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Developing Enhanced Prediction Models

NCT02983812 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2020-02-06

No results posted yet for this study

Summary

In this study, patients will be prospectively enrolled for data collection to design prediction models that integrate claims data (inpatient, outpatient, and pharmacy), electronic health record data (on clinical, social, and behavioral indicators), and patient-generated activity data. Patients will be randomized to use either a smartphone or a wearable activity tracking device to capture patient-generated health data.

Conditions

  • Acute Myocardial Infraction or Chest Pain
  • Chronic Obstructive Pulmonary Disease (COPD)
  • Congestive Heart Failure (CHF)
  • Diabetes
  • Pneumonia

Sponsors & Collaborators

Principal Investigators

  • Mitesh Patel · University of Pennsylvania

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-01-23
Primary Completion
2019-06-07
Completion
2019-12-07

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

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 NCT02983812 on ClinicalTrials.gov