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Learn more about what Machinify does and how healthcare leaders rate Machinify’s products, service, and innovation in this First Look report by KLAS.
Time is wasted correcting data, money is spent resolving preventable disputes, and trust is diminished between payers, providers, and patients.
The PEAK Matrix® assessments deliver the critical insights enterprises need to make informed decisions when selecting top global technology and tech providers.
Because artificial superintelligence is still the stuff of science fiction, LLMs need proper guidance in order to be useful to medical professionals, researchers and others in the healthcare industry.
In this podcast, Tim explores how deeply embedded incentives, inefficiencies, and subjectivity in the current claims adjudication process create opportunities for manipulation and inefficiency.
The last decade has seen AI’s escalating impact on a variety of industries take shape, and perhaps no vertical has been impacted as much as healthcare.
We're building a healthcare intelligence company that delivers unmatched value, transparency, and efficiency to payers across the country.
AI—as it stands today—excels only at certain tasks, like understanding large swaths of data and making judgements based on well-defined rules.
With enterprise technology evolving more rapidly than ever before, and the advent of AI and other new tools, it has been a struggle for organizations to keep up.
It shouldn’t surprise you to read that healthcare costs have been going up and are expected to continue to do so into 2025, burdening all stakeholders.
Technical debt—the idea that IT systems are owed updates because teams “borrowed” against long-term quality in service of short-term workability—is on the rise.
The comprehensive, technology-enabled platform will leverage data and artificial intelligence to reduce healthcare costs for health plan clients.