Understanding the broad stakeholder landscape
Data analytics in healthcare serves a diverse range of stakeholders, including financial personnel, clinical staff, researchers, and partners. As Michael Meucci points out, the challenge lies in catering to the needs of this wide array of users and connecting the various analytics efforts cohesively.
To achieve this, healthcare organizations must adopt a comprehensive data governance framework that spans across the entire organization. Without a single definition of data governance, analytics efforts may become disjointed, leading to suboptimal outcomes and dissatisfaction with the platform's performance.
Meucci emphasizes, "You need to be able to evaluate each of those use cases and think about how you create that end-to-end vision of how you use analytics to drive the business forward and connect the different analytics efforts. If you don't have a single definition of data governance across the organization, you're going to create a bunch of swirl."
This lack of unified data governance is a significant contributing factor to the dissatisfaction experienced by users with their analytics platforms. Chad Konchak highlights the importance of providing quick and accurate answers to users' questions. In a complex healthcare setting, stakeholders often require timely information to make informed decisions.
However, the lack of centralized data and standardized governance can lead to disparate answers from different teams, causing confusion and a lack of trust in the data. Therefore, the ideal data analytics platform should enable users to access information swiftly and consistently, empowering them to drive data-driven business decisions with confidence.
Konchak further explains, "They ask one group in one area and it doesn't happen very fast, they don't like the answer, or it's not very good. So then they ask a different group, and now they get different answers." The lack of a cohesive and reliable analytics platform leads to uncertainty and dissatisfaction among users.