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DTSTAMP:20250919T044701Z
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DTSTART;TZID=America/Chicago:20250918T183000
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DESCRIPTION:Abstract\nImagine a healthcare system where patient flow is as 
 seamless as hotel check-ins\, where admissions\, discharges\, and staffing
  are proactively coordinated based on real-time\, predictive data. In this
  vision\, patients receive timely care\, staff are empowered to focus on w
 hat matters most\, and operational decisions are made with confidence and 
 clarity.\nBut today’s reality tells a different story. Hospitals face un
 predictable patient demand\, delayed discharges\, overburdened units\, and
  a workforce stretched to its limits. Nursing leaders make critical decisi
 ons with limited visibility\, while patients experience delays and staff f
 ace burnout.\nThis presentation explores how health systems can bridge thi
 s gap by leveraging AI-powered\, purpose-built technology that goes beyond
  the limitations of traditional EHRs. Learn how predictive insights and wo
 rkflow automation can drive proactive decision-making\, optimize operation
 al capacity\, and improve patient and staff experiences.\nWe’ll also exa
 mine the root drivers of these challenges\, including aging populations\, 
 healthcare workforce shortages\, and financial pressures\, and outline how
  AI can support transformational solutions in three critical areas: patien
 t experience\, healthcare workforce wellbeing\, and the business of medici
 ne.\nJoin us to discover how forward-thinking health systems are turning c
 omplexity into coordination and how your organization can do the same.\n\n
 Speaker(s): Char\n\nAgenda: \n6:25 to 6:35 PM - Open for participants to e
 nter and network.\n6:35 to 6:40 PM - IEEE LM and CTCN Business meeting and
  to introduce speaker.\n6:40 to 7:55PM - Formal Program and Q&A.\n\nVirtua
 l: https://events.vtools.ieee.org/m/492999
LOCATION:Virtual: https://events.vtools.ieee.org/m/492999
ORGANIZER:bill.martino@ieee.org
SEQUENCE:27
SUMMARY:IEEE CTS 9-18-2025 Zoom Meeting - Reimagining Hospital Operations w
 ith AI: A Path to Predictable Patient Flow and Empowered Staff
URL;VALUE=URI:https://events.vtools.ieee.org/m/492999
X-ALT-DESC:Description: <br /><p><span style="color: #000000\; font-family:
  Calibri\;"><strong>Abstract</strong></span></p>\n<div>Imagine a healthcar
 e system where patient flow is as seamless as hotel check-ins\, where admi
 ssions\, discharges\, and staffing are proactively coordinated based on re
 al-time\, predictive data. In this vision\, patients receive timely care\,
  staff are empowered to focus on what matters most\, and operational decis
 ions are made with confidence and clarity.</div>\n<div>But today&rsquo\;s 
 reality tells a different story. Hospitals face unpredictable patient dema
 nd\, delayed discharges\, overburdened units\, and a workforce stretched t
 o its limits. Nursing leaders make critical decisions with limited visibil
 ity\, while patients experience delays and staff face burnout.</div>\n<div
 >This presentation explores how health systems can bridge this gap by leve
 raging AI-powered\, purpose-built technology that goes beyond the limitati
 ons of traditional EHRs. Learn how predictive insights and workflow automa
 tion can drive proactive decision-making\, optimize operational capacity\,
  and improve patient and staff experiences.</div>\n<div>We&rsquo\;ll also 
 examine the root drivers of these challenges\, including aging populations
 \, healthcare workforce shortages\, and financial pressures\, and outline 
 how AI can support transformational solutions in three critical areas: pat
 ient experience\, healthcare workforce wellbeing\, and the business of med
 icine.</div>\n<div>Join us to discover how forward-thinking health systems
  are turning complexity into coordination and how your organization can do
  the same.</div>\n<p><img src="https://events.vtools.ieee.org/vtools_ui/me
 dia/display/50178223-3802-4aa2-861a-ff36dc84b63f" width="183" height="275"
 ></p><br /><br />Agenda: <br /><div dir="ltr" data-setdir="false">6:25 to 
 6:35 PM - Open for participants to enter and network.&nbsp\;</div>\n<div d
 ir="ltr" data-setdir="false">6:35 to 6:40 PM - IEEE LM and CTCN Business m
 eeting and to introduce speaker.</div>\n<div dir="ltr" data-setdir="false"
 >6:40 to 7:55PM - Formal Program and Q&amp\;A.&nbsp\;</div>
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