About Predictive Analytics World for Healthcare

June 3-7, 2018 Las Vegas
Venue: Caesars Palace

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.

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