Healthcare Information Systems Management Training Course

Participants can document care workflows and convert observed needs into testable system requirements.

• Swimlane process maps for patient, clinician, laboratory and billing activities
• Current-state observation techniques for identifying delays, rework and workarounds
• User stories structured around clinical roles, tasks and acceptance criteria
• MoSCoW prioritisation for safety-critical, regulatory and operational requirements
• Requirements traceability matrix linking needs, configuration, testing and approval
• Exception paths for allergies, duplicate records, referrals and urgent results

Participants can assess application architecture and identify critical system dependencies.

• Layered architecture across presentation, application, integration, data and infrastructure services
• Application dependency maps for identity, orders, results, billing and reporting
• Centralised, best-of-breed and cloud-hosted healthcare application architecture choices
• Master patient index role in matching records across multiple systems
• Architecture review criteria for availability, scalability, maintainability and safety
• Technical debt register covering obsolete interfaces, unsupported versions and customisations

Participants can establish accountability and controls for healthcare data quality.

• Data governance charter defining owners, stewards, custodians and decision rights
• Critical data elements for demographics, allergies, diagnoses, orders and results
• Data quality dimensions: completeness, accuracy, timeliness, consistency and validity
• Root-cause analysis for duplicate patients, missing fields and coding errors
• Data quality scorecards with thresholds, exceptions, owners and correction dates
• Metadata catalogue entries for source systems, definitions, formats and retention

Participants can define safe, usable data exchanges between healthcare systems.

• HL7 FHIR resources for patients, encounters, observations, medications and appointments
• DICOM workflows for imaging orders, studies, reports and image retrieval
• Terminology mapping using ICD-10, SNOMED CT, LOINC and local codes
• Interface control documents covering message fields, triggers and acknowledgements
• API governance for authentication, versioning, error handling and rate limits
• Interoperability test cases for identity matching, orders, results and exceptions

Participants can manage EHR configuration choices without compromising clinical safety.

• EHR configuration governance separating standard settings from controlled customisation
• Clinical templates designed for structured capture, narrative notes and required fields
• Order sets reviewed for evidence, approvals, version control and expiry
• Medication lists reconciled across admission, transfer, discharge and outpatient visits
• Clinical decision support alerts tuned against relevance, overrides and alert fatigue
• Release management procedures for EHR changes, testing, approval and rollback

Participants can improve patient identity controls and administrative data reliability.

• Patient registration standards for identifiers, demographics, contacts and consent status
• Enterprise master patient index matching rules and duplicate resolution workflows
• Appointment, admission, transfer and discharge events across connected applications
• Identity proofing controls for patient portals, proxies and remote registration
• Merge and unmerge procedures preserving audit trails and clinical record integrity
• Front-desk data quality checks for missing, conflicting and expired information

Participants can manage dependencies between diagnostic systems and the clinical record.

• Laboratory information system workflows from order collection through verified result
• Radiology information system scheduling, reporting and modality worklist integration
• PACS storage lifecycle, image availability, retrieval performance and retention
• Pharmacy system controls for formulary, dispensing, inventory and medication administration
• Specimen and imaging exceptions managed through escalation and reconciliation queues
• Result acknowledgement processes supporting follow-up, accountability and clinical safety

Participants can connect clinical documentation quality with charging and claims processes.

• Charge capture controls linking services, supplies, procedures and clinical documentation
• Coding workflows for diagnoses, procedures, approvals and claim submission
• Claims edit rules for eligibility, authorisation, duplicate billing and missing data
• Denial analysis using reason codes, ageing reports and corrective actions
• Revenue cycle interfaces between clinical systems, finance applications and payers
• Audit trails supporting billing disputes, fraud investigation and reimbursement review

Participants can apply privacy, consent and retention controls to health information.

• Privacy impact assessment scope, data flows, risks, controls and sign-off
• Consent models for treatment, information sharing, research and patient portals
• Role-based access control aligned with job duties and minimum necessary access
• Break-glass access procedures with justification, alerts and retrospective review
• Records retention schedules covering clinical, financial, imaging and audit records
• Information release workflow for patients, insurers, courts and authorised representatives

Participants can identify and treat cybersecurity risks affecting patient care and health data.

