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Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

Snowflake

And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas. These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry. Generative AI applications in HCLS According to a recent KPMG survey , 65% of U.S.

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4 Ways Better Access to Healthcare Data Can Improve Patient Outcomes

Snowflake

From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing.

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New Survey Reveals Healthcare Interoperability Challenges Across the Industry

Snowflake

You hear the word “interoperability” used a lot these days in healthcare. But the word means different things to different people across the healthcare ecosystem. And payers or insurers may want to see all inpatient, outpatient, pharmacy, and enrollment data in one place to help improve and speed up decision making processes.

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Learn How Cloudera Drives Healthcare Data Insights at HIMSS 21

Cloudera

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Structure for unstructured data sources such as clinical & physician notes, photos, etc. Be The Change.

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Natural Language Processing in Healthcare: Using Text Analysis for Medical Documentation and Decision-Making

AltexSoft

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. Microsoft’s move tells a lot about the company’s (and the healthcare industry’s) priorities. Healthcare organizations generate a lot of text data.

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5 Steps to Data Diversity: More Diverse Data Makes for Smarter AI

Snowflake

An end-user-facing data catalog or marketplace can improve discoverability and access. Transform unstructured data to expand available internal data. To ensure that all data is made available, organizations must adopt tools to transform unstructured data into usable formats.