Our health care analysts build data-driven products (dashboards, reports, etc.), and they think through all of the technical implementation steps required to make these products successful. The next step determines the success of the product: pinpointing and avoiding the potential pitfalls that can undermine its usefulness. These pitfalls include:
Often data sources look like a dangerous cocktail of social determinants of health coupled with genetic, environmental and clinical data with other information thrown in. Finding a meaningful way to manage these data and capitalize on the value of the information can be challenging.
Let’s look at the end user of our analytical products – the provider. The volume, variety and velocity of available information can far exceed any professional’s abilities to process and interpret. For example, our Partnership to Advance Tribal Health (PATH) participating hospitals are bombarded and confused by multiple layers of mandatory reporting and dashboards provided by local area offices, their Medicare Quality Improvement Networks, their Hospital Improvement Innovation Network organization, tribal epidemiology centers, state departments of health and many more organizations.