Global Certificate in Health Data Analytics: Trends and Technologies
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โข Health Data Analytics Fundamentals: Introduction to health data analytics; types of health data; data sources; data quality and management.
โข Data Analysis Tools and Techniques: Data visualization; statistical analysis; machine learning; data mining; natural language processing.
โข Healthcare Data Standards and Interoperability: Health Level Seven (HL7); Fast Healthcare Interoperability Resources (FHIR); International Classification of Diseases (ICD); Current Procedural Terminology (CPT).
โข Big Data and Cloud Computing in Healthcare: Big data architecture; cloud computing platforms; data security and privacy.
โข Healthcare Analytics Applications: Population health management; clinical decision support; healthcare operations optimization; value-based care; precision medicine.
โข Ethical and Legal Considerations in Health Data Analytics: Data privacy regulations; informed consent; data sharing agreements; bias and discrimination in algorithms.
โข Emerging Trends in Health Data Analytics: Artificial intelligence; blockchain; internet of things (IoT); real-world evidence (RWE).
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