Ai + Pharma | A wearables application
Did you take your medicine last night? | A talk about patient compliance
For an ailing patient adherence to therapies is a primary determinant of treatment success. Adherence failure is a serious issue which not only affects the patient but also the health care system. Medication non adherence in patients leads to substantial worsening of disease, death and increased health care costs..
Between not filling prescriptions, stopping a medication without notifying the doctor , intentional or unintentional dosage level changes among other, patients can be their own worst enemies. There is furthermore a real challenge in measuring what portion of the patient population is not adhering; estimates are all over the map. Although even knowing that doesn’t help with the why ; the many varied reasons for non-adherence
In this session Peter Henstock, the Machine Learning and AI Technical Lead at Pfizer’s informatics group, will take you inside an initiative at Pfizer to use AI to uncover what really going on in the patient’s day to day life related to their disease and medication management. They attempt to better measure and understand the root causes of non-adherence.
Talks for Healthcare Track
| Time | Time | Room | Speaker | Title | Track |
|---|---|---|---|---|---|
| 7:00pm | 6:10PM | Auditorium | Peter Henstock | Ai + Pharma | A wearables application | Healthcare |
AI Days Event Series | AI + Healhcare Speakers
Data Scientist at Medic Mobile
Director, Office of Innovation, Chicago Dept. of Public Health
CSO for Raiven Healthcare
Vice President of Business Development, PhysIQ
CEO of rMarkBio
Chief Analytics Officer at Enova International
Healthcare Data Scientist and Engineer
Data Scientist at Blue Cross and Blue Shield
Senior Data Scientist, AbbVie
AI Principal Engineer at Anthem
CTO and Cofounder of PhysIQ
Divisional Vice President, Enterprise Analytics at Blue Cross and Blue Shield
Enterprise Data Science Strategy Lead at Bayer
Project Manager at Blue Health Intelligence
Assoc Professor - Psychiatry and Bioengineering, UIC Medicine
CEO and CTO of Realize
Global Biopharmaceutical & Healthcare Deep Learning Lead at NVIDIA
Chief Data Scientist with Livongo
Co-founder and CEO of EnsoData
Senior Recruiter, Analytics
Former Head of Data Analytics for Walgreens Boots Alliance , Current president of Volansys
CTO and CMO of higi
Assistant Professor of Computer Science at Loyola University Chicago
Sr Director Med. Affairs, Strategy, Operations, & Alliance Management at Takeda Pharmaceuticals
Machine Learning Technical Lead, Pfizer
Global Marketing Head, GE Healthcare’s Analytics & AI
Managing Partner of MIP Corporation
Co-Founder & CTO of TeleHealth Robotics
Senior Healthcare Data Scientist at Blue Health
AI + Healthcare
Healthcare Track Topics
Payer
- Provider Network - reducing costs by optimizing network, matching resources with patient need
- Preventative Care – treatment and medication adherence
- Reimbursement processes – Optimize and automate pricing processes, fraud detection, billing
- Value Based Care - maintain patient health at reduce cost – at-risk models, ACOs, other partnerships
Patient and provider
- Treatment options – Oncology, Cardiology, Nursing care, Mental Health, Pulmonary, Neurology
- Diagnostics – Radiology, medical imaging insights, improvements and early detection
- Patient safety – augmented care through personalized assisted or automated care
- Beyond the “Clinic” case studies – Wearables, Smart Phones, In-home Tech and robotics
Pharma Track
- Drug discovery, Effectiveness
- Gene analytics for targeted care
- Market research and pricing, risk reduction
- FDA regulations and Legal issues associated with AI in healthcare
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