Images disconnected from patient workflow
Images and reports often sit separately from visit notes, follow-up plans, and counselling records.
DeeponVision cloud workflow layer
Cloud-first workflow software for modern eye clinics
DeeponVision helps ophthalmology clinics move beyond basic image storage by connecting patients, visits, uploaded eye images, AI-assisted screening summaries, doctor review, PDF reports, WhatsApp-ready follow-ups, and cataract counselling in one secure SaaS platform.
AI outputs are screening support only. Final diagnosis is always made by the ophthalmologist.
Cloud-first workflow
Doctor review required
WhatsApp-ready follow-ups
Cataract counselling
AI provider flexible
Clinic workflow
One connected patient journey
1
Patient and visit context
2
Private ophthalmic files
3
AI-assisted summary
4
Doctor review and report
5
Follow-up and counselling
The operational gap
Traditional imaging workflows stop too early
Many eye clinics can capture or store images, but the real operational challenge starts after the image is captured: linking it to the patient journey, documenting the visit, reviewing findings, generating reports, counselling patients, and ensuring follow-ups happen on time.
Doctor review is not workflow-driven
Clinical review, comments, and final reports are often handled manually across disconnected tools.
Follow-ups are easy to miss
Diabetic eye checks, glaucoma reviews, cataract post-op visits, and retina follow-ups need structured reminders.
Counselling is not tracked
Cataract lens options, package estimates, patient questions, and counselling status are often managed outside the imaging workflow.
Local systems limit team access
Workstation-based workflows can make collaboration harder for doctors, technicians, staff, and counsellors.
AI is not connected to operations
AI summaries are useful only when they fit into doctor review, reporting, consent, and patient communication workflows.
Workflow advantage
From device-first image storage to clinic-first workflow
DeeponVision is designed as the workflow layer around ophthalmic images — helping clinics connect imaging, documentation, review, reporting, follow-up, and counselling.
Area
Traditional image-management workflow
DeeponVision cloud workflow layer
Primary focus
Traditional workflowImage capture, image viewing, and local image storage
DeeponVisionPatient journey, visits, uploaded images, AI-assisted summaries, reports, follow-ups, and counselling
Deployment
Traditional workflowOften tied to local workstations or device-specific setups
DeeponVisionBrowser-based SaaS workflow for clinic teams
Patient context
Traditional workflowImages may be managed separately from full clinic workflow
DeeponVisionImages connect to patient profile, visit timeline, findings, treatment plan, and follow-up
AI workflow
Traditional workflowMay be vendor-specific or separate from clinic operations
DeeponVisionProvider-flexible AI-assisted screening support with doctor review required
Doctor control
Traditional workflowReview workflow may depend on manual processes
DeeponVisionDoctors approve, reject, or modify AI-assisted summaries before patient-facing reports
Patient communication
Traditional workflowUsually not built around WhatsApp-ready follow-up workflows
DeeponVisionPDF reports, post-op instructions, reminders, and counselling summaries can be prepared for patient communication
Cataract workflow
Traditional workflowCounselling and package discussion often happen