Ophthalmology is a department that not only sees a large number of outpatients but also includes many clinics that perform surgery, starting with cataract surgery. Every surgery requires a surgery explanation and consent form, and before and after surgery come replies to referring physicians, referral letters to other hospitals, and medical certificates for insurance companies. Many ophthalmologists likely feel that "documents" before and after the consultation take more of their and their staff's time than the consultation itself. This article explains how to create ophthalmic surgery explanations, consent forms, and referral letters with AI and reduce the documentation burden.
Why documentation work becomes heavy in ophthalmology
Ophthalmic documentation tends to swell because the following circumstances overlap.
- Many surgeries: For high-volume procedures such as cataract surgery, preparing explanations and consent forms becomes daily work
- Documents split by eye: When the right and left eyes are operated on on different days, consent forms and records are needed for each eye
- Pre-, intra-, and post-operative records are continuous: A connected series of records must be managed, from surgery booking to post-operative checkups
- Many partner institutions: Replies to referring internists and practitioners, and referral letters to other hospitals for procedures such as vitrectomy, occur frequently
- Requests for medical certificates: Requests come in for surgery certificates for insurance companies and certificates related to driving licenses or employment
All of these documents are built from information written in the chart (diagnosis, examination values, surgical details, and course). Yet when they are transcribed from scratch into separate word-processing software or paper forms, the effort of transcription and the risk of errors arise at the same time.
Basics of surgical explanation and consent
Explaining surgery and obtaining consent is not a mere administrative procedure. Japan's Medical Care Act requires healthcare providers, when providing care, to endeavor to give appropriate explanations and obtain the understanding of those receiving care (Article 1-4, Paragraph 2). In ophthalmic surgical explanations, it is generally important to convey the following in a form the patient can understand.
- The diagnosis and current condition (which eye, degree of progression)
- The purpose and method of surgery, and the anesthesia method
- Expected effects and limitations (e.g., glasses may still be needed after cataract surgery)
- Possible complications, their frequency, and how they are handled
- The outlook without surgery and other options
- The post-operative visit schedule, eye drops, and precautions in daily life
What matters here is that a document is both a "record of the explanation" and an "aid to the explanation." In ophthalmology, where many patients are elderly, an explanation written clearly for the patient's condition earns understanding more easily than a uniform document full of technical terms.
How to think about creating documents with AI
Document creation with generative AI can greatly reduce the time spent writing from scratch, but misuse creates the risk of incorrect entries. When using AI for ophthalmic documents, it is important to observe the following principles.
- AI creates the "draft"; the physician finalizes it: Final confirmation of content and responsibility lie with the physician, and AI output is never submitted as-is
- Start from chart data: Have the AI cite diagnoses, examination values, and surgical details from the chart rather than writing by guesswork
- Always visually check laterality and numbers: Mixing up R/L or incorrect values are especially serious errors in ophthalmic documents
- Do not enter patient information into general-purpose AI: Documents containing patient information should be created in an environment with safety management designed for healthcare
For where to draw the line between what to entrust to AI and what people handle, see Where to Draw the Line on Delegating Work to AI. See also Creating Medical Documents with Generative AI for the broader approach, and AI Document Creation: Building Templates and Generating from Them for template design points.
Connecting surgery management and document creation
What is often overlooked in streamlining document creation is the link with "surgery management." When surgery booking, pre-operative examinations, surgical records, and post-operative checkups are managed separately, you end up hunting for information every time you create a document.
Conversely, when everything from surgery booking to pre-, intra-, and post-operative records is managed as a single flow, the planned procedure and target eye carry over naturally into the consent form, and the surgical details and post-operative course into the reply letter. For surgeries such as cataract surgery, where checkups take place at set times—post-operative day 1, week 1, and month 1—building this flow in advance prevents gaps in records and documents.
Streamlining ophthalmic documentation with AI Karte
"AI Karte," developed by Pottech, is an AI-native electronic chart designed with AI as a premise. For ophthalmology, it provides features that handle surgery management and document creation on a single foundation. See the AI Karte Ophthalmology page for details.
- AI auto-drafting of ophthalmic documents: AI automatically drafts ophthalmic documents such as referral letters, medical certificates, surgery explanations, and consent forms. Templates can be customized to support each clinic's own formats
- Surgery management and consent forms: Surgery booking, pre-, intra-, and post-operative records, and PDF generation of explanation and consent forms can be managed centrally
- Cataract clinical pathway: Examinations and procedures for surgery → post-operative day 1 → day 7 → month 1 are expanded automatically, preventing gaps in post-operative management
- Personalized patient explanations: The AI assistant supports writing explanations tailored to each patient
- Linked to examination data: Eleven types of examination values—including visual acuity, refraction, intraocular pressure, corneal curvature, and OCT—are recorded as history by eye, and chart data can be referenced when creating documents
Of course, what the AI creates is only a draft. On the premise that the physician confirms and finalizes the content, the idea behind streamlining documentation with AI Karte is to replace "time spent writing from scratch" with "time spent checking and refining." For the overall picture of why AI Karte excels in ophthalmology, see Why AI Karte Suits Ophthalmology.
In closing
Ophthalmic documentation grows in proportion to surgical volume and the number of partner institutions. As long as documents are treated as "separate work," that burden will not shrink. By connecting the chart, surgery management, and document creation on the same foundation—letting AI handle drafts while physicians focus on review—physicians and staff can regain time to spend with patients.
Through the provision of AI Karte, Pottech serves as the optimal business partner for clinics—supporting not only better working conditions for physicians, nurses, and medical clerical staff, but also helping clinics achieve to the fullest what they want to accomplish.
For details, please do not hesitate to contact us.