Health Data

Portrait of Stephanie Garcia

Accelerating Patient-Centered Outcomes Research through Synthetic Health Data Generation

Stephanie Garcia | September 19, 2022

Real world health data are critical for Patient-Centered Outcomes Research (PCOR). However, it’s often difficult, expensive, and time consuming for researchers to access real-world clinical health data because of privacy concerns, security restrictions, and usage issues. Although PCOR researchers, health information technology developers, and informaticists often depend on anonymized or de-identified clinical health data for testing theories, data models, algorithms, and prototype innovations, re-identification of anonymized data remains a possible security risk. Synthetic health data can provide a no-risk data source to complement research and support testing needs until real clinical health data are available.

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Portrait of Kathryn Marchesini

Minimizing Risks and Maximizing Rewards from Machine Learning

Kathryn Marchesini | September 7, 2022

When talking about artificial intelligence (AI) today, people are usually referring to predictive models—often driven by machine learning (ML) techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making. The power of ML is in its enormous flexibility. You can build a model to predict or recommend just about anything, and we have seen it transform many sectors.

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Portrait of Carmen Smiley

Project US@ – Advancing Health Equity Requires Better Data

Carmen Smiley | August 9, 2022

One of the single greatest social determinants of health is where a patient lives.  It can determine their risk factor for a specific illness or chronic disease, such as asthma, and can also affect much broader measures of well-being and life expectancy. Thus, our ability as healthcare professionals to measure and act on such factors relies heavily on how we accurately capture and manage standardized patient addresses. The standardization of patient address data across healthcare strengthens our ability to measure the social,

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Portrait of Kathryn Marchesini

Getting the Best out of Algorithms in Health Care

Kathryn Marchesini | June 15, 2022

The same basic technology that can predict what movie you might want to watch, what song you might want to listen to, or what item you might want to buy online, can also predict the onset of diseases, forecast costs of care, and recommend treatment options for your doctors, nurses, and pharmacists.

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