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DTSTAMP:20260519T185020Z
DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12410\nTo support precis
 ion medicine, a modern healthcare system will have to fuse and integrate da
 ta, not just in representation, but in context (ontologies, metadata, domai
 n knowledge, terminology systems), and time (temporal relationships between
  components of data).  The Patient-centered Analytic Learning Machine 
 (PALM) is an integrated big-data analytics infrastructure, built upon scala
 ble and distributed knowledge-graph technology, especially designed to conn
 ect clinical decision support, patient experience at home, care delivery pr
 ocesses, and operational and administrative support systems of Integrated D
 elivery Networks into an analytically unified command and control system ce
 ntered around life-time experiences of an individual patient.\n \nPALM
  is designed as a platform to underpin digital transformation of healthcare
  and to change the paradigm of patients experience from ‘seeking care
 ’ to ‘receiving precision care’, through assimilation of 
 data from virtually any source, large scale application of AI/ML/DL, and ef
 fective human-computer interaction, to drive care delivery. \n \n
 PALM employs a novel multi-modal data management technology to analytically
  integrate and process diagnostic imaging, clinical notes, patient generate
 d data (e.g. fitbit), streaming data from sensors and monitoring devices, I
 nternet of Things, financial and administrative systems, socioeconomic dete
 rminants of healthcare, for AI/ML/DL training and inferences. \n 
 \nThe presentation will describe the underlying entity/event based data mod
 el that allows the extreme scalability needed for a knowledge graph like PA
 LM. \n \n
DTSTART:20201020T160000
SUMMARY:Real World  Knowledge Graphs in Hospitals and Health Systems
DTEND:20201020T164959
LOCATION: See Description
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