AI-Driven Patient Journey Modeling for Enhanced Value-Based Care

Event Time

Originally Aired - Wednesday, March 13 12:00 PM - 1:00 PM Eastern Time (US & Canada)

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Event Location

Location: W110A


Event Information

Type: Other Educational Events

Session ID: EHL3

Title: AI-Driven Patient Journey Modeling for Enhanced Value-Based Care

Description: In healthcare's digital evolution, patient-centric precision medicine and disease prevention are key. Patient journey mapping, although challenging due to diverse medical data, is pivotal. In our project, we unify patient health data into a semantic knowledge graph, employing AI and ML to analyze trajectories. This data-driven approach aids disease prevention, detection, and personalized treatment, providing valuable insights into disease origins and progression. Analysis of patient trajectories are aimed at gauging responsiveness to medical interventions, guiding tailored healthcare strategies. Patient journey mapping envisions enhanced healthcare, ensuring informed patient outreach, superior care quality, and improved patient experiences.

Level: Introductory

Learning Objective #1: Explain the significance of unifying diverse medical data using semantic modeling

Learning Objective #2: Describe the role of AI and ML in analyzing patient trajectories for disease prevention and detection

Learning Objective #3: Utilize AI and ML techniques to analyze patient data, identify short-term health trends, and assess responsiveness to medical interventions, developing tailored healthcare strategies

Learning Objective #4: Assess the effectiveness of AI and ML techniques in patient journey mapping, analyzing their impact on healthcare systems in terms of informed patient outreach, care quality, and other relevant metrics

Learning Objective #5: Assess the potential challenges and limitations of implementing patient-centric precision medicine in diverse healthcare settings


Session is a part of

Wednesday, March 13, 2024 - 12:00 PM
Emerging Healthcare Leaders Poster Sessions: Meet the Authors


Speakers


Continuing Education Credits

  • ACPE – 1 Credit(s)
  • CAHIMS – 1 Credit(s)
  • CME – 1 Credit(s)
  • CNE – 1 Credit(s)
  • CPD UK – 1 Credit(s)
  • CPHIMS – 1 Credit(s)

  • Tracks


    Categories

    Data & Information

    • Artificial Intelligence/Machine Learning

    Audience

    • Early Careerist
    • IT Professional
    • Payer