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Transforming Healthcare with Data Science
Now more than ever, healthcare providers are facing a number of unique challenges and millions of dollars are lost each year just from patients failing to attend medical appointments. IBM as a leader in Data Science is dedicated to ensuring that healthcare institutes have the ability to forecast for healthcare needs, predict patient no-shows and provide preventative measures for our provider clients.
- Best practices for Machine Learning around Healthcare
- Predicting patients’ potential of missing an appointment
- Advanced analysis providing forecasted community healthcare needs
- Real-World application of Data Science for healthcare
- Leveraging Data Science for Healthcare using “smart” booking
practices for Patient no-shows
- Establishing preventative healthcare programs to better meet needs
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Meet Your Data Science Experts
We had a fantastic time partnering with IBM for this exclusive session highlighting how providers can gather the appropriate data, build forecast models to predict patient no-shows and take action to prevent negative impact on their organization.
Michael L. Gonzales, Ph.D.
Chief Data Scientist,
Dr. G. is an active practitioner in the IT space with over 30 years of industry experience serving in roles of chief architect and senior solutions strategist. He specializes in the formulation of business analytics for competitive advantage in global organizations. Recent engagements include companies in the top global 100.
He has presented and published his research at leading IT international conferences, including: Decision Sciences Institute, Americans Conference on Information Systems, and Hawaii International Conference on Systems Science. His research streams include analytics against extremely large data and success factors for IT-enabled competitive advantage.
Data and Analytics Sales Leader,
Emil “John” Radi is a highly successful enterprise sales leader with over 25 years of experience as both a solutions architect and enterprise sales executive around MDM, Data Governance, Big Data, Data Strategy and Advanced Analytics.
He brings extensive knowledge of the competitive landscape in the Information Management and Analytics space along with expertise in the Cloud Native and Dev Ops practice areas.
Predictive Analytics Technical Specialist and Data Scientist, IBM
David is an experienced data scientist with broad experience working in and serving the insurance and health care industries. During his 30+ year career he’s served in roles on both the IT and business side of the aisle, and worked with organizations in more than 20 countries across the globe.
“I’ve worked on both sides of the glass wall, both sides of the negotiating table and on both sides of the Atlantic and Pacific.”
His expertise includes data science, predictive modeling, software project implementation and technology marketing and sales.