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DTSTAMP:20190606T223636Z
UID:6D489365-39AE-4EF0-A2E7-254C6E74E43C
DTSTART;TZID=America/New_York:20190530T183000
DTEND;TZID=America/New_York:20190530T201500
DESCRIPTION:Abstract: As the quantity of medical technology and volume of d
 ata 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 th
 eir technology investment to provide more efficient workflows\, more insig
 htful patient data\, lower cost of care\, and ultimately better outcomes. 
 These requirements serve as inputs to developing the next generation of di
 gital 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
 .\n\nBackground: Health Information Exchange (HIE) Networks have been of i
 nterest driven by a desire for improvements in health and quality outcomes
 . HIEs have been hampered by numerous issues and have so far yet to realiz
 e 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 Consol
 idated Clinical Document Architecture (C-CDA)\, Bernoulli conditioning\, c
 loud-based and edge computing. All of these advances have the potential to
  enable more multi-directional fluidity of healthcare information. Such ad
 vancements will be required to support Medical IoT in Patient Monitoring\n
 \nCo-sponsored by: NH Section Life Members Affinity Group\n\nSpeaker(s): M
 att Grubis\, Lennie Kahn\, PhD\n\nAgenda: \n6:30-7:15PM Assemble &amp; informa
 l discussions\n\n7:15 - 8:10PM Presentation\n\n8:10 - end: Q&amp;A and wrap-up
 \n\nRoom: 301\, University of New Hampshire\, Manchester\, 88 Commercial S
 treet\, Manchester\, New Hampshire\, United States\, 03101
LOCATION:Room: 301\, University of New Hampshire\, Manchester\, 88 Commerci
 al Street\, Manchester\, New Hampshire\, United States\, 03101
ORGANIZER:mike.oconnor@ieee.org
SEQUENCE:12
SUMMARY:Future of Medical IoT and Data Fluidity in Patient Monitoring
URL;VALUE=URI:https://events.vtools.ieee.org/m/198891
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;:&amp;nbsp\;As the qu
 antity of medical technology and volume of data surrounding patients in th
 e care environment has exploded in the last two decades\, the challenge fo
 r vendors has shifted away from just making &amp;ldquo\;better boxes.&amp;rdquo\; 
 Provider organizations and care networks now expect their technology inves
 tment to provide more efficient workflows\, more insightful patient data\,
  lower cost of care\, and ultimately better outcomes. These requirements s
 erve as inputs to developing the next generation of digital patient care d
 evices and ecosystems that will not only monitor\, but will support advanc
 ed workflows\, simplify the job of the caregiver\, and create synergies fr
 om the heterogenous technology surrounding the patient.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Ba
 ckground&lt;/strong&gt;: Health Information Exchange (HIE) Networks have been of
  interest driven by a desire for improvements in health and quality outcom
 es.&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;HIEs have been hampered by numerous issues and hav
 e so far yet to realize their full potential.&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;There ar
 e developments in open application program interface (API) approaches such
  as Fast Health Interoperability Resources (FHIR) to transfer granular dat
 a elements along with advances with Consolidated Clinical Document Archite
 cture (C-CDA)\, Bernoulli conditioning\, cloud-based and edge computing. &amp;
 nbsp\;All of these advances&amp;nbsp\;have the potential to enable more multi-
 directional &lt;strong&gt;fluidity&lt;/strong&gt; of healthcare information. Such adva
 ncements will be required to support Medical IoT in Patient Monitoring&amp;nbs
 p\; &amp;nbsp\;&amp;nbsp\;&lt;/p&gt;\n&lt;div&gt;&amp;nbsp\;&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:3
 0-7:15PM Assemble &amp;amp\; informal discussions&lt;/p&gt;\n&lt;p&gt;7:15 - 8:10PM Presen
 tation&lt;/p&gt;\n&lt;p&gt;8:10 - end: Q&amp;amp\;A and wrap-up&lt;/p&gt;
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