A Reference Architecture for Digital Health: The Health Catalyst Data Operating System

Table of Contents
Today’s Storyline 0:36
Strategic Options for a Healthcare Digital Platform 7:04
The Healthcare Analytics Adoption Model 10:26
Health Catalyst DOS™ & Product Overview 12:38
Mistakes Made and Lessons Learned 32:13
Q&A 49:07

There are essentially four strategic options to address the enterprise data platform requirements of today’s healthcare systems: (1) build your own, (2) buy from EHR vendors, (3) look to a Silicon Valley high-tech startup, and (4) partner with Health Catalyst or a handful of similar companies.

In this webinar, Health Catalyst’s CTO, Dale Sanders, comments on all four approaches, hoping to help you to assess your organization’s strategy against the options and vendors in each category.

It’s been exactly three years since Health Catalyst embarked on a major investment in its next-generation technology, the Data Operating System (DOS™) and its applications. This webinar is an update on the progress, less about marketing the technology, but rather offering DOS as a reference architecture that can support analytics, AI, text processing, data-first application development, and interoperability, as an all-in-one agile cost-savings architecture.

In addition to the successes, Dale comments on the challenges that Health Catalyst has faced under a very ambitious DOS development plan. In its current state, DOS has made some significant improvements to overcome early mistakes, and is now a very solid enterprise data platform. In the interests of industry-wide learning, Sanders will talk transparently about those mistakes and how those learnings are being applied to the DOS platform, positioning it to evolve gracefully over the next 25 years.

View the webinar to learn how the DOS reference architecture:
– Helps manage the 2,000+ compulsory measures in US healthcare
– Enables applications as varied as a real-time patient safety surveillance system, and an activity-based costing system in one platform
– Can ingest data of any type or velocity from over 300 healthcare source systems and growing
– Bundles tools, applications, and analytics that would cost 3-6x more to build on your own
– Compares to EHR vendors as an option to serve as an enterprise data and analytics platform
– Is a performant, sustainable, and maintainable platform for deploying AI models in the natural flow of the healthcare data pipeline
– Provides curated data content and models while still allowing for the agility of a late binding design option
– Functions as a reference architecture that all healthcare organizations and vendors will ultimately have to build in their pursuit of digital health

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