BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230119T220709Z UID:18611FEF-FDD1-4997-9590-7BAC287DC432 DTSTART;TZID=America/Chicago:20230119T093000 DTEND;TZID=America/Chicago:20230119T110000 DESCRIPTION:Healthcare systems around the globe are facing value challenges . The most recent one was the virus pandemic and the sudden need for new h ealthcare services. The second one is an escalating demand from long-term\ , non-communicable diseases and the aging population where increased commi tments are limited by scarce resources. Managing these challenges is expen sive and to improve the situation\, the healthcare system is suggested to transform from an episodic hospital-centric care-based approach to become more proactive\, and democratized. Information driven care has the potenti al to address some of these challenges due to the increasing availability of high quality big data within the healthcare domain\; yet there are seve ral challenges in order to scale the AI solutions. The scaling of AI deplo yment would be fueled by a combination of AI advancements\, enculturation\ , and empowerment within organizations. In this talk\, I will focus on a f ew of such challenges and how the state-of-the-art research within AI can be utilized to mitigate them.\n\nSpeaker(s): Farzaneh\, \n\nVirtual: https ://events.vtools.ieee.org/m/341972 LOCATION:Virtual: https://events.vtools.ieee.org/m/341972 ORGANIZER:fzarrink@uoguelph.ca SEQUENCE:2 SUMMARY:Scaling AI solutions in healthcare\, steps towards proactive care URL;VALUE=URI:https://events.vtools.ieee.org/m/341972 X-ALT-DESC:Description: <br /><p><span style="color: black !important\; fon t-size: 12pt\; font-family: Calibri\, Arial\, Helvetica\, sans-serif\; bac kground-color: white !important\;"><span lang="en-US" style="color: black !important\; font-size: 12pt\; font-family: Calibri\, Arial\, Helvetica\, sans-serif\; background-color: white !important\;">Healt</span><span lang= "en-US" style="color: black !important\; font-size: 12pt\; font-family: Ca libri\, Arial\, Helvetica\, sans-serif\; background-color: white !importan t\;">hcare systems around the globe are facing value challenges. The most recent one was th</span><span lang="en-US" style="color: black !important\ ; font-size: 12pt\; font-family: Calibri\, Arial\, Helvetica\, sans-serif\ ; background-color: white !important\;">e virus pandemic and the sudden ne ed for new healthcare services. The second one is an escalating demand fro m long-term\, non-communicable diseases and the aging population where inc reased commitments are limited by scarce resources. Managing these challen ges is expensive and to improve the situation\, the healthcare system is s uggested to transform from an episodic hospital-centric care-based approac h to become more proactive\, and democratized. Information driven care has the potential to address some of these challenges due to the increasing a vailability of high quality big data within the healthcare domain\; yet th ere are several challenges in order to scale the AI solutions. The scaling of AI deployment would be fueled by a combination of AI ad</span><span la ng="en-US" style="color: black !important\; font-size: 12pt\; font-family: Calibri\, Arial\, Helvetica\, sans-serif\; background-color: white !impor tant\;">vancements\, enculturation\, and empowerment within organizations. In this <span class="markcaaeclole" data-markjs="true" data-ogac="" data- ogab="" data-ogsc="" data-ogsb="">talk</span>\, I will focus on a few of s uch challenges and how the state-of-the-art research within AI can be util ized to mitigate them.&nbsp\;</span></span></p> END:VEVENT END:VCALENDAR