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Healthcare risk assessment

Medical Laboratory Technology and Diagnostics Risk Assessment: Specimen, Analytical and Reporting Controls

A worked example of how a diagnostic laboratory finds, scores and controls the risks that threaten specimen identity, analytical quality, result reporting, staff safety and service continuity, with owners, warning indicators and escalation routes.

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 diagnostic laboratory can find, rate and control the risks that matter most to patients, staff and service continuity. Eight risks were selected because they are plausible in everyday specimen handling, analysis, reporting and staffing. Specimen identification errors and critical result delays are the most serious, since they can reach a patient directly. Analytical quality failure and biological exposure also score high before controls. Each risk is scored before controls and again after existing and added controls. Most risks fall to Medium or Low once the additional controls are in place, while specimen identification and critical result notification remain at High because the impact stays serious. The first actions are two identifier checks with rejection logging, a rule blocking release when quality control fails, a measure of notification times and a tested downtime procedure. The laboratory is a teaching example, so every score illustrates method, not a real organization.

Focus area
Medical laboratory technology and diagnostics
Setting
Hospital or independent diagnostic laboratory processing clinical specimens for wards, clinics and referring practices
Method
Five by five likelihood and impact risk register with residual review

Scope

This assessment covers the work of a clinical diagnostic laboratory, from specimen receipt and preparation through analysis, result validation, reporting and disposal of waste. It looks at risks to patients, staff, equipment, information and continuity of service. It does not give clinical advice, choose treatment or replace laboratory accreditation. Assumptions: the country, care setting, accreditation regime and laboratory information system are not specified, so general practice is described and specialist review is needed for any real site.

Context

The laboratory receives samples from wards, clinics and outside referrers. It runs chemistry, hematology, microbiology and molecular tests on automated analysers, with a laboratory information system that holds orders, results and patient identifiers. Staff include biomedical scientists, technicians, a quality lead, an information systems manager and a duty manager on each shift. Each risk is scored before controls to show its natural level, then again after the existing controls and the additional controls proposed. The scores are for learning and do not describe any real laboratory.

Objectives, assets and stakeholders

The objective is to deliver accurate and timely results, protect patients and staff from harm, keep records private, and maintain continuity of testing. The assets in scope are specimens, analysers, reagents, the laboratory information system, patient records, stored samples and the reputation of the service. Stakeholders include patients, ward and primary care clinicians, laboratory staff, the duty manager, the quality team, information governance staff, suppliers and the regulators or accrediting bodies that apply to the site. Clear roles matter: every risk has one owner role, and the laboratory quality lead keeps the register current and reports to the governance group 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 Likelihood 5, impact 4, score 20, critical: H01
4 Likely Likelihood 4, impact 3, score 12, high: H06
3 Possible Likelihood 3, impact 3, score 9, medium: H08 Likelihood 3, impact 4, score 12, high: H03 Likelihood 3, impact 5, score 15, high: H02 H04 H05
2 Unlikely Likelihood 2, impact 4, score 8, medium: H07
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 3, score 6, medium: H03 H08 Likelihood 2, impact 4, score 8, medium: H01 H02 H04 H05
1 Rare Likelihood 1, impact 4, score 4, low: H07
  • 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 Specimen identification and labelling errors 20 Critical 8 Medium Laboratory quality lead
H02 Analytical quality control and calibration failure 15 High 8 Medium Laboratory quality lead
H03 Laboratory information system outage or transmission error 12 High 6 Medium Information systems manager
H04 Biological exposure and sharps injury 15 High 8 Medium Biosafety officer
H05 Critical result not communicated within the required time 15 High 8 Medium Duty laboratory manager
H06 Staffing shortfall and competence gaps on shifts 12 High 6 Medium Laboratory manager
H07 Patient privacy, consent and record handling 8 Medium 4 Low Information governance lead
H08 Reagent, consumable or supplier shortage 9 Medium 6 Medium Procurement and supply lead
H01

Specimen identification and labelling errors

Safety Before 20 After 8

A sample is labelled with the wrong or incomplete patient identifier, collected in the wrong container or received without a valid request, so a result is attached to the wrong patient or cannot be interpreted safely.

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

Causes

Busy collection periods, handwritten labels and unclear collection instructions sent to wards.

Consequences

Wrong treatment decisions, repeat testing, delayed care and possible harm to a patient.

Existing controls

  • Samples are checked against the request form on receipt.
  • Two patient identifiers are required on every label.

Control gaps

Collection sites are not audited, and rejection reasons are not analyzed for trends over time.

