Search Results: AI – Page 6

The future of healthcare with generative AI: Hopes and hesitations

We asked a variety of industry experts how generative AI might reshape healthcare in the next year or two. Read our latest

Generative AI and ChatGPT: Healthcare’s new wave

Experimenting with NLP in healthcare, specifically generative AI tools, has its fair share of risks and rewards. IMO Health’s new white paper

ChatGPT and generative AI in healthcare

AI is altering the healthcare landscape, and LLMs like ChatGPT stand at the forefront of this transformation. This white paper examines the

ChatGPT and Generative AI: Paradigm shift in healthcare and biopharma innovations

Guided by industry experts, learn the impact of large language models (LLMs). Explore ChatGPT's rapid ascent, its role in extracting insights from

Harnessing AI: How NLP and terminologies can shape the future of rare disease care

Rare disease care requires the identification of eligible patients for specialized interventions. However, that task is often time-consuming and laborious, involving the

Ask an expert: AI innovation and quality data in life science

The future of healthcare is intertwined with AI. Dr. Wang shares her insights, experiences, and vision for life science's next frontier.

How to train your LLM: And why semantic interoperability is the key to success

As healthcare aims to extract more value from clinical data, interest is growing in large language models (LLMs). Our latest insight brief

Introducing IMO Precision Sets: A better way to create, organize, and maintain value sets

Join us for an exclusive webinar introducing IMO Precision Sets, an innovative tool that can revolutionize your value set management. In this

Moving beyond data cleansing: How data scientists are reclaiming their time

With insights from data science experts, this brief offers concrete ways for organizations to better support their data science teams, enabling them

Proceed with caution: Why code crosswalks are built to fail

Code crosswalks are everywhere in healthcare, but there’s no safety in numbers. In fact, this practice is full of pitfalls that have

What makes clinical terminology so tough to maintain?

Clinical terminology isn’t inherently sexy, but it is essential. From recruiting a team to investing the time, here’s what it takes to

4 reasons why healthcare startups fail

Tech startups are seemingly everywhere, but healthcare data companies still struggle to succeed in the market. Here are some reasons why.

POINT OF CARE WORKFLOW

DATA QUALITY MANAGEMENT

Search Results: AI – Page 6

POINT OF CARE WORKFLOW

DATA QUALITY MANAGEMENT