Get a holistic view of your organization’s care delivery to drive better outcomes for patients, providers and payors.
In this UCSD Campus LISA webinar, you will learn how you can utilize data mesh for healthcare. Panelists include: Mike Hogarth, Mark Mooney, and Tom Covington.
Physicians now have the ability to explore, evaluate and verify care delivery on their own terms in their own timeline.
Payors have a single hub that links all healthcare facility data to better track, predict, and manage healthcare utilization.
Combine large-scale medical data in a flexible platform that links a variety of data sources and data types, from EHR to patient-generated health data.
Compare and evaluate the best treatment options to provide patients with the highest quality care at a reasonable cost.
Below are examples of analysis apps used in healthcare. New apps can be built and deployed in under an hour to provide analysis capabilities unique to your data.
Summary of Patients
Summarizes clinical and financial outcomes of specified patients.
Comparison of Patient Encounters
Find the significant differences between a cohort of background encounters and a cohort of focus encounters.
Find variables statistically over- or under- represented for a hospital relative to its peers.
Find variables statistically over- or under-represented for cases where readmission occurred within 30 days.
Find MS-DRG cost overage relative to standard CMS costs per patient.
Drivers of ALOS Index
Find variables significantly correlated with the average length of stay (ALOS) for particular MS-DRGs.
What to see more examples of analysis apps in healthcare? Get in touch!
We have hundreds of data nodes and analysis apps at your disposal. Let us know what types of questions you have and what areas you want to focus on and we will give you a personalized demo.
“We are using Tag.bio to explore, confirm and evaluate care delivery using a variety of clinical, financial and operations data, including claims data generically.”
– Ralph Gonzales, MD, MSPH,
Associate Dean for Clinical Innovation,
Chief Innovation Officer Internist at UCSF Department of Medicine
Specialized Analytics for Everyone
Empower staff at all levels to confidently make data driven decisions with the use of guided, investigation-driven analysis apps tailored to their area of expertise.
Information and Innovation Officers
Consolidate tools, maximize ROI and keep your organization on the cutting edge by providing your scientists a powerful tool that allows them to be 1000x times more efficient.
Doctors and Domain Experts
Quickly assess opportunities to improve outcomes and reduce costs, from individual patients through entire patient populations.
Data Scientists and Decision Support
Improve operational workflow and maximize the value of organizational data by quickly building easy-to-use analysis apps that empower doctors and domain experts.