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AI in Healthcare and Life Sciences: Further Adoption Requires Better Data Infrastructure

Healthcare IT Today

The data generated by AI can facilitate early disease detection, personalized medications and care, the prevention of diagnostic or prescription interaction errors, analysis of treatment risks, and much more.

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Komodo Health unveils new full-stack tool to help clients streamline data analysis

FierceHealthIT

Komodo Health, a health data company, has announced a new all-in-one offering for healthcare and life sciences companies to generate analytical insights. | MapLab includes robust data science tooling, customizable analytics dashboards and a generative AI analytic assistant.

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CDC contracts health data collective Truveta to study COVID, maternal health and pediatric care

FierceHealthIT

Truveta, the real-world data analysis company backed by dozens of health systems and other life sciences groups, won a multi-million-dollar contract from the Centers for Disease Control and Prevent | The real-world data collective won a multi-million-dollar contract, which will give government researchers access to the deidentified patient records (..)

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Amazon Launches New Service Simplifying Healthcare Data Search and Analysis

Healthcare IT Today

The new service, which is now available in preview, was designed to help healthcare and life sciences organizations aggregate […]. Amazon HealthLake, which AWS describes as “HIPAA-eligible,” was launched during Amazon’s annual re:Invent conference.

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A New FHIR Analytics Tool from SAS Health

Healthcare IT Today

Thus, SAS Health Solutions offers a common data model, ingesting data from disparate sources of FHIR data into the appropriate fields for analysis. Plus, once collected, that data can easily leverage the full suite of SAS analytics tools.

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Partnering Up in the Health Care Ecosystem to Drive Transformation – for Organizations and Health Consumers Alike

Health Populi

What fuels that transformation is data and the insights the right data can generate. And that data will be generated from many sources, frequently siloed and decentralized which can prevent aggregation, mash-up, and analysis.

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Taking Social Determinants of Health (SDoH) From Data to Analysis and Action

Healthcare IT Today

As healthcare organizations continue to invest in SDoH, moving from analysis to impact requires operationalizing this data for coordinated efforts and long-term returns on investment. What are the gaps in your clinical data, and how could social determinants of health data address them?