Additional controls

  • Prevent: Reject unlabelled or mismatched samples at the bench and record every rejection with its reason.
  • Detect: Audit a sample of labels each week and track mismatch rates by collection site.
Likelihood 5 x impact 4 before; 2 x 4 after Owner: Laboratory quality lead Target: Within 30 days Early warning: Rejected or mismatched samples above the agreed weekly threshold for any collection site.
H02

Analytical quality control and calibration failure

Technology and data Before 15 After 8

An analyser drifts, a calibration lapses or quality control material is run incorrectly, so patient results are released that are biased, outside accepted limits or missing without warning.

Who or what is affected: Patients, clinicians and the quality team

Causes

Reagent lot changes, skipped maintenance and results released under time pressure.

Consequences

Wrong results, risk of misdiagnosis, repeat testing, delayed treatment and regulator concern.

Existing controls

  • Daily quality control runs on each analyser before patient testing.
  • Calibration is scheduled according to the equipment supplier's guidance.

Control gaps

Trend review is done only after a failure rather than as a routine step.

Additional controls

  • Prevent: Block release of patient results when quality control is outside limits unless a documented senior review is made.
  • Detect: Review quality control trends weekly and investigate shifts before they breach the limits.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: Laboratory quality lead Target: Within 45 days Early warning: Quality control values trending toward a limit on three consecutive runs.
H03

Laboratory information system outage or transmission error

Technology and data Before 12 After 6

The information system fails, an interface drops results, or a software update changes how results are stored or displayed, so results are delayed, lost or sent to the wrong patient record.

Who or what is affected: Clinicians, patients and the information team

Causes

Interface faults, untested updates and unplanned power or network loss.

Consequences

Delayed results, duplicate tests, data loss and patient risk from missing results.

Existing controls

  • The database is backed up every day to a separate location.
  • Interface messages are logged with time stamps.

Control gaps

Downtime forms are stored but staff have not practiced using them.

Additional controls

  • Prevent: Test every software update in a separate environment before it goes live for patient work.
  • Recover: Keep a downtime procedure with paper forms and a restore plan that is tested each quarter.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Information systems manager Target: Within 60 days Early warning: Interface messages held in a queue for longer than the agreed time.
H04

Biological exposure and sharps injury

Safety Before 15 After 8

Staff handle infectious samples, cultures or sharps without adequate containment, so they are exposed to blood-borne or airborne pathogens through puncture, splash or aerosol during routine work.

Who or what is affected: Laboratory staff, cleaners and visitors

Causes

Rushed procedures, damaged cabinets and poor waste segregation at busy periods.

Consequences

Infection, illness, time away from work and possible claims against the employer.

Existing controls

  • Staff are trained in the handling of infectious samples before working alone.
  • Sharps bins are placed at each bench and emptied by trained staff.

Control gaps

Cabinet certification checks are recorded at each site but not reviewed centrally.

Additional controls

  • Prevent: Use safety devices for needles and move aerosol generating steps into biological safety cabinets.
  • Respond: Follow a written post exposure procedure with a named clinical contact available out of hours.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: Biosafety officer Target: Within 30 days Early warning: Any sharps injury or near miss reported in the month.
H05

Critical result not communicated within the required time

Safety Before 15 After 8

A result that signals immediate danger, such as a dangerously high or low value or a positive culture, is not phoned or escalated to the responsible clinician within the agreed time, so urgent treatment is delayed.

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

Causes

Night shifts, unclear recipient names and results that are not flagged correctly by the system.

Consequences

Delayed treatment, avoidable harm and complaints.

Existing controls

  • Critical values are flagged in the system with a call requirement.
  • Staff log every call with the name of the person informed.

Control gaps

Notification times are not measured, so slow calls are not seen by management.

Additional controls

  • Detect: Review the time from result validation to clinician notification each day and investigate any delay.
  • Respond: Escalate unanswered calls to the duty clinician and the on call pathologist within a fixed interval.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: Duty laboratory manager Target: Within 30 days Early warning: Critical results not acknowledged within the agreed time window.
H06

Staffing shortfall and competence gaps on shifts

People Before 12 After 6

Staff absences or unfilled posts leave tests to be run by people not yet signed off as competent, or handovers are incomplete, so errors increase and urgent work waits.

Who or what is affected: Laboratory staff, patients and the duty manager

Causes

Vacancies, sickness, high workload and training postponed to cover shortfalls.

Consequences

Errors, backlogs, missed urgent tests and staff burnout.

Existing controls

  • A duty rota is set several weeks ahead.
  • Competence sign off is recorded for each analyser and test.

Control gaps

Competence records are not checked against the rota each week.

Additional controls

  • Prevent: Keep a list of signed off staff for each test and do not roster anyone else to run it alone.
  • Respond: Use a written handover checklist and a cover plan that moves urgent work to the nearest qualified site.
Likelihood 4 x impact 3 before; 3 x 2 after Owner: Laboratory manager Target: Within 60 days Early warning: Tests scheduled for a shift with no signed off operator.
H07

Patient privacy, consent and record handling

Legal and compliance Before 8 After 4

Patient identifiers are printed, emailed or left on shared screens, stored samples are kept or used beyond what consent allows, or results are shared with someone not entitled to see them.

