DataFramed #90 How Data Science is Transforming the Healthcare Industry
Jun 6, 2022
Curren Katz, Senior Director for Data Science & Project Management at Johnson & Johnson, brings over a decade of experience in leveraging data science to transform healthcare. She discusses the challenges of handling sensitive patient information and the promise of AI in improving patient care quality. Curren emphasizes the need for collaboration in large organizations and balancing long-term research with short-term wins. She also explores how data science can streamline pharmaceutical R&D, while advocating for fairness to combat algorithmic biases in healthcare.
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Data Science's Evolving Role in Healthcare
- Healthcare is adopting data science at scale, moving beyond experimental projects to drive core business decisions.
- This shift includes expanding data science applications and emphasizing ethical considerations due to the sensitive nature of healthcare data.
Chemotherapy Scheduling Tool
- Curran Katz discusses a tool developed at Highmark Health to schedule chemotherapy patients, addressing long wait times and uneven clinician workloads.
- This tool improved patient experience and operational efficiency, proving data science's value in healthcare operations.
Mitigating AI Risks in Healthcare
- Understand potential harmful outcomes of AI by involving clinicians, users, and patients in the development process.
- Consider the end-to-end system, including how decisions are made and potential biases in data and algorithms.