Published on January 22, 2024, 3:06 pm

EXL: Leveraging Generative AI to Unlock the Power of Healthcare Data

The healthcare industry has long been captivated by the potential of AI models to generate new content, and with the introduction of ChatGPT, that fascination has only grown. While AI’s ability to create images and reimagine voices may awe the average person, the healthcare sector sees immense value in utilizing large language models (LLMs) within their organizations. However, building, training, and evaluating these models is just a small part of leveraging the full potential of generative AI technology.

To understand this better, let’s consider the analogy of an iceberg. The LLMs, algorithms, and structures visible to healthcare payers and providers represent only a fraction of what lies beneath the surface. What remains hidden is significantly larger and more crucial – vast amounts of data on which LLMs must be trained.

Fortunately, the healthcare industry holds a distinct advantage in this regard. Payers and providers have access to an enormous amount of existing data. Surprisingly enough, on average, a hospital produces a staggering 50 petabytes of data annually – more than double the data housed in the entire U.S. Library of Congress. And yet, nearly 80% of this data is unstructured and largely underutilized up until now.

To effectively harness generative AI solutions at scale, healthcare organizations must go beyond what is visible on the surface. Creating a solid data foundation is essential; one that addresses crucial elements such as bringing in relevant data, classifying it appropriately,
and creating data lineage for tracking purposes to tackle any potential issues related to AI hallucinations.

This foundation rests upon three key pillars: data strategy, data governance, and data engineering. A comprehensive data strategy helps define an organization’s vision, goals, and roadmap for managing its data effectively – ultimately driving digital transformation within healthcare entities. Next comes governance – establishing rules,
and processes to ensure data quality and integrity. Finally, data engineering comes into play; the process of collecting the right data in the correct format from multiple sources.

All this meticulous work related to data management lays the groundwork for your generative AI solution to deliver as expected. Furthermore, healthcare organizations must evaluate existing workflows,
identify problems that need solving,
and identify applications that can benefit from generative AI. In any healthcare payer or provider’s journey,
their most valuable assets will be their data and their model – particularly when fully integrated with unstructured data.

The concept of managing generative AI data might sound daunting at first, but there is good news. What once seemed like an underwater mountain of inaccessible unstructured data can now be surfaced with generative AI technology. Organizations can tap into information from a variety of sources such as claims, eligibility forms, provider enrollment data,
utilization management data,
clinical records, and contracts.

At present, generative AI largely caters to the expertise of data scientists and business analysts. However, it won’t be long before these functionalities become mainstream and integral to healthcare delivery. Every aspect of a patient’s journey stands to benefit from this transformative technology – whether it’s finding the right provider or improving hospital administration processes or gaining insights into managing chronic conditions.

Generative AI has the potential to revolutionize how healthcare is delivered, managed,
and reimbursed. EXL, a leading company specializing in data analytics and digital solutions,
is at the forefront of leveraging this power for healthcare organizations. They have developed an advanced AI platform that combines foundational generative AI models with their expertise in data engineering, AI solutions,
and proprietary datasets.

EXL’s platform boasts an AI workbench as well as plug-and-play generative AI accelerators
– all while prioritizing security and compliance requirements.

Fuelled by a team of over 8,000 dedicated healthcare professionals including health-data analytics specialists
and clinical resources,
EXL Health collaborates closely with a wide range of leading healthcare organizations. Their deep knowledge of customer data empowers payers and providers to unlock the data that truly matters, thereby enhancing patient outcomes, optimizing revenue streams,
and maximizing profitability across the entire care continuum.

To witness how generative AI technology can transform health outcomes, watch their short video. For those interested in delving deeper into the potential of generative AI in healthcare and understanding why effective data management is crucial,
EXL’s on-demand webinar is a valuable resource.

If you’re looking to harness the power of generative AI for your healthcare business,
learn more about how EXL can assist you by visiting their website.

Jay Nambiar, the Chief Technology Officer for EXL’s Healthcare business,
brings extensive experience and expertise to the table. Working alongside him is Arun Juyal – Vice President and Global Lead for Digital Transformation efforts within EXL’s Healthcare Division.

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