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

Causes

Shared screens, unclear consent for stored samples and weak methods for sending reports.

Consequences

Breach of privacy, complaints, regulator involvement and loss of public trust.

Existing controls

  • Access to the system is limited by job role.
  • Staff sign a confidentiality agreement when they join.

Control gaps

Consent for stored samples is not reviewed against their current use.

Additional controls

  • Prevent: Restrict printing of results and use only approved secure channels for transfer of reports.
  • Detect: Review access logs each month for unusual lookups of records with no clinical link.
Likelihood 2 x impact 4 before; 1 x 4 after Owner: Information governance lead Target: Within 90 days Early warning: Access logs showing lookups of records with no clinical reason recorded.
H08

Reagent, consumable or supplier shortage

Supplier Before 9 After 6

A key reagent or consumable is out of stock, a supplied lot performs poorly, or a supplier stops supply, so testing is delayed, rationed or run with a lot that has not been checked.

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

Causes

Single source items, late orders and supplier recalls.

Consequences

Delayed diagnosis, rationed testing and unplanned cost.

Existing controls

  • Stock levels are counted at least weekly.
  • Two approved suppliers are listed for each key item.

Control gaps

Lot validation records are inconsistent between sites and shifts.

Additional controls

  • Prevent: Validate each new reagent lot against the current lot before it is released for patient testing.
  • Recover: Keep a tested plan to send urgent tests to a partner laboratory within a set time.
Likelihood 3 x impact 3 before; 2 x 3 after Owner: Procurement and supply lead Target: Within 60 days Early warning: Stock of a critical item falls below the agreed number of days of use.

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. Inherent risk is the score before any controls. Residual risk is the score after the existing and additional controls. Impact for patients is judged on the possible harm, the time to detect and correct the error, and the number of people affected, and a clinical risk is never rated down only because it has not yet happened. Anything Critical or High needs senior attention and a dated plan, anything Medium needs routine controls with a named owner, and anything Low is accepted and watched. Staff who do the work should challenge the ratings at each review, and any hazard is rescored whenever its early warning indicator reaches the threshold or an event is investigated.

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
Rejected or mismatched specimens by collection site each week.Escalate to the laboratory quality lead when any site is above the agreed threshold, and to the governance group after two weeks above it.
Quality control runs outside limits or trending toward a limit.Escalate to the laboratory quality lead at once, hold patient release on the affected analyser, and inform the duty manager.
Critical results not acknowledged within the agreed time window.Escalate to the duty clinician and on call pathologist at once, and to the laboratory manager if the pattern repeats in a month.
Access logs showing record lookups with no clinical reason recorded.Escalate to the information governance lead within one working day, and to the privacy officer if a breach is confirmed.
Tests scheduled for a shift with no signed off operator.Escalate to the laboratory manager before the shift starts, and to the duty manager if the gap cannot be covered.

Contingency arrangements

If a serious event occurs, such as a wrong patient result, an unreported critical value, a major analyser failure or a confirmed privacy breach, the duty manager stops affected testing and informs the responsible clinician at once. The information systems manager moves work to downtime forms and restores data from the latest tested backup. The quality lead records the event, starts a root cause review and informs the governance group. Patients are told what they need to know early and plainly through the proper clinical route.

Prioritized action plan

  1. Introduce two identifier checks with rejection logging at specimen receipt, owner laboratory quality lead, within 30 days.
  2. Block release of patient results when quality control is outside limits, owner laboratory quality lead, within 45 days.
  3. Measure critical result notification times and set the escalation chain, owner duty laboratory manager, within 30 days.
  4. Test downtime procedures and the restore plan with all shifts, owner information systems manager, within 60 days.
  5. Confirm sharps and cabinet checks are logged and reviewed centrally, owner biosafety officer, within 30 days.

Conclusion

Safe laboratory work depends on steady habits: two identifier checks, quality control that blocks release, timed notification of critical results, competence checks on every shift and tested downtime plans. The highest scores sit with specimen identity and critical result delay, 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, laboratory and legal advice for any real decision.

Assumptions and limitations

Assumptions

  • The laboratory follows a documented quality management system and staff hold recognized training for the tests they run.
  • Jurisdiction, accreditation body and clinical reporting rules are not specified, so legal duties are described in general terms only.
  • The laboratory information system links to analysers and to ward systems through interfaces that can fail.

Limitations

  • The scores are examples for learning and do not describe any real laboratory, analyser or patient group.
  • Clinical, laboratory and infection control 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 risk assessment or licensed clinical or laboratory advice.

Related frameworks to study

  • Hierarchy of controls for hazard management
  • Failure mode and effects analysis for process steps
  • Root cause analysis for investigating events
  • Three lines model of risk ownership

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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