A Progressive Approach to Superior Healthcare Outcomes

Healthcare EvolutionRoadmap

What is Data Analytics
What is Data Analytics
What is Data Analytics

Data analytics is the process of examining raw data to uncover patterns, trends, and insights required to make informed decisions. Typically our clients are “software enabled” and are generating more information than could ever be organized or crunched with spreadsheets - software, cerebral design, and advanced methods are required. Data analytics work begins with raw information collection and reporting, and in its fully-fledged state is a key shaper of strategic roadmaps across all departments

What is Data Infrastructure
What is Data Infrastructure
What is Data Infrastructure

Data infrastructure is the tools and systems that allow organizations to collect, store, manage, process, access, and serve data. Plug-and-play data infrastructure vendors have multiplied in recent years, but specialist engineers are still required for more advanced/custom requirements, complex vendor implementation, and bridging gaps with SWE.

What is AI
What is AI
What is AI

AI (Artificial Intelligence) is a technology that enables machines to mimic human intelligence, allowing them to perform tasks like understanding language, recognizing images, or making decisions. Machine Learning is an older but more mature subset of AI - when its capabilities are sufficient for a problem, ML is more straightforward, definite, quick to develop, and supported by tools/vendors/automations.

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Practical AI

Aggressively Mitigate Risk

Data teams should be a strong partner in managing large medical risks, representing Clinical to Product/SWE and building risk measurement reporting and alerting by any means necessary. Advanced methods (ex: language processing) may be justified from early on.

Quality Care at Scale

Make sure that all clinical procedures are being followed, that patient cases are properly managed across handoffs, and that health outcomes meet expectations.

Delight patients, providers, and admins

Use machine intelligence to lower barriers both to requesting help and to giving it.

Excel

By chipping away at critical opportunities, achieve a superior healthcare experience to what’s generally available.
Case Study:
Incline3
Dandy Data went from 0->35 in 1.5 years, though most client teams follow a more modulated trajectory...
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Case Study:
Incline2
Flatiron has a number of partnership models, including fully embedding our teams into a company or seeding the company’s data team...
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Case Study:
Incline
We’ve built industry-leading functions from scratch at top-tier unicorns (Ro, Dandy) in record time...
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