20. THE INTERNET OF MEDICAL THINGS (IOMT) TO REMOTELY MONITOR PATIENTS WITH CHRONIC CONDITIONS: A STEP TOWARDS REDUCING PREVENTABLE HOSPITAL READMISSIONS FOR CONGESTIVE HEART FAILURE

Department: Bioengineering
Research Institute Affiliation: Agile Center for Wearable Sensors (CWS)
Faculty Advisor(s): John T. Watson

Primary Student
Name: Sagar Bakliwal Jain
Email: sbjain@ucsd.edu
Phone: 408-209-2990
Grad Year: 2016

Abstract
A national healthcare priority is to reduce preventable hospital re-admissions which are preventable. Congestive heart failure (CHF) is a leading cause of hospital re-admissions for patients over 65. Over 1 million patients with CHF are hospitalized every year. 50% of the survivors end up becoming re-admitted within only 6 months. The majority of these re-admissions are due to patients retaining excess fluid and drowning in their own fluid, simply because the patient forgot to weigh themselves the day before. The non-compliance to daily weight monitoring, is a major contributor to these preventable re-admissions costing Medicare $17 billion/year. We prototyped a wearable insole to track these rapid weight gains which patients experience with is the first non-invasive solution to remotely monitor rapid weight gains for patients with congestive heart failure. The detection of a rapid weight gain would alert the physician via their smartphone when weight gains by percent changes have exceeded clinical threshold. Without reminding the patients of their disease, the wearable solution catalyzes the interaction between patients and doctors; to together prevent hospital re-admissions.

Industry Application Area(s)
Internet, Networking, Systems | Life Sciences/Medical Devices & Instruments | Software, Analytics

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