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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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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 […]

April 30th, 2018

Intelligent ICU paper available on arXiv

Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions […]

April 20th, 2018

CVPR Student Travel Award

Congratulations to Anis for receiving a CVPR workshop travel award!

April 20th, 2018

CTSI-UFII Pilot Project awarded

Our proposal on “Automated Integration of Patient-Generated Data with the Electronic Health Record Data”, PI, Rashidi, has been selected for funding […]