HIMSS CPDHTS Certification Exam Syllabus

A. Digital Health Information Systems and Technologies

1. Digital health information systems - administrative (e.g., Enterprise Resource Planning [ERP]), clinical information (e.g., Electronic Medical Record [EMR]), and business intelligence (e.g., dashboards)
2. Digital health information technologies (e.g., Internet of Medical Things [IoMT], app ecosystems, Fast Health Interoperability Resource [FHIR], Natural Language Processing [NLP])

B. Privacy and Security

1. Cybersecurity
2. Cyber-hygiene
3. Techniques for protecting personal information (e.g., communication, applications, databases)
4. Methods and behaviors used by attackers

C. Emerging Technologies

1. Emerging technologies and trends
2. Risk and benefits of emerging technologies
3. Innovative and emerging projects

D. Applied Artificial Intelligence and Machine Learning

1. Application of Artificial Intelligence (AI)
2. Application of Machine Learning (ML)

E. Digital Infrastructure and Interoperability

1. Standards and terminology
2. Cloud-based infrastructure
3. Interoperable systems (e.g., Health Information Exchange [HIE])

F. Digital Maturity Assessment

1. Digital assets
2. Gap analysis between current and future digital state
3. Standards and compliance implementation

A. Population Health

1. Population health standards and stakeholders
2. Impact of Social Determinants of Health (SDOH) on digital health transformation
3. Maturity models

B. Citizen-Driven Informatics

1. Industry applications available on the market (e.g., patient portals, Internet of Things [IoT])
2. Consumer data exchange (e.g., open notes)
3. Shared decision making

C. Virtual Healthcare Delivery Models

1. Telehealth guidelines, policies, and procedures
2. Remote patient monitoring and connected care services (e.g., e-home monitoring, remote e ICU monitoring, healthcare robotics)

D. Patient-Generated Data and Consumer Perception

1. Patient-generated data (e.g., symptom tracker)
2. Patient Reported Experience Measures (PREMs)
3. Other care delivery professionals (e.g., paramedics, social work, care management, PT / OT / SLP)

A. Data Science, Clinical and Business Intelligence, and Analytics

1. Data mining, informatics, and business intelligence (e.g., tools, technologies, market suppliers)
2. Machine learning

B. Clinical Outcomes

1. Patient Reported Outcome Measures (PROMs) (e.g., standard and validated reporting tools, quality performance measures)
2. Clinical quality measures (e.g., process and outcome)

C. Stakeholder Satisfaction

1. Patient satisfaction
2. User Experience (UX) / Usability / User-Centered Design
3. Clinician satisfactio

D. Compliance and Adherence

1. Standards, regulations, policies, and procedures
2. Continuous readiness assessment

E. Economic Assessment

1. Value analysis (e.g., Total Cost of Ownership [TCO])
2. Cost and benefit / efficiency analysis

F. Program Planning and Evaluation

1. Project management processes
2. Monitoring and evaluation techniques

Sustainability

1. Continuous improvement techniques (e.g., Six Sigma, Lean)
2. Capacity and capability planning (e.g., human and technical resources)

A. Operational Management (including Workforce)

1. Service management
2. Change management
3. Supply chain management and logistics

B. Policy, Regulations, Legislation, and Ethics

1. Policy, regulatory, and legislative requirements of the applicable jurisdiction
2. Ethical principles (e.g., patient, medication, and staff safety; confidentiality)
3. Consent management

C. Leadership

1. Transformation initiatives to support strategies
2. Relationship building with stakeholders
3. Conflict management
4. Environmental assessment

D. Strategy

1. Scalable initiatives (e.g., pilot to scalable solution)
2. Strategic planning principles (e.g., goal setting, analysis, strategy formation, strategy implementation, and strategy monitoring)

E. Health Equity and Inclusion

1. Bias in software development (e.g., recognizing and reducing / removing bias in programming or coding)
2. Health equity