Sensemaking for Life Sciences in the Age of Big Data
The sources of information necessary for healthcare and life sciences professionals to deliver value continue to expand and grow deeper. At the same time, the insights needed grow ever more precise. How will life sciences professionals find the information they need? One of the key challenges is identifying the right healthcare professional or key opinion leader for a given topic, therapeutic area or indication. Ultimately, healthcare is about connections between people, so how do we find the right people? Through the thoughtful application of AI tools in combination with human subject matter experts, we can unlock the hidden knowledge in big data and make the human connections that lead to innovation and improved health and patient outcomes.
Julie Stern is the SVP of Engineering at H1, a start-up focused on creating a healthier future by delivering a platform that connects stakeholders across the healthcare ecosystem. Julie graduated from Carnegie Mellon University with a degree in Mathematics and Computer Science. For the last 16 years, Julie has focused on leveraging the power of NLP and Machine Learning to make Healthcare data actionable. In products ranging from revenue cycle management, patient engagement, predicting health events, improving health outcomes, and applying guideline directed medical therapies, Julie has focused on leveraging the power of health data to improve lives.