About Predictive Analytics World for Healthcare
June 18-22, 2023 Las Vegas
Venue: Red Rock Casino Resort & Spa
Attend Predictive Analytics World for Healthcare and witness today’s rapidly emerging movement to fortify healthcare with big data’s biggest win: the power to predict. The premier cross-vendor networking event, this conference assembles the industry’s leaders to deliver case studies and expertise, revealing how predictive analytics:
- Improves patient care
- Reduces costs
- Brings greater efficiencies to the healthcare industry
Predictive analytics addresses today’s pressing challenges in healthcare effectiveness and economics by improving operations across the spectrum of healthcare functions:
Personalized medicine. Per-patient prediction and analytically enhanced diagnosis drives individual clinical treatment decisions
Insurance. Predictively guided decisioning combats risk and renders insurance more equitable and profitable
Hospital administration. Analytics detects and recoups loss due to fraud and waste
Healthcare marketing. From medical suppliers to healthcare screening service providers, the performance of industry enterprises hinges on analytically targeted marketing
Drug development. Analytics advances pharmaceutical engineering, testing, and other processes
Much more. Other applications include predicting per-patient disease progression, mortality risk, availability of clinical trial participants, consumer prescription adherence, and more
Who should come? PAW Healthcare provides unique learning and networking opportunities for physicians, medical researchers, administrators, marketers, and analytics professionals from:
- Major medical centers
- Information system companies
- Pharmaceutical organizations
- Medical device manufacturers
- Medical insurance providers
- Dental insurance providers
- Clinical laboratories
For information about PAW-Business events, click here
What is predictive analytics? See the Predictive Analytics Guide
If you’d like our informative event updates, sign up here
For inquiries e-mail or call +1 717 798 3495.