Unlocking Exam Automation: OCR for Medical Prescriptions
Last update:
April 2, 2025
5 minutes
AI automates prescription processing—reading, extracting, assigning exams—saving time for medical teams and improving patient care.
Medical Prescription Management: An Ongoing Challenge
In healthcare facilities, managing medical prescriptions remains a real daily challenge. Behind a single sheet prescribing an exam lies a series of checks, searches, and data entries — often carried out manually.
The result? A heavy, repetitive process that is above all time-consuming.
As healthcare professionals face a constant increase in patient volume and growing demands for speed and accuracy, the administrative handling of prescriptions remains one of the least optimized links in the care pathway.
But this doesn’t have to be the case. Solutions now exist to automate these tasks and free up time for what truly matters: patient care.
The Wide Range of Medical Tests

Each laboratory, imaging center, or healthcare facility uses its own exam nomenclature. There are hundreds of types of medical exams, categorized by specialty, technology, or internal protocol.
The most common include:
- Laboratory tests: blood panels, urine analyses, hormone tests…
- Medical imaging: X-rays, MRIs, CT scans, ultrasounds…
- Specialized procedures: electrocardiograms, endoscopies, functional tests…
This heterogeneity makes prescription assignment significantly more complex. The process requires a certain level of understanding and is still carried out manually by medical administrative staff.
Secretaries must decipher each prescription, identify the exact exam being requested, and match it with the appropriate label or code in their system.
Automating the link between a prescription and the correct exam code would help prevent interpretation errors, omissions, and duplicate entries in the care process.
The Impact on Quality of Care
Manual processing of medical prescriptions leads to a loss of efficiency in healthcare services. In France alone, tens or even hundreds of millions of prescriptions are still handled manually!
This results in longer processing times, delays in exam scheduling, disruptions in appointment planning, and slower patient care.
Such a lack of workflow efficiency directly impacts the patient experience and puts additional strain on medical teams, who are overwhelmed by low-value administrative tasks.
Automating Medical Workflow with IDP
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The digital transformation of the healthcare sector now hinges on the integration of advanced technologies like Intelligent Document Processing (IDP).
These smart automation solutions are revolutionizing how medical practices and diagnostic labs operate by enabling fast, accurate, and secure processing of large volumes of documents.
Powered by artificial intelligence, next-generation IDP solutions can automatically extract and analyze key information from a wide range of medical documents — prescriptions, reports, treatment forms, and administrative paperwork. This drastically reduces manual work, minimizes human error, and improves access to critical data.
IDP makes it possible to automate repetitive processes such as:
- Reading and analyzing handwritten or scanned prescriptions,
- Extracting relevant medical data (patient name, medication, dosage, date, prescribing physician, etc.),
- Verifying the completeness and compliance of prescriptions,
- Intelligently indexing and archiving prescriptions,
- Detecting duplicate or anomalous entries, and above all,
- Assigning the correct medical exams to each prescription based on a customized nomenclature!
The Koncile Solution
A modern IDP solution, designed for medical practices.

Faced with these challenges, Koncile offers an Optical Character Recognition (OCR) solution enhanced with embedded AI—an out-of-the-box, customizable, and intelligent tool.
Koncile’s OCR for medical prescriptions is specifically designed to quickly organize and process key information from prescriptions. It extracts critical data such as:
- Patient name,
- Physician name,
- Physician ID,
- Prescribed treatments or tests,
- Dosage instructions,
- And even detects inconsistencies or errors.
This data can then be analyzed, validated, cross-checked, and integrated into internal management systems to automate downstream processes such as sorting, billing, test preparation, appointment reminders, and more.
But most importantly, our technology is designed to intelligently suggest one or more relevant medical tests to associate with each prescription, based on a customized exam nomenclature.
Koncile goes far beyond simple prescription digitization.
It understands and interprets the content to automatically match each prescription with the appropriate exam, even in complex environments where hundreds of unique exam types may exist.
This crucial step, once automated by Koncile, facilitates the smooth integration of prescriptions into digital healthcare workflows and their alignment with the correct test pathways
The solution eliminates the need for manual searches within complex nomenclatures, thereby enhancing the speed and efficiency of medical office staff, reducing the risk of human error, and streamlining time-consuming administrative tasks.
As a result, administrative teams can concentrate on higher-value activities while patients benefit from faster and more reliable services.
By connecting each prescription to a concrete and validated action, IDP solutions like Koncile provide a practical response to the operational efficiency challenges faced by healthcare organizations.
Resources
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Learn how IDP transforms document management with OCR, AI, and ML—benefits, use cases, and differences from traditional OCR.
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Explore 2025’s top 10 open-source OCR tools like Tesseract or EasyOCR to convert printed text into digital data for all use cases.
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Tesseract is a top open-source OCR, but is it still best in 2025? Let’s review its pros, cons, and alternatives.
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