Future of Medical IoT and Data Fluidity in Patient Monitoring
Introduction to development needs for infrastructure backend for a forward-oriented clinical digital health program.
Abstract: As the quantity of medical technology and volume of data surrounding patients in the care environment has exploded in the last two decades, the challenge for vendors has shifted away from just making “better boxes.” Provider organizations and care networks now expect their technology investment to provide more efficient workflows, more insightful patient data, lower cost of care, and ultimately better outcomes. These requirements serve as inputs to developing the next generation of digital patient care devices and ecosystems that will not only monitor, but will support advanced workflows, simplify the job of the caregiver, and create synergies from the heterogenous technology surrounding the patient.
Background: Health Information Exchange (HIE) Networks have been of interest driven by a desire for improvements in health and quality outcomes. HIEs have been hampered by numerous issues and have so far yet to realize their full potential. There are developments in open application program interface (API) approaches such as Fast Health Interoperability Resources (FHIR) to transfer granular data elements along with advances with Consolidated Clinical Document Architecture (C-CDA), Bernoulli conditioning, cloud-based and edge computing. All of these advances have the potential to enable more multi-directional fluidity of healthcare information. Such advancements will be required to support Medical IoT in Patient Monitoring
Date and Time
Location
Hosts
Registration
- Date: 30 May 2019
- Time: 06:30 PM to 08:15 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- University of New Hampshire, Manchester
- 88 Commercial Street
- Manchester, New Hampshire
- United States 03101
- Room Number: 301
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WebEx available - for WebEx information send email to mike.oconnor@ieee.org
- Co-sponsored by NH Section Life Members Affinity Group
- Starts 12 May 2019 12:00 PM
- Ends 29 May 2019 05:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Matt Grubis of GE Healthcare Chief Engineer, Monitoring Solutions
Lennie Kahn, PhD of GE Healthcare Global Product Manager, Monitoring Solutions
Lennie Kahn, PhD
Agenda
6:30-7:15PM Assemble & informal discussions
7:15 - 8:10PM Presentation
8:10 - end: Q&A and wrap-up