The short answer: published trials put the saving at somewhere between a few minutes and an hour a day per person, depending on the job and how well the tool is set up. In a clinic, the biggest wins are usually in documentation and patient enquiries, not in clinical work. The bigger question is not whether AI saves time, but whether it saves time on the jobs that are actually eating your team's week.
of a doctor's office day went on computer and desk work, against 27% face to face with patients. That is nearly two hours of desk work for every hour of patient care.
Source: Sinsky et al., Annals of Internal Medicine, 2016Where does a clinic's time actually go?
In most private clinics the hours disappear into the same handful of jobs: answering the same enquiries by phone and email, retyping lab results, summarising referral letters, chasing forms and consent, writing insurer reports and following up after treatment. None of it is clinical. All of it has to be done, and done carefully. That is exactly the kind of work where AI has the strongest evidence behind it.
What have the biggest AI trials found?
saved per person per day, on average, when over 20,000 UK civil servants used an AI assistant for three months. Over a working year, the government estimated that adds up to nearly two weeks each.
Source: GOV.UK, Government Digital Service, June 2025The trial covered drafting documents, summarising long emails, updating records and preparing reports. Swap the job titles and that is a fair description of a clinic's front desk and back office. It is not a healthcare study, but it is one of the largest real world trials of AI at work, and it was run in the UK.
hours of documentation time saved in a year across 7,260 doctors using AI scribes, the equivalent of 1,794 eight hour working days. 47% of patients surveyed said their doctor spent less time looking at the computer.
Source: The Permanente Medical Group, NEJM Catalyst, via AMA, June 2025of clinicians in an NHS pilot of ambient voice technology reported less time spent on documentation, with over half saving 30 minutes or more each day.
Source: Oxford University Hospitals NHS FT, February 2026Ambient scribes, which listen to a consultation and draft the notes for the clinician to check, are now common enough that NHS England has published guidance on AI enabled ambient scribing products (opens in a new tab). It is worth reading before any clinic adopts one.
Does AI help everyone equally?
more customer queries resolved per hour when 5,000+ support agents were given an AI assistant, rising to 34% for new and less experienced staff, with minimal change for the most experienced.
Source: Brynjolfsson, Li and Raymond, NBER, 2023That pattern matters for clinics. The biggest gains often go to newer reception staff, because the AI carries the clinic's knowledge for them: the prices, the preparation instructions, the right aftercare sheet. Your most experienced people may save less time, but they get consistency across the team.
What could that mean in hours for a clinic?
| Role | Where AI helps | Example target |
|---|---|---|
| Reception | Enquiry replies drafted, inbox sorted, reminders written | 30 minutes a day |
| Clinicians | Referral summaries, letters drafted for sign off | 30 minutes a day |
| Practice manager | Policy questions, weekly reports, rota drafts | 2 hours a week |
| Billing | Insurer reports, payment reminders | 1 hour a week |
Targets like these should come from a measured baseline, not a sales deck. The clinician target above is in line with what the Oxford pilot reported, but every clinic is different, and some jobs are better fixed by changing the workflow with no AI at all.
Why do some clinics see no saving at all?
Averages hide a wide spread. When AI is bought rather than set up, the saving tends to stay theoretical. The usual reasons are easy to spot.
- The tool knows nothing about the clinic: no prices, templates or policies loaded in
- Staff were never shown how to use it well, or how to check its work
- It was pointed at the wrong jobs, often the visible ones rather than the time consuming ones
- Nobody is sure what patient data can go in, so nobody uses it
How should you measure it?
- Record a baseline week: how long the top five admin jobs actually take
- Pick no more than three jobs to start with
- Measure the same jobs again after four to six weeks
- Count hours, not opinions, and check quality as well as speed
- Keep a person approving anything clinical or patient facing
We set out the whole approach on our AI integration page, and the Claude specialists at Hizmedia Intelligence (opens in a new tab) can run the audit for you. If lab reports are your biggest drain, start with rewriting lab reports by hand vs automating it.
Frequently asked questions
In the UK government's trial, civil servants using an AI assistant saved an average of 26 minutes a day. In an NHS pilot of AI scribes, nearly 90% of clinicians reported less documentation time, with over half saving 30 minutes or more a day. Results depend heavily on the task and on how well the tool is set up.
Documentation and enquiries: summarising referral letters, drafting letters for sign off, pulling results out of lab PDFs, and drafting replies to common patient questions. Clinical decisions stay with clinicians.
That is not the aim and not what the evidence shows. AI tends to take the repetitive part of the job, which gives reception more time for patients in front of them and for the calls that need a person.
Measure a baseline week before you change anything, then measure the same jobs again after a few weeks. Report hours saved against targets, and check quality, not just speed.
Sources
- 1.Sinsky et al., Allocation of Physician Time in Ambulatory Practice, Annals of Internal Medicine (2016)
- 2.GOV.UK: Landmark government trial shows AI could save civil servants nearly 2 weeks a year (June 2025)
- 3.AMA: AI scribes save 15,000 hours and restore the human side of medicine (June 2025), reporting NEJM Catalyst
- 4.Oxford University Hospitals NHS FT: ambient voice technology pilot (February 2026)
- 5.NHS England: Guidance on the use of AI enabled ambient scribing products in health and care settings
- 6.Brynjolfsson, Li and Raymond, Generative AI at Work, NBER Working Paper 31161 (2023)
Find out where AI could give your clinic hours back.
AI work at Hizmedia is delivered by Hizmedia Intelligence, our AI consultancy. Start with a time audit: we measure where your team's hours go and set real targets before you spend anything.
Related service: AI Integration for clinics