“Come along and ride on a fantastic [Springbuk] voyage! Springbuk is the captain of this vessel and we want to take you on a cruise…”
Before we begin our analytic journey, let’s review the decks of our Springbuk ship:
Similarly to why some vacationers on a cruise disembark for every excursion while others lounge by the pool the entire voyage, we know there are different types of healthcare data and analytic users. We’ve built our product to be flexible with each user’s individual needs.
Each user has their own path for their journey, and we broadly characterize these paths and users as follows:
Let’s start with the typical business user. We live in a world of almost limitless data but very little time. A recent study noted that 85% of us are stressed at work, often from too many tasks. Business users today need immediate access to actionable information. For instance, many of our employer clients are getting nervous by all the recent headlines related to GLP-1 drugs, including Ozempic, Wegovy, and the combination drug Mounjaro, and need information on how these trends may impact their population health and cost trends.
Glucagon-like peptide-1 (GLP-1) agonists are a class of drugs originally used in the treatment of type 2 diabetes. In addition, some of these drugs have been FDA-approved as treatments for obesity or can be prescribed to overweight individuals with comorbidities. Two GLP-1 agonists, Saxenda and Wegovy, are now approved for weight loss, but there is a growing trend to use others like Ozempic off-label for this purpose. Springbuk business users can get fast facts through Springbuk Insights, our interactive dashboards, and on-demand story library to help formulate proactive strategies:
For end users who have a bit more time for investigation and want to satisfy a particular data curiosity, they can build their own custom stories using Springbuk’s intuitive Report Builder capabilities.
Users can also perform further custom exploration in Advanced Reports. Here the user can scrutinize GLP-1 drug utilization and cost trends in their population or further drill into analytic enrichments, like episode treatment groups and Springbuk service type classifications to understand the total cost of care for diabetes and obesity.
We have some end users who are seasoned data explorers. These users often have very specific business questions or populations of interest that they need to research. Other times, they want quick access to data extracts for exploratory analytics. Springbuk provides on-demand export of data summaries, including a rolling financial summary, as well as allows the user to design meaningful extract criteria and export using Advanced Reports.
One particular use case that Springbuk clients often note is their need to reconcile the results they receive from multiple vendors. Often there can be overlap in the populations being managed by multiple vendors, and analysts want to dig deep into their data to analyze the candidates for these programs, those enrolled in these programs, and those who have chosen to opt-out. In Advanced Reports, Springbuk provides access to all data sources, enrichment algorithms, predictive models, and benchmarking data to support interactive and intuitive drag-and-drop analysis.
Springbuk allows seasoned explorers to analyze their data fast and easily pivot a different route if they find something unexpected.
At Springbuk, we understand the essential building blocks of a successful healthcare data and analytics platform. It all starts with a firm understanding of our clients’ analytic needs and what is most important to them. Building on our strong foundation of data management, analytic enrichment, and robust predictive models, we deliver self-service analytics that cater to the needs of every user. We do this by meeting users at their desired port on their analytic journey.
With Springbuk, you can just “slide, glide slippity-slide. Just forget about your trouble and your 9 to 5. Come along and ride on a [Springbuk] fantastic voyage.”
1 “Fantastic Voyage”, Song and lyrics by Lakeside
2“40+ WORRISOME WORKPLACE STRESS STATISTICS : FACTS, CAUSES, AND TRENDS”, The American Institute of Stress, 2022
3Glucagon-like Peptide-1 Agonists, National Library of Medicine, 2023. https://www.ncbi.nlm.nih.gov/books/NBK551568/