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Imagine you are hired by a local healthcare facility that has not yet developed a data management strategy. What factors would you consider for developing a data management strategy? What data characteristics would you include in the strategy? (see AHIMA Data Quality Model Characteristics https://library.ahima.org/PB/DataQualityModel). How would you ensure compliance with this strategy in your facility?
As a data management consultant for a healthcare facility establishing its first formal framework, the goal is to move from fragmented "data silos" to a cohesive, high-integrity system. A robust strategy ensures that information is not just stored, but utilized as a strategic asset for patient safety and financial health.
Before drafting the policy, I would evaluate several environmental and structural factors to ensure the strategy is "fit-for-purpose":
Organizational Infrastructure: Assessing the current Electronic Health Record (EHR) capabilities and any legacy systems (paper or digital) that need integration.
Regulatory Landscape: Ensuring alignment with HIPAA (Privacy and Security), the HITECH Act, and the 21st Century Cures Act regarding interoperability and patient access.
Stakeholder Needs: Identifying the different data "consumers" (e.g., clinicians needing real-time labs, billers needing accurate codes, and executives needing population health trends).
Data Governance Structure: Establishing who "owns" the data. This involves creating a Data Governance Committee to oversee ethics, access, and stewardship.