Toward High-Quality Big Data to Support Population Health: Identifying the Data Quality Problems with Medicaid Datasets

Abstract of a poster presentation delivered at the University of Maryland School of Nursing, Summer Institute in Nursing Informatics (SINI) 2017: Clinical Practice, Health and the Internet of Things.

Keyword

data analysis
data defect
Medicaid Management Information Systems (MMIS)
health information technology
Medical Informatics
University of Maryland, Baltimore. School of Nursing
Nursing informatics

Identifier to cite or link to this item

http://hdl.handle.net/10713/8019

Accessibility Note

For accessibility assistance with this record, please contact ArchiveHelp@hshsl.umaryland.edu

Toward High-Quality Big Data to Support Population Health: Identifying the Data Quality Problems with Medicaid Datasets

Zhang, Yili, M.S.

Author

Advisor

Date

Embargo until

Language

Book title

Journal

Publisher

Peer Reviewed

Type

Research Area

Jurisdiction

Collections

Files

Other Titles

See at

Abstract

Data Availibility

Data / Code Location

Table of Contents

Description

Series/Report No.

Sponsors

Rights/Terms

Citation

Keyword

Identifier to cite or link to this item

Scopus Identifier

Embedded videos

Accessibility Note