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Healthcare risk assessment

Digital Health Operations Risk Assessment: Service Continuity, Data and Control Risks

A worked example of how a regional digital health service finds, scores and controls risks to records, clinical handover, supplier reliance, patient safety and financial integrity, with owners and review triggers for each.

Updated November 2026 8 hazards assessed Review every 6 months Highest risk: Critical to Medium
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Executive summary

This assessment shows how a digital health service can find, rate and control the risks that matter most to patient safety, data protection, service continuity and financial integrity. Eight risks were chosen because they are plausible in everyday digital health operations. Data errors from interfaces and migrations, system outages and patient data exposure carry the highest inherent scores, while handover failure, supplier dependency and missed monitoring alerts are also serious. Each risk is scored before controls and again after existing and added controls. Most risks fall to Medium or Low once controls are in place, but patient data exposure and missed monitoring alerts stay at Medium because their impact remains serious. The first actions are a named corrective action owner for each incident, a tested recovery plan, multi factor sign in and a daily alert check. The service is a teaching example, so every score illustrates method, not a real organization.

Focus area
Digital health operations
Setting
Operations of an outpatient provider running electronic health records, online booking, patient messaging and remote monitoring services
Method
Five by five likelihood and impact register with inherent and residual scoring

Scope

This assessment covers the day to day operations of a digital health service, including electronic records, scheduling, patient messaging, remote monitoring feeds, billing and the suppliers that run them. It considers risks to patient safety, data, service continuity, money and trust. It does not provide clinical advice or replace a formal site assessment. Jurisdiction, size, systems and suppliers are assumptions made for teaching.

Context

The service has a service manager, a clinical safety lead, an information governance lead, a digital operations team, a billing team and two external suppliers, one for hosting and one for remote monitoring devices. Clinicians and administrators use shared systems through managed devices. Patients book appointments, receive messages and send readings from home devices. Each hazard is scored before controls to show its natural level, then again after existing controls and proposed additional controls, so students can see how treatment changes the picture.

Objectives, assets and stakeholders

The objective is to deliver safe, timely and private digital care, keep records accurate and available, meet the duties placed on the service, and protect public money and trust. The assets in scope are the electronic health records, scheduling and messaging systems, remote monitoring feeds, billing data, the integrations between them, and the skills and time of the staff who run them. Stakeholders include patients and carers, clinicians, the digital operations team, billing staff, suppliers, funders and the relevant health regulator. Every risk has one owner role. The service manager keeps the register current and reports to the governance board each quarter, and the clinical safety lead signs off any change that could affect patient care.

Risk matrix: before and after controls

Each cell shows hazard numbers placed by likelihood and impact. Compare the two grids to see how controls move each hazard.

Before controls

Inherent risk

Risk before controls: rows are likelihood from almost certain to rare, columns are impact from insignificant to catastrophic. Cells list hazard numbers.
1
Insignificant
2
Minor
3
Moderate
4
Major
5
Catastrophic
5 Almost certain
4 Likely Likelihood 4, impact 3, score 12, high: H07 Likelihood 4, impact 4, score 16, high: H01 H02 Likelihood 4, impact 5, score 20, critical: H05
3 Possible Likelihood 3, impact 3, score 9, medium: H06 Likelihood 3, impact 4, score 12, high: H03 H04 Likelihood 3, impact 5, score 15, high: H08
2 Unlikely
1 Rare

After controls

Residual risk

Risk after controls: rows are likelihood from almost certain to rare, columns are impact from insignificant to catastrophic. Cells list hazard numbers.
1
Insignificant
2
Minor
3
Moderate
4
Major
5
Catastrophic
5 Almost certain
4 Likely
3 Possible
2 Unlikely Likelihood 2, impact 2, score 4, low: H06 H07 Likelihood 2, impact 3, score 6, medium: H01 H03 H04 Likelihood 2, impact 4, score 8, medium: H02 H05 H08
1 Rare
  • Low 1 to 4
  • Medium 5 to 9
  • High 10 to 16
  • Critical 17 to 25

Hazard register

A summary first, then the detail for each hazard.

