Artificial intelligence (AI) to improve patient outcomes in community oncology practices.

John Frownfelter; Sibel Blau; Ray D. Page; John Showalter; Kelly Miller; Jonathan Kish; Amy W. Valley; Chadi Nabhan

doi:10.1200/JCO.2019.37.15_SUPPL.E18098

Artificial intelligence (AI) to improve patient outcomes in community oncology practices.

John Frownfelter
, Sibel Blau
, Ray D. Page
, John Showalter
, Kelly Miller
, Jonathan Kish
, Amy W. Valley
, Chadi Nabhan

Jvion Inc, Johns Creek, GA;
Rainier Hematology Oncology/NWMS, Seattle, WA;
The Center for Cancer and Blood Disorders, Fort Worth, TX;
Cardinal Health, Dublin, OH;
Aptitude Health, Atlanta, GA;

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of Clinical Oncology
Volume	37
DOIs	https://doi.org/10.1200/JCO.2019.37.15_SUPPL.E18098
State	Published - May 26 2019
Externally published	Yes

Disciplines

Artificial Intelligence and Robotics
Medicine and Health Sciences

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10.1200/JCO.2019.37.15_SUPPL.E18098License: Unspecified

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@article{e395ebf1cbdb4914a02b8e3173213549,

title = "Artificial intelligence (AI) to improve patient outcomes in community oncology practices.",

author = "John Frownfelter and Sibel Blau and Page, \{Ray D.\} and John Showalter and Kelly Miller and Jonathan Kish and Valley, \{Amy W.\} and Chadi Nabhan",

note = "e18098 Background: Artificial Intelligence(AI) for predictive analytics has been studied extensively in diagnostic imaging and genetic testing. Cognitive analytics adds by suggesting interventions that optimize health outcomes using real-time data and machine learning. Herein, we report the results of a pilot study of the Jvion, Inc.",

year = "2019",

month = may,

day = "26",

doi = "10.1200/JCO.2019.37.15\_SUPPL.E18098",

language = "American English",

volume = "37",

journal = "Journal of Clinical Oncology",

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TY - JOUR

T1 - Artificial intelligence (AI) to improve patient outcomes in community oncology practices.

AU - Frownfelter, John

AU - Blau, Sibel

AU - Page, Ray D.

AU - Showalter, John

AU - Miller, Kelly

AU - Kish, Jonathan

AU - Valley, Amy W.

AU - Nabhan, Chadi

N1 - e18098 Background: Artificial Intelligence(AI) for predictive analytics has been studied extensively in diagnostic imaging and genetic testing. Cognitive analytics adds by suggesting interventions that optimize health outcomes using real-time data and machine learning. Herein, we report the results of a pilot study of the Jvion, Inc.

PY - 2019/5/26

Y1 - 2019/5/26

UR - https://ascopubs.org/doi/abs/10.1200/JCO.2019.37.15_suppl.e18098

U2 - 10.1200/JCO.2019.37.15_SUPPL.E18098

DO - 10.1200/JCO.2019.37.15_SUPPL.E18098

M3 - Article

VL - 37

JO - Journal of Clinical Oncology

JF - Journal of Clinical Oncology

ER -

Artificial intelligence (AI) to improve patient outcomes in community oncology practices.

Disciplines

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