Dataset Information

A New Paradigm to Analyze Data Completeness of Patient Data.

ABSTRACT:

Background

There is a need to develop a tool that will measure data completeness of patient records using sophisticated statistical metrics. Patient data integrity is important in providing timely and appropriate care. Completeness is an important step, with an emphasis on understanding the complex relationships between data fields and their relative importance in delivering care. This tool will not only help understand where data problems are but also help uncover the underlying issues behind them.

Objectives

Develop a tool that can be used alongside a variety of health care database software packages to determine the completeness of individual patient records as well as aggregate patient records across health care centers and subpopulations.

Methods

The methodology of this project is encapsulated within the Data Completeness Analysis Package (DCAP) tool, with the major components including concept mapping, CSV parsing, and statistical analysis.

Results

The results from testing DCAP with Healthcare Cost and Utilization Project (HCUP) State Inpatient Database (SID) data show that this tool is successful in identifying relative data completeness at the patient, subpopulation, and database levels. These results also solidify a need for further analysis and call for hypothesis driven research to find underlying causes for data incompleteness.

Conclusion

DCAP examines patient records and generates statistics that can be used to determine the completeness of individual patient data as well as the general thoroughness of record keeping in a medical database. DCAP uses a component that is customized to the settings of the software package used for storing patient data as well as a Comma Separated Values (CSV) file parser to determine the appropriate measurements. DCAP itself is assessed through a proof of concept exercise using hypothetical data as well as available HCUP SID patient data.

SUBMITTER: Nasir A

PROVIDER: S-EPMC5052547 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Publications

A New Paradigm to Analyze Data Completeness of Patient Data.

Nasir Ayan A Gurupur Varadraj V Liu Xinliang X

Applied clinical informatics 20160803 3

<h4>Background</h4>There is a need to develop a tool that will measure data completeness of patient records using sophisticated statistical metrics. Patient data integrity is important in providing timely and appropriate care. Completeness is an important step, with an emphasis on understanding the complex relationships between data fields and their relative importance in delivering care. This tool will not only help understand where data problems are but also help uncover the underlying issues ...[more]

PMID: 27484918

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Dataset Information

A New Paradigm to Analyze Data Completeness of Patient Data.

Background

Objectives

Methods

Results

Conclusion

Publications

A New Paradigm to Analyze Data Completeness of Patient Data.

Similar Datasets

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