Digital Innovations in Health Care
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Pace
Self-paced
Subject
Difficulty
- Intermediate
Credit
Certificate of Completion
Platform
Executive Education from Harvard Medical School
What you'll learn
Define real-world data and real-world evidence in health care and explain their role in digital innovation, clinical decision-making, and regulatory approvals.
Explain the significance of digital health infrastructure in clinical settings, including the use of electronic health records (EHRs) and clinical decision support systems (CDSS).
Identify and analyze ethical, privacy, and regulatory challenges in AI-enabled and consumer-facing digital health tools, with particular attention to algorithmic bias, health equity, and data protection.
Discuss the role of AI and machine learning in both clinical and consumer health applications, including remote monitoring, symptom tracking, and personalized health guidance.
Assess the impact of digital health technologies on health care provider workflows, patient outcomes, and data interoperability within hospital environments.
Course description
In Digital Innovations in Health Care, led by Yuri Quintana, PhD, FACMI, FIAHSI, you will examine how data, digital infrastructure, and AI are reshaping modern health care—from life sciences innovation to bedside care to patient self-management.
You’ll see how RWD and RWE inform comparative effectiveness analysis, regulatory decisions, predictive analytics, and precision medicine, enabling more personalized care. You’ll also examine how digital health infrastructure and AI tools—from EHRs to wearables and mobile apps—affect workflows, outcomes, interoperability, and patient engagement, while raising issues of privacy, security, bias, and equity. Guided by a practical evaluation framework, you will learn to assess digital health solutions, navigate regulatory requirements, and identify strategies to implement scalable, trustworthy, patient-centered innovations.
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