Digital Nursing Informatics Training Course

Participants can map a nursing process and identify points for digital redesign.

• Swimlane process maps showing nursing, medical, pharmacy and patient actions
• Current-state observation methods for documenting real work and workarounds
• Value-stream mapping applied to admission assessment and care planning
• Identify handoffs, duplication, delays and undocumented clinical decisions
• Future-state workflow principles for safe digital documentation processes
• RACI matrices assigning accountability for redesigned nursing activities

Participants can review electronic nursing documentation for usability, safety and clinical value.

• Structured versus narrative documentation decisions for nursing assessment records
• Minimum data sets for admission, observations, care plans and discharge
• Screen design principles reducing clicks, omissions and duplicate entry
• Template governance preventing uncontrolled local documentation variation
• Usability heuristics applied to electronic nursing documentation screens
• Documenting clinical reasoning without replacing professional nursing judgement

Participants can select appropriate terminology approaches for nursing documentation and reporting.

• SNOMED CT concepts, descriptions and relationships for nursing documentation
• ICNP structure for representing nursing diagnoses, interventions and outcomes
• LOINC codes for observations, assessments and clinical measurement results
• NANDA-I, NIC and NOC terminology roles in care planning
• Data dictionaries defining field purpose, format, source and ownership
• Mapping local nursing terms to standard terminology without meaning loss

Participants can define nursing information exchange requirements across connected care services.

• HL7 FHIR resources supporting observations, care plans and care teams
• Interoperability layers: technical, syntactic, semantic and organisational requirements
• Care transitions requiring accurate nursing information exchange and reconciliation
• FHIR profiles and implementation guides for constrained local data use
• Identify information loss risks between hospital, community and aged care
• Patient-facing data exchange through portals, summaries and remote monitoring

Participants can design nursing decision-support requirements that support rather than distract clinical judgement.

• Clinical decision support types: reminders, order sets, alerts and dashboards
• Five rights framework for delivering decision support at care points
• Alert fatigue causes, measurement methods and mitigation controls
• Escalation rules for deteriorating patients using observations and thresholds
• Governance approval for decision rules, content changes and overrides
• Testing false positives, false negatives and unintended workflow consequences

Participants can build a practical plan to measure and improve nursing data quality.

• Data-quality dimensions: completeness, accuracy, timeliness, consistency and validity
• Data profiling methods for missing observations and implausible values
• Root-cause analysis of documentation defects using five whys
• Audit sampling plans for reviewing nursing record quality
• Run charts tracking completion rates and documentation timeliness trends
• Corrective actions linking data defects to workflow and training causes

Participants can interpret nursing data and define measures for service improvement.

• Nursing-sensitive indicators: falls, pressure injuries, medication errors and staffing
• Outcome, process and balancing measures for digital nursing changes
• Operational definitions preventing inconsistent indicator calculation and interpretation
• Dashboards distinguishing signal from random variation using control charts
• Stratify nursing outcomes by ward, acuity, shift and patient cohort
• Data storytelling for nurse leaders, executives and multidisciplinary teams

Participants can identify information-governance controls required for digital nursing services.

• Confidentiality obligations when accessing, sharing and documenting patient information
• Role-based access controls aligned with nursing duties and care relationships
• Minimum necessary access principles for clinical information handling
• Audit trails for investigating inappropriate access and altered records
• Consent considerations for patient portals, monitoring and information sharing
• Data retention, correction and disclosure requests affecting nursing records

Participants can recognise cyber risks and apply safe digital working controls in nursing practice.

• Phishing indicators in messages requesting urgent clinical information or credentials
• Secure authentication, password management and multifactor authentication procedures
• Ransomware effects on documentation, medication administration and care continuity
• Downtime procedures for electronic records, observations and clinical handover
• Incident reporting routes for lost devices, misdirected data and suspicious access
• Clinical consequences of cyber incidents during high-acuity patient care

Participants can assess how interface design and work conditions affect safe technology use.

• SEIPS model linking people, tasks, technology and care outcomes
• Cognitive load sources in complex electronic nursing documentation tasks
• Human factors review of interruptions during medication administration documentation
• Usability testing with representative users, scenarios and task completion measures
• Accessibility requirements for staff and patients using digital care tools
• Design responses to workarounds without blaming frontline nursing staff

Participants can define safe nursing processes for patient-facing digital care services.

• Patient portal functions for results, messages, appointments and education
• Remote patient monitoring workflows for escalation, review and documentation
• Digital health literacy assessment using teach-back and plain-language principles
• Equity risks from device access, connectivity, language and disability barriers
• Co-design methods involving patients, carers and nursing staff
• Clinical boundaries for asynchronous messaging and response-time expectations

Participants can produce clear nursing requirements for a digital system change.

• User stories describing nursing needs, context and expected clinical value
• Acceptance criteria written using given-when-then test conditions
• MoSCoW prioritisation for competing nursing documentation and workflow requests
• Requirements traceability linking needs, design decisions, testing and outcomes
• Non-functional requirements covering availability, response time and accessibility
• Stakeholder interviews eliciting tacit nursing knowledge and exceptions

Participants can assess clinical safety risks arising from digital nursing system changes.

• Hazard logs recording causes, consequences, controls and risk owners
• Failure mode and effects analysis for electronic medication workflows
• Safety cases presenting evidence that digital processes are acceptably safe
• Risk matrices assessing likelihood, consequence and control effectiveness
• Test scenarios covering abnormal values, missing data and system outages
• Escalation pathways for unresolved safety issues during implementation

Participants can plan a staged implementation that supports nursing adoption and patient safety.

• ADKAR model applied to nursing engagement and behaviour change
• Readiness assessments covering staffing, skills, leadership and local constraints
• Super-user networks supporting peer assistance during system go-live
• Training needs analysis by role, task frequency and clinical risk
• Pilot selection criteria for testing workflows before wider deployment
• Go-live command structures, issue triage and daily decision routines

Participants can design role-based learning and support for digital nursing processes.

• Task-based training objectives aligned with critical nursing system workflows
• Scenario-based assessment of documentation, escalation and recovery actions
• Competency checklists for medication, observations and care-plan documentation
• Performance support tools including quick guides, prompts and knowledge bases
• Floor-walking support plans for early implementation shifts and wards
• Feedback loops converting support issues into training or design changes

Participants can evaluate whether a digital nursing intervention delivered intended clinical and operational benefits.

• Logic models linking digital inputs, activities, outputs and patient outcomes
• Baseline measures established before workflow or technology changes begin
• Benefits registers assigning measure owners, targets and review dates
• Mixed-method evaluation combining usage data, audits and staff feedback
• Plan-do-study-act cycles for post-implementation nursing process improvement
• Post-implementation reviews identifying benefits, harms and further actions

Participants can position nursing informatics work within accountable digital health governance structures.

• Governance structures linking nursing leadership, digital teams and clinical safety
• Clinical design authority responsibilities for approving workflow and content decisions
• Portfolio prioritisation using patient impact, risk, cost and feasibility
• Decision logs documenting rationale, dissent, approvals and outstanding actions
• Vendor governance for change requests, defects and configuration controls
• Nursing informatics career roles, responsibilities and professional development paths

Participants can build, review and present a complete nursing informatics project proposal with measurable implementation controls.

• Define a nursing digital problem using workflow, safety and outcome evidence
• Build current-state and future-state maps for the selected care process
• Specify user requirements, data standards and interoperability dependencies
• Develop clinical safety controls, governance roles and escalation routes
• Create implementation, training, adoption and benefits-realisation plans
• Present project proposals for peer review and stakeholder challenge