Summary of hazards with scores before and after controls
No.HazardBeforeAfterOwner
H01 Patient record errors from interface or migration faults 16 High 6 Medium Digital operations lead
H02 Service interruption from system outage 16 High 8 Medium Service manager
H03 Handover failure between digital and clinical teams 12 High 6 Medium Clinical safety lead
H04 Supplier dependency and vendor failure 12 High 6 Medium Procurement lead
H05 Patient data exposure through phishing or misdirected messages 20 Critical 8 Medium Information governance lead
H06 Billing errors and financial leakage 9 Medium 4 Low Finance lead
H07 Unclear ownership and weak corrective action after incidents 12 High 4 Low Service manager
H08 Missed remote monitoring alerts 15 High 8 Medium Clinical safety lead
H01

Patient record errors from interface or migration faults

Technology and data Before 16 After 6

Data is mapped incorrectly between the records system, laboratory feed or scheduling tool, so results, allergies or appointments are attached to the wrong patient or lost during a system change.

Who or what is affected: Patients, clinicians and records staff

Causes

Manual mapping changes, rushed upgrades and feeds that are not tested end to end.

Consequences

Wrong treatment decisions, harm to patients, rework and loss of clinical confidence.

Existing controls

  • Interface feeds are checked for failed messages each day.
  • A clinician checks key results before they are acted on.

Control gaps

Mapping changes are approved by the developer alone and not tested against live data samples.

Additional controls

  • Prevent: Test each interface mapping with a sample of records before any change goes live.
  • Detect: Reconcile counts and identifiers between systems each working day.
Likelihood 4 x impact 4 before; 2 x 3 after Owner: Digital operations lead Target: Within 45 days Early warning: Unmatched records or identifier mismatches in the daily reconciliation report.
H02

Service interruption from system outage

Operational Before 16 After 8

The records or scheduling system becomes unavailable for hours or days, so bookings, clinical notes and patient contact stop or slow sharply across all sites.

Who or what is affected: Patients booking care, clinicians and administrators

Causes

Single hosting site, unplanned maintenance and a network fault at the provider.

Consequences

Cancelled appointments, delayed care, unsafe reliance on paper and reputational harm.

Existing controls

  • Daily backups are kept by the hosting supplier.
  • A paper downtime form is available at each site.

Control gaps

The downtime procedure has not been rehearsed since the system was last changed.

Additional controls

  • Prevent: Agree a hosting service level with resilience and maintenance windows set in writing.
  • Respond: Activate the downtime procedure with a named duty manager and a manual call log.
Likelihood 4 x impact 4 before; 2 x 4 after Owner: Service manager Target: Within 30 days Early warning: Unplanned downtime of the records or scheduling system in a rolling month.
H03

Handover failure between digital and clinical teams

People Before 12 After 6

Tasks, messages or results move between digital support staff and clinicians without a clear owner, so follow up is missed or delayed when staff change shifts or roles.

Who or what is affected: Clinicians, digital support staff and patients

Causes

Staff changes, unclear task ownership and messages sent to shared inboxes.

Consequences

Missed follow up, delayed response to patient messages and avoidable distress.

Existing controls

  • Shift handover notes are written in the records system.
  • Urgent messages are sent to a named clinician.

Control gaps

Handover notes are not checked and tasks sent to shared inboxes go unassigned.

Additional controls

  • Prevent: Use a structured handover template for every task moved between teams.
  • Detect: Audit a random set of handover notes each month and feed back gaps.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Clinical safety lead Target: Within 60 days Early warning: Patient messages waiting longer than the agreed response time with no named owner.
H04

Supplier dependency and vendor failure

Supplier Before 12 After 6

A key hosting or monitoring supplier fails, raises prices sharply or stops trading, leaving the service unable to run or move its data in a reasonable time.

Who or what is affected: Patients, service staff and funders

Causes

Single supplier for hosting and monitoring, weak exit terms and rising supplier prices.

Consequences

Loss of service, data held to ransom, forced change and high cost.

Existing controls

  • Supplier contracts include a service level and reporting duties.
  • Supplier performance is reviewed each quarter.

Control gaps

Exit terms have never been tested and the standby list is out of date.

Additional controls

  • Prevent: Write an exit and data return clause with a tested step in plan for the main supplier.
  • Respond: Hold a standby provider shortlist and a plan to move data within a set period.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Procurement lead Target: Within 90 days Early warning: Supplier service reports missing or below agreed service levels for two months.
H05

Patient data exposure through phishing or misdirected messages

Technology and data Before 20 After 8

Staff are tricked by phishing, reuse weak passwords or send patient details to the wrong address, so identifiable records are read or copied by people who should not see them. Specialist security and privacy review is needed for this regulated area.

Who or what is affected: Patients, staff and partner organizations

Causes

Phishing, reused passwords and email sent to the wrong addresses.

Consequences

Privacy breach, distress to patients, regulator action and loss of trust.

Existing controls

  • Staff accounts require a password and are locked after failed attempts.
  • Messages with patient details are sent only through the secure messaging route.

Control gaps

Mailbox monitoring is not in place and misdirected email checks depend on memory.

Additional controls

  • Prevent: Enable multi factor sign in for all staff and remove shared accounts.
  • Detect: Monitor for unusual logins and mail forwarding rules on staff mailboxes.
  • Respond: Run a breach response plan with a named information governance lead and contact list.
Likelihood 4 x impact 5 before; 2 x 4 after Owner: Information governance lead Target: Within 30 days Early warning: Staff reports of phishing or patient messages sent to unexpected addresses in a month.
H06

Billing errors and financial leakage

Financial Before 9 After 4

Claims are coded incorrectly, manual adjustments are posted without review, or repeat payments are made, so income is lost or overpaid to the service.

Who or what is affected: Funders, patients and billing staff

Causes

Manual adjustments, coding errors and weak checks on repeat billing.

Consequences

Lost income, overpayment recovery, audit findings and funder dispute.

Existing controls

  • Claims are checked against the service record before submission.
  • Billing staff work from a set price list.

Control gaps

Adjustments under the set value are never reviewed after posting.

Additional controls

  • Prevent: Require a second approval for manual billing adjustments above a set value.
  • Detect: Review unmatched claims and write offs each month and record the result.
Likelihood 3 x impact 3 before; 2 x 2 after Owner: Finance lead Target: Within 60 days Early warning: Billing adjustments made without a second approval or with no matching record.
H07

Unclear ownership and weak corrective action after incidents

Operational Before 12 After 4

Incidents are logged but corrective actions have no clear owner, due date or proof of completion, so the same faults recur and learning does not reach other teams.

Who or what is affected: Staff, patients affected by repeat incidents and the governance board

Causes

Actions logged without owners, pressure to move on and no follow up of fixes.

Consequences

Repeat incidents, harm to patients and weak learning across teams.

Existing controls

  • Incidents are logged in a shared tracker.
  • Serious incidents are reported to the governance board.

Control gaps

No one checks whether actions were completed or whether they worked.

Additional controls

  • Prevent: Assign a named owner and due date to every corrective action when it is logged.
  • Detect: Check open corrective actions past due each fortnight and report the total.
  • Recover: Close each action only after a test shows the fix works.
Likelihood 4 x impact 3 before; 2 x 2 after Owner: Service manager Target: Within 30 days Early warning: Corrective actions open past their due date with no named owner.
H08

Missed remote monitoring alerts

Safety Before 15 After 8

Readings from home monitoring devices that show deterioration are not seen or acted on in time because alerts sit in a shared inbox or a device connection fails silently.

Who or what is affected: Patients at home using monitoring devices and the clinicians who review them

Causes

Alerts sent to shared inboxes, device connection faults and gaps out of hours.

Consequences

Delayed treatment, avoidable deterioration and serious harm.

Existing controls

  • Device alerts are sent to a shared clinical inbox.
  • Patients are told how to call the service in an emergency.

Control gaps

There is no daily check and no backup route when the shared inbox is unattended.

Additional controls

  • Prevent: Route critical alerts to a named on call clinician with a backup route.
  • Detect: Run a daily check that all alerts were acknowledged within the agreed time.
  • Respond: Call each patient whose alert is not acknowledged and document the outcome.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: Clinical safety lead Target: Within 30 days Early warning: Remote monitoring alerts not acknowledged within the agreed response time.

Rating method and evaluation

Each risk is rated on two five point scales. Likelihood runs from 1, rare, to 5, almost certain, and impact runs from 1, minor, to 5, severe harm or loss to care or data. Multiplying the two gives a score from 1 to 25, which falls into one of four bands. Low covers scores 1 to 4, Medium covers 5 to 9, High covers 10 to 16 and Critical covers 17 to 25. Inherent risk is the score before any controls are applied. Residual risk is the score after existing and additional controls are in place, and it must never be higher than the inherent score. Where inherent risk is 10 or more, residual must be lower. Impact is judged on patient harm first, then data exposure, service loss, financial loss and reputation, and a risk is never rated down only because it has not yet happened. Anything still High needs senior attention and a dated plan, anything Medium needs routine controls with a named owner, and anything Low is accepted and watched. Clinical staff, operations staff and the information governance lead should challenge each rating, and any rating is reviewed when an indicator reaches its threshold or after a significant incident.

Likelihood, impact and rating bands

Likelihood

  • 5 Almost certain: Expected to happen in most circumstances.
  • 4 Likely: Will probably happen in many circumstances.
  • 3 Possible: Could happen at some time.
  • 2 Unlikely: Not expected, but it could happen.
  • 1 Rare: Only in exceptional circumstances.

Impact

  • 1 Insignificant: No lasting effect. Handled within routine work.
  • 2 Minor: Small effect that is quickly corrected.
  • 3 Moderate: Noticeable effect that needs managed effort to correct.
  • 4 Major: Serious effect on people, delivery or reputation.
  • 5 Catastrophic: Severe or lasting effect that threatens the whole activity.

Bands (likelihood x impact)

  • Low (1 to 4): Accept and monitor.
  • Medium (5 to 9): Manage with routine controls.
  • High (10 to 16): Senior attention and a treatment plan.
  • Critical (17 to 25): Act first. Do not proceed until reduced.

Monitoring, escalation and review

Review this assessment every 6 months, and sooner when an indicator below reaches its threshold.

Early-warning indicators and escalation thresholds
Indicator to watchEscalate when
Open integration errors or unmatched records in the daily reconciliation report.Escalate to the digital operations lead when errors persist beyond one working day, and to the clinical safety lead if any patient record is affected.
Unplanned downtime of the records or scheduling system in a rolling month.Escalate to the service manager at the first outage, and to the governance board if downtime exceeds the agreed service level.
Remote monitoring alerts not acknowledged within the agreed response time.Escalate to the clinical safety lead at once, and review the alert route within one week.
Staff accounts with shared or unused access rights found in a quarterly review.Escalate to the information governance lead when any shared account is found, and remove it within a week.
Billing adjustments made without a second approval or with no matching record.Escalate to the finance lead at once, and to the internal auditor if the same user repeats the pattern.

Contingency arrangements

If a serious event occurs, such as a major outage, a confirmed data exposure or a supplier failure, the service manager declares an incident and the clinical safety lead decides which services move to paper or phone processes. The digital operations team isolates affected systems and restores service from the latest tested backup. The information governance lead assesses any breach and contacts regulators and affected people through the route set by the relevant jurisdiction. Patients with active remote monitoring are contacted to confirm their care plan. Staff and patients are told what they need to know early and in plain language.

Prioritized action plan

  1. Assign a named corrective action owner for every open incident, owner service manager, within 30 days.
  2. Test interface and migration reconciliations on a sample of records, owner digital operations lead, within 45 days.
  3. Test restoring the records system from backup and update the recovery plan, owner IT manager, within 30 days.
  4. Enable multi factor sign in and remove shared accounts, owner information governance lead, within 30 days.
  5. Agree a supplier exit and step in plan with the hosting and monitoring suppliers, owner procurement lead, within 90 days.

Conclusion

Safe digital care depends on a few steady habits: tested interfaces, named corrective action owners, clear handover of tasks, supplier exit plans, tested backups and daily checks on alerts. The highest scores sit with record errors, outages and patient data exposure, and each has actions that bring the residual score down. Treat the register as a living record, review it on the stated cycle, and seek qualified clinical, legal and security advice for any real decision.

Assumptions and limitations

Assumptions

  • Jurisdiction is not specified, so legal and privacy duties are described in general terms only.
  • The hosting supplier holds the main records and provides a service level agreement with an outage notice period.
  • Clinical decisions are made by licensed clinicians, and this assessment does not set clinical thresholds.
  • Remote monitoring devices are supplied by a third party and their alerts pass through a shared integration.

Limitations

  • The scores are examples for learning and do not describe any real service or supplier.
  • Health, privacy and digital rules differ by country and change over time, so specialist review is needed.
  • This is educational content and does not replace a formal site specific assessment or licensed clinical, legal or security advice.

Related frameworks to study

  • Clinical risk management cycle of identify, assess, control and review
  • Three lines model of risk ownership
  • Hierarchy of controls
  • Business impact analysis for service recovery
  • Incident learning review

Healthcare Risk Assessment

China, India, United States, Indonesia, Pakistan, Nigeria, Brazil, Bangladesh, Russia, Japan, Mexico, Philippines, Vietnam, Egypt, Turkey, Germany, United Kingdom, France, Italy, Canada, South Korea, Australia, Spain.

For Learning Reference Only: This assessment demonstrates how risk assessment principles are applied in a practical setting, providing a useful reference for learning and understanding. Actual assessments may be adapted to suit specific site conditions and circumstances.

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