Session ID: 
93

ML/AI: Driven Digital Outreach Improves Health Outcomes

4:15pm - 5:15pm Tuesday, March 10
Orlando - Orange County Convention Center
W414A

Description

Machine-learning and artificial intelligence-driven algorithms guide successfully targeted and tailored educational and motivational reminder text messages in two distinct patient populations: high-risk Medicaid children with asthma, and Medicaid pregnant women at high-risk for preterm delivery. Across both cohorts, 1500 patients have been enrolled over 2 years. Among children with asthma, outpatient visits have increased by 24%; emergency department visits for asthma have decreased by 24%; and asthma controller medication use has increased by 15% (Intervention vs. matched control group). Among pregnant women, prenatal visit attendance has increased by 24% and preterm birth rates have decreased by 27%, with a noticeable trend towards increasing gestational age at delivery (Intervention vs. matched control group). Program satisfaction and retention rates are high. Text messages targeting high-risk patients, and tailored to patients' risk profile, successfully impact health outcomes and improve care experience.

Learning Objectives

  • Identify the characteristics of a successful text messaging program designed to improve health outcomes
  • Appraise the impact of a data-driven text messaging education program on key health outcomes
  • Describe how predictive analytics can be leveraged to enhance program success and impact, and identify analytical challenges associated with program evaluation

Speaker(s)

Senior Medical Director and Physician Scientist,
Parkland Center For Clinical Innovation (PCCI)

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

Payer
Population Health Management Professional
Quality Professional

Level

Intermediate