Session ID: 
26

Reinventing Clinical Decision Support With Machine Learning

12:00pm - 1:00pm Tuesday, March 10
Orlando - Orange County Convention Center
W230A

Description

Most clinicians still rely on old school artificial intelligence to guide their decisions and have yet to embrace advances in machine learning to sharpen their diagnostic and therapeutic skills. Our presentation will focus on new developments in image analysis, predictive analytics, and neural networking as they apply to medical specialties including cardiology, dermatology, gastroenterology, oncology, endocrinology, and critical care medicine. While today’s clinical decision support systems can help detect drug interactions or compile a differential diagnosis list, machine learning is ushering in a generation of new school digital tools that can do so much more to address challenges in four critical areas of practice: prognosis, diagnosis, treatment, and clinical workflow. This presentation will touch on new AI and machine learning initiatives that are being developed at the Mayo Clinic.

Learning Objectives

  • Identify obstacles that impede the implementation of clinical decision support into medical practice
  • Contrast old school to new school clinical decision support
  • Summarize new developments in machine learning
  • Demonstrate the real world benefits of machine learning as they apply to clinical decision support systems

Speaker(s)

President,
Mayo Clinic Platform
Fomer Editor, InformationWeek Healthcare,
Independent Medical Journalist

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

Nurse or Nurse Practitioner
Physician or Physician’s Assistant
Technologist

Level

Intermediate