by Eric Hamrock
The problem we solve: Increases in annual visits to US emergency departments (ED) to over 140 million have led to unprecedented levels of crowding and delays in care. Evidence linking pro-longed waits to adverse patient outcomes across many clinical conditions continue to mount. EDs have a need to execute front-end triage systems that can accurately identify patients with time-sensitive conditions from those with less urgent needs. Further triage processes have begun to shift for dual purposes: to drive efficient and cost-effective care trajectories. Safely supporting streaming operational models is difficult because accurately classifying many non-urgent patients, and atypically presenting high-risk patients, is only certain after thorough ED-based evaluation. Current standards for triage (Emergency Severity Index [ESI]) in the US consistently promote triage of a heterogeneous majority to mid-acuity Level 3, counter to the objective of triage. ESI no longer supports new and needed operational models.
About our solution: The e-triage value proposition is to provide data-driven decision support for patient triage that is embedded within an ED’s local electronic health record (EHR) system or deployed on-line. Compared to ESI, we have demonstrated e-triage’s improved performance in distinguishing high-risk patients using multiple ED populations through both retrospective and prospective evaluation. More important from a financial and operational perspective is e-triage’s ability to improve recognition of low-risk patients safe for fast-track (non-urgent care). The objective of identifying and streaming non-urgent patients is to: (1) reduce ED crowding, (2) minimize non-urgent patient waiting, and (3) prevent resource over-utilization that plagues this costly care setting.Progress to date:
E-Triage is deployed in 4 emergency departments (ED). We have conducted numerous peer-reviewed and published studies on E-Triage. We are currently realizing revenue for E-Triage and are seeking additional partners to implement.
Creator: Eric Hamrock
Bio: Eric is a healthcare leader with over 17 years of experience in operational leadership, performance improvement, and project management. Eric is a Certified Lean Sigma Black Belt with a track record of implementing initiatives focused on operational and financial performance in the healthcare industry including Johns Hopkins Medicine and Sunrise Senior Living with measurable results.
Biography: Scott is an Associate Professor and Associate Director for Research in Emergency Medicine, at the Johns Hopkins University. He also serves as the Systems Director for the Malone Center for Engineering in Healthcare at the Johns Hopkins University. He holds a PhD in Biomedical Engineering from Vanderbilt University. Scott has 15+ years development of health systems engineering software focused on healthcare value and medical decision-making.
Advanced Degree(s): PhD
Chief Medical Officer, MD, PhD
Biography: Jeremiah Hinson is an Assistant Professor and Director of Residency Research for Emergency Medicine at Johns Hopkins University. He holds an MD from Albert Einstein College of Medicine and PhD in Molecular and Cellular Pathology from the University of North Carolina. Dr. Hinson's experience is in improvement of patient outcomes using data-driven methods focused on emergency department operations, acute kidney injury, and infectious disease.
Title: Chief Medical Officer
Advanced Degree(s): MD, PhD
E-Triage attacks the problem of ED crowding and wait time. We have shown an ability to improve the ED wait time at our client Emergency Departments through using evidence based methods.
E-Triage helps providers by providing operational decision support mainly for triage nurses. The current standard of the Emergency Severity Index has proven to be highly subjective and based upon estimated resources. E-Triage combines clinical judgement with evidence to support improved identification of patients' at risk for critical care and hospitalization.
E-Triage has proven to create 10,000 bed hours in an average ED. This is equivalent to cost savings of approximately $674,000 per year thus helping to bend the cost curve by providing better outcomes with the same resources.
E-Triage can provide real time operational decisioin support for identifying patients at risk for critical outcomes or admission. StoCastic also has a deep level of exerience in taking evidence based operations research tools to the bedside.
Scott Levin, PhD is an Associate Professor and Associate Director for Research in Emergency Medicine at Johns Hopkins Unversity. He is also the Director for Systems in the Malone Center for Engineering in Healthcare at Johns Hopkins University.
Jeremiah Hinson, MD, PhD is an Assistant Professor and Director of Residency Research in Emergency Medicine at Johns Hopkins University.
Johns Hopkins University also maintains a minority equity position in StoCastic.
Key Milestones Achieved and Planned
Our Competitive Advantages
E-Triage is currently under a provisional patent. Through market research and customer discovery we have not seen another product addressing ED crowding with a triage tool using a similar approach. We describe competitive risks in the competitors section.
Barriers to Entry
Patent for E-Triage.
Partnership with Johns Hopkins Medicine provides a competitive advantage.
Have demonstrated evidence of success in deploying E-Triage within EHR systems achieving improvements in patient flow linked to cost-savings and/or revenue generation.
Funding, Partners and Alliances To Date
Our current source of external funding has been through the NSF SBIR program. We are currently within our Phase II and have raised ~$830K to date.
Our annual revenue ranges between $250-500K per year. A portion of this is SaaS ARR and the rest is from R&D funding (i.e. grants, partner funding) and consulting revenue.
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