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Our proposal on “Automated Integration of Patient-Generated Data with the Electronic Health Record Data”, PI, Rashidi, has been selected for funding by CTSI-UFII.

Abstract:

In recent years, patients have increasingly been using mobile health (mHealth) applications for monitoring their health conditions. While existing sensors and devices generate useful information for the patients, currently such information is not shared with the healthcare providers, thus preventing timely monitoring and interventions procedures. We will develop a prototype to integrate patient-generated data from a smartwatch with electronic health record (EHR) data and to create the interface for practitioners to use this information for patient care. Our existing smartwatch platform collects daily patient reported outcomes (e.g. pain, mood, sleep, and fatigue). It also automatically captures sensor data on activity and mobility patterns.  The integrated interface will be developed using the Fast Healthcare Interoperability Resources (FHIR) standard to exchange patient-generated data with Epic® health record system.

  Posts

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June 6th, 2019

NIH Mitchel Max Award- Finalist

Dr. Rashidi is nominated as one of the three finalists for the National Institute of Health (NIH) Mitchel Max Award […]

May 3rd, 2019

HWCOE Excellence Award

Original Article: Link Parisa Rashidi, Ph.D., areceived the HWCOE Excellence Award for Assistant Professors. This award is given to faculty […]

May 3rd, 2019

Provost Excellence Award

Main Article: Link Parisa Rashidi, Ph.D., an assistant professor in the J. Crayton Pruitt Family Department of Biomedical Engineering, has […]

February 25th, 2019

News Coverage in CBS

A first of its kind technology developed here in Gainesville can predict the probability and possible cause of death in […]

February 25th, 2019

News Coverage in Fox13

Artificial intelligence used in the ICU to predict mortality, news story: Watch the video here: link

February 22nd, 2019

News Coverage in Alligator Newspaper

Excerpt from the original story:   UF researchers can now assess and treat a patient’s condition faster than ever before […]

February 19th, 2019

News Coverage in UFHealth News

n a hospital’s intensive care unit, doctors get a cascade of data about each patient’s condition that can be challenging […]

February 18th, 2019

NIH Trailbalzer Award

The under-assessment of pain response is one of the primary barriers to the adequate treatment of pain in critically ill […]

August 29th, 2018

Survey on EHR Deep learning available on IEEE JBHI

Our survey paper on deep learning for EHR will appear in the September Issue of IEEE JBHI: Link  

May 10th, 2018

NVIDIA’s news story on Intelligent ICU

NVIDIA reports on our intelligent ICU research, “AI Assists Doctors Monitor ICU Patients”: Researchers at the University of Florida developed […]