Revolutionizing Value-Based Care with Data-Driven Disease & Treatment Pathways

Revolutionizing Value-Based Care with Data-Driven Disease & Treatment Pathways

Wednesday, March 5, 2025 12:00 PM to 1:00 PM · 1 hr. (US/Pacific)
Venetian | Level 1 | Casanova 501
Workforce ConneXtions
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Note: This poster will be on display at Workforce ConneXtions on Wednesday, March 5, 2025 from 10 am - 4 pm. Meet the author(s) from 12 pm - 1 pm.


The exponential growth of big medical data can revolutionize the field of personalized medicine. In our project, we use real-world data of 17 million patients to model disease trajectories and personalized treatment pathways. By predicting patients' future health states based on their medical history and present complaints, it enables early interventions and helps healthcare providers make informed decisions. Personalized treatment pathways are designed by analyzing digital health profiles, demographics, and comorbidities of patients, ensuring personalized, efficient and effective value-based quality care. It envisions better patient outcomes, utilizing healthcare resources efficiently, and reducing costs through data-driven insights.

Sub-Topic Category
Clinical Informatics
Target Audience
Chief Data OfficerClinical InformaticistPopulation Health Management Professional
Level
Introductory
CEU Type
CAHIMSCPDHTSCPHIMS
Format
60-Minute Case Study
Learning Objective #1
Explain the significance of data-driven modelling of disease trajectories to enable advance care planning
Learning Objective #2
Demonstrate the impact of personalized treatment pathways on improving patient outcomes and minimizing healthcare costs
Learning Objective #3
Analyze the benefits of using real-world evidence to drive healthcare decision making and develop personalized care strategies
Learning Objective #4
Critique and develop algorithms to mine healthcare data, and their usability in other domains
Learning Objective #5
Interpret the disease dynamics and root causes of short-term and long-term diseases including chronic diseases, neoplasms and more
Session #
WFC-18