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Big Data in Health Care: An Interprofessional Course
Margaret J Calcote1, Joshua R Mann, Kim G Adcock
1Author Affiliations: Assistant Professor (Dr Calcote), The University of Mississippi Medical Center School of Nursing, Jackson; Professor and Chair (Dr Mann), Department of Preventive Medicine, The University of Mississippi Medical Center School of Medicine, Jackson; Professor (Dr Adcock), Pharmacy Division, The University of Mississippi Medical Center School of Pharmacy, Jackson; Professor (Dr Duckworth), The University of Mississippi Medical Center Division of Internal Medicine, Jackson; and Medical Student M3 (Mr Donald), The University of Mississippi Medical Center School of Medicine, Jackson.
Healthcare professionals require training to analyze electronic health record (EHR) big data. An online course enabled interprofessional students to analyze EHR data, improving data-informed healthcare decision-making.
Area of Science:
- Health Informatics
- Data Science in Healthcare
- Medical Education
Background:
- Electronic Health Records (EHR) generate vast datasets.
- EHR big data enables identification of patterns for improved healthcare.
- Data-driven decision-making is crucial in modern healthcare.
Purpose of the Study:
- To equip healthcare professionals with skills to navigate digitized health environments.
- To integrate big data analysis into health professional education.
- To foster interprofessional collaboration in analyzing health data.
Main Methods:
- An asynchronous online course was developed.
- Faculty incorporated big data concepts and EHR analysis.
- An interprofessional mix of students analyzed EHR big data from over a million patients.
Main Results:
- Students performed descriptive analyses on patient cohorts with specific diagnoses.
- Interprofessional teams utilized data visualization tools.
- Findings were presented on assigned diagnosis patient populations.
Conclusions:
- Interprofessional collaboration enhances EHR big data analysis.
- Students gained practical experience in analyzing large-scale health datasets.
- The course successfully prepared students for a data-rich healthcare landscape.
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