100 Letters a Day. 36,500 a Year. All Processed Manually.
An average size GP practice with 10,000 patients receives 100 letters a day, totalling 36,500 letters a year. These include:
- Referral letters
- Hospital discharge summaries
- Specialist clinic letters
- 111 Reports
- A&E Reports
- Investigation results
Each document requires manual coding, labelling, dating, and filing -- a time-consuming process prone to human error and delays.
| Letter Date | Patient | Type | Document Title |
|---|---|---|---|
| 01-Oct-2024 | Bertie Bangers | Clinical Document | No Title |
| 01-Oct-2024 | Penny Farthing | Clinical Document | No Title |
| 01-Oct-2024 | Chester Cheddar | Clinical Document | No Title |
| 01-Oct-2024 | Molly Muddle | Clinical Document | No Title |
| 01-Oct-2024 | Nigel Nibbles | Clinical Document | No Title |
| 01-Oct-2024 | Fiona Fishcake | Clinical Document | No Title |
| 01-Oct-2024 | Graham Gravy | Clinical Document | No Title |
| 01-Oct-2024 | Daisy Doodle | Clinical Document | No Title |
| 01-Oct-2024 | Colin Crumpet | Clinical Document | No Title |
| 01-Oct-2024 | Wendy Wobble | Clinical Document | No Title |
The Solution
An intelligent system combining Robotic Process Automation (RPA) with OpenAI's GPT-4o language model, hosted on Microsoft Azure UK data centres, to automate and enhance the processing of clinical documents.
- Accurate Date Identification RPA extracts the correct letter date from each document.
- SNOMED CT Coding Automatically matches document types with standardised clinical codes for consistent categorisation.
- AI-Generated Titles GPT-4o generates precise, meaningful document titles from letter content -- hosted on Azure UK for data residency.
- Secure & Private Operates within our own HSCN connection. Data processed in Azure UK data centres -- never leaves the country.
- Available 24/7-365 Can process ~1,000 letters per day with no breaks needed.
Every Document Coded, Titled, and Filed Automatically
After ApolloIQ processes your inbox, every document has the correct date, a meaningful title generated by AI, and a proper SnomedCT code -- ready for clinical review.
| Letter Date | Patient | Specialty | Document Title |
|---|---|---|---|
| 30-Sep-2024 | Bertie Bangers | Discharge Summary | Accidental fall, Lower respiratory tract Infection, Pleural Effusion |
| 30-Sep-2024 | Penny Farthing | Gastroenterology | Barrett's Metaplasia |
| 30-Sep-2024 | Chester Cheddar | Endocrinology | Normal Calcium and Vitamin D Levels |
| 27-Sep-2024 | Molly Muddle | Gastroenterology | No concerning features found in oesophagus samples |
| 01-Oct-2024 | Nigel Nibbles | Urology | Overactive Bladder |
| 26-Sep-2024 | Fiona Fishcake | Rheumatology | Rheumatoid Nodule on MCP2 |
| 30-Sep-2024 | Graham Gravy | Neurology | Seizure Disorder |
| 24-Sep-2024 | Daisy Doodle | Medical Oncology | 75 mm grade 3 leiomyosarcoma of the colonic splenic flexure |
| 26-Sep-2024 | Colin Crumpet | Obstetrics and Gynaecology | Incomplete Miscarriage Management |
| 18-Sep-2024 | Wendy Wobble | Seen in Maxillofacial Unit | Medication-Related Osteonecrosis of the Jaw |
Calculate Your Practice's Savings
processing manually
with manual processing
with ApolloIQ
365 days a year
Manual Processing Costs
- Direct labour: 866 hrs x £11.48/hr = £9,950
- Employer NI contribution: £887
- Employer pension contribution: £1,516
- Temporary staff/holiday cover: £1,500
- Total annual manual cost: £13,852
Automated Processing with ApolloIQ
- Cost: £0.30 per patient per year
- 10,000 patients x £0.30 = £3,000/year
- Processes 36,500 letters/year (365 days) vs 26,000 manually (230 working days)
- No NI, pension, holiday, sick leave, recruitment, or training costs
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Manual Processing vs ApolloIQ
Getting Started is Simple
Book a Demo
See the system in action with a live walkthrough tailored to your practice. We'll show you exactly how documents are processed and answer any questions.
Schedule your demo →Trial Period
Start with a pilot period to experience the impact on your workflow before committing. No risk, no obligation.
Go Live
Full deployment typically takes less than a week. Our team handles the technical setup -- your admin team just carries on as normal.
Why Practices Choose ApolloIQ
NHS-Focused
Built specifically for UK general practice workflows and EmisWeb integration.
Proven ROI
Practices save an average of 4.6x compared to manual processing costs.
Zero Disruption
No changes to clinical workflows. Admin staff are freed up, not replaced.
DCB 0129 Certified
Full clinical safety case with hazard log and risk management documentation.
Why You'll Love It
Our Clinical Document Management system integrates seamlessly into your practice's existing workflow. Here's why you'll love it:
- Zero Delays Eliminates mistakes, delays, and queues of unprocessed letters.
- Better Prioritisation Administrative teams can prioritise tasks effectively.
- Enhanced Patient Care Quicker turnaround times and enhanced patient care.
- Always Available Available 24/7-365 -- no breaks, no holidays, no sick leave.
Automated Processing Pipeline
The system runs on a scheduled basis, processing documents through a secure, fully automated pipeline -- from login to logout -- with no manual intervention required.
Built to NHS Standards
Clinical Document Management is fully compliant with NHS clinical safety standards and operates securely within the NHS network.
Clinical Safety & Risk Management
This product has undergone a formal clinical risk management process in accordance with NHS Digital standard DCB 0129. All identified hazards have been assessed and mitigated to a level that is As Low As Reasonably Practicable (ALARP).
Identified Hazards & Controls
Potential for unauthorized individuals to access patient clinical data processed by the system, leading to data privacy breach.
A clinical document may be assigned an incorrect date, title, or specialty label, potentially leading to misidentification during clinical review.
The RPA bot may become unavailable due to software failure, infrastructure issues, or EMIS Web interface changes, causing a backlog of unprocessed documents.
The GPT-4o AI model may misinterpret document content and generate an incorrect or misleading title, potentially affecting clinical decision-making.
A document may be assigned an incorrect SNOMED CT code, leading to miscategorisation in the patient record and potential downstream coding errors.
Dependency on Microsoft Azure UK for GPT-4o processing introduces risk of service disruption if Azure experiences an outage, preventing AI title generation.
Residual Risk Evaluation
Following implementation of all control measures, the residual risk for each identified hazard has been reduced to acceptable levels. All hazards have been assessed as ALARP. The highest initial risk (H-04: Incorrect Document Classification by AI, initial score 3) has been reduced to a residual score of 1 through multiple layered controls.
Clinical Safety Officer Statement: As the appointed Clinical Safety Officer, I confirm that the clinical risk management process has been conducted in accordance with DCB 0129. All identified hazards have been assessed, and appropriate controls have been implemented to reduce residual risks to acceptable levels. The system is approved for deployment in clinical environments.
Need the Full Safety Documentation?
Request the complete Clinical Safety Case Report, Hazard Log, and Process Definition Document for your ICB or procurement process.
Questions about clinical safety? Email our Clinical Safety Officer
Simple, Transparent Pricing
No hidden fees. No complex contracts. Just straightforward pricing that saves you thousands.
- 6-month initial contract
- Then flexible month-by-month
- No setup fees
- Includes full support