Sources and References

Primary texts — Carayon (ed.), Handbook of Human Factors and Ergonomics in Health Care and Patient Safety, 2nd ed. (CRC Press). Yock et al., Biodesign: The Process of Innovating Medical Technologies, 2nd ed. (Cambridge).

Supplementary texts — Norman, The Design of Everyday Things, revised ed. (Basic Books). Wears and Hettinger, Human Factors in the Health Care System (Springer). Dekker, The Field Guide to Understanding “Human Error”, 3rd ed. (Ashgate).

Online resources — FDA Applying Human Factors and Usability Engineering to Medical Devices guidance. IEC 62366-1 usability engineering. ISO 14971 risk management. AAMI HE75 Human Factors Engineering — Design of Medical Devices. Canadian Patient Safety Institute resources (open).

Chapter 1: Learning by Observation

1.1 Why Observe

Most needs in health care are invisible to the untrained eye. Clinicians adapt around workflow gaps, device limitations, and resource shortages, often without noticing the workarounds they have built. A structured observation program reveals these hidden constraints and identifies opportunities for engineering intervention that chart review or interview alone would miss.

1.2 Ethnographic Method

Ethnography in health care borrows from medical anthropology: immersion in the setting, participant observation, artifact analysis, and triangulation across multiple informants. The observer records what people do, what they say, and — most revealing — the mismatches between the two.

Chapter 2: Planning a Site Observation

2.1 Access and Ethics

Observational access requires institutional approval, research ethics board review if data will be analyzed for publication, and patient consent for shadowing in direct-care environments. Privacy obligations under PHIPA (Ontario) or analogous provincial legislation constrain what observers may see, record, or discuss outside the site.

2.2 Observation Protocols

A protocol specifies: target setting, observation windows, roles to shadow, artifacts to collect, note-taking format, and data-handling plan. Time-sampled observation uses fixed intervals; event-sampled observation triggers on defined activities (e.g., medication administrations). Structured checklists impose coverage; open-form notes capture unexpected detail.

2.3 Positioning the Observer

Observers balance presence and invisibility. Being introduced at handover, wearing clear “observer” identification, and declining to help with clinical tasks maintain observer status. Debriefing with the hosting clinician at the end of each shift clarifies ambiguous moments and builds trust for subsequent visits.

Chapter 3: Health Care Settings

3.1 Acute Care

Hospitals span emergency departments, medical and surgical wards, intensive care units, operating rooms, and procedural suites. Each has distinct pace, acuity, interruption density, and team composition. Bedside rounds, handovers, medication administration, and rapid-response events are high-yield observation targets.

3.2 Ambulatory and Primary Care

Family practices, specialty clinics, dialysis centres, and chemotherapy units operate on scheduled patient flow. EHR-centred workflows, between-visit communication, and continuity across care teams shape the observation themes.

3.3 Rehabilitation and Long-Term Care

Physical, occupational, and speech therapy; cardiac and pulmonary rehabilitation; assistive-device fitting; and long-term care facilities all combine clinical with workflow considerations. Device usability and maintenance burden on non-clinical staff become prominent.

3.4 Community and Home

Home-care visits, community health centres, and remote-monitoring programs extend observation beyond institutional walls. Device deployment in home environments reveals failure modes — unreliable network, variable lighting, untrained users — invisible in hospitals.

Chapter 4: Identifying Opportunities

4.1 Workflow Mapping

Swim-lane diagrams depict actors and activities across time. Bottlenecks, loops, and handoffs reveal friction. Value-stream mapping distinguishes value-adding time from waiting and rework, with metrics of lead time and first-pass yield. A common finding: devices require multiple handoffs and workarounds that add time without clinical value.

4.2 Device Usability Issues

Observation often surfaces interface problems: ambiguous alarms, unreadable displays in daylight, controls requiring two hands when only one is free, or consumables incompatible across vendors. Documenting these systematically feeds back to design teams and supports regulatory post-market surveillance.

4.3 Protocol Gaps

Protocols written at the institutional level rarely anticipate every situation. Observation reveals decisions made when protocols are silent, ambiguous, or known-obsolete. Gap analysis compares protocol to practice; the discrepancy is opportunity — either revise the protocol or redesign the work to fit.

Chapter 5: Regulatory, Business, and Ethical Constraints

5.1 Regulatory Landscape

Proposed changes to a medical device or clinical workflow intersect with Health Canada licensure, IEC 60601 electrical safety, IEC 62366 usability engineering, and ISO 14971 risk management. Workflow changes that alter “intended use” of a device may require re-submission. A realistic opportunity statement includes the regulatory pathway and evidence requirements.

5.2 Business Model

Who pays, who uses, and who benefits are often different parties. A device that saves nursing time but raises capital cost may be unfunded despite positive aggregate value. Reimbursement codes, procurement cycles, and capital vs operating budget distinctions all shape whether an idea can reach patients.

5.3 Ethics

Observations produce sensitive findings: errors, near-misses, interpersonal conflict. Ethical reporting anonymizes individuals, describes system-level patterns, and prioritizes patient safety. Observers owe clinicians candour and confidentiality; they owe patients safety and privacy; they owe institutions accurate, actionable feedback.

Chapter 6: Translating Observations into Design

6.1 From Field Notes to Needs

Raw observations are organized into need statements — solution-neutral, actor-specific, context-rich — and ranked by frequency, severity, and feasibility. Affinity diagramming clusters related observations; KJ method formalizes the cluster-and-label process. Each need should be traceable to the field data it summarizes.

6.2 Prototyping and Iterative Testing

Low-fidelity prototypes — cardboard, paper screens, role-play — test design hypotheses with minimal investment. Usability testing with representative clinicians in realistic task scenarios exposes mismatches early. IEC 62366 formative evaluations are the named process in medical-device regulation; the principles apply more broadly to any health-care intervention.

6.3 Implementation Science

Adopting an engineered solution in a clinical setting is its own project. Rogers’ diffusion-of-innovation factors — relative advantage, compatibility, complexity, trialability, observability — predict uptake. Implementation frameworks (CFIR, RE-AIM) structure the design of deployment. Engineers who ignore implementation deliver technically excellent artifacts that collect dust in closets.

6.4 Reporting

A polished observation report presents: scope and method; context (unit, roles, shift, acuity); observations organized by theme; needs derived, prioritized, and validated; and recommended next steps. It cites data, not opinion; it respects privacy; it distinguishes what was seen from what was inferred. Such reports, shared with site partners, close the loop and justify future access.