Value Analytics Labs made a remarkable impact at ISPOR Europe 2024, the premier event in Health Economics and Outcomes Research (HEOR). Our team showcased a series of groundbreaking presentations, highlighting our expertise and innovative approaches in leveraging Generative AI to advance HEOR methodologies.
In the first part of this series, we explored the transformative power of generative AI in Health Economics and Outcomes Research (HEOR) and Market Access (MA), highlighting practical applications and demonstrations from our recent workshop at Harvard. Now, let's dive deeper into the advanced AI skills discussed, the challenges identified, and the key takeaways that point toward the future of AI in our field.
The Health Economics and Outcomes Research (HEOR) and Market Access (MA) communities are increasingly under pressure to generate quick insights by assimilating vast amounts of information from multiple data sources, identifying evidence gaps, and developing strategic solutions. Time constraints are a significant challenge in this environment. Generative AI is already revolutionizing industries such as the computer software sector and has immense potential to drastically transform how we work in the HEOR and MA spaces.
At the recent ISPOR annual meeting in Atlanta, one of the most highly attended sessions, "Emerging Landscape of Health Economic Evaluation in the Era of Generative AI," captivated attendees with its forward-thinking discussion on the integration of generative AI in health economics.
Join Value Analytics Labs at ISPOR US from May 5-8, 2024. At ISPOR 2024, attendees will delve into the latest methodologies, data analytics, and evidence-based approaches that drive transformative changes in health and well-being. This year’s meeting is themed HEOR: A Transformative Force for Whole Health
The advent of General Artificial Intelligence (Gen AI) promises a seismic shift in the pharmaceutical industry. With its capability to automate tasks, enhance decision-making, and improve customer experiences, Gen AI stands at the forefront of a technological revolution.
When it comes to health economic modeling, the way we estimate patient survival is crucial for determining the cost-effectiveness of healthcare interventions. Traditionally, this has been done using general population mortality statistics to predict future survival rates. But is this approach still valid in a world where healthcare is rapidly advancing?
An episode on The Geo-Analyzer that Value Analytics Labs developed in collaboration with Seagen is posted on Gynecologic Oncology's website.
In collaboration with Seagen, we developed Cervical Cancer Geo-Analyzer, an open access, web-based, interactive tool to visualize geographical areas in the US where cervical cancer education or healthcare resource needs are high. The tool was launched at the American Society of Clinical Oncology (ASCO) 2022 Annual Meeting.
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