As healthcare evolves with new care models, economic evaluation methods need adaptation by exploring alternative measures and data sources.
Healthcare Data Analytics
Healthcare data analytics is at the heart of all we do. Staying on top of best practices, alongside innovative and accurate uses of AI and machine learning, are key to reaping the value of data. Through our content, consulting services, and solutions, our team performs, guides, and advises on data science approaches to analysis methodologies across the healthcare organization – clinical, operational, business, and quality improvement. From equity-related stratification strategies to leveraging our RTI Rarity™ Local Social Inequity score for area-level analysis, the foundational value that we provide starts with data analysis expertise.
Integrating patient-generated health data (PGHD) with AI and big data can help refine and personalize diagnostic and therapeutic care. Learn more.
Improvements to health equity and well-being can be achieved when SDoH data is analyzed and used effectively. Learn how to use this data.
Explore healthcare predictive models and algorithmic biases, as well as how we can offer practical frameworks and solutions to promote health equity.
Researchers often intend to inform causal questions but avoid causal words, leading to misunderstandings and potential confusion. See the potential risks and how to remedy this common practice.
Are you experiencing challenges evaluating the economic impact of digital therapeutics? Here's guidance to choose the best data and assessment models that demonstrate value.
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