BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//swoogo.com//NONSGML kigkonsult.se iCalcreator 2.41.90//
CALSCALE:GREGORIAN
UID:66373933-6661-4832-b461-386435333864
BEGIN:VEVENT
UID:26e30770f23d1e22d62eec501ffc226e90c36585@swoogo.com
DTSTAMP:20260612T044552Z
DESCRIPTION:The healthcare industry’s digital infrastructure is at a disrup
 tive inflection point as two major market forces converge:  1) COVID has h
 ighlighted that legacy infrastructure is not nimble enough to quickly addr
 ess changing needs\; and 2) the drive by government and commercial players
  to transition to interoperability and FHIR standards on an expedited basi
 s. A common theme is arising as this new digital infrastructure is being b
 uilt: Deep clinical expertise and knowledge needs to be built into these n
 ew ecosystems up front\, rather than as an afterthought. In this session\,
  hear from a leader in clinical content data science and analytics on this
  new landscape. \n\nTopics include:\n\n	* Value based care and incorporatin
 g timely\, relevant\, and actionable measures analytics into healthcare wo
 rkflows \n 	* Identification and prediction of gaps in care with the abilit
 y to intervene in care delivery\n 	* The critical nature of including clini
 cal content expertise in the development of AI/ML applications that solve 
 real-world problems\n 	* The importance of bringing “science” back into dat
 a science to properly remove bias and achieve better results\n 	* Bridging 
 the divide between the data\, technology\, and decision makers \n 
DTSTART:20210622T173500Z
DTEND:20210622T175700Z
LAST-MODIFIED:20260612T044552Z
LOCATION:https://isg.swoogo.com/healthsciences21/v/s-535013
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:INDUSTRY SPOTLIGHT PRESENTATION: From Data to Decision -  The Value
  of Clinical Content Expertise in Healthcare Data Science.
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>The healthcare industry’s digital infrastru
 cture is at a disruptive inflection point as two major market forces conve
 rge:  1) COVID has highlighted that legacy infrastructure is not nimble en
 ough to quickly address changing needs\; and 2) the drive by government an
 d commercial players to transition to interoperability and FHIR standards 
 on an expedited basis. A common theme is arising as this new digital infra
 structure is being built: Deep clinical expertise and knowledge needs to b
 e built into these new ecosystems up front\, rather than as an afterthough
 t. In this session\, hear from a leader in clinical content data science a
 nd analytics on this new landscape. </p>\n\n<p>Topics include:</p>\n\n<ul>
 <li>Value based care and incorporating timely\, relevant\, and actionable 
 measures analytics into healthcare workflows </li>\n	<li>Identification and
  prediction of gaps in care with the ability to intervene in care delivery
 </li>\n	<li>The critical nature of including clinical content expertise in 
 the development of AI/ML applications that solve real-world problems</li>
 \n	<li>The importance of bringing “science” back into data science to prope
 rly remove bias and achieve better results</li>\n	<li>Bridging the divide b
 etween the data\, technology\, and decision makers <br />\n	 </li>\n</ul>
BEGIN:VALARM
UID:64353666-6262-4936-b666-363763346537
ACTION:DISPLAY
DESCRIPTION:The healthcare industry’s digital infrastructure is at a disrup
 tive inflection point as two major market forces converge:  1) COVID has h
 ighlighted that legacy infrastructure is not nimble enough to quickly addr
 ess changing needs\; and 2) the drive by government and commercial players
  to transition to interoperability and FHIR standards on an expedited basi
 s. A common theme is arising as this new digital infrastructure is being b
 uilt: Deep clinical expertise and knowledge needs to be built into these n
 ew ecosystems up front\, rather than as an afterthought. In this session\,
  hear from a leader in clinical content data science and analytics on this
  new landscape. \n\nTopics include:\n\n	* Value based care and incorporatin
 g timely\, relevant\, and actionable measures analytics into healthcare wo
 rkflows \n 	* Identification and prediction of gaps in care with the abilit
 y to intervene in care delivery\n 	* The critical nature of including clini
 cal content expertise in the development of AI/ML applications that solve 
 real-world problems\n 	* The importance of bringing “science” back into dat
 a science to properly remove bias and achieve better results\n 	* Bridging 
 the divide between the data\, technology\, and decision makers \n 
TRIGGER:-PT15M
END:VALARM
END:VEVENT
END:VCALENDAR
