Utilizing Big Data in Cancer Care

Cary Jo R. Schlick; Joshua P. Castle; David J. Bentrem

doi:10.1016/j.soc.2018.05.005

Utilizing Big Data in Cancer Care

Cary Jo R. Schlick^*, Joshua P. Castle, David J. Bentrem

^*Corresponding author for this work

Surgery, Surgical Oncology Division

Research output: Contribution to journal › Review article › peer-review

13 Scopus citations

Abstract

Clinical research has boomed over the past decade, with the development of multiple clinical datasets that are available for retrospective review. However, data remain incomplete based on fragmented reporting, provider change, and loss of follow-up. New technologies are being developed to assist with this limitation, by joining health care systems’ medical records, and tracking Medicare claims files. The future of health care will rely more heavily on these systems, and artificial intelligence to quickly pull relevant clinical and genomic data regarding particular diagnoses, as a means to personalize medicine. This article reviews current advances in management of Big Data.

Original language	English (US)
Pages (from-to)	641-652
Number of pages	12
Journal	Surgical Oncology Clinics of North America
Volume	27
Issue number	4
DOIs	https://doi.org/10.1016/j.soc.2018.05.005
State	Published - Oct 2018

Keywords

Big data
Clinical databases
Electronic health records
Oncologic outcomes

ASJC Scopus subject areas

Oncology
Surgery

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.soc.2018.05.005

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title = "Utilizing Big Data in Cancer Care",

abstract = "Clinical research has boomed over the past decade, with the development of multiple clinical datasets that are available for retrospective review. However, data remain incomplete based on fragmented reporting, provider change, and loss of follow-up. New technologies are being developed to assist with this limitation, by joining health care systems{\textquoteright} medical records, and tracking Medicare claims files. The future of health care will rely more heavily on these systems, and artificial intelligence to quickly pull relevant clinical and genomic data regarding particular diagnoses, as a means to personalize medicine. This article reviews current advances in management of Big Data.",

keywords = "Big data, Clinical databases, Electronic health records, Oncologic outcomes",

author = "Schlick, {Cary Jo R.} and Castle, {Joshua P.} and Bentrem, {David J.}",

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year = "2018",

month = oct,

doi = "10.1016/j.soc.2018.05.005",

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AU - Schlick, Cary Jo R.

AU - Castle, Joshua P.

AU - Bentrem, David J.

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N2 - Clinical research has boomed over the past decade, with the development of multiple clinical datasets that are available for retrospective review. However, data remain incomplete based on fragmented reporting, provider change, and loss of follow-up. New technologies are being developed to assist with this limitation, by joining health care systems’ medical records, and tracking Medicare claims files. The future of health care will rely more heavily on these systems, and artificial intelligence to quickly pull relevant clinical and genomic data regarding particular diagnoses, as a means to personalize medicine. This article reviews current advances in management of Big Data.

AB - Clinical research has boomed over the past decade, with the development of multiple clinical datasets that are available for retrospective review. However, data remain incomplete based on fragmented reporting, provider change, and loss of follow-up. New technologies are being developed to assist with this limitation, by joining health care systems’ medical records, and tracking Medicare claims files. The future of health care will rely more heavily on these systems, and artificial intelligence to quickly pull relevant clinical and genomic data regarding particular diagnoses, as a means to personalize medicine. This article reviews current advances in management of Big Data.

KW - Big data

KW - Clinical databases

KW - Electronic health records

KW - Oncologic outcomes

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JO - Surgical Oncology Clinics of North America

JF - Surgical Oncology Clinics of North America

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Utilizing Big Data in Cancer Care

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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