From Tools & Terms, Chapter 1 of the 5 part Building a Data-Driven Culture: A Video Learning Series.
You and your team have completed the Analytics Capability Assessment: Now what? A great place to start is to pick two to three factors you’d like to work on as you seek to manage and use data more effectively. These worksheets can help focus your actions and serve as the basis around which to organize a data governance committee.
We’ve selected four of our recommended high priority factors to start with. These four factors (data stewardship, data governance, data quality, data driven culture) were chosen because they can jumpstart your capacity/building and offer an amplifying effect, often at low or no cost. For example, by focusing on data stewardship and assigning data stewards in one or more departments or clinical sites, data quality will likely improve significantly. Similarly, by focusing on data governance processes, data stewards will feel supported and empowered thus increasing their effectiveness.
To use the worksheet with your team, first verify or agree upon your capability score in that particular factor. If you fall in the Reactive or Responsive level, brainstorm some immediate actions you can take within a single department, QI project or grant you’re working on rather than the trying to increase capability across the entire organization. In other words, start small, demonstrate value and build from there. Don’t try to boil the ocean!
If you are in the Proactive or Predictive range, your actions might focus on strengthening and spreading processes that are working well across the organization and building “bench strength” to ensure capability is not resting in one or two individuals.
When you’ve agreed upon the most important first step you can take, think about whether you need any support, buy in, or whether there are any known obstacles to taking this action. Identify a team member to resolve the issue or remove the barrier. Whenever possible, break actions into small steps that you can take without a lot of “organizational overhead.” Then, identify what actions you’d want to take in three to six months if your initial actions help improve data quality, increase data literacy and/or maximize data access.
Chapter 1: Terms & Tools
In many ways, culture is really about language. Working in a data-driven culture means understanding and using terminology that helps us break down and talk about complex concepts and then put those concepts into action. This section aims to simplify and demystify these terms and provide a reference as we delve into more complicated issues in further sections. Here you will also find tools that will help you plan and navigate your data capacity-building journey and align your data strategy with your organizational strategy.
Terms
These “explainers” aim to define and contextualize some of the many concepts in managing data and making the most of it as the healthcare landscape changes.
- What is Data Governance?
- What is Data Stewardship?
- What is Data Literacy?
- What is a Data Model?
- What is Data Density and Data Liquidity?
- What is Controlled (or Structured) Clinical Vocabulary?
- What is Risk Stratification?
- What is Capitation?
- What is Cost Benefit Analysis?
- What is Value Based Payment?
Tools: Assessments & Worksheets
Assessments and worksheets to help find your starting point and map out needs and goals.
