Healthcare Data Analytics for Parkinson's Disease Patients: A Study of Hospital Cost and Utilization in the United States

Sunanda Mukherjee, Huanmei Wu, Josette Jones

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Parkinson's Disease (PD), a prevalent problem, especially for the aged populations, is a progressive but non-fatal nervous system disorder. PD patients have special motor as well as non-motor symptoms over time. There are several limitations in the study of PD such as unavailability of data, proper diagnosis and treatment methods. These limitations significantly reduce the quality of PD patient life quality, either directly or indirectly. PD also imposes great financial burdens to PD patients and their family. This project aims to analyze the most common reasons for PD patient hospitalization, review complications that occur during inpatient stays, and measure the costs associated with PD patient characteristics. Using the HCUP NIS data, comprehensive data analysis has been performed. The results are customized visualized using Tableau and other software systems. The preliminary findings sheds light into how to improve the life quality of PD patients.

Original languageEnglish (US)
Pages (from-to)1950-1958
Number of pages9
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2016
StatePublished - Jan 1 2016

Fingerprint

Hospital Costs
Parkinson Disease
Delivery of Health Care
Quality of Life
Nervous System Diseases
Inpatients
Hospitalization
Software
Costs and Cost Analysis

Keywords

  • Data Analytics
  • HCUP NIS database
  • Hospitalization utilization and cost
  • Parkinson’s disease
  • Tableau

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Healthcare Data Analytics for Parkinson's Disease Patients : A Study of Hospital Cost and Utilization in the United States. / Mukherjee, Sunanda; Wu, Huanmei; Jones, Josette.

In: AMIA ... Annual Symposium proceedings. AMIA Symposium, Vol. 2016, 01.01.2016, p. 1950-1958.

Research output: Contribution to journalArticle

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