CCI study plan
CCI · Give each week a clear focus.
8 weeks · About 7 hours per week
Clinical Informatics Fundamentals and Health IT Environment & Health Information Systems and Electronic Health Records
Define the scope of clinical informatics as a discipline and distinguish it from adjacent roles such as health IT analyst, CMIO, and informaticist nurse
Map the core components of a health IT environment (EHR, ancillary systems, interface engine, identity management, network and device layer) into a one-page architecture sketch from memory
Explain the difference between an EHR, an EMR, a PHR, and a population health platform using one concrete example for each
Identify the main federal and standards bodies that shape US health IT (ONC, CMS, HITRUST, HL7, NIST) and state what each actually governs
Trace a single patient encounter end to end and label every system that touches the data
Your checkpoint
A one-page annotated architecture diagram of a hospital health IT environment with at least 10 labeled components and a legend explaining each
Health Information Systems and Electronic Health Records & Clinical Informatics Fundamentals and Health IT Environment
Compare EHR deployment models (on-premise, hosted, cloud SaaS) on cost, upgrade cadence, downtime risk, and customization limits
Walk through the EHR build lifecycle: requirements, design, build, test, train, activate, and optimize, and list the artifacts produced at each stage
Explain how order entry, results routing, medication administration, and documentation modules interact within a single EHR
Describe the role of the interface engine and list three common message types it routes
Distinguish clinical documentation from billing documentation and explain why the split creates workflow friction
Your checkpoint
A written comparison table of three EHR deployment models scored across five criteria, with a recommendation paragraph
Clinical Workflow and Process Analysis & Health Information Systems and Electronic Health Records
Perform a current-state workflow analysis of one real clinical process using direct observation or shadowing notes
Build a swimlane diagram of that process that names each role, handoff, and system touchpoint
Identify at least four non-value-added steps and classify each as a delay, a rework loop, or a duplicate data entry
Draft a future-state workflow that removes at least two of those steps and state the expected effect on time or error rate
Explain how usability and cognitive load affect clinician workflow and name two measurable proxies for each
Your checkpoint
A current-state swimlane diagram plus a future-state version with a written gap analysis of at least 400 words
Data Management, Standards, and Interoperability & Clinical Workflow and Process Analysis
Explain the purpose and structure of HL7 v2 messages, including segments, fields, and the ADT trigger event family
Describe FHIR resources, the RESTful interaction model, and how FHIR differs from HL7 v2 in extensibility and granularity
Compare terminology systems (SNOMED CT, LOINC, ICD-10-CM, RxNorm, CPT) and state the correct use case for each
Explain the difference between syntactic and semantic interoperability and give one example of each failure
Describe how a clinical data repository or data warehouse ingests and normalizes data from multiple source systems
Map the data lifecycle from capture through aggregation, reporting, and archival
Your checkpoint
A terminology-to-use-case mapping sheet covering at least five code systems and four interoperability scenarios
Clinical Decision Support and Knowledge Management & Data Management, Standards, and Interoperability
Classify clinical decision support rules by trigger type (order-entry, results-based, time-based, event-based) and give two examples of each
Explain the five rights of CDS and apply them to critique one poorly designed alert
Describe how a rule authoring and knowledge management process works, including versioning, review, and retirement of rules
Identify three causes of alert fatigue and propose a specific mitigation for each
Explain how clinical quality measures are specified and computed from structured data, and why measure logic depends on terminology mapping
Your checkpoint
A CDS rule specification for one alert, including trigger, target population, logic, evidence source, and a retirement criterion
Privacy, Security, and Regulatory Compliance & Quality Improvement and Patient Safety
Explain HIPAA Privacy and Security Rules at the level of covered entity, business associate, minimum necessary, and the Security Rule safeguard categories
Distinguish the HIPAA Security Rule from the HITECH Act breach notification requirements and describe what triggers notification
Describe how role-based access control and audit logging support both security and patient privacy
Explain the information blocking rules and identify the eight exceptions in general terms
Apply a root cause analysis framework to a simulated patient safety event involving a health IT system
Distinguish a sentinel event from a near miss and describe how each feeds a safety learning system
Your checkpoint
A completed RCA worksheet for a simulated medication-ordering safety event, with a contributing-factors list and three system-level recommendations
Quality Improvement and Patient Safety & Leadership, Implementation, and Change Management
Design a PDSA cycle for a small informatics improvement and define the measure, baseline, and target
Select an appropriate quality framework (Lean, Six Sigma, IHI Model for Improvement) for a given problem and justify the choice
Build a stakeholder map for an EHR implementation and classify each stakeholder by influence and interest
Draft a communication plan that names audiences, channels, frequency, and message owner
Anticipate three sources of clinician resistance to a workflow change and script a response to each
Explain how training strategy, super-user networks, and at-the-elbow support affect adoption
Your checkpoint
A one-page implementation and change management plan covering stakeholder map, communication cadence, training approach, and go-live support model
Clinical Informatics Fundamentals and Health IT Environment & Clinical Workflow and Process Analysis & Health Information Systems and Electronic Health Records & Data Management, Standards, and Interoperability & Clinical Decision Support and Knowledge Management & Privacy, Security, and Regulatory Compliance & Quality Improvement and Patient Safety & Leadership, Implementation, and Change Management
Consolidate weak areas by reviewing every missed practice item and writing a corrected rationale for each
Re-derive the highest-yield facts for each domain from memory without notes and check against source material
Complete two timed full-length practice sets and record domain-level accuracy for each
Analyze score patterns to identify the two domains still below target and drill only those
Rehearse explaining three complex concepts aloud in plain language to test true understanding
Your checkpoint
A personal weak-area tracker with domain-level accuracy scores from both practice sets and a written remediation note for every repeated miss
Milestones
Week 2: Can explain, without notes, how a lab result travels from the analyzer to the EHR and name every system and message type in the path
Week 4: Scores at or above 70 percent on a mixed practice set covering Domains 1 through 4, with no single domain below 60 percent
Week 6: Can articulate the HIPAA Security Rule safeguard categories and the information blocking exceptions from memory, and has completed one full RCA
Week 8: Scores at or above 80 percent on two consecutive timed full-length practice sets with no domain below 70 percent