Data missingness in the Michigan NEMSIS (MI-EMSIS) dataset: a mixed-methods study

Data missingness in the Michigan NEMSIS (MI-EMSIS) dataset: a mixed-methods study

Abstract Objective The study was done to evaluate levels of missing and invalid values in the Michigan (MI) National Emergency Medical Services Information System (NEMSIS) (MI-EMSIS) and explore possible causes to inform improvement in data reporting and prehospital care quality. Methods We used a m...

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Bibliographic Details
Main Authors: Mahshid Abir, Rekar K. Taymour, Jason E. Goldstick, Rosalie Malsberger, Jane Forman, Stuart Hammond, Kathy Wahl
Format: Article
Language:English
Published: BMC 2021-04-01
Series:International Journal of Emergency Medicine
Subjects:
Emergency Medical Services
Quality assurance
Prehospital health care
Quality measure
Data
Big data
Online Access:https://doi.org/10.1186/s12245-021-00343-y

Internet

https://doi.org/10.1186/s12245-021-00343-y

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