Smart EHR-A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter

Abrar Rahman, Ari Mitra, Fuad Rahman, Marvin J. Slepian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work focuses on creating a smart Electronic Health Record (EHR) platform to collect and analyze doctor-patient interactions. It is an often cited fact that doctors are spending less and less time with patients, but two recent surveys have quantified what these numbers really are and the results are disturbing. In one survey [1], it was found that during the office day, physicians spent 27.0% of their total time on direct clinical face time with patients and 49.2% of their time on EHR and deskwork. In another survey [2], results 'suggest that the physicians logged an average of 3.08 hours on office visits and 3.17 hours on desktop medicine each day,... Over time, log records from physicians showed a decline in the time allocated to face-to-face visits, accompanied by an increase in time allocated to desktop medicine It is precisely this problem that the University of Arizona's 'Wired Room' project seeks to address.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
EditorsChaitanya Baru, Jun Huan, Latifur Khan, Xiaohua Tony Hu, Ronay Ak, Yuanyuan Tian, Roger Barga, Carlo Zaniolo, Kisung Lee, Yanfang Fanny Ye
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6198-6200
Number of pages3
ISBN (Electronic)9781728108582
DOIs
StatePublished - Dec 2019
Event2019 IEEE International Conference on Big Data, Big Data 2019 - Los Angeles, United States
Duration: Dec 9 2019Dec 12 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Conference

Conference2019 IEEE International Conference on Big Data, Big Data 2019
CountryUnited States
CityLos Angeles
Period12/9/1912/12/19

Keywords

  • Big-data
  • EHR
  • EMR
  • NLP
  • classification
  • data modeling
  • pattern mining
  • sentiment analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

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