Top HEOR Trends

A new era for HEOR

As artificial intelligence (AI) continues to revolutionize all aspects of society and commerce, its implications for HEOR will be profound. In addition to organizing and analyzing data, it can also perform literature reviews, write statistical code, develop models, and much more. One hot topic is whether AI should be deployed to make autonomous decisions, or if instead it should only be used as an aid (eg, “second set of eyes”) for human decision making.

The role of AI in HEOR

In HEOR, machine learning algorithms can yield insights for improving healthcare decisions. AI has the ability to enhance the quality, efficiency, and effectiveness of healthcare through methods such as:

• Enhanced data analysis — Processing and analyzing complex datasets, such as RWE, and providing deeper insights from trials and real-world settings, into treatment outcomes and economic impacts.
• Interpreting data from devices — As health technology expands and wearable devices become more common, massive amounts of new data will become available. AI allows a way to make sense of this information that may otherwise overwhelm the system.
• Predictive modeling — Forecasting the long-term outcomes and costs associated with different treatments, to help assess the value and cost-effectiveness of healthcare interventions.
• Personalized medicine — Analyzing patient data to determine which treatments are likely to be most effective for individual patients, supporting personalized plans.
• Efficiency in research — Automating tasks such as data cleaning and integration, increasing the efficiency of research processes. 
• Research advancements — Accelerating medical research and the discovery of new treatments and medical advancements by quickly processing vast amounts of scientific data.