Independent learning for medical-device professionals
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LearningMTL-116 · CORE MEDICAL DEVICE TOPIC

Usability and Human Factors

How to understand real users and real work, reduce use-related risk through design, and create credible evidence that the finished medical device can be used safely and effectively.

What you will learn

By the end of this topic, you should be able to distinguish usability engineering from general user-experience work, define the use specification and complete user interface, analyse tasks and use-related risk, apply a hierarchy of interface risk controls, plan effective formative evaluations, prepare a defensible usability validation and connect the resulting evidence to design controls, risk management and post-market learning.

01

Usability is a safety and performance discipline

Medical-device usability engineering applies knowledge about people, their capabilities, limitations and working conditions to the design of the user interface. Its safety purpose is to reduce the probability and consequences of use errors that could cause harm. It also supports accurate, timely and efficient performance of the device’s intended functions.

Human factors is the wider discipline; usability engineering is the structured application of that discipline to the device. User experience can address satisfaction, preference and commercial appeal, but a pleasant-looking interface is not evidence that critical tasks can be completed safely.

Users

Knowledge, experience, language, literacy, physical and sensory capabilities, cognitive demands, stress, fatigue and training.

Tasks

Goals, decisions, sequences, information, timing, frequency, workload, coordination, recovery and consequences of error.

Environments

Lighting, noise, space, interruptions, infection control, clothing, mobility, network conditions and competing activities.

Interface

Hardware, software, displays, controls, connectors, packaging, labelling, instructions, alarms, training and service interactions.

Risk

Use errors, hazardous situations, harms, risk controls, critical tasks, residual uncertainty and foreseeable misuse.

Evidence

Research, task analysis, design rationale, formative findings, validation results, traceability and post-market information.

Use error is not automatically user error

When a person takes or omits an action that produces an unintended result, investigate how the interface, information, environment and task shaped that behaviour before attributing the outcome to carelessness.

02

Define the use specification before designing the interface

The use specification describes who uses the device, what they do, for whom, why and where. It is the foundation for user-interface requirements, use-related risk analysis, participant selection and realistic evaluation scenarios.

  • Define each distinct user group, including patients, carers, clinicians, technicians, installers, cleaners and service personnel where applicable.
  • Describe relevant experience, qualifications, language, literacy, sensory and physical capabilities.
  • Identify patient populations and characteristics that change the interaction or consequences of error.
  • Describe professional, laboratory, home, transport and emergency environments as applicable.
  • Define operating principles, intended medical purpose, user goals and expected workflows.
  • Identify frequency, duration, urgency, workload, distractions, protective clothing and environmental constraints.
  • State what training, documentation, accessories, other equipment and organisational support are expected.
  • Include reasonably foreseeable use beyond the ideal workflow, including interruptions, recovery and unusual but credible conditions.

Use MTL-102 — Intended Purpose, Users and Use Environments to establish this context. The use specification should remain consistent with product claims, risk management, system requirements and the populations represented in validation.

03

Treat every point of interaction as the user interface

The user interface is not limited to a screen. It includes every means by which the user receives information from the device, acts upon it, prepares it, connects it, maintains it or recovers from a problem.

PhysicalShape, size, weight, controls, connectors, mechanisms, grip, access and assembly
DigitalScreens, menus, navigation, data entry, status, permissions and error recovery
InformationDisplays, symbols, alarms, indicators, prompts, units, terminology and feedback
SupportingPackaging, labels, instructions, quick guides, training and service information
EnvironmentOther equipment, consumables, PPE, lighting, noise, interruptions and workflow
EvidenceRequirements, analysis, evaluation, validation and lifecycle monitoring

Interfaces between disciplines often create use problems: a connector that fits the wrong port, a mechanical latch whose state is not sensed, software that reports completion before a physical process finishes, or labelling that uses different terminology from the display. Use MTL-112 — Systems Engineering, Architecture and Interfaces to maintain a coherent system boundary and interface model.

04

Analyse real tasks and workflows

Task analysis breaks user goals into the decisions, perceptions and actions needed to achieve them. It should describe the work as people actually perform it, including preparation, transitions, interruptions, recovery, cleaning and shutdown—not only the device’s intended button sequence.

Goal and trigger

Why the task begins, what the user is trying to achieve and what information or event starts it.

Information

What the user must perceive, remember, interpret, compare or calculate at each step.

Action

What the user selects, enters, connects, positions, confirms, observes or physically manipulates.

Feedback

How the device indicates state, progress, acceptance, failure, completion and the need for further action.

Variation

Different users, patients, configurations, environments, time pressure, interruptions and recovery paths.

Failure consequence

What could happen if the action is omitted, delayed, repeated, out of sequence or performed incorrectly.

Observe representative users when possible. Interviews reveal beliefs and remembered practice; observation reveals workarounds, interruptions, shared responsibilities and environmental constraints that users may not think to describe. Translate the findings into measurable user-interface and system requirements using MTL-103 — User Needs and Design Inputs.

05

Build use-related risk into the product risk process

Use-related risk analysis examines how interface characteristics and use conditions could lead to use errors, hazardous situations and harm. It is part of the overall risk-management process—not a separate usability risk score that ends with ease of use.

