit Perceived threats to care Illustrative case studies

Adoption and spending is increasing Office of the Auditor General Canada, 2013 ONC Data Brief No. 23 April 2015, accessed HealthIT.gov

Perceived benefits of the EHR Overcome bad hand writing Provide platform for quality care and clinical decision support Promotes billing practice Gather and trend patient, unit, hospital data Interoperability of patient data Improve efficiencies Secure private patient information Thakker et al., 2006 Perspect Health Inf Manag

Perceived barriers EHR usability that did not match clinical workflows Time-consuming data entry Interference with face-to-face patient care Overwhelming numbers of electronic messages and alerts A deisgn to optimize billing through quality Only as good as the quality metrics the measure RAND, Friedberg et al., Health Affairs, 2014

Lack of data? 17% of all RCTs with benefit Rahurkar et al., Health Affairs, 2014

Propotion of time (%) Example of workflow changes 25 22.6 20 15 10 5 14.1 4.1 Patient care Clinical review and documentation Rural 400-bed tertiary-care medical center 3 ICUs 26 Attending physicians 0 Pre Post 2 Carayon et al., Int J Med Informatics, 2015

Meaningful use? Quality of care Clinical decision support Alerts for sick patients Medication errors Interoperable patient data Reduce costs Accuracy of orders (CPOE) Smart alerts Enrollment in randomized trials

Can EHR help with RCTs? Screening for eligible patients Nest interventions in the computerized order sets Record compliance with interventions Ease of platform trials Follow up / outcomes already tracked as part of clinical care Angus DC, JAMA, 2015

Case study: POC trial of insulin Fiore et al, Clin Trials, 2011

Case study: smart alerts To Err is Human Current ability to detect unusual patient management are knowledge based rely on prior knowledge input into the system EHR could learn typical care of ICU patients Leverage updating statistics on anomalies in care Create alerts for clinical care outliers, conditional on usual practice patterns

Case study: smart alerts for outlier care

Case study: smart alerts for outlier care Require balance Low frequency High quality Low override rate Independent and self learning Don t require outside expert input Directly informed by concurrent and past practice in the EHR

ICU care helps these people

Case study: smart alerts for ICU triage Admissions related to illness severity Admissions unrelated to illness severity Chen et al., N Engl J Med, 2013

Case study: smart alerts for ICU triage Mutiple prognostic tools exist (e.g. LAPS2 from Kaiser, among others) Deploy real time, use admission and physiologic data in the EHR Appropriately target the sick for ICU admission Need RCTs

Conclusions Adoption of the EHR is rapidly expanding in the US and Canada We spend A LOT of time with it Despite absence of controlled trials, the use of EHR will increase in the ICU Think creatively about efficient uses in the ICU not just for QI or billing agendas Promote trial enrollment (research) Smart alerts (adjuncts to our clinical practice)

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