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Transforming The Patient Experience with Mobile Technology and Big Data
Christopher Longhurst, MD, MS, FACMIClinical Professor of Medicine and Pediatrics, UCSD School of MedicineChief Information Officer, UC San Diego Health Sciences
@calonghurst
Conflict of Interest StatementI have no real or apparent conflicts of interest relevant to this presentation.
3
Big Data and the Gartner Hype Cycle
“Big Data” Signals in Biomedicine & Healthcare
• Physiologic signals (remote monitoring, quantified self)
• Images (radiology, pathology, dermatology, ophthalmology)
• Omics (genomics, microbiomics, proteonomics)
• Social data (network analysis, crowdsourced)
• EMR data (structured and unstructured)
“Big Data” Signals in Biomedicine & Healthcare
• Physiologic signals (remote monitoring, quantified self)• Images (radiology, pathology, dermatology, ophthalmology)
• Omics (genomics, microbiomics, proteonomics)
• Social data (network analysis, crowdsourced)
• EMR data (structured and unstructured)
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EHR Data Integration Architecture
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Physiologic data (JAMIA, April 2016)
Physiologic Data – Mobile
“Big Data” Signals in Biomedicine & Healthcare
• Physiologic signals (remote monitoring, quantified self)
• Images (radiology, pathology, dermatology, ophthalmology)• Omics (genomics, microbiomics, proteonomics)
• Social data (network analysis, crowdsourced)
• EMR data (structured and unstructured)
Imaging Informatics – Mobile
“Big Data” Signals in Biomedicine & Healthcare
• Physiologic signals (remote monitoring, quantified self)
• Images (radiology, pathology, dermatology, ophthalmology)
• Omics (genomics, microbiomics, proteonomics)• Social data (network analysis, crowdsourced)
• EMR data (structured and unstructured)
Omics – Industry
“Big Data” Signals in Biomedicine & Healthcare
• Physiologic signals (remote monitoring, quantified self)
• Images (radiology, pathology, dermatology, ophthalmology)
• Omics (genomics, microbiomics, proteonomics)
• Social data (network analysis, crowdsourced)• EMR data (structured and unstructured)
Social Data
JMIR, 2016
“Big Data” Signals in Biomedicine & Healthcare
• Physiologic signals (remote monitoring, quantified self)
• Images (radiology, pathology, dermatology, ophthalmology)
• Omics (genomics, microbiomics, proteonomics)
• Social data (network analysis, crowdsourced)
• EMR data (structured and unstructured)
Who is using your EMR…?
OpenNotes @ UCSD Health
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A Challenge
Direct and Open Scheduling @ UCSD Health
Clinical Trials Recruiting @ UC San Diego Health
Jacobs Medical Center, Nov 2016
Jacobs Medical Center, Nov 2016
Bedside tablets control lighting, blinds, temperature, entertainment system, and “smart” portal with care team photos, medical record
access, education videos
Journal of Participatory Medicine, Dec 2012
26
Health Record Data Banks?
27
Health Record Data Banks?
Grand Rounds, 1971 HIMSS Symposium, 2013
28
Larry Weed (1924 – 2017)
“Patients are the largest untapped resource in medical care today.”- Larry Weed, MD, 1969