Course Includes:
- Price: FREE
- Enrolled: 1042 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
Coupon verified 05:23 PM (updated every 10 min)
Course Folder
What You'll Learn
- Identify and manage key sources of digital health data including electronic health records to improve clinical decision-making
- care delivery & health outcomes,Apply data standards and interoperability frameworks to enable seamless and secure information exchange across digital health systems,Ensure compliance with healthcare management regulations
- including HIPAA
- GDPR
- and HITECH
- to protect sensitive health data in digital health platforms,Implement effective data governance to ensure privacy
- security
- and ethical practices in digital health
- fostering trust and equity in healthcare environments.,Understand how to securely store digital health data on mobile devices
- maintaining security protocols for healthcare compliance and protecting EHR data,Explore how digital health tools improve healthcare management by integrating data diagnostics to enhance care coordination and patient outcomes
Requirements
- This course requires basic computer literacy. While prior knowledge of healthcare systems
- such as Electronic Health Records (EHRs)
- hospital workflows
- or medical terminology
- can be advantageous
- it is not a prerequisite. A strong interest in digital transformation in healthcare is encouraged. No previous experience in coding or engineering is necessary.
Description
The Advanced Digital Health: Data, Privacy & Governance specialization is designed to empower healthcare professionals, IT experts, and administrators with the knowledge and practical skills to navigate the evolving landscape of digital health ecosystems. This comprehensive program provides a deep understanding of how digital health data is created, managed, and secured, preparing participants to lead successful digital transformation initiatives within healthcare organizations.
With a structured, application-oriented approach, the course covers essential areas such as electronic health records (EHRs), health information exchange (HIE), data architectures, and clinical terminologies. Learners will gain hands-on experience in how data standards like HL7, FHIR, SNOMED CT, and LOINC enhance interoperability and facilitate seamless communication between healthcare systems, leading to improved care coordination and patient safety.
The specialization also delves into governance, privacy, and compliance frameworks, including HIPAA, GDPR, and regional health data regulations. Participants will learn best practices for securing sensitive data, managing user access, and fostering ethically responsible data ecosystems that uphold patient trust.
Beyond the technical aspects, the program emphasizes ethical data stewardship, the responsible use of AI/ML in healthcare, and strategies for mitigating bias in digital health applications. Through real-world case studies, collaborative projects, and interactive exercises, learners will explore the latest trends in telehealth, wearable technology, big data analytics, and artificial intelligence in healthcare.
By the end of this specialization, participants will have the expertise to manage, analyze, and govern digital health data effectively, driving operational efficiency, enhancing patient care, and positioning themselves at the forefront of the next generation of digital health innovation.
Who this course is for:
- This course is ideal for a wide range of professionals
- including healthcare professionals (nurses
- physicians
- allied health professionals) seeking to understand digital health data. It’s also perfect for IT and data managers transitioning into healthcare or supporting digital health systems. Public health officials applying ethical data principles in population health management
- digital health entrepreneurs developing apps or platforms in regulated healthcare environments
- and compliance officers or legal teams ensuring privacy
- security
- and interoperability will benefit from this course. Additionally
- clinical researchers
- data analysts working with patient data
- and professionals from the medical device and pharmaceutical sectors handling regulated health data will find this course valuable.
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