Start with the workflows that cause the most friction, duplication, or delay in daily care. In healthcare, the best optimisation targets are usually the tasks that consume clinical time without improving patient care, such as repeated logins, fragmented documentation, or manual re-entry. Prioritise changes that free staff attention, improve consistency, and support safer care, then measure whether the change actually improves bedside time and workflow flow.
Optimising Existing Digital Systems in Healthcare: what to fix first
Healthcare organisations should start where digital friction most directly steals clinical time or creates avoidable rework. The first candidates are rarely the newest features, they are the everyday tasks that slow care delivery, such as repeated authentication, duplicate documentation, manual data transfer, or workflows that force staff to switch systems just to complete routine work.
The practical test is simple: if a system step adds delay, inconsistency, or distraction without improving care quality, it belongs near the top of the optimisation list. Improvements should be judged by whether they reduce wasted effort, improve reliability, and give clinicians more uninterrupted time with patients.
How to choose optimisation targets that matter in daily care
Start by mapping the work as clinicians actually perform it, not as the system diagram suggests it should happen. The highest-value targets are usually the tasks that are repeated many times a day, touch many roles, or create queueing and handoff delays. In healthcare, that often means login burden, fragmented charting, search-heavy interfaces, duplicate form entry, and manual reconciliation between systems.
Focus on the work where small inefficiencies compound into large operational waste. A one-minute delay repeated across dozens of encounters, shifts, or departments quickly becomes meaningful. The best targets are the ones where removing friction also reduces error potential, because smoother workflows usually mean fewer workarounds, fewer interruptions, and less chance that staff bypass the intended process.
Optimisation should be anchored to observable workflow pain, not aesthetic preference or feature novelty. A system that looks modern but still forces manual re-entry may be a worse operational choice than a less polished system that preserves continuity and reduces clicks. The question is not which tool is newest, but which step most constrains care delivery today.
What to measure before and after a change
Before changing anything, establish a baseline for cycle time, handoff delays, rework, and the number of times staff must repeat the same action. Useful measures are often operational rather than purely technical: time to complete a charting task, time lost to repeated authentication, number of interruptions per shift, or how often a workflow requires manual correction.
After the change, verify that the improvement appears in the work itself, not just in system metrics. A faster screen response time is useful only if it shortens the real task. The outcome that matters is whether clinicians spend less time navigating the system and more time on care, with fewer workarounds and fewer failures at the point of use.
Healthcare optimisation also needs to account for safety trade-offs. A shortcut that saves clicks but weakens verification, traceability, or clarity is not a genuine improvement. The right metric is balanced: less friction, same or better consistency, and no loss of control where the workflow supports clinical safety.
Risk and Threat Considerations
When healthcare systems are optimised poorly, organisations often remove friction in the wrong place and leave the real bottlenecks untouched. That can push staff toward unsafe workarounds, shared access, duplicate records, or informal communication paths that increase operational and security exposure.
Failure mechanism: Excessive workflow friction encourages bypass behaviour, and bypasses tend to spread when they are the only practical way to complete care tasks quickly. Over time, that can erode data quality, weaken accountability, and make mistakes harder to detect.
Impact: The result is not just inconvenience, but lower clinical efficiency, less reliable records, and a higher chance that process gaps affect patient safety, auditability, and continuity of care.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and CIS Controls v8 set the technical controls, while ISO/IEC 27001:2022 and SOC 2 (AICPA) define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AT-01 — Awareness and Training | Staff workflow optimisation depends on usable, adopted processes. |
| Recommendation — Design changes so clinicians can follow the new workflow reliably. | ||
| CIS Controls v8 | CIS-5 — Account Management | Repeated logins and access friction are common optimisation pain points. |
| Recommendation — Streamline account and access steps that add avoidable daily friction. | ||
| ISO/IEC 27001:2022 | A.5.15 — Access control | Healthcare workflow design often includes access steps that shape daily efficiency. |
| Recommendation — Review access steps that slow care and remove unnecessary approvals. | ||
| SOC 2 (AICPA) | CC7.2 — Identify and respond to deviations | Workflow optimisation should be validated by measuring whether the change improves operations. |
| Recommendation — Track workflow deviations before and after the change to confirm improvement. | ||
Practitioner Guidance
What to prioritise: Start with the workflows that affect many staff members every day and create repeated delay, not the isolated complaints that are visible but low impact. If a task consumes time at scale and does not materially improve care, it is a strong optimisation candidate.
What to verify: Confirm that the proposed change reduces real work, not just one visible step. Check whether it eliminates duplicate entry, reduces context switching, and shortens the path from task start to task completion without introducing new exceptions.
Practitioner takeaway: The best first optimisation in healthcare is usually the one that removes recurring friction from core care workflows while preserving safety, traceability, and consistency.
Related resources from NHI Mgmt Group
- Should organisations prioritise external exposure or internal credential governance first?
- How should security teams decide whether to modernise authentication or stabilise existing systems first?
- How do organisations decide which exposed AI systems need urgent remediation first?
- How do organisations operationalise NHI ownership at scale?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
