Passwordless access in healthcare: reducing clinical workflow friction

At a glance

What this is: This is an analysis of how password-heavy access slows clinical work and how advanced, passwordless access changes the daily clinician workflow.

Why it matters: It matters because IAM teams supporting healthcare must balance patient care continuity, shared-device access, and strong assurance across human identity programmes.

By the numbers:

• 41% cite delays in patient care.
• 35% report wasted clinical time.
• 32% identify user frustration as a significant consequence.

👉 Read Imprivata's analysis of passwordless access for clinical workflows

Context

Healthcare access environments often fail because they treat every login as a separate event instead of part of a continuous clinical workflow. In shared-workstation settings, repeated passwords, timeouts, and application silos interrupt care delivery and add measurable friction to human identity governance.

Passwordless and adaptive access are not just usability features in this context. They change how identity assurance is delivered for clinicians moving across shared devices, high-assurance tasks, and intermittent network conditions, which makes them relevant to IAM, PAM, and digital workforce design.

Key questions

Q: How should hospitals reduce password friction without weakening access security?

A: Hospitals should replace repeated password entry with passwordless access, context-aware step-up verification, and session continuity on shared devices. The goal is to preserve assurance while removing avoidable interruptions from clinical workflows. Teams should evaluate which applications still force reauthentication, where lockouts occur, and whether access policy matches the real risk of the task being performed.

Q: Why do shared workstations create so much access friction in healthcare?

A: Shared workstations force clinicians to authenticate repeatedly as they move between rooms, devices, and applications. That breaks workflow continuity, adds cognitive load, and turns short delays into accumulated lost time. In practice, the problem is not a single login event but the repeated reset of context across a clinical shift.

Q: What do security teams get wrong about biometric access in clinical settings?

A: They often treat biometrics as a blanket replacement for passwords, when they are better used as step-up verification for higher-risk tasks. Biometric checks should be tied to device trust, workflow context, and assurance level. Used selectively, they reduce friction without making every interaction equally burdensome.

Q: How do you know if adaptive authentication is actually helping clinicians?

A: Look for fewer unnecessary prompts, lower help desk volume, reduced lockouts during mobility or outages, and less overtime caused by authentication delays. If clinicians still lose time to repeated logins or workarounds, the policy is not aligned to the workflow. Effective adaptive access should be nearly invisible in routine care.

Technical breakdown

Shared workstations and session continuity

Shared workstation models create a collision between identity controls and clinical mobility. When users move between rooms, devices, and applications, each authentication event resets context and adds delay. Session continuity reduces this burden by preserving the user’s authenticated state while still locking the session when the clinician leaves. In healthcare, the key technical challenge is not simply verifying identity once. It is maintaining secure access across fast-changing locations and devices without forcing repeated credential entry that breaks workflow and increases error rates.

Practical implication: map where session handoff, automatic lock, and workstation roaming are missing and prioritise those gaps in clinical units.

Biometric verification and step-up authentication

Biometrics in healthcare access flows are best understood as step-up verification, not a replacement for all identity controls. A fingerprint or facial check can provide stronger assurance for sensitive actions such as medication administration or controlled-substance access while avoiding password fatigue. The architecture matters because the biometric event must be tied to the right assurance level, device trust state, and application context. Used well, this lowers workflow drag while preserving stronger verification where risk is highest.

Practical implication: reserve biometric step-up for high-risk actions and align it with policy-driven assurance rather than blanket prompting.

Offline MFA and adaptive access for clinical resilience

Healthcare access often depends on networks that are not perfectly stable. Offline MFA supports continuity when connectivity drops, while adaptive authentication uses context such as location, device, and timing to decide when extra verification is needed. That combination keeps care moving without flattening security into a one-size-fits-all prompt. The technical lesson is that resilience and assurance can be designed together if authentication is aware of operational context rather than forced to behave the same way in every situation.

Practical implication: test offline and context-aware access paths during outage scenarios so clinicians are not locked out when infrastructure degrades.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• DeepSeek breach — DeepSeek breach exposed 1M+ log lines and sensitive secret keys.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Password friction is a clinical governance problem, not a user-experience inconvenience. The article shows that repeated authentication interrupts care, creates cognitive load, and wastes time across a shift. In human identity programmes, that means access design directly affects operational performance, not just login success rates. Practitioners should treat access friction as a measurable control issue inside clinical governance.

