William Paiva, PhD

Executive Director, OSU Center for Health Systems Innovation

Center for Health Systems Innovation

Emailwpaiva@okstate.edu

48 Citations
4 h-Index

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3 Similar Profiles

Fimbriae Proteins Medicine & Life Sciences

Sepsis Medicine & Life Sciences

Patient Protection and Affordable Care Act Medicine & Life Sciences

Systemic Inflammatory Response Syndrome Medicine & Life Sciences

Electronic Health Records Medicine & Life Sciences

Pneumocystis carinii Medicine & Life Sciences

Escherichia coli K12 Medicine & Life Sciences

Membranes Medicine & Life Sciences

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Research Output 1991 2019

48 Citations
4 h-Index
9 Article
1 Paper

Analyzing gender and racial effects of digoxin vs diltiazem in atrial fibrillation mortality using large EHR data

Sathyanarayanan, S. & Paiva, W., 2019, In : Oklahoma State Medical Proceedings. 1, 4

Research output: Contribution to journal › Article

Diltiazem

Digoxin

Atrial Fibrillation

Mortality

Drug and Narcotic Control

An assessment and cleaning framework for electronic health records data

Miao, Z., Sathyanarayanan, S., Fong, E., Paiva, W. & Delen, D., 1 Jan 2018, p. 907-912. 6 p.

Research output: Contribution to conference › Paper

Cleaning

Health

Data warehouses

Information technology

Economics

Comparison of Emergency Room Utilization for Non-Emergent Purposes Before and After the Implementation of the Affordable Care Act

Hess, J., Miller, B., Paiva, W. & Stroup, J., 2018, In : Oklahoma State Medical Proceedings. 1, 2

Research output: Contribution to journal › Article

Patient Protection and Affordable Care Act

Hospital Emergency Service

Primary Health Care

Insurance Coverage

Health Care Costs

10 Citations (Scopus)

Development of a new metric to identify rare patterns in association analysis: The case of analyzing diabetes complications

Piri, S., Delen, D., Liu, T. & Paiva, W., 15 Mar 2018, In : Expert Systems with Applications. 94, p. 112-125 14 p.

Research output: Contribution to journal › Article

Medical problems

Electronic medical equipment

Data warehouses

Association rules

Data mining

3 Citations (Scopus)

Prediction of Sepsis and In-Hospital Mortality Using Electronic Health Records

Khojandi, A., Tansakul, V., Li, X., Koszalinski, R. S. & Paiva, W., 1 Jan 2018, In : Methods of Information in Medicine. 57, 4, p. 185-193 9 p.

Research output: Contribution to journal › Article

Electronic Health Records

Hospital Mortality

William Paiva

28/05/19

1 item of Media coverage

Press/Media