ASQ Presents!™
A.I in Medical data
Main Speaker: Dr. Betsy Macht
University Professor-Walden University
Dissertation Mentor/Chair
Committee member
Digital applications have broadened the opportunities to provide innovative healthcare in the medical, pharmaceutical, and consumer categories. With continuing advances in digital technologies, researchers and medical device company leaders can innovate and enhance the quality of care available to patients and consumers through the merger of artificial intelligence (AI) and machine learning (ML) applications with medical devices. However, the potential for data bias in AL/ML-enabled medical applications also must be considered.
Data bias in relation to AI, ML, and medical device performance could result in a variety of outcomes. Inadvertent data bias could potentially cause harm.
Bias could also positively target specific groups of patients, potentially increase use and access, and improve diagnostic accuracy. The professional community should engage in transparent discussion and consideration of the potential effects of data bias. The aim of this presentation is to consider the pros and cons of data bias in medical device applications.
https://array.aami.org/content/news/considering-potential-impact-data-bias-ai-ml-and-medical-device-ecosystem
Main Speaker: Dr. Betsy Macht
University Professor-Walden University
Dissertation Mentor/Chair
Committee member
Dr. Macht is a university professor on the faculty of Walden University serving as an instructor, dissertation mentor/chair, and committee member. She is invested in developing quality and STEM leaders of tomorrow teaching undergraduate quality and regulatory affairs, and mentoring Jr/Sr high students in the NYAS STEM program. Dr. Macht is an accomplished industry leader with cross-functional supply chain experience working to transform global GxP manufacturing, optimize processes, and ensure compliance. She has received research awards and holds certifications in six sigma, auditing, quality engineering, and risk management. She holds a Doctorate in Business with a concentration in global supply chain management, is a Certified Six Sigma Greenbelt (CSSGB), an ASQ Certified Quality Auditor (CQA), and certified in J&J Capability Risk Reduction Mapping (CRRM)
Dr. Macht has authored papers on data quality, bias in healthcare, artificial intelligence, process optimization, compliance and culture. She is a contributing author to The Refractive Thinker®2022.
To reach Dr. Betsy Macht for information on refractive thinking, AI/ML, STEM, change management, digital technologies, professional editing, or guest speaking, please email her at: betsym5716@gmail.com or linkedin.com/in/dr-betsy-macht.