Digital Health and Remote Patient Care Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Health Service Managers, Clinical Service Leads and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-HSM-037

Before you join: Participants should understand how healthcare services are organised and have experience in a clinical, operational, digital, quality or programme role.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Remote patient care programmes can extend clinical capacity, reduce avoidable attendance, support earlier discharge and give patients more control over long-term conditions. They also introduce operational risks: unsuitable patient selection, unclear clinical accountability, missed alerts, weak escalation routes, fragmented records, privacy failures and low adoption. Health systems need services that fit care pathways, workforce capacity, reimbursement rules and the realities of patients’ homes, devices and digital access.

This course develops the practical management skills required to design, govern and improve virtual care and remote monitoring services. Participants examine virtual consultations, hospital-at-home models, remote physiological monitoring, digital triage, patient onboarding, clinical escalation, interoperability, cybersecurity, procurement and performance measurement. They apply service blueprinting, patient journey mapping, risk assessment, workflow design, implementation planning and evaluation methods to a defined remote-care use case.

Teaching combines short instructor briefings with healthcare cases, group analysis, service-design tasks, operating simulations and structured peer review. Cases reflect common provider and payer settings, including diabetes monitoring, post-discharge heart failure support, maternal health follow-up, rural specialist access and home-based acute care. Participants progressively build a remote patient care service dossier containing a target population definition, operating model, workflow maps, risk controls, technology requirements, implementation plan and performance dashboard.

The course suits managers and clinical leaders responsible for introducing, expanding or governing digitally enabled care services. It is particularly relevant where organisations need to move from isolated virtual consultations or device pilots toward a managed service with defined clinical processes, measurable outcomes and accountable ownership.

What you will be able to do

  • Design a remote patient care service model using patient journey mapping and service blueprinting
  • Define patient eligibility, enrolment and discharge criteria for remote monitoring pathways
  • Build clinical workflows for virtual consultations, alert review, escalation and care coordination
  • Assess digital health risks using ISO 14971 hazard identification and control planning
  • Specify interoperability requirements using HL7 FHIR resources, data flows and integration rules
  • Develop governance arrangements covering clinical accountability, privacy, cybersecurity and vendor oversight
  • Construct a performance dashboard using access, quality, safety, experience and cost indicators
  • Present a remote care implementation dossier with operating model, controls and rollout plan

Benefits of attending

For you

  • Produce a credible remote care service proposal for a current workplace priority
  • Lead cross-functional discussions between clinicians, operations teams, IT and suppliers
  • Recognise unsafe alerting, escalation and patient-selection arrangements before launch
  • Translate clinical pathway requirements into technology and interoperability specifications
  • Use service metrics to defend improvement decisions with operational evidence

For your organisation

  • Reduce poorly targeted remote monitoring investment through clearer service-design criteria
  • Improve patient safety through defined alert ownership, escalation routes and audit trails
  • Increase adoption by aligning digital workflows with clinical roles and patient capabilities
  • Strengthen vendor accountability through measurable requirements and governance controls
  • Create consistent evidence for scaling, redesigning or stopping remote care services

Course modules

20 modules over 10 days

Participants can distinguish remote care models and define an appropriate service scope.

  • Remote care service models: synchronous, asynchronous, monitoring, and hospital-at-home pathways
  • Patient journey mapping from referral through discharge and follow-up
  • Care setting selection using acuity, access, and clinical stability criteria
  • Stakeholder map identifies patients, carers, clinicians, payers, and suppliers
  • Demand segmentation by risk, digital access, language, and self-management capacity
  • Service blueprint distinguishes patient contacts, clinical work, technology, and support functions

Participants can select priority populations using clinical need, utilisation and service feasibility.

  • Risk stratification combines clinical severity, utilisation history, and social vulnerability
  • Population cohorts defined by condition, care gap, pathway stage, and geography
  • Avoidable utilisation analysis identifies admissions, emergency visits, and missed follow-up
  • Burden-of-disease estimates inform remote service capacity and workforce requirements
  • Equity review identifies exclusion risks affecting rural, older, and low-income patients
  • Priority matrix compares impact, feasibility, readiness, cost, and implementation risk

Participants can establish safe and equitable patient eligibility, consent and onboarding processes.