  • Identify hazards and foreseeable sequences of events involving user interaction.
  • Describe potential use errors without assuming a single cause.
  • Connect each use error to the hazardous situation and possible harm.
  • Consider perception, cognition, decision-making, memory, physical action and communication.
  • Include slips, lapses, mistakes, mode confusion, incorrect assumptions and intentional workarounds.
  • Identify risk controls already implemented in the user interface and their possible limitations.
  • Determine which tasks are critical because an incorrect or omitted action could cause serious harm.
  • Define hazard-related use scenarios that can be represented realistically in evaluation and validation.
  • Keep the analysis aligned with design changes, formative findings and post-market information.

Severity comes from the potential harm, not from how difficult the task appears. A simple confirmation, connector or unit selection can be critical when an error could lead to an incorrect treatment. See MTL-105 — Medical-device Risk Management for the wider risk process.

06

Control risk through the interface design

Prefer risk controls that make the correct action natural, prevent dangerous actions or make an unsafe state visible. Information for safety and training are important, but they are generally less reliable than well-designed inherent or protective interface features.

Prevent

Remove unnecessary steps, incompatible connections and dangerous choices; constrain sequences and make controls distinct.

Protect

Use guards, interlocks, limits, confirmations, plausibility checks and independent detection where prevention is not sufficient.

Make visible

Provide clear state, mode, units, progress, configuration, connection and completion feedback at the point of action.

Support recovery

Make errors detectable and provide safe, understandable routes to correct, cancel, resume or obtain help.

Inform

Use warnings, labels and instructions that are specific, located appropriately and consistent with the actual workflow.

Train

Define realistic training content, delivery, retention period and dependence, then evaluate it as part of the final system.

Design controls should address the root cause. Adding a warning to compensate for ambiguous modes or indistinguishable connectors is weak when the interface can be redesigned. Conversely, do not remove essential information merely because “good design should need no instructions”; users may need preparation, compatibility, maintenance or emergency information that cannot reside on the device.

Physical and digital elements must be designed together. See MTL-115 — Mechanical Design and Materials and MTL-114 — Electrical and Electronic Design for the engineering disciplines that realise many interface controls.

07

Use formative evaluation to improve the design

Formative evaluation is iterative learning conducted during development. Its purpose is to discover problems, understand why they occur and guide design changes. It can range from expert review and walkthroughs to representative-user sessions with increasingly realistic prototypes.

  • Start early enough that findings can change architecture and workflow, not merely wording.
  • Choose methods and participants that address the current design questions.
  • Use realistic tasks, data, accessories, environments, interruptions and time pressure where relevant.
  • Observe behaviour and reasoning rather than asking only whether users like the design.
  • Avoid coaching participants through the very interaction being evaluated.
  • Capture use errors, close calls, hesitations, confusion, workarounds and unexpected strategies.
  • Investigate causes in the interface, task, information, environment and user expectations.
  • Record design changes and determine whether they introduce new tasks or risks.
  • Repeat evaluation until safety-significant uncertainties are resolved sufficiently for validation.

Formative work does not need to imitate a formal validation study every time. Small, focused studies can answer specific questions quickly. However, convenient colleagues are not substitutes for intended users when experience, capability or context materially affects the result.

Test the design, not the participant

The useful question is not whether a participant “passed”. It is whether the interface supported the intended behaviour, what made interaction difficult and how the design can reduce the possibility of harm.

08

Validate the final user interface

Usability validation—often called human-factors validation or summative evaluation—provides evidence that the final user interface can be used safely and effectively by the intended users, for the intended uses and in representative use environments. It is not simply a larger formative study or a general satisfaction survey.

Final interface

Use production-equivalent hardware, software, packaging, labelling, instructions, accessories and training.

Representative users

Recruit each distinct intended-user population using characteristics relevant to safe interaction.

Realistic conditions

Represent the environment, workflow, distractions, equipment, PPE, time pressure and use frequency as justified.

Critical tasks

Include tasks whose incorrect or omitted performance could cause serious harm, within complete hazard-related scenarios.

Minimal intervention

Allow participants to interact independently after the specified training and decay period without coaching.

Root-cause enquiry

Investigate all use errors, close calls and difficulties after task performance without leading participants.

The validation protocol should predefine user groups, sample rationale, scenarios, critical tasks, configurations, training, data collection and analysis. The report should present actual observations and explain why remaining findings do or do not indicate unacceptable use-related risk.

Validation of the user interface contributes to design validation but does not replace clinical, performance or system validation. Use MTL-106 — Verification and Validation to distinguish these evidence questions.

09

Investigate findings rather than counting errors

A simple pass/fail table can hide important safety information. Every use error, close call and serious difficulty should be investigated to understand its probable causes and potential consequences.

  • Reconstruct what the participant perceived, understood, expected and attempted.
  • Review interface cues, terminology, feedback, layout, modes, timing and workflow assumptions.
  • Consider whether the scenario, prototype, training or study method influenced behaviour.
  • Determine whether other users could make the same error and whether the outcome could be more severe.
  • Revisit the use-related risk analysis and affected risk controls.
  • Change the design when further risk reduction is practicable and justified.
  • Assess whether a change requires additional formative work or repeat validation.
  • Document the evidence and reasoning behind residual-risk conclusions.

