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Physician Judgment and Machine Predictions

NCT02694159 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50000

Last updated 2022-07-22

No results posted yet for this study

Summary

The study goal is to improve the value of care and reduce health disparities by developing a targeted set of sophisticated and powerful algorithms to improve upon human clinical judgments. The plan is to use the test case of detecting sepsis in patients in the emergency department (ED) as the first step in improving the value of care and reducing health disparities by developing a targeted set of sophisticated and powerful algorithms to improve upon human clinical judgments. This work will be performed using data from the University of Pennsylvania Health System where a preliminary Early Warning and Response System for Sepsis monitors clinical parameters. The premise underlying all this work is that by improving decision-making, it will both reduce low-value care and health disparities.

Conditions

Sponsors & Collaborators

Principal Investigators

  • Amol Navathe, MD, PhD · University of Pennsylvania

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-02-29
Primary Completion
2021-12-30
Completion
2021-12-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02694159 on ClinicalTrials.gov