Lyric COB offering made possible through strategic partnership with Strout and customized connections built by DatumSure

Artificial Intelligence is no longer the future; it is the present. It’s reshaping landscapes, altering industries, and transforming the way we live and work. With its rapid advancement, AI is causing disruption — for better or worse — in every field imaginable.

Inflection’s recent Pi chatbot upgrade showcases the trend of developing smaller, more cost-effective artificial intelligence (AI) models that make AI more accessible for businesses.

Leading organizations highlight key takeaways from initial implementations of generative AI across the app-dev lifecycle, including benefits, limitations, team impacts, and lessons learned.

Here’s how to navigate the future of healthcare with AI by using strategic principles that align the workforce and more.

Lyric COB offering made possible through strategic partnership with Strout and customized connections built by DatumSure

Artificial intelligence (AI) developers caution that there are limitations to the technology. Healthcare organizations must consider them when seeking the benefits AI offers.

In this episode, Ganesh Padmanabhan chats with Akshay Sharma, Chief AI Officer at Lyric. In this episode, we tackle the topics of AI healthcare solutions and just how the landscape is set to be disrupted by AI.

Every industry has to develop domain-specific models, and health care has the extra burden of protecting personally identifying data. These requirements raise the question of when the general-purpose solutions offered by major tech companies are appropriate, where health care organizations can get large enough data sets to develop models, and how vanilla LLMs—or foundational LLMS—can be enhanced by narrow data sets from a health care provider.

When the federal government released its new final rule to speed up the process of getting approvals from insurers for medical treatments, health care organizations generally offered strong support.

The integration of AI into healthcare workflows presents a tremendous opportunity for transformation –– and for new levels of productivity in a time when administrative functions surrounding claims adjudication, provider reimbursement, and related functions are complicating operations and affecting efficiency.

Is it any surprise that new technologies in health care pop up quickly in the area of reimbursements? Payments are the constant obsession of every manager.

The Healthcare IT Today site has been promoting the use of powerful new capabilities in generative AI for clinical applications, notably the automatic generation of doctors’ notes after a patient visit. But there may be even more valuable uses of generative AI in administrative tasks such as billing, resource management, and contract writing.

When the federal government released its new final rule to streamline the process of getting approvals from insurers for medical treatments, healthcare groups generally offered strong support.

Lyric, a leader in technology-first payment accuracy solutions, today announced that Ravi Umarji has joined as Chief Financial Officer.

There are so many exciting new ideas and technologies being implemented in the field of healthcare. For the most part, these changes can be the very necessary answer to a problem we’ve been facing for a long time. But sometimes, these changes can be concerning.

When the Human Genome Project concluded 21 years ago, it opened the door for genetic testing and a promise for lifesaving screenings and personalized medicine. An innovation that serves as a key foundation for revolutionizing healthcare also presents significant complexities and challenges.

Explore the latest CIOToday cover story with Rajeev Ronanki.

Getting our population healthier, more equitable, and more access is and has been a vision for years now. Care delivery and payments are on the line in 2024. Will the industry step up and create the tools providers need? Can providers stay relevant without embracing technology solutions? Here is what the experts are seeing in the coming year.

As artificial intelligence (AI) becomes increasingly integral to healthcare, the urgency to integrate ethical governance cannot be overstated.