  • Eligibility criteria define diagnosis, acuity, exclusion factors, and monitoring suitability
  • Clinical stability thresholds determine appropriate remote-care entry and discharge decisions
  • Informed consent covers care limits, data use, communication, and emergency actions
  • Digital readiness assessment reviews connectivity, device access, literacy, and caregiver support
  • Patient onboarding scripts explain equipment, contacts, routines, and escalation expectations
  • Health literacy checks confirm patient understanding using teach-back communication technique

Participants can design virtual consultation processes that support safe assessment and continuity.

  • Consultation modality selection compares video, telephone, messaging, and asynchronous review
  • Pre-visit planning verifies identity, consent, location, accessibility, and clinical agenda
  • Structured virtual assessment documents observations, limitations, and red-flag symptoms
  • Communication protocols manage interpreters, carers, safeguarding concerns, and difficult conversations
  • Safety-netting instructions specify deterioration signs, response times, and emergency contacts
  • Post-consultation documentation records decisions, prescriptions, referrals, and follow-up actions

Participants can design a remote monitoring pathway with defined measures, schedules and responses.

  • Monitoring pathway links clinical goals, measures, thresholds, and review cadence
  • Device selection considers accuracy, usability, connectivity, maintenance, and replacement arrangements
  • Baseline measurements establish reference values before home monitoring begins
  • Measurement schedules balance clinical need, patient burden, and alert volume
  • Data quality rules identify missing readings, improbable values, and device faults
  • Symptom questionnaires complement physiological readings and patient-reported outcome measures

Participants can configure alert management processes that support timely clinical action.

  • Alert taxonomy separates informational, routine, urgent, and emergency notifications
  • Threshold design uses baseline variation, clinical protocol, and patient-specific factors
  • Triage rules assign alerts to appropriate clinical roles and response windows
  • Alert fatigue analysis identifies duplicate notifications, poor thresholds, and workflow overload
  • Escalation pathways define first response, senior review, emergency transfer, and documentation
  • Closed-loop communication confirms alert receipt, action completion, and patient notification

Participants can define roles, staffing patterns and accountability for remote care delivery.

  • RACI matrix assigns responsibility for enrolment, monitoring, escalation, and discharge
  • Skill-mix planning allocates nursing, medical, pharmacy, technical, and administrative tasks
  • Caseload modelling estimates staffing from enrolment, alert rates, and contact duration
  • Clinical supervision arrangements define delegation limits, advice routes, and accountability
  • Operating hours align service promises, patient risk, and emergency coverage
  • Handover protocols maintain continuity across shifts, teams, settings, and providers

Participants can specify the information architecture needed for a connected remote care service.

  • Information flow maps patient, device, clinician, and administrative data exchanges
  • Master patient index requirements prevent duplicate records and identity mismatches
  • Data provenance records source device, collection time, transmission, and amendments
  • HL7 FHIR resources support exchange of observations, care plans, and encounters
  • Integration requirements identify electronic record, scheduling, messaging, and analytics interfaces
  • Exception handling manages failed transmissions, delayed data, and unmatched patient records

Participants can establish privacy and data governance controls for remote patient services.

  • Data minimisation limits collection to information necessary for defined clinical purposes
  • Consent records distinguish treatment consent, data processing, and optional communications
  • Role-based access control restricts patient information according to job responsibilities
  • Retention schedules define storage periods, archival rules, and secure disposal
  • Data sharing agreements specify permitted uses, responsibilities, and breach notification duties
  • Privacy impact assessment identifies collection, access, disclosure, and re-identification risks

Participants can identify cybersecurity threats and plan continuity controls for remote care systems.

  • NIST Cybersecurity Framework functions organise identify, protect, detect, respond, recover activities
  • Threat modelling identifies phishing, account compromise, ransomware, and device tampering scenarios
  • Multi-factor authentication protects clinician access to remote care applications
  • Network resilience planning addresses outages, bandwidth limits, and fallback communications
  • Incident response playbooks define containment, clinical continuity, investigation, and reporting
  • Supplier security reviews examine access controls, patching, logging, and subcontractors

Participants can assess clinical safety risks and document proportionate control measures.

