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Title:
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A GENERAL METHOD FOR ANALYZING THE NATIONWIDE INPATIENT SAMPLE DATA SET |
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Author(s):
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Hua-Ching Su, Sneha Dhanya, Steven Dolins |
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ISBN:
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978-989-8533-20-3 |
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Editors:
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Hans Weghorn |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Healthcare informatics and data mining application |
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Type:
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Full Paper |
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First Page:
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115 |
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Last Page:
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122 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Nationwide Inpatient Sample (NIS) is a collection of data from 1000 hospitals and it contains approximately seven million data records per year, where each record corresponds to one hospital visit or stay; this is approximately a 20% stratified sample of hospitals in the U.S. Each patient stay or NIS data record includes more than one hundred clinical and non-clinical data elements, such as primary and secondary diagnoses, primary and secondary procedures, admission and discharge status, patient demographics (gender, age, race, median income for zip code), payment source, total charges, length of stay, hospital characteristics (ownership, size). This paper describes a general method for analyzing NIS data with respect to cost and the method is applicable across medical specialties. That is for any diagnosis, the method analyzes how patient and hospital geography and profiles influence treatment, cost, and outcome(s). |
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