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What AI can do for pathology and diagnostic services
Behind every diagnosis is a long trail of small steps: a specimen arrives, a request is logged, a slide is prepared, a report is written and a result reaches the clinician. Every step needs accuracy, and many of them need a person to move information from one screen to another.
This article explains where AI can help pathology and diagnostic services, how to keep pathologists and scientists firmly in charge, and how to pick a sensible first project. The short answer: AI can take on repetitive workflow tasks and help prioritise work, while clinicians make the diagnostic decisions and remain easy to reach.
Key takeaways
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Where pathology and diagnostic services lose time
Much of a laboratory’s day goes on work around the diagnosis rather than the diagnosis itself. Requests arrive in different formats, specimens and records have to be matched, reports are chased and results are passed on by phone, email or portal.
Each handover is a chance for delay or error. Multiply it across hundreds of cases and it becomes a steady drag on turnaround time and on the specialists whose expertise is best spent elsewhere.
What AI can do across the diagnostic workflow
AI is most useful where work is high in volume and structured. It can read incoming requests and flag missing information, help track specimens through each stage and suggest how to order a worklist so urgent cases are seen first. It can also monitor turnaround times and alert teams when a case is at risk of slipping.
Closer to the clinical work, image analysis tools can highlight areas of a digital slide for a pathologist to examine, and language tools can draft parts of a report from structured findings for review and sign-off. Results communication follows the same pattern, with AI preparing notifications and routing queries to the right person. In each case, AI prepares the ground and a qualified person reviews the output.
Keeping pathologists and scientists in the loop
Human involvement in diagnostics means more than a final signature. Pathologists need the context and authority to question a suggestion, correct a draft and override a priority order. Staff should be able to see why a case was flagged or ranked, so they can judge it rather than simply accept it.
A bespoke workflow can reflect how your laboratory actually works, for example by routing unusual cases to a named specialist, or by arranging a call when a referring clinician would like to discuss a result. Clinicians often value a quick conversation about a difficult case, so the technology should make that conversation easier to reach. Diagnostic decisions stay with the appropriate professionals, and each workflow should define who monitors it, reviews exceptions and can intervene.
How to choose where to start
Start with the task that takes the most staff time, then test it on three questions. Value: will fixing it free up time you can measure? Feasibility: can the tool connect to your laboratory information system and existing records? Readiness: does someone own the process, and will the team use it?
Integration matters. A tool that sits outside your core systems creates re-keying, which is the admin you wanted to remove. Request triage, specimen tracking and turnaround monitoring are usually sensible first steps, because they are easy to review and sit close to the workflow rather than the diagnosis. Involve your clinical leads and quality team from the start, so they shape how the tool is used.
Relevant Geeks experience in pathology
At Geeks, we worked with Cellular Pathology Services (CPS), a healthcare organisation with 11 to 50 employees. CPS needed a specialised application for a key client, initially covering a limited range of pathology specialisms.
After a detailed discovery phase using our VisualSpec™ software, we designed and developed an online tool to automate laboratory workflows for managing pathology tests and results. The project was aimed at supporting faster turnaround of test results and better workflow efficiency.
This was workflow software rather than an AI deployment. It shows the foundation any AI step builds on: a clear, joined-up digital process that people can follow and review.
Conclusion
AI earns its place in pathology and diagnostic services when it clears the workflow backlog and gives specialists more time for the work only they can do. Start with one workflow, build in routes to a person, and define who reviews exceptions and can step in. Our AI consulting service is built to help with that first decision.
The goal is less time navigating administration and more time on the diagnoses and conversations that matter to patients.
What can AI do for pathology and diagnostic services?
AI can support specimen tracking, worklist prioritisation, digital slide analysis, report drafting and turnaround monitoring, with pathologists and scientists reviewing the output.
Will AI replace pathologists?
No. Diagnosis depends on professional expertise and judgement. AI is there to reduce repetitive work and help prioritise cases, while clinicians make the decisions.
Where should a diagnostic service start with AI?
Pick one workflow, such as request triage or turnaround monitoring, and check it for value, feasibility and readiness. Run a small pilot with a named owner and measure turnaround, rework, staff time and clinician feedback.
How should a laboratory oversee AI-assisted workflows?
Decide who monitors each workflow, reviews exceptions and can intervene. Pathologists and scientists should be able to question, correct and override suggestions within their role.
Can referring clinicians still speak to a person?
They should always have a clear route to a pathologist or team member. A bespoke workflow can arrange a call or route a query to the right specialist.
Does AI need to connect to our laboratory information system?
In most cases, yes. A tool that does not connect to your core systems creates duplicate entry, so integration should be part of the plan from the start.
