BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250517T055942Z UID:473C0911-B00E-49C8-B1AE-53EFDC64836D DTSTART;TZID=America/New_York:20250220T180000 DTEND;TZID=America/New_York:20250220T193000 DESCRIPTION:Dr. Joseph Ravi Singapogu is presenting on Simulator-Bases Clin ical Skills Training for Improved Clinical Outcomes\n\nThe skill of a clin ician is critical to positive patient outcomes. Several recent studies hav e demonstrated that clinicians’ skill ratings\nwere significantly correl ated with clinical outcomes after treatment. It is imperative\, therefore\ , that our clinical workforce be effectively\nand efficiently trained. In view of this goal\, there is an ongoing movement by leading stakeholders i n medical education to use advanced\ntools to create standardized\, object ive and structured training. This tangible need\, combined with burgeoning medical technologies\nlike surgical robots and smart operating rooms\, ha s fueled the field of medical simulation. Another factor that propels the need\nfor simulation-based clinical skills training is the growing problem of medical errors\, now the third leading cause of death in the US.\nTher efore\, simulation-based methods are currently being explored in a plethor a of medical disciplines as a means of training a skilled\nworkforce. In t his seminar\, I will present an overview of my research in using novel sen sors and devices to measure clinical skills like\nsurgical suturing and he modialysis cannulation. I will also discuss my current work that seeks to integrate sensor data from multiple\nmodalities to quantify skill. To conc lude\, several research questions that are key to enabling effective simul ation-based skills\ntraining will be motivated including (1) the need for extracting meaningful metrics from the vast array of sensor data available in\nmodern simulators\, (2) integration of multiple sensor streams (from multiple sensory modalities) for training clinical skills and (3) the\nuti lity of using subtask-specific metrics for skill assessment and training.\ n\nCo-sponsored by: Clemons University ECE Department\n\nSpeaker(s): Ravi\ , \n\nAgenda: \n6:00 PM - Start Meeting - Dinner and Socializing\n\n6:30 P M - Dr. Singapogu Presentation - Simulator-Bases Clinical Skills Training for Improved Clinical Outcomes\n\n7:30 PM - Meeting End\, Additional Netwo rking Opportunities\n\nRoom: 100A\, Bldg: Riggs Hall\, Clemson University\ , 433 Calhoun Drive Tau Court\, Clemson\, South Carolina\, United States LOCATION:Room: 100A\, Bldg: Riggs Hall\, Clemson University\, 433 Calhoun D rive Tau Court\, Clemson\, South Carolina\, United States ORGANIZER:dfillion@ieee.org SEQUENCE:24 SUMMARY:Simulator-based Clinical Skills Training for Improved Clinical Outc omes URL;VALUE=URI:https://events.vtools.ieee.org/m/468513 X-ALT-DESC:Description: <br /><p>Dr. Joseph Ravi Singapogu is presenting on Simulator-Bases Clinical Skills Training for Improved Clinical Outcomes</ p>\n<p>&nbsp\;The skill of a clinician is critical to positive patient out comes. Several recent studies have demonstrated that clinicians&rsquo\; sk ill ratings <br>were significantly correlated with clinical outcomes after treatment. It is imperative\, therefore\, that our clinical workforce be effectively <br>and efficiently trained. In view of this goal\, there is a n ongoing movement by leading stakeholders in medical education to use adv anced <br>tools to create standardized\, objective and structured training . This tangible need\, combined with burgeoning medical technologies <br>l ike&nbsp\;surgical robots and smart operating rooms\, has fueled the field of medical simulation. Another factor that propels the need<br>for simula tion-based clinical skills training is the growing problem of medical erro rs\, now the third leading cause of death in the US. <br>Therefore\, simul ation-based methods are currently being explored in a plethora of medical disciplines as a means of training a skilled <br>workforce. In this&nbsp\; seminar\, I will present an overview of my research in using novel sensor s and devices to measure clinical skills like <br>surgical suturing and he modialysis cannulation. I will also discuss my current work that seeks to integrate sensor data from multiple <br>modalities to quantify skill. To c onclude\, several research questions that are key to enabling effective si mulation-based skills<br>training will be motivated including (1) the need for extracting meaningful metrics from the vast array of sensor data avai lable in <br>modern simulators\, (2) integration of multiple sensor stream s&nbsp\;(from multiple sensory modalities) for training clinical skills an d (3) the <br>utility of using subtask-specific metrics for skill assessme nt and training.</p><br /><br />Agenda: <br /><p>6:00 PM - Start Meeting - Dinner and Socializing</p>\n<p>6:30 PM - Dr. Singapogu Presentation - Sim ulator-Bases Clinical Skills Training for Improved Clinical Outcomes</p>\n <p>7:30 PM - Meeting End\, Additional Networking Opportunities</p> END:VEVENT END:VCALENDAR