How to Evaluate a Clinical Analytics Vendor: A Checklist
associated open source tools is not an appropriate analytic and data warehousing infrastructure option at this time in healthcare (accept for gene sequencing). Microsoft is the most integrated, affordable and easiest to manage of these technology platforms and now makes up 70 percent of all new sales in the clinical analytics and data warehousing market, across all industries, far outpacing Oracle in new sales, its closest competitor. Rumors about Microsoft’s ability to scale up to large, multi-terabyte data warehouses are totally unfounded. Microsoft’s parallel data warehouse platform can scale to the petabyte level, far beyond the largest data warehouse needs in the healthcare provider space. Ask any data engineer who has worked extensively on either Microsoft or Oracle, which platform he or she believes is the easiest to use and most efficient for delivering quick, adaptable clinical analytics solutions? The answer will almost certainly be Microsoft.
Cultural Change Management
As mentioned previously, technology is important – but it is only a part of the equation in creating a successful clinical analytics program. A vendor’s solution must also include processes and real-world experience for helping your manage sustainable change in your organization, driven by analytics. Nothing is more politically or culturally disruptive than the spotlight of clinical analytics, not even the deployment of an EMR. You want a vendor that has been in the trenches of cultural transformation driven by the enlightenment of data.
Your Clinical Analytics Roadmap: The Healthcare Analytics Adoption Model
Health Catalyst joined with other thought leaders in the analytics industry to lead the development of a Healthcare Analytics Adoption Model. The model outlines eight levels of analytics adoption an organization passes through as it gains sophistication in using its data to drive improvement. Like a course curriculum for college studies, following this model with discipline will lead to the successful adoption of clinical analytics in your organization, both culturally and technically. Use this model for evaluating vendors’ capabilities in each level – and have the vendor demonstrate its products and services for each level.
The model also provides a roadmap for your organization to measure your progress of clinical analytics adoption. Ask yourself, “How fast do we want to achieve the highest levels of adoption in this model?” With the right analytics vendor as a partner, organizations can achieve Level 5 within 18 months of implementing and following the model, and some organizations can make it in 12 months. Level 7 is easily achievable within 24 to 30 months.
This model provides a standard to help you move beyond a patchwork of single-purpose, point solutions to a robust, data-driven health delivery system capable of tailoring care while optimizing efficiency and cost. Does a vendor’s solution support each level in the model? Ask them to prove it.
The details behind this model, including a self-inspection guide, can be found at: Healthcare Analytics Adoption Model
Choosing the Best Clinical Analytics Company
Healthcare is at the threshold of the next revolution in data management – where organization will be able to analyze and make informed decisions based on the data that they’ve been collecting and sharing. This is a critical time to set your organization on a path to data-driven improvement. The criteria outlined in this paper will help you choose the best clinical analytics partner with the expertise, processes and technology to help you achieve this objective.
Would you like to use or share these concepts? Download this Clinical Analytics presentation highlighting the key main points.