  • ISO 14971 hazard analysis links foreseeable harms with controls and residual risk
  • Failure mode and effects analysis examines process breakdowns before service launch
  • Hazard log records cause, consequence, control, owner, and review status
  • Clinical safety cases assemble evidence for safe design, operation, and change
  • Safeguarding protocols address abuse concerns, vulnerable adults, and children remotely
  • Adverse event review distinguishes device failures, workflow failures, and clinical judgement

Participants can develop assurance arrangements for quality, safety and clinical accountability.

  • Clinical governance structure assigns oversight across operational, technical, and professional leadership
  • Standard operating procedures define repeatable tasks, exceptions, and documentation requirements
  • Audit criteria test eligibility decisions, response times, records, and patient outcomes
  • Case review meetings examine deterioration, escalation delays, and unexpected utilisation
  • Competency assessment verifies staff readiness for virtual assessment and monitoring duties
  • Change control evaluates clinical, technical, workflow, and training impacts before release

Participants can design patient support that improves access, confidence and sustained participation.

  • Co-design methods capture patient priorities, barriers, preferences, and service expectations
  • Accessibility requirements address sensory, cognitive, language, and motor impairments
  • Assisted digital support provides device setup, coaching, troubleshooting, and follow-up
  • Carer involvement clarifies consent, access rights, responsibilities, and communication boundaries
  • Experience measures capture confidence, burden, usability, trust, and care continuity
  • Non-digital alternatives prevent exclusion when remote care is unsuitable or unavailable

Participants can prepare requirements and governance arrangements for remote care suppliers.

  • Requirements specification defines clinical functions, workflows, integrations, and performance expectations
  • Evaluation criteria score usability, interoperability, security, evidence, and total cost
  • Service-level agreements specify availability, support response, incident reporting, and remedies
  • Vendor due diligence reviews financial viability, references, data handling, and certifications
  • Implementation responsibilities distinguish provider tasks, supplier tasks, dependencies, and acceptance criteria
  • Exit planning protects patient continuity, data portability, device recovery, and records access

Participants can prepare a resource plan and value case for a remote care service.

  • Cost model separates fixed platform costs, devices, staffing, training, and support
  • Activity-based costing estimates remote contacts, alert reviews, and care coordination workload
  • Benefits map connects service activities with clinical, operational, and financial outcomes
  • Scenario analysis tests enrolment rates, staffing assumptions, device losses, and utilisation changes
  • Capacity plan matches expected demand with caseloads, operating hours, and escalation resources
  • Business case assumptions identify evidence sources, uncertainties, owners, and review dates

Participants can plan phased implementation with stakeholder engagement and adoption controls.

  • Implementation roadmap sequences design, configuration, testing, training, pilot, and scale-up
  • Readiness assessment reviews leadership, workforce, technology, workflow, and governance conditions
  • Stakeholder engagement plan identifies influence, concerns, messages, channels, and owners
  • PDSA cycles test process changes using measures, observations, and rapid adjustments
  • Training plan defines role-based learning, competency checks, refreshers, and support
  • Go-live criteria confirm safety controls, staff readiness, technical reliability, and escalation coverage

Participants can create a balanced measurement framework for remote care service performance.

  • Logic model connects inputs, activities, outputs, outcomes, and intended population impact
  • Balanced scorecard tracks access, quality, safety, experience, workforce, and cost measures
  • Process indicators measure enrolment completion, adherence, alert response, and follow-up
  • Outcome indicators assess admissions, emergency attendance, symptom control, and functional status
  • Equity stratification compares access and outcomes by location, age, language, and deprivation
  • RE-AIM framework assesses reach, effectiveness, adoption, implementation, and maintenance

Participants can interpret remote care data and prioritise evidence-based service improvements.

  • Run charts distinguish common-cause variation from meaningful service performance changes
  • Statistical process control identifies shifts, trends, and unstable operational measures
  • Alert volume analysis compares thresholds, patient cohorts, staffing, and response performance
  • Funnel plots compare provider teams while accounting for differences in patient volume
  • Root cause analysis investigates missed escalations, delays, complaints, and adverse events
  • Improvement backlog prioritises changes by safety impact, effort, evidence, and urgency

Participants can assess service maturity and plan responsible expansion across care pathways.

