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Title: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling

Journal Article · · Journal of Healthcare Informatics Research
 [1]; ORCiD logo [1];  [2];  [2];  [3]; ORCiD logo [4];  [3]
  1. Univ. of Tennessee, Knoxville, TN (United States)
  2. Methodist Le Bonheur Healthcare, Memphis, TN (United States)
  3. Univ. of Tennessee Health Science Center, Memphis, TN (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
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Precision medicine and the continuous analysis of “Big data” promises to improve patient outcomes dramatically in the near future. Very recently, healthcare facilities have started to explore automatic collection of patient-specific physiological data with the aim of reducing nursing workload and decreasing manual data entry errors. In addition to those purposes, continuous physiological data can be used for the early detection and prevention of common, and possibly fatal, diseases. For instance, poor patient outcomes from sepsis, a leading cause of mortality in healthcare facilities and a major driver of hospital costs in the USA, can be mitigated when detected early using screening tools that monitor the changing dynamics of physiological data. However, the potential cost of collecting continuous physiological data remains a barrier to the widespread adoption of automated high-frequency data collection systems. In this paper, we perform cost-benefit analysis (CBA) of machine learning applied to various types of acquisition systems (with different collection intervals) to determine if the benefits of such systems will outweigh their implementation costs. Although such systems can be used in the detection of various complications, in order to showcase the immediate benefits, we focus on the early detection of sepsis, one of the major challenges of hospital systems. We present a general approach to conduct such analysis for a wide range of hospitals and highlight its applicability using a case study for a small hospital with 150 beds and 3000 annual patients where the acquisition system would collect data at 1-min intervals. Finally, we discuss how the analysis may help guide incentives/policies with regard to adopting automated data acquisition systems.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1530117
Journal Information:
Journal of Healthcare Informatics Research, Vol. 3, Issue 2; ISSN 2509-4971
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

References (53)

Precision Medicine—Personalized, Problematic, and Promising journal January 2015
Error rates in a clinical data repository: lessons from the transition to electronic data transfer—a descriptive study journal January 2013
Implementation of a real-time computerized sepsis alert in nonintensive care unit patients* journal January 2011
Automated electronic medical record sepsis detection in the emergency department journal January 2014
Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012 journal January 2013
Specific Etiologies Associated With the Multiple Organ Dysfunction Syndrome in Children: Part 1 journal January 2017
Assessing available information on the burden of sepsis: global estimates of incidence, prevalence and mortality journal June 2012
Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics journal November 2017
Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care journal January 2001
Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock journal November 2001
The Surviving Sepsis Campaign: Results of an international guideline-based performance improvement program targeting severe sepsis* journal January 2010
A targeted real-time early warning score (TREWScore) for septic shock journal August 2015
Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014 journal October 2017
966: Sepsis journal January 2014
Clinical review: Scoring systems in the critically ill journal January 2010
Big data analytics in healthcare: promise and potential journal February 2014
Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research journal January 2015
Cost-Benefit Analysis of Electronic Medical Record System at a Tertiary Care Hospital journal January 2013
A cost-benefit analysis of electronic medical records in primary care journal April 2003
A systematic review of the cost of data collection for performance monitoring in hospitals journal April 2015
Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs journal September 2005
Mortality reduction in patients with severe sepsis and septic shock through a comprehensive sepsis initiative journal April 2014
Hospital Case Volume and Outcomes among Patients Hospitalized with Severe Sepsis journal March 2014
Early identification of sepsis in hospital inpatients by ward nurses increases 30-day survival journal August 2016
Willingness to Pay for a Quality-adjusted Life Year: In Search of a Standard journal July 2000
Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness journal January 2014
How much data should we collect? A case study in sepsis detection using deep learning
  • van Wyk, Franco; Khojandi, Anahita; Kamaleswaran, Rishikesan
  • 2017 IEEE Healthcare Innovations and Point-of-Care Technologies (HI-POCT), 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) https://doi.org/10.1109/HIC.2017.8227596
conference November 2017
Random Forests journal January 2001
Deep learning journal May 2015
Classification and Regression Trees. journal September 1984
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model journal September 2011
Multilayer perceptron tumour diagnosis based on chromatography analysis of urinary nucleosides journal July 2007
Optimizing deep learning hyper-parameters through an evolutionary algorithm
  • Young, Steven R.; Rose, Derek C.; Karnowski, Thomas P.
  • Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments - MLHPC '15 https://doi.org/10.1145/2834892.2834896
conference January 2015
Ten Lectures on Wavelets book January 1992
Long-term mortality and quality of life after septic shock: a follow-up observational study journal January 2013
Long-term Survival and Function After Suspected Gram-negative Sepsis journal July 1995
Long-term survival after intensive care unit admission with sepsis journal January 1995
Subsequent Infections in Survivors of Sepsis: Epidemiology and Outcomes journal June 2012
Increased 1-Year Healthcare Use in Survivors of Severe Sepsis journal July 2014
Readmission Diagnoses After Hospitalization for Severe Sepsis and Other Acute Medical Conditions journal March 2015
Post–Acute Care Use and Hospital Readmission after Sepsis journal June 2015
Late mortality after sepsis: propensity matched cohort study journal May 2016
Long-Term Mortality and Major Adverse Cardiovascular Events in Sepsis Survivors. A Nationwide Population-based Study journal July 2016
Elevated serum myoglobin levels at hospital admission and the risk of early death among patients with hemophagocytic lymphohistiocytosis: evidence from 155 pediatric patients journal March 2020
The impact of the non-essential business closure policy on Covid-19 infection rates journal April 2021
An Evidence Review of Low-Value Care Recommendations: Inconsistency and Lack of Economic Evidence Considered journal February 2021
miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides journal September 2020
Long-term survival and function after suspected gram-negative sepsis journal July 1995
The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis journal January 2010
Specific Etiologies Associated With the Multiple Organ Dysfunction Syndrome in Children: Part 2 journal January 2017
Long-Term Survival and Function After Suspected Gram-Negative Sepsis journal January 1996
Classification and Regression Trees. journal March 1986
Deep Learning text January 2018

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Related Subjects

99 GENERAL AND MISCELLANEOUS
Automated physiological data acquisition
Sepsis detection
Cost-benefit analysis (CBA)
Random forest