Thirty percent of the world’s data volume is generated by the healthcare industry. From the minute details of individual patient records to the large-scale datasets generated during clinical trials, healthcare organizations constantly generate new information.
This data holds the keys to solving the healthcare industry’s biggest challenges. However, that is easier said than done. Poor data quality and lack of interoperability can make data feel like more of a burden than an asset. A strong data governance program allows you to take control of your data and create a foundation to use it to improve the quality of care, control costs, meet compliance requirements, and innovate.
Data governance is the collection of clearly defined roles, policies, procedures, and standards that ensure the effective and efficient use of data in enabling an organization to achieve its goals. Data—generated internally and externally—is constantly flowing through healthcare organizations. Without a disciplined, structured approach to managing it, it is impossible to be confident in the accuracy of that data or access it when you need it. Data governance in healthcare provides that structure and discipline.
Data governance is related to, but not the same as, data management. Your data governance strategy outlines who can take action, how they can act, the data they can interact with, the situations in which they can act, and the methods they use. Data management is the day-to-day work of implementing that strategy and effectively architecting and storing the data for use.
According to AHIMA, healthcare data governance encompasses the people, processes, and systems used to manage data throughout its lifecycle. This lifecycle, specific to healthcare, is:
A healthcare data governance framework should be implemented across the entire organization, with the goal of creating a culture of data security, reliability, accessibility, and value. This moves beyond Technology, Reporting, and Data Science departments to all groups that contribute to data and leverage information.
For example, physician and nurse champion groups, as well as financial leadership, generate and rely on massive amounts of data. This data often impacts other areas of the business throughout its lifecycle. If they are not engaged in data governance in healthcare settings, they will unknowingly and unintentionally contribute to the mismanagement of data, only adding to the cycle of poor data practices.
Despite the fact that healthcare outpaces other industries in terms of data volume, many organizations struggle to use that data to improve patient care and make critical business decisions. Underlying this issue is a lack of trust in data, and an inability to leverage it for analytics. According to a survey of healthcare executives conducted in 2021:
These issues prevent healthcare organizations from leveraging their data to solve problems. Workarounds and manual processes are all too common, which only lead to lost productivity and errors. When healthcare organizations deal with inefficiencies and inaccuracies on a regular basis, improving patient care and meeting compliance requirements are exceedingly difficult. Implementing advanced IT processes that can improve competitiveness and drive innovation is practically out of the question.
Even though healthcare leaders see the value of data, structural and historical issues prevent them from making the progress they should:
Implementing a healthcare data governance framework empowers healthcare providers to take control of the vast amount of information they generate and make it trusted and actionable. It allows you to standardize data and make it accessible to the people who need it when they need it. Everyone, from frontline workers to executives, can use data to make faster, more informed decisions.
Plus, most of the innovation in healthcare requires trusted data to succeed. As organizations implement value-based care and create products and services that solve complex healthcare challenges, many are looking to advanced analytics, machine learning, and artificial intelligence. These cutting-edge technologies must be built on a foundation of reliable, structured data.
The first step to implementing a data governance framework is to develop your approach. There are a variety of paths to achieve data governance, but the most basic approaches center on three pillars:
Once your approach is set, you can use it to help build consensus among leadership. Data governance programs require a cultural shift and need company-wide buy-in to be successful. If the Technology and Data Analytics teams are the only departments engaged in data governance, then it will undoubtedly fall short. Implementing a data governance strategy may also require external expertise, which will require budget approval from leadership.
At Kenway, we work with healthcare organizations to define and refine their data governance programs. We start by understanding your organization’s mission and vision, then creating a healthcare data governance framework that aligns with it. We identify where data governance will have the most value and assess where you are along the data maturity curve. From there, we create your data governance roadmap.
Whether you have an existing data governance program or want to start from the ground up, we can jump in to ensure that your next step is the right one. Contact us to begin the process! In the meantime, you can read more about our past experience with other healthcare organizations here.
How is Data Governance used in Healthcare?
Data governance in healthcare is used to ensure the accuracy, security, and accessibility of data throughout its lifecycle. It involves establishing clear roles, policies, and procedures to manage data effectively, from capturing and processing to storing and disposing of it. This structured approach allows healthcare organizations to improve patient care, control costs, meet compliance requirements, and innovate through reliable data.
Why is Data Governance in Healthcare so difficult?
Data governance in healthcare is challenging due to entrenched traditional processes, insufficient data interoperability standards, slower technology adoption, and the complexity and sensitivity of healthcare data. These factors make it difficult to modernize practices, implement automations, and ensure data security without risking patient privacy.
Is HIPAA Data Governance?
No, HIPAA is not data governance. HIPAA (Health Insurance Portability and Accountability Act) sets national standards for the protection of patient health information, focusing on privacy and security. Data governance, on the other hand, involves comprehensive policies, procedures, and roles for managing data accuracy, accessibility, and usability across its lifecycle to improve patient care and operational efficiency.