• Asset inventory covering clinical applications, medical devices, servers and interfaces
• Threat modelling for ransomware, phishing, insider misuse and third-party compromise
• Risk register scoring likelihood, patient impact, data exposure and recovery priority
• ISO 27001 control selection for access, logging, backups and supplier security
• Security incident triage separating clinical safety, privacy and operational impacts
• Vulnerability remediation plans using severity, exposure, ownership and due dates

Participants can plan service continuity for critical healthcare systems and infrastructure.

• Availability targets defined by clinical criticality, service hours and recovery needs
• Network segmentation separating medical devices, guest access and administrative traffic
• Capacity planning for concurrent users, storage growth, imaging and backup windows
• Downtime procedures covering paper records, order entry and result reconciliation
• Recovery time and recovery point objectives for priority healthcare applications
• Disaster recovery tests documenting failover results, gaps and corrective actions

Participants can plan controlled implementation of a healthcare information system change.

• Project charter defining clinical objectives, scope, governance and success measures
• Work breakdown structure for configuration, migration, integration, testing and training
• Implementation roadmap with milestones, dependencies, approvals and readiness gates
• RAID log for risks, assumptions, issues, dependencies and assigned owners
• Data migration plan covering extraction, cleansing, validation and reconciliation
• Go-live criteria covering workflows, interfaces, training, support and clinical safety

Participants can evaluate suppliers and manage contractual obligations for healthcare systems.

• Request for proposal requirements covering workflows, interfaces, security and reporting
• Weighted evaluation matrix scoring functionality, cost, support and implementation capability
• Demonstration scripts based on priority clinical scenarios and exception handling
• Contract clauses for uptime, data ownership, exit support and breach notification
• Supplier governance meetings using action logs, milestones, risks and service reports
• Total cost of ownership covering licences, integration, support, upgrades and training

Participants can define trustworthy reports and dashboards for healthcare decisions.

• KPI definitions for waiting times, occupancy, turnaround, readmissions and cancellations
• Dimensional data models using fact tables, dimensions and conformed identifiers
• Data lineage mapping from source capture through transformation to dashboard outputs
• Dashboard design using targets, trends, exceptions, filters and drill-through views
• Clinical validation of metrics before management reporting and external submission
• Data suppression rules protecting privacy in small population reports

Participants can manage digital services that give patients access to care and information.

• Patient portal functions for appointments, results, messaging, payments and records
• Telehealth workflow design for booking, consent, identity, consultation and follow-up
• Accessibility requirements for language, disability, literacy and device constraints
• Digital inclusion assessment addressing connectivity, support needs and alternative channels
• Portal adoption metrics covering registration, active use, completion and satisfaction
• Patient-generated data governance for wearables, questionnaires and remote monitoring

Participants can operate healthcare IT services using measurable support and change processes.

• Service catalogue entries defining users, functions, availability and support boundaries
• Incident classification by patient safety, urgency, system scope and workaround availability
• Major incident procedure covering command roles, clinical communications and restoration
• Problem management using root-cause analysis, known errors and prevention actions
• Service level agreements for response, resolution, availability and reporting
• Change advisory board decisions based on clinical risk, testing and rollback

Participants can prepare clinical and administrative teams for information system change.

• Stakeholder impact assessment by role, workflow change, risk and support need
• Change readiness assessment covering leadership, capability, communications and local champions
• Training needs analysis for clinicians, administrators, super-users and technical teams
• Role-based training plans with scenarios, competency checks and refresher sessions
• Communication plan covering purpose, milestones, downtime and escalation routes
• Post-go-live adoption measures using usage data, feedback and observation

Participants can monitor controls and prioritise information system improvement actions.

• COBIT 2019 objectives applied to governance, management, risk and performance
• Control testing for access reviews, backups, changes, interfaces and audit logs
• Internal audit evidence packs containing policies, records, reports and approvals
• Maturity assessment across governance, data, security, operations and user adoption
• Corrective action plans with priority, owner, deadline, evidence and closure criteria
• Quarterly review cycle using incidents, metrics, audit findings and user feedback

Participants can build, review and present a complete healthcare information systems management plan for a defined service setting.

• Select a hospital, clinic, insurer or public health service case
• Define system scope, stakeholders, workflows, applications and critical data flows
• Produce governance, interoperability, privacy, cybersecurity and service management controls
• Prioritise implementation initiatives using value, risk, cost and dependency criteria
• Review the plan against clinical safety, feasibility and assurance requirements
• Present recommendations, roadmap, measures, risks and resource assumptions to stakeholders