Is Your Healthcare Data Being Governed?

In today's rapidly evolving healthcare landscape, effective data management is crucial for delivering high-quality patient care, ensuring regulatory compliance, and improving operational efficiency. While working with MEDITECH hospitals, we recognize that robust healthcare data governance and a well-defined reporting structure are essential components that must work together.

If your data team continues to do what we call "custom one-off" reporting and is not working to ensure your organization can securely and effectively manage, analyze and utilize your data, then you should establish data governance practices now. At Acmeware, we continue to strive for what is best for our healthcare organization partners and have found that Microsoft Power BI (and the Fabric platform) are becoming foundational tools in this process.

What is Healthcare Data Governance?

Healthcare data governance refers to the overall management of the availability, usability, integrity, and security of the data employed in an organization. It involves creating policies and procedures that ensure data are accurate, accessible, consistently used across your organization and are protected. This governance framework encompasses data standards, data integrity, data literacy, data quality management, and compliance with regulatory requirements.

Why is Healthcare Data Governance Important for Hospitals?

1. Ensuring Data Quality and Integrity: Data quality and integrity are critical for clinical decision-making. Inaccurate or incomplete data can lead to diagnostic errors, inappropriate treatments, and adverse patient outcomes.
2. Compliance and Regulatory Requirements: Healthcare organizations must comply with various regulations such as HIPAA and other local and federal laws concerning patient data privacy and security. A robust data governance framework helps maintain compliance by establishing clear protocols for data handling, access control, and breach response.
3. Operational Efficiency: Efficient data management streamlines hospital operations by reducing redundancy and minimizing errors. Effective data governance ensures that data flows seamlessly across departments, improving overall operational efficiency.
4. Enhanced Patient Care: High-quality, well-governed data supports clinical decision-making and patient care. With reliable data, healthcare providers can track patient histories, monitor treatment plans, and make informed decisions quickly.
5. Strategic Decision-Making: Data-driven decision-making is pivotal for hospital management. Through accurate data analytics, hospitals can identify trends, assess performance metrics, and allocate resources more effectively.

Who is Responsible?

Governance adoption is the biggest challenge we continually talk about with our healthcare organization partners. Well-governed data is only helpful if the organization as a whole embraces it. How often has your IT report writer completed a custom report, sent it to the end user or department manager only to find out six months later that they are not using it. These types of behavior create data silos in your organization which will lead to duplicate or inconsistent data once everything is unified.

So WHO is responsible for governing your data? Really, the answer is everyone in your organization, but knowing your role and responsibilities are key. The American Health Information Management Association (AHIMA) does a phenomenal job of outlining important data governance roles. It is imperative that your organization identifies who your key employees, departments and vendors are that will make up your data governance team.

How Does Healthcare Data Governance Work?

1. Data sponsor: Data governance starts with a data champion within leadership. The sponsor represents the system and advocates for its usage across the organization.
2. Define your data sources: Identify operational data so that it can be used and referenced across all departments consistently. Define your source of truth for all data models. This means no more "one off" custom reports.
3. Strategic goals and planning: Data governance serves as a critical framework that ensures data is managed in a way that directly supports the strategic goals and planning of an organization. Identifying key performance indicators (KPIs) and metrics that are critical for achieving objectives.
4. Tools and technology: Select the data warehouse solution that will house your many data sources. More and more healthcare organizations are using Microsoft Fabric and Power BI. Acmeware's Empower solution uses Power BI with certified semantic models which is a visual indicator to your data team and end users that it meets your organizational certification criteria.
5. Data governance team: Define your roles and responsibilities for who is responsible for managing the data from start to finish.

Resources

• Microsoft Fabric Power BI Governance
• HIMSS Analytics Maturity Model
• Healthcare Data Governance Practice Brief (AHIMA)