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Revolutionizing Health Care Analytics Through Data Democratization at America's Largest Municipal Health Care
Bharti Sharma1, Adnan Abdul1, Hnin Phyu1
1Department of Data and AI, New York City Health + Hospitals.
Achieving data democracy in healthcare requires strategic leadership and dedicated data champions. This initiative improved organizational agility and decision-making through training, governance, and accessible data tools.
Area of Science:
- Health informatics
- Organizational behavior
- Data governance
Background:
- Healthcare data utilization is rapidly evolving.
- Data democracy is essential for organizational agility and effective decision-making.
- Securing leadership and stakeholder buy-in is critical for data initiatives.
Purpose of the Study:
- To document the journey toward data democracy at a large public hospital system.
- To highlight the role of strategic alignment and stakeholder engagement.
- To share insights for other organizations aiming to foster a data-informed culture.
Main Methods:
- Initiative started with early adopters and a roadmap, progressing through iterative updates.
- Established and trained data champions as a crucial element.
- Focused on establishing a data academy, support mechanisms, governance policies, and data asset curation.
Main Results:
- Key areas of focus included data champions, data academy, governance, and tool access.
- Challenges in data integration, accessibility, and quality were identified.
- Robust governance and policy frameworks are vital for data-driven decision-making.
Conclusions:
- The journey involved strategic alignment, iterative progress, and dedicated data champions.
- Overcoming challenges requires strong governance and policy frameworks.
- Lessons learned can guide other organizations in achieving data democracy and a data-informed culture.
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