Healthcare Information Systems Management Training Course

Course overview

Healthcare organisations depend on electronic health records, laboratory, radiology, pharmacy, billing, scheduling and analytics platforms that must work reliably across clinical and administrative teams. Managers of these systems face competing requirements: protecting patient information, maintaining clinical workflow continuity, integrating supplier applications, meeting interoperability obligations and demonstrating value from technology investments. This course addresses the practical management decisions behind healthcare information systems, from service ownership and data governance to implementation controls and performance reporting.

Participants examine how to map a healthcare systems landscape, define system ownership, assess interoperability requirements and govern high-value clinical and operational data. They learn to apply HL7 FHIR concepts to integration planning, use SNOMED CT and DICOM appropriately, structure data-quality controls, manage access and audit requirements, and evaluate supplier performance. The course also covers implementation governance, change control, downtime planning, cybersecurity risk treatment and dashboard design for system availability, adoption, data quality and clinical-service impact.

Instruction combines expert-led models with healthcare scenarios involving EHR integration, diagnostic systems, patient identity matching and reporting failures. Participants work in groups to analyse a fictional hospital's information systems estate, prioritise risks and develop a management response. Each participant leaves with a Healthcare Information Systems Management Pack: a systems portfolio map, interoperability assessment, data-governance matrix, risk register, KPI dashboard specification and 90-day improvement plan that can be adapted for their own organisation.

The programme is suited to experienced healthcare IT, informatics, digital transformation and operational leaders who need to manage systems as connected clinical services rather than isolated technology products.

Course objectives

By the end of this course, participants will be able to:

• Map a healthcare information systems portfolio using capability, ownership, dependency and lifecycle criteria
• Define an interoperability approach using HL7 FHIR resources, interface inventories and data-flow diagrams
• Create a data-governance matrix covering data owners, stewards, quality rules, retention and access decisions
• Assess patient-data risks through threat modelling, role-based access review and audit-trail requirements
• Evaluate supplier and system performance using service-level measures, incident trends and contract obligations
• Develop an implementation governance plan with change control, clinical validation, training and downtime safeguards
• Design a healthcare systems KPI dashboard specification for availability, adoption, data quality and integration failures
• Produce a 90-day information systems improvement roadmap with prioritised actions, accountable owners and measures

Benefits of attending

Target competencies

Who should attend

• Healthcare IT Managers — who oversee clinical and administrative platforms and must balance service reliability, risk and investment
• Chief Medical Information Officers — who align digital systems with safe, workable clinical practice
• Clinical Informatics Managers — who translate clinical data and workflow requirements into system changes
• Health Information Managers — who govern record quality, access, retention and information-use controls
• Digital Transformation Programme Managers — who coordinate healthcare technology implementations across suppliers and departments
• Healthcare Cybersecurity and Data Governance Leads — who need operational controls for sensitive health information

Requirements and prerequisites

Participants should have practical experience with at least one healthcare application such as an EHR, laboratory information system, radiology system, patient administration system or clinical reporting platform. The course assumes familiarity with basic IT service concepts, including incidents, access permissions, interfaces, vendors and change requests, plus a working understanding of healthcare workflows. Participants should be comfortable reading process maps and simple data-flow diagrams. Prior programming, database administration, HL7 message development or cybersecurity certification is not required; technical standards are taught from a management and governance perspective.

Training methodology

The five days use instructor-led briefings, worked healthcare architecture examples and guided workshops rather than software demonstrations in isolation. Participants analyse an EHR-to-laboratory integration scenario, map patient-data flows, review access-control evidence, investigate an incident trend and define management KPIs. Small groups make governance and investment decisions from realistic clinical, technical and supplier perspectives. Daily outputs are progressively assembled into an individual Healthcare Information Systems Management Pack, with the final session used to test priorities and convert them into a 90-day workplace application plan.

Course outline

Day 1: Healthcare systems landscape and service ownership

• Healthcare information systems architecture across clinical, diagnostic and administrative services
• Capability mapping for EHR, PAS, LIS, RIS, pharmacy and revenue-cycle platforms
• System ownership models and accountable service roles
• Application lifecycle assessment using business criticality and technical condition
• Clinical workflow dependency mapping
• Patient identity, master data and record-linkage fundamentals
• Service catalogue design for healthcare digital services

Workshop: Participants create a systems portfolio map for a fictional hospital, identifying owners, critical dependencies, lifecycle risks and service priorities.

Day 2: Interoperability and healthcare data architecture

• HL7 FHIR resource concepts and API-based integration planning
• HL7 v2 message flows and interface-engine management considerations
• DICOM workflows for imaging orders, studies and reports
• SNOMED CT terminology governance and clinical coding consistency
• Data-flow diagrams for patient, encounter, order and result data
• Interface inventory design and integration failure classification
• Patient matching, duplicate records and master patient index controls

Workshop: Participants build an interoperability assessment for an EHR, laboratory and radiology integration, producing a data-flow diagram and interface risk log.

Day 3: Data governance, privacy and cyber controls

• Healthcare data-governance operating models and decision rights
• Data owner, data steward and system custodian responsibilities
• Data-quality dimensions, rules and exception-management workflows
• Role-based access control and least-privilege review methods
• Audit-log requirements for clinical record access and amendment
• Healthcare threat modelling for ransomware, insider misuse and third-party access
• Data retention, archival and disposal control design

Workshop: Participants develop a data-governance matrix and access-control review plan for a sensitive clinical dataset.

Day 4: Implementation, suppliers and operational assurance

• Healthcare system business cases and benefits-realisation measures
• Requirements traceability from clinical needs to configuration and test evidence
• Clinical safety validation and user acceptance testing governance
• Change advisory processes for high-impact clinical system changes
• Downtime, business continuity and recovery planning for EHR outages
• Supplier service-level agreements, escalation paths and performance reviews
• Incident trend analysis and problem-management prioritisation

Workshop: Participants review a troubled clinical-system rollout case and produce an implementation assurance plan with acceptance criteria, escalation controls and downtime actions.

Day 5: Performance management and improvement planning

• Healthcare information systems KPI selection and metric definitions
• Availability, response-time and interface-failure performance measures
• User adoption and workflow-compliance indicators
• Data-quality scorecards and remediation tracking
• Microsoft Power BI dashboard requirements for healthcare system reporting
• Risk register prioritisation using likelihood, impact and control effectiveness
• Ninety-day improvement roadmap design and executive reporting

Workshop: Participants complete and present their Healthcare Information Systems Management Pack, including a KPI dashboard specification, prioritised risk register and 90-day roadmap.

Tools & standards covered

HL7 FHIR, DICOM, SNOMED CT, Microsoft Power BI

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions