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Healthcare risk assessment

Infectious Disease and Immunology Risk Assessment: Recognition, Infection Control and Medication Safety

A worked example of how a ward and outpatient infection team finds, scores and controls the risks linked to infection, immune response and antimicrobial treatment, from delayed recognition of sepsis to specimen errors and staff exposure.

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 an infection team can find, rate and control the risks that matter most to patient safety, staff health and trust in clinical care. Eight risks were chosen because they are plausible on a ward and in an infection clinic. Delayed recognition of sepsis carries the highest inherent score, because a missed warning can cause serious harm quickly. Infection spread, antimicrobial errors, specimen problems, staff exposure and handover gaps are rated High before controls. Most risks fall to Medium or Low once added controls are in place, and sepsis recognition stays Medium because harm is serious even when the chance is lower. The first actions are a sepsis screening prompt, isolation checks at every transfer and a pharmacy review date on every antimicrobial course. The service is a teaching example, so every score illustrates method, not a real organization or patient group.

Focus area
Infectious disease, immunology and clinical infection care
Setting
Hospital ward and outpatient infection clinic providing assessment, treatment and follow up for people with infections or immune-related conditions
Method
Five by five likelihood and impact risk register with clinical escalation

Scope

This assessment covers adults with suspected or confirmed infections and immune-related conditions on an inpatient ward and in an outpatient infection clinic, from triage and diagnosis to treatment, isolation and discharge. It considers risks to patient safety, staff health, information and service continuity. It does not give clinical guidance for any patient or treatment. Jurisdiction, service size, laboratory arrangements and local policy are assumptions made for teaching and are listed below.

Context

The ward has a medical team, nursing staff, a pharmacist and an infection prevention team. A microbiology laboratory reports results through an electronic system, and the outpatient clinic manages biologic and immunosuppressive therapies with scheduled monitoring. Handover takes place at each shift change, and surge demand can occur during seasonal or outbreak pressure. Each risk is scored before controls to show its natural level, then again after the existing controls and the controls that should be added.

Objectives, assets and stakeholders

The objective is to recognize deterioration early, prevent infection spread, give safe and effective treatment, protect staff, and keep patient information private and accurate. The assets in scope are patients, the ward and clinic environment, medicines and laboratory samples, clinical records, monitoring equipment and the trust of patients and families. Stakeholders include patients and families, nurses, doctors, pharmacists, laboratory staff, the infection prevention team, occupational health, information governance staff and the service leadership. Clear roles matter: every risk has one owner role, and the clinical lead reports the register to the governance meeting each quarter.

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: H06 Likelihood 4, impact 4, score 16, high: H02 Likelihood 4, impact 5, score 20, critical: H01
3 Possible Likelihood 3, impact 3, score 9, medium: H07 Likelihood 3, impact 4, score 12, high: H04 H05 Likelihood 3, impact 5, score 15, high: H03
2 Unlikely Likelihood 2, impact 4, score 8, medium: H08
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 Likelihood 3, impact 2, score 6, medium: H06
2 Unlikely Likelihood 2, impact 2, score 4, low: H07 Likelihood 2, impact 3, score 6, medium: H02 H04 H05 Likelihood 2, impact 4, score 8, medium: H01 H03
1 Rare Likelihood 1, impact 3, score 3, low: H08
  • 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 Delayed recognition of sepsis or clinical deterioration 20 Critical 8 Medium Clinical lead for the ward
H02 Healthcare-associated infection spread through poor hygiene or isolation 16 High 6 Medium Infection prevention lead
H03 Antimicrobial prescribing or administration error 15 High 8 Medium Antimicrobial pharmacist
H04 Laboratory specimen mislabeling or delayed results 12 High 6 Medium Laboratory service manager
H05 Occupational exposure of staff to infectious material 12 High 6 Medium Occupational health lead
H06 Poor handover and staffing gaps during surge demand 12 High 6 Medium Ward nurse manager
H07 Equipment or information system failure affecting results and alerts 9 Medium 4 Low Clinical engineering lead
H08 Consent, privacy and documentation gaps in infection testing 8 Medium 3 Low Information governance lead
H01

Delayed recognition of sepsis or clinical deterioration

Safety Before 20 After 8

Early warning signs of sepsis or a worsening infection are missed or scored late, so escalation and treatment start after the window in which harm can be prevented.

Who or what is affected: Patients, bedside nurses and the medical team

Causes

High workload, subtle early signs and scores that are recorded but not acted on.

Consequences

Organ dysfunction, longer stay, intensive care transfer or death.

Existing controls

  • Observations are recorded with an early warning score at set intervals.
  • Staff are trained to escalate a high score to the senior clinician.

Control gaps

Scores are not always repeated when a patient is unwell, and escalation depends on individual judgement.

Additional controls

  • Prevent: Add a sepsis screening prompt to every triage and admission assessment record.
  • Detect: Review trends in observation charts at each shift and flag patients who are not improving.
Likelihood 4 x impact 5 before; 2 x 4 after Owner: Clinical lead for the ward Target: Within 30 days Early warning: Early warning score rising across two observations with no documented review.
H02

Healthcare-associated infection spread through poor hygiene or isolation

Safety Before 16 After 6

Hand hygiene is missed, isolation precautions are not applied or equipment is shared between patients, so a pathogen moves from one patient to another or to staff and visitors.

Who or what is affected: Patients, visitors and staff

Causes

Time pressure, unclear isolation status and equipment moved between rooms without cleaning.

Consequences

Outbreak on the ward, transmission to staff, delayed discharge and harm to vulnerable patients.

Existing controls

  • Alcohol hand rub is placed at every bed space.
  • Isolation signs are placed on the doors of patients with known infections.

Control gaps

Isolation status is not always updated after test results return, and audits are sampled.

Additional controls

  • Prevent: Apply a single check of isolation status at every transfer and admission.
  • Detect: Audit hand hygiene and equipment cleaning each week and share results on the ward.
Likelihood 4 x impact 4 before; 2 x 3 after Owner: Infection prevention lead Target: Within 30 days Early warning: Two or more new infections with a shared ward location within a short period.
H03

Antimicrobial prescribing or administration error

Safety Before 15 After 8

An antibiotic or antiviral is given at the wrong dose, duration or interval, or to a patient with a known allergy or renal impairment, causing harm or resistance.

Who or what is affected: Patients, prescribers and ward pharmacists

Causes

Complex regimens, handwritten or unclear orders and changing kidney function.

Consequences

Toxicity, treatment failure, drug resistance and serious harm to the patient.

Existing controls

  • Prescriptions are checked by a pharmacist before the first dose.
  • Allergies are recorded on the electronic patient record.

Control gaps

Review dates are not always entered, and renal dosing is not rechecked after a change.

Additional controls

  • Prevent: Require a stop or review date on every antimicrobial course at prescribing.
  • Detect: Run a daily pharmacy check of doses against kidney function and allergy records.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: Antimicrobial pharmacist Target: Within 45 days Early warning: Antimicrobial course without a documented review date beyond 72 hours.
H04

Laboratory specimen mislabeling or delayed results

Operational Before 12 After 6

A specimen is labeled with the wrong identifier, transported late or left unprocessed, so results are missing, wrong or arrive after a treatment decision was made.

Who or what is affected: Patients, laboratory staff and treating clinicians

Causes

Manual labeling, busy collection rounds and long transport routes.

Consequences

Wrong treatment, repeated tests, delayed diagnosis and patient distress.

Existing controls

  • Specimens are labeled at the bedside with two identifiers.
  • The laboratory tracks receipt and processing times for each sample.

Control gaps

Phoned alerts for delayed urgent cultures are not logged consistently.

Additional controls

  • Prevent: Use barcode labels printed at the point of collection for every sample.
  • Respond: Set a rule that urgent cultures are phoned to the team when results are delayed.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Laboratory service manager Target: Within 30 days Early warning: Urgent culture not reported within the agreed time after collection.
H05

Occupational exposure of staff to infectious material

People Before 12 After 6

Staff are exposed to blood, body fluids or airborne pathogens through needlestick injury, splashes or unprotected contact with an isolated patient, leading to infection or sickness.

Who or what is affected: Ward and clinic staff

Causes

Fast procedures, worn protective equipment and staff working without refresher training.

Consequences

Staff infection, sickness absence, staff loss and the need for long follow up.

Existing controls

  • Protective equipment is stocked at each isolation room.
  • Sharps bins are placed at every treatment point.

Control gaps

Post-exposure reporting is inconsistent, and some staff are unsure of the route.

Additional controls

  • Prevent: Use safety devices for sharps and train staff in safe disposal at induction.
  • Respond: Provide a clear post-exposure route with immediate clinical assessment and reporting.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Occupational health lead Target: Within 30 days Early warning: Two or more sharps or splash reports from one area within a month.
H06

Poor handover and staffing gaps during surge demand

People Before 12 After 6

Handover misses key details such as allergies, isolation status or pending results, and staff without the right competence cover a surge in patients, so care is inconsistent.

Who or what is affected: Patients, nurses and junior doctors

Causes

Short staffing, rushed handovers and reliance on verbal rather than written information.

Consequences

Missed doses, wrong isolation, delayed escalation and staff stress.

Existing controls

  • A structured handover tool is used at every shift change.
  • Agency staff receive a ward induction before their first shift.

Control gaps

Handover checklists are not audited and surge cover is arranged on the day.

Additional controls

  • Prevent: Include isolation, allergy and pending results as fixed items in every handover.
  • Recover: Review the staffing mix after each surge period and record lessons learned.
Likelihood 4 x impact 3 before; 3 x 2 after Owner: Ward nurse manager Target: Within 60 days Early warning: Handover checklist incomplete on more than one shift in a week.
H07

Equipment or information system failure affecting results and alerts

Technology and data Before 9 After 4

A monitor, analyser or the electronic record fails or loses a result, so alerts do not reach staff and decisions are made on incomplete information.

Who or what is affected: Patients, clinicians and the laboratory

Causes

Ageing equipment, software updates and network interruption.

Consequences

Missed alerts, delayed treatment and loss of clinical information.

Existing controls

  • Bedside monitors are checked at each shift start.
  • The record system is backed up each night.

Control gaps

Alert testing is not logged, and downtime drills are rare.

Additional controls

  • Detect: Test alert paths for monitors and the record system at set intervals.
  • Recover: Keep a paper downtime procedure and test it with staff twice a year.
Likelihood 3 x impact 3 before; 2 x 2 after Owner: Clinical engineering lead Target: Within 60 days Early warning: Alert test failure or a system outage lasting longer than the agreed limit.
H08

Consent, privacy and documentation gaps in infection testing

Legal and compliance Before 8 After 3

Testing for infection is done without clear consent or information, or results and notifications are recorded or shared without proper privacy controls, so patients lose trust and the service breaches its duties.

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

Causes

Hurried consent, shared logins and notification rules that are unclear to staff.

Consequences

Breach of patient rights, complaint, regulatory review and loss of trust.

Existing controls

  • Consent is recorded in the patient record before a test.
  • Access to records requires a personal login.

Control gaps

Access audits are not run, and consent is sometimes recorded after the test.

Additional controls

  • Prevent: Add a short consent prompt for infection tests with plain language information.
  • Detect: Audit a sample of records each quarter for missing consent and inappropriate access.
Likelihood 2 x impact 4 before; 1 x 3 after Owner: Information governance lead Target: Within 90 days Early warning: Test recorded with no consent entry or access by a user outside the care team.

Rating method and evaluation

Each risk is rated on two five-point scales. Likelihood runs from Rare to Almost certain, and impact runs from Insignificant to Catastrophic. Multiplying the two gives a score from 1 to 25, which falls into one of four bands: Low from 1 to 4, Medium from 5 to 9, High from 10 to 16 and Critical from 17 to 25. The score is a guide for ordering work, not a measurement of clinical risk for any patient. Inherent risk is the score before any controls. Residual risk is the score after existing and added controls. Impact is judged on physical harm, the need for extra treatment, effect on other patients and staff, and harm to trust. A Critical or High risk needs senior clinical attention and a dated plan, a Medium risk needs routine controls with a named owner, and a Low risk is accepted and watched. Clinicians who do the work should challenge every rating, and any score is reviewed when an indicator reaches its threshold. Clinical judgement always takes precedence over a score in an individual patient's care.

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
Early warning score rising across two observations with no documented review.Escalate to the senior clinician on duty at once, and to the clinical lead if no review is recorded within one hour.
Two or more new infections with a shared ward location within a short period.Escalate to the infection prevention lead the same day, and to the service leadership if the cluster continues.
Antimicrobial course without a documented review date beyond 72 hours.Escalate to the antimicrobial pharmacist for review within one working day, and to the prescriber's lead if still open.
Urgent culture not reported within the agreed time after collection.Escalate to the laboratory service manager at once, and to the treating clinician so the decision can be revisited.
Sharps or splash reports from one area, or a system outage longer than the agreed limit.Escalate to the occupational health lead or clinical engineering lead at once, and to the service leadership if the pattern continues.

Contingency arrangements

If a serious event occurs, such as a suspected outbreak, a sepsis death or a medicines incident, the clinical lead activates the escalation route and informs the on-call senior clinician. The infection prevention lead applies isolation and cohorting while the outbreak is assessed. The pharmacist reviews all affected prescriptions, and the laboratory manager confirms results. The information governance lead secures records and advises on notifications. Staff and families are told what they need to know early and plainly, and the event is reported for learning.

Prioritized action plan

  1. Add a sepsis screening prompt to triage and admission records, owner clinical lead for the ward, within 30 days.
  2. Check isolation status at every transfer and audit hand hygiene weekly, owner infection prevention lead, within 30 days.
  3. Require a review date on every antimicrobial course, owner antimicrobial pharmacist, within 45 days.
  4. Use barcode labels at collection and phone delayed urgent cultures, owner laboratory service manager, within 30 days.
  5. Add fixed handover items and review surge cover after each period, owner ward nurse manager, within 60 days.

Conclusion

Safe infection care depends on a few steady habits: early recognition, isolation checks at every transfer, review dates for every antimicrobial course, clear handovers and tested equipment. The highest scores sit with delayed sepsis recognition and infection spread, 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 and regulatory advice for any real patient decision.

Assumptions and limitations

Assumptions

  • Jurisdiction and local clinical policy are not specified, so duties are described in general terms only.
  • The laboratory reports results electronically, and staff hold current clinical competence and training records.
  • Isolation, antimicrobial and escalation policies exist locally and are reviewed by qualified clinicians.

Limitations

  • The scores are examples for learning and do not describe any real service, patient group or outbreak.
  • Clinical practice, infection control and medicines rules vary and change, so specialist clinical review is needed.
  • This is educational content. It does not replace a formal site-specific assessment or licensed clinical advice.

Related frameworks to study

  • Hierarchy of controls
  • Structured escalation tools such as SBAR
  • Three lines model of risk ownership
  • Incident reporting and learning cycle
  • Standard infection prevention precautions

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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