Session ID: 
179

Creating Digital Twins: Leveraging the IoMT

2:30pm - 3:30pm Wednesday, March 11
Orlando - Orange County Convention Center
W230A

Description

Wearable electronic devices such as Fitbits and Apple watches deliver a wealth of individualized physiologic data. Data from these devices can be used as a digital biomarker or “digital twin” baseline for an individual patient during regular daily activities and then compared against future readings to look for signs of disease or recovery from illness and surgery. This use of data represents a paradigm shift in precision medicine. Disease progression, therapeutic responsiveness, and recovery can be tracked daily. Moreover, machine learning can be applied to the large datasets collected to provide new insights into disease patterns, enabling physicians to create more effective treatment plans specific to a patient’s lifestyle and to monitor actual compliance with treatment recommendations.Men's Sneaker Hub Online

Learning Objectives

  • Recognize methods for integrating patient-collected IoMT data into the electronic record
  • Identify the challenges in collating large-scale data from multiple sources
  • Describe applications of machine learning to data-sets that include patient-collected IoMT data

Speaker(s)

Professor, Anesthesiology and Pain Medicine,
Johns Hopkins All Children's Hospital...

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

Clinical Informaticists
Data Scientist
Physician or Physician’s Assistant

Level

Introductory