“Only one participant made the error” is not a root-cause analysis. Validation studies are not normally powered to estimate rare-event probabilities. A credible interface-related failure with serious potential harm demands engineering judgement and risk analysis even when its observed frequency is low.

10

Usability work across the lifecycle

1

Understand the use context

Define intended users, patient populations, use environments, operating principles, user goals, workflows, training, accessories and foreseeable conditions that shape interaction with the device.

Typical evidence: Use specification, user profiles, environmental characteristics, workflow research, contextual observations and documented assumptions.
2

Identify tasks and use-related risk

Describe user tasks and interfaces, identify potential use errors, determine hazardous situations and harm, and select the tasks that require particular design attention or validation.

Typical evidence: Task analysis, use-related risk analysis, hazard-related use scenarios, critical-task rationale and links to the risk-management file.
3

Develop the user-interface concept

Create physical, digital, packaging, labelling and training elements as one coherent interface, using design to prevent or detect dangerous errors wherever practicable.

Typical evidence: User-interface requirements, concepts, prototypes, design rationale, risk-control decisions and multidisciplinary reviews.
4

Evaluate formatively

Place representative designs in front of representative users early and repeatedly to discover interaction problems, understand their causes and improve the design.

Typical evidence: Formative plans, participant rationale, scenarios, observations, findings, design changes, residual questions and traceability.
5

Finalise the validation-ready interface

Complete the design, instructions, training and risk analysis; confirm critical tasks and define realistic validation scenarios, participants and success criteria.

Typical evidence: Final user-interface specification, validation plan, critical-task list, participant profiles, scenarios, training rationale and readiness review.
6

Validate safe and effective use

Evaluate the final production-equivalent interface with representative intended users under realistic conditions, investigating every use error, close call and difficulty.

Typical evidence: Approved validation protocol, participant records, results, root-cause analysis, residual-risk conclusions and final report.
7

Learn through the supported lifecycle

Monitor complaints, service experience, training feedback, use errors and environmental change; assess product changes and feed new knowledge back into design and risk management.

Typical evidence: Post-market trends, complaint investigations, change assessments, updated use-related risk analysis, corrective actions and regression rationale.
11

Maintain a connected usability-engineering file

The usability-engineering file may be a collection of controlled records rather than one document. It should make the reasoning traceable from use context and known problems through risks, design decisions, evaluations and final conclusions.

ContextUse specification, users, environments, workflows and known use problems
AnalysisTasks, interface characteristics, use errors, hazardous situations and critical tasks
RequirementsUser-interface functions, information, constraints, feedback and risk controls
DesignHardware, software, packaging, labelling, instructions and training
EvaluationFormative findings, design changes, validation results and root-cause analysis
ConclusionResidual risk, benefit-risk where applicable, release decision and lifecycle monitoring

Maintain bidirectional links to the product risk-management file and design inputs. When the interface changes, assess which tasks, risk controls, formative conclusions and validation results are affected. See MTL-104 — Design Controls and Technical Documentation for organising this connected evidence.

12

Common misconceptions

“Usability means making the interface easy.”

Ease matters, but the regulated safety process focuses on preventing use errors that could lead to harm and supporting safe, effective use.

“Training can solve a poor interface.”

Training can be necessary, but memory decays and real conditions vary. Design out hazards and ambiguity wherever practicable.

“Five users are always enough.”

No universal sample size applies to every purpose. Formative and validation studies need different rationales based on user groups, risks and questions.

“Validation is a demonstration to the project team.”

No. It requires representative users, a final interface, realistic scenarios, controlled methods and investigation of findings.

“No observed error means no use-related risk.”

No. Study limitations, rare events, unrepresented conditions and known interface characteristics must still be considered.

“The usability team owns use-related risk.”

No. Usability specialists lead methods, but systems, design, clinical, risk, regulatory and product teams jointly own the interface and evidence.

13

Usability-engineering practical checklist

  1. Define intended users, patients, uses, environments and training assumptions.
  2. Identify the complete physical, digital and supporting user interface.
  3. Observe real workflows and analyse tasks, decisions, information and recovery.
  4. Connect potential use errors to hazardous situations and possible harms.
  5. Identify and justify critical tasks and hazard-related use scenarios.
  6. Prefer design-based prevention and protection over warnings and training alone.
  7. Evaluate representative concepts early and iteratively with appropriate users.
  8. Investigate causes and trace findings into requirements, design and risk records.
  9. Validate the final production-equivalent interface under realistic conditions.
  10. Investigate every validation use error, close call and serious difficulty.
  11. Document residual-risk reasoning and submission-relevant human-factors evidence.
  12. Monitor post-market use and reassess changes throughout the supported lifecycle.
14

Authoritative starting points

Product-specific standards and regional requirements can add particular user-interface, alarm, labelling, accessibility, home-use or validation expectations. Confirm current editions, amendments and applicable regulatory guidance in the organisation’s controlled strategy.