The AMIA Health Informatics Review Course was created with a grounding in the actual work and knowledge base health informatic professionals defined. The Health Informatics Delineation of Practice is proprietary research conducted by AMIA. No other AMIA Health Informatics Certification (AHIC) exam preparatory course has access to this information. Individual lectures within each unit and module comprise the Health Informatics Essentials series of review course content.
The Health Informatics Delineation of Practice
The Health Informatics Delineation of Practice was developed during the 2018 health informatics practice analysis conducted by AMIA and is described in Gadd CG, Steen EB, Caro CM et al. Domains, tasks, and knowledge for health informatics practice: results of a practice analysis. J Am Med Inform Assoc 2020;27(6):845-852. doi:10.1093/jamia/ocaa018.
Module Overview
ARC Units, Modules, and Lectures Based on Domains of Health Informatics Practice
These lectures offer fundamental knowledge and skills that provide health informaticians with a common vocabulary, basic knowledge across all health informatics domains, and understanding of the environment in which they function.
Key Aspects in the Discipline of Health Informatics
Fundamental Informatics Concepts, Models, and Theories
Conceptual Frameworks
Computer Programming Fundamentals and Computational Thinking
Fundamentals of Data, Databases, and Analytics
Knowledge Management and Information Science
Basic Epidemiology and Bio-statistical Methods and Principles
Ethics and Practice in Health Informatics
Implementation Science and Evidence-based Practice
Theories on Implementation, Adoption, and Effective Use of HIS
User-centered Design Principles
Vocabularies, Terminologies and Nomenclatures
Data Taxonomies and Ontologies
Development and Use of Transaction Standards
The Health System, Lecture 1
The Health System, Lecture 2
Key Regulatory, Policy and Economic Frameworks in Healthcare Delivery and Financing
Forces Shaping Healthcare Access, Delivery, and Quality
Unit 2: Enhancing Health Decision-making, Processes, and Outcomes
These lectures focus on how to support and enhance decision-making by clinicians, patients, and public health professionals; analyze existing health processes and identify ways that health data and HIS can enable improved outcomes; evaluate the impact of HIS on practice; pursue discovery and innovation in HIS and informatics practice.
Clinical Decision Support Principles and Practices
User-centered Design Principles
Decision Science
Development and Use of Clinical Decision Support Standards
Common and Emerging Data Used in Individual and Population Health
Risk Stratification and Adjustment
CDSS Legal, Regulatory, and Ethical Issues
Continuous Improvements and Innovation Healthcare Frameworks
Business Analysis
Problem Identification and Systems Analyses within Complex and Dynamic Systems
Quality Improvement Principles and Practices
A LHS Approach to CDS Measure Development and Evaluation
Process Modeling
Workflow Analysis and Re-engineering
Clinical Data and Workflow Processes
Care Coordination Concepts and Tools
Quality Performance, Regulatory, and Public Health Measures – Part I
Quality Performance, Regulatory, and Public Health Measures – Part II
Key Performance Indicators (KPIs)
Clinical and Financial Benchmarking Sources
CMS Standards Initiatives and Informatics
Lectures in this unit review how to plan, develop or acquire, implement, maintain, and evaluate health information systems that are integrated with existing information technology systems across the continuum of care, including clinical, consumer, and public health domains, while addressing security, privacy, and safety considerations.
Introduction to Health Information Technology (HIT)
Cloud-based SaaS vs On-premise Health Information Technology Services
Health Information Systems Components and Department Sub-systems
Information Systems for Public Health and Population Health
Multiple Functions of Health Information Systems
Multiple Roles Supported by Health Information Systems
The Health Information Technology Market – Current State and Emerging Technologies
Health Information Technology Safety Models and Frameworks
System Development Life Cycle
Evaluation and Selection of an Information System
Implementation, Testing and Rollout of Information Systems
Systems Thinking - Principles and Unintended Consequences
System Workarounds and Preventive Measures
The Need for Interoperability
Seven Layers of Interoperability Architecture
Health Data Exchange Standards
Terminology Standards
Health Information Exchanges
Health Information Exchanges, Data Aggregation and Population Health
Causes and Impacts of HIS Downtimes
Preventing and Mitigating HIS Downtimes, and Downtime Recovery Procedures
Ransomware and Other Hacking Concerns
The Digital Front Door
Telehealth During and After the COVID-19 Pandemic
Connecting Medical Devices to HIS
Security, Privacy, and Confidentiality Regulations - HIPAA
Data Security Standards, Threat Identification and Mitigation Strategies
User Types and Roles for Access Control
Health Information Communication Channels
This unit focuses on how to establish and maintain data governance structures, policies, and processes; acquire and manage health-related data to ensure its quality and meaning across settings; -and utilize it for analysis that supports individual and population health and drives innovation.
Current Landscape of Health IT: Legislation Supporting and Promoting Data Sharing
Common Components for Data-sharing Agreements
Data Provenance and Integrity
Data Stewardship
The Data Life Cycle
Data Dictionaries and Metadata Repositories
Extract, Transform, and Load (ETL)
Disparate Data Sources
Data Validation Importance
Relational and Non-relational Database Designs
Data and Information Architecture
Clinical Data Registries and Decision-making
Health Information Exchange (HIE) Data Architectural Models
HIEs, Patient-matching Algorithms and Data Harmonization
Specialized and Emerging Data
Management of Specialized and Emerging Data
Integrating Emerging Data Sources into Business and Clinical Decision-making
Query Tools and Techniques
Descriptive and Inferential Statistics
Computing the Slope and Intercept in Linear Regression
Various Regression Models
Bayesian and Classical Statistical Methods
Claims Data - Analytics and Benchmarks
Introduction to Advanced Analytics Models
Design Considerations for Advanced Analytics Models
Using Natural Language Processing to Analyze Clinical Narrative
Precision Medicine and its Relationship with Informatics
An Introduction to Spatial Data and Analysis
Data Visualization
Lectures in this unit review how to build support and create alignment for informatics best practices and lead health informatics initiatives and innovation through collaboration and stakeholder engagement across organizations and systems.
Key Principles of Leadership
Leadership In Practice
Organizational Culture
Change Management
Institutional Governance of HIS
Consensus, Conflict Management, Negotiation
Building Effective Teams
Stakeholder Engagement
Project Management Fundamentals
Project Management Tools
Group Decision-Making Processes
Environmental Scanning
Strategic Planning
Organizational Innovation
Business Planning and Budgeting
Basic Managerial and Cost Accounting Concepts
Revenue Cycle
Cost Analysis Methods and Techniques
Competency Development and Assessment
Effective Communication
Fostering the Future: Coaching, Mentoring, Championing, Cheerleading
Registration
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