The Promise of AI & ML in Healthcare 2020: Opportunities, Challenges & Vendor Landscape - ResearchAndMarkets.com

DUBLIN--()--The "The Promise of AI and ML in Healthcare: Opportunities, Challenges, and Vendor Landscape" report has been added to ResearchAndMarkets.com's offering.

The report, The Promise of AI/ML in Healthcare, is the most comprehensive report published on this rapidly evolving market with nearly 120 vendors discussed. The report explores opportunities, trends, and the rapidly evolving landscape for vendors, tracing the evolution from early artificial intelligence/machine learning (AI/ML) use in medical imaging to today's rich array of vendor solutions in medical imaging, business operations, clinical decision support, research and drug development, patient-facing applications, and more.

The report also reviews types and applications of AI/ML, explores the substantial challenges of health data collection and use, and considers issues of bias in algorithms, ethical and governance considerations, cybersecurity, and broader implications for business.

The market today can be divided into five separate categories based on the need being addressed by AI/ML: Hospital operations, Population health management, Clinical decision support, Research and drug development, and Consumer facing tools. Each of these categories is explored on its own and in the greater context of market forces that are driving innovation and adoption of these tools.

Provider organizations will find this report offers deep insight into current and forthcoming solutions that can help support business operations, population health management, and clinical decision support. Current and prospective vendors of AI/ML solutions and their investors will find this report's overview of the current market valuable in mapping their own product strategy. Researchers and drug developers will benefit from the discussion of current AI/ML applications and future possibilities in precision medicine, clinical trials, drug discovery, and basic research.

Key Topics Covered:

EXECUTIVE SUMMARY

1. KEY TAKEAWAYS

2. WHY AI/ML NOW?

  • Health Data and AI
  • Types of AI/ML
  • First Movers in Healthcare

3. AI IN HEALTHCARE: BURGEONING OPPORTUNITIES, COUNTLESS VENDORS HOSPITAL OPERATIONS

  • Revenue Cycle Management (RCM)
  • Fraud
  • Administration and Supply Chain
  • Patient Safety

4. POPULATION HEALTH MANAGEMENT

  • Risk Stratification
  • Population/Care Management Tools
  • Patient Engagement

5. CLINICAL DECISION SUPPORT (CDS)

  • Clinical Documentation
  • Medical Imaging and Pathology

6. EHR VENDORS' AI SOLUTIONS RESEARCH, DRUG DEVELOPMENT, AND DISCOVERY

  • Precision Medicine

7. PATIENT/CONSUMER-FACING APPLICATIONS

  • Laboratory Testing
  • Substance Abuse and Mental Health
  • Patient Bots and Symptom Checkers
  • Voice Assistants
  • Wearables

8. EVOLUTION OF THE MARKET

  • Current Market Trends and Real-World Adoption
  • Bifurcation in the Market
  • AI in the Cloud

9. CONCLUSIONS AND RECOMMENDATIONS

For more information about this report visit https://www.researchandmarkets.com/r/1cbrk1

Contacts

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Contacts

ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900