  • Maturity assessment reviews governance, workforce, technology, data, and improvement capability
  • Scaling criteria confirm stable outcomes, operational capacity, equity, and financial viability
  • Standardisation identifies reusable protocols, onboarding materials, measures, and technical components
  • Local adaptation preserves core safety requirements while accommodating pathway differences
  • Sustainability planning addresses funding, workforce retention, device lifecycle, and supplier dependence
  • Portfolio governance compares remote-care initiatives against strategic priorities and capacity constraints

Participants can build, review and present a complete remote patient care service implementation dossier.

  • Target population profile states need, eligibility, exclusions, and expected service demand
  • Service blueprint maps patient contacts, clinical tasks, technology, and support functions
  • Operating model defines roles, caseloads, hours, alert ownership, and escalation routes
  • Risk register documents hazards, controls, residual risks, owners, and assurance evidence
  • Implementation plan sequences readiness actions, pilot milestones, governance reviews, and scale decisions
  • Performance dashboard presents baseline, targets, measures, reporting cadence, and review responsibilities

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Remote patient care service blueprint
  2. Patient eligibility and onboarding checklist
  3. Clinical alert and escalation protocol
  4. Digital health risk register
  5. Remote care implementation roadmap
  6. Balanced service performance dashboard

Who should attend

  • Health Service Managers — responsible for introducing or scaling virtual care pathways
  • Clinical Service Leads — accountable for safe remote assessment and escalation processes
  • Digital Health Programme Managers — coordinating technology, clinical and operational workstreams
  • Nursing and Allied Health Leaders — designing monitoring, education and follow-up services
  • Healthcare IT and Informatics Managers — specifying integration, identity and data requirements
  • Quality, Risk and Governance Managers — reviewing safety controls and service assurance evidence

Skills and tools covered

Remote care designClinical workflow mappingDigital health governanceRemote monitoring operationsInteroperability planningService performance measurement

Tools and standards

HL7 FHIR, ISO 14971, NIST Cybersecurity Framework, RE-AIM framework

How the course runs

Training methodology

The course uses short briefings to introduce methods, standards and operating concepts, followed by healthcare cases and facilitated group work. Participants map patient journeys, test workflow decisions, assess risks, interpret monitoring data and review service options from clinical, operational, technical and patient perspectives. Simulations examine alert overload, missed appointments, clinical deterioration and technology outages. Each module contributes to an individual or team remote-care service dossier, with instructor feedback and peer review used to improve the final implementation proposal.

Requirements and prerequisites

Participants should understand how healthcare services are organised and have experience in a clinical, operational, digital, quality or programme role. Familiarity with patient pathways, basic health information systems and common healthcare performance measures is useful. Participants should be prepared to work with service scenarios involving clinical risk, workflow decisions and patient data. Clinical registration, software development skills, data science expertise and prior telehealth implementation experience are not required. The course explains technical concepts from a service-management perspective rather than training participants to configure systems or diagnose patients.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

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

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants need a working knowledge of healthcare delivery and should understand basic patient pathways. They do not need clinical registration, coding skills, prior telehealth experience or specialist knowledge of medical devices.

Participants should bring a laptop for reviewing templates and developing their service dossier. Bringing a current remote-care challenge, pathway or programme concept will make the application work more relevant.

The course is designed for health service managers, clinical leads, digital health managers, nursing leaders, informatics staff and governance professionals. It is most useful for people responsible for designing, improving or assuring remote care services.

This course focuses on managing a safe, workable healthcare service rather than configuring a particular platform. It covers patient selection, workflows, governance, staffing, risk, procurement, implementation and evaluation alongside the technology requirements.

Participants develop a remote patient care service dossier that can be adapted for a live programme or business case. The templates support discussions with clinical teams, IT, quality functions, finance teams and suppliers.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first week builds the service model, pathways and governance foundations; the second week addresses implementation, evaluation, scaling and the final capstone presentation.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.