Artificial Intelligence and Machine Learning in Telemedicine
Context: Sustainable financing models are critical for telemedicine programs to scale and endure. Policymakers and program managers must understand the cost structures, financing options, and return on investment (ROI) to justify ongoing investments in telemedicine services.
Objectives:
- Equip participants with knowledge about cost components and financing models for telemedicine.
- Explain how to build a business case for telemedicine investment.
- Share global examples of successful financing strategies.
Expected Outcomes By the end of the session, participants will:
- Understand the full cost structure of implementing and operating telemedicine services.
- Explore different financing mechanisms: patient paying for services, public/government funding including public-private partnerships, insurance reimbursement, and donor funding.
- Learn how to estimate and communicate the ROI of telemedicine interventions.
- Understand the risks, limitations, and ethical challenges of using AI in healthcare.
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Natalie Maricich Product Manager, Audere |
Nitin Kumar Solanki Director of Programs, Intelehealth |
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