Using artificial intelligence to improve hospital inpatient care

Research output: Contribution to journalArticle

Abstract

AI can be used to address many challenges facing America's healthcare system—from disease detection to building predictive models for treatment—thereby improving the quality and lowering the cost of patient care.

Original languageEnglish (US)
Article number6547974
Pages (from-to)92-95
Number of pages4
JournalIEEE Intelligent Systems
Volume28
Issue number2
DOIs
StatePublished - Jul 19 2013

Fingerprint

Artificial intelligence
Costs

Keywords

  • EHR
  • electronic health records
  • fast subset scan
  • intelligent systems
  • machine learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Using artificial intelligence to improve hospital inpatient care. / Neill, Daniel.

In: IEEE Intelligent Systems, Vol. 28, No. 2, 6547974, 19.07.2013, p. 92-95.

Research output: Contribution to journalArticle

@article{cc611bd649eb45eaa311edaa486c7247,
title = "Using artificial intelligence to improve hospital inpatient care",
abstract = "AI can be used to address many challenges facing America's healthcare system—from disease detection to building predictive models for treatment—thereby improving the quality and lowering the cost of patient care.",
keywords = "EHR, electronic health records, fast subset scan, intelligent systems, machine learning",
author = "Daniel Neill",
year = "2013",
month = "7",
day = "19",
doi = "10.1109/MIS.2013.51",
language = "English (US)",
volume = "28",
pages = "92--95",
journal = "IEEE Intelligent Systems",
issn = "1541-1672",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

TY - JOUR

T1 - Using artificial intelligence to improve hospital inpatient care

AU - Neill, Daniel

PY - 2013/7/19

Y1 - 2013/7/19

N2 - AI can be used to address many challenges facing America's healthcare system—from disease detection to building predictive models for treatment—thereby improving the quality and lowering the cost of patient care.

AB - AI can be used to address many challenges facing America's healthcare system—from disease detection to building predictive models for treatment—thereby improving the quality and lowering the cost of patient care.

KW - EHR

KW - electronic health records

KW - fast subset scan

KW - intelligent systems

KW - machine learning

UR - http://www.scopus.com/inward/record.url?scp=84880181330&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880181330&partnerID=8YFLogxK

U2 - 10.1109/MIS.2013.51

DO - 10.1109/MIS.2013.51

M3 - Article

VL - 28

SP - 92

EP - 95

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

SN - 1541-1672

IS - 2

M1 - 6547974

ER -