Shared-workstation access exposes a persistent session-continuity gap. Healthcare staff do not work from a single device or a single context, so identity controls that assume static endpoints are misaligned with the environment. The right question is not whether users can authenticate, but whether access follows work without creating unsafe persistence or unnecessary re-entry. Practitioners should redesign around roaming sessions and locked contexts rather than serial logins.

Adaptive authentication is the correct risk model for clinical mobility. Not every access event deserves the same assurance burden, and the article makes that distinction clear through location, device, and task-sensitive workflows. That aligns with zero trust principles: verify based on context, not habit. Practitioners should move away from uniform prompts and toward policy that reflects clinical risk, device trust, and task sensitivity.

Access modernisation belongs in workforce and retention discussions as much as security discussions. The article ties password pain to frustration, wasted time, and overtime, which makes access design part of clinician experience management. That is a broader IAM lesson for human programmes: controls that are technically secure but operationally hostile will be worked around or resented. Practitioners should evaluate authentication through both security and staff-experience metrics.

From our research:

• The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
• Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant behaviour gap in application environments.
• For the governance angle that sits behind these operational delays, see NIST Cybersecurity Framework 2.0 for the identify, protect, detect, respond, and recover functions.

What this signals

Clinical access modernisation will increasingly be judged by throughput, not just authentication strength. Healthcare teams need to track whether access controls remove time from the bedside or simply relocate friction into another step. The governance signal is clear: passwordless and adaptive access only matter if they reduce interruptions in live care, not if they merely change the form of the interruption.

Access programmes that ignore shared-device reality will keep creating shadow work for clinicians. When login behaviour is built around a single user on a single device, clinicians end up carrying the burden through resets, reauthentication, and manual context recovery. That is why session-aware design should be treated as part of workforce resilience, not an optional usability enhancement.

Adaptive access in healthcare should be anchored in a named concept: clinical session continuity. That means preserving authenticated context across roaming clinicians, shared workstations, and high-assurance tasks without forcing repeated credential entry. Organisations that cannot preserve continuity will continue to pay for it in time, frustration, and workarounds.

For practitioners

• Measure authentication burden by workflow, not by login count. Track how many times clinicians authenticate during a shift, where resets occur, and which applications create the most interruption. Use those measurements to identify shared-workstation and app-switching hotspots.
• Prioritise session continuity on shared workstations. Implement roaming or context-preserving sessions where clinicians move between rooms and devices, and ensure automatic locking follows them when they leave a workstation.
• Use step-up authentication only for high-risk tasks. Apply stronger verification for actions such as medication administration or access to sensitive records, while keeping lower-risk routine access as frictionless as possible.
• Test offline access paths in outage conditions. Validate that clinicians can continue securely during network interruptions and that fallback procedures do not force manual workarounds that slow care.
• Tie access design to burnout metrics. Include frustration, overtime spillover, and help desk volume in authentication reviews so IAM changes are evaluated as workforce controls, not only security controls.

Key takeaways

• Password-heavy clinical access creates measurable delays, wasted time, and user frustration that accumulate across a shift.
• Shared workstations, repeated logins, and password resets turn identity controls into workflow interruptions rather than invisible safeguards.
• Passwordless, adaptive, and session-aware access can preserve assurance while reducing the friction that affects care delivery and staff experience.

Key terms

• Session Continuity: Session continuity is the ability to preserve a user's authenticated state as they move between devices or locations without forcing a full re-login. In clinical environments, it reduces interruptions while still allowing lock, timeout, and revalidation controls to protect the session when risk changes.
• Adaptive Authentication: Adaptive authentication adjusts verification requirements based on context such as device trust, location, time, and user behavior. In practice, it avoids one-size-fits-all prompting and applies stronger checks only when the access event appears riskier than normal.
• Step-Up Verification: Step-up verification is an additional identity check used when a task or resource carries higher risk than ordinary access. It is not a replacement for baseline authentication. It is a policy-driven escalation that adds assurance only where the workflow and threat model justify it.

Deepen your knowledge

Healthcare passwordless access and shared-workstation design are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building a clinical access programme from a similar starting point, it is worth exploring.

This post draws on content published by Imprivata: Passwordless access in healthcare and the clinical workflow impact of password friction. Read the original.