Real-Time Risk Prediction on the Wards: A Feasibility Study

Objective:Failure to detect clinical deterioration in the hospital is common and associated with poor patient outcomes and increased healthcare costs. Our objective was to evaluate the feasibility and accuracy of real-time risk stratification using the electronic Cardiac Arrest Risk Triage score, an electronic health record-based early warning score. Design:We conducted a prospective black-box validation study. Data were transmitted via HL7 feed in real time to an integration engine and database server wherein the scores were calculated and stored without visualization for clinical providers. The high-risk threshold was set a priori. Timing and sensitivity of electronic Cardiac Arrest Risk Triage score activation were compared with standard-of-care Rapid Response Team activation for patients who experienced a ward cardiac arrest or ICU transfer. Setting:Three general care wards at an academic medical center. Patients:A total of 3,889 adult inpatients. Measurements and Main Results:The system generated 5,925 segments during 5,751 admissions. The area under the receiver operating characteristic curve for electronic Cardiac Arrest Risk Triage score was 0.88 for cardiac arrest and 0.80 for ICU transfer, consistent with previously published derivation results. During the study period, eight of 10 patients with a cardiac arrest had high-risk electronic Cardiac Arrest Risk Triage scores, whereas the Rapid Response Team was activated on two of these patients (p < 0.05). Furthermore, electronic Cardiac Arrest Risk Triage score identified 52% (n = 201) of the ICU transfers compared with 34% (n = 129) by the current system (p < 0.001). Patients met the high-risk electronic Cardiac Arrest Risk Triage score threshold a median of 30 hours prior to cardiac arrest or ICU transfer versus 1.7 hours for standard Rapid Response Team activation. Conclusions:Electronic Cardiac Arrest Risk Triage score identified significantly more cardiac arrests and ICU transfers than standard Rapid Response Team activation and did so many hours in advance.

[1]  D. Davis,et al.  Hospital cardiac arrest resuscitation practice in the United States: a nationally representative survey. , 2014, Journal of hospital medicine.

[2]  Comilla Sasson,et al.  Rapid Response Teams: A Systematic Review and Meta-analysis. , 2010, Archives of internal medicine.

[3]  David O. Meltzer,et al.  Derivation of a cardiac arrest prediction model using ward vital signs* , 2011, Critical care medicine.

[4]  Robert Gibbons,et al.  Using Electronic Health Record Data to Develop and Validate a Prediction Model for Adverse Outcomes in the Wards* , 2012, Critical care medicine.

[5]  Dev Jayaraman,et al.  Adverse outcomes associated with delayed intensive care consultation in medical and surgical inpatients. , 2012, Journal of critical care.

[6]  M. Churpek,et al.  Risk stratification of hospitalized patients on the wards. , 2013, Chest.

[7]  C. Manthous Rapid-response teams. , 2011, The New England journal of medicine.

[8]  David W Bates,et al.  Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial. , 2014, The American journal of medicine.

[9]  Chenyang Lu,et al.  A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team. , 2014, Journal of hospital medicine.

[10]  D. Harrison,et al.  Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward , 2007, Intensive Care Medicine.

[11]  E. Ivers,et al.  Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock , 2001 .

[12]  Inga Adams-Pizarro,et al.  "Identifying the hospitalised patient in crisis"--a consensus conference on the afferent limb of rapid response systems. , 2010, Resuscitation.

[13]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[14]  Tiemi Matsuo,et al.  Impact of delayed admission to intensive care units on mortality of critically ill patients: a cohort study , 2011, Critical care.

[15]  K. Wood,et al.  Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock* , 2006, Critical care medicine.

[16]  M. Churpek,et al.  Predicting cardiac arrest on the wards: a nested case-control study. , 2012, Chest.

[17]  Giles Morgan,et al.  Confidential inquiry into quality of care before admission to intensive care , 1998, BMJ.

[18]  D. Edelson A weak link in the rapid response system. , 2010, Archives of internal medicine.

[19]  Rinaldo Bellomo,et al.  The relationship between early emergency team calls and serious adverse events* , 2009, Critical care medicine.

[20]  C. Winslow,et al.  Multicenter development and validation of a risk stratification tool for ward patients. , 2014, American journal of respiratory and critical care medicine.

[21]  Valerie J. Gooder,et al.  Inpatient transfers to the intensive care unit: delays are associated with increased mortality and morbidity. , 2003, Journal of general internal medicine.

[22]  Sang-Bum Hong,et al.  Activation of a Medical Emergency Team Using an Electronic Medical Recording–Based Screening System* , 2014, Critical care medicine.

[23]  Michael Bailey,et al.  A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards* , 2012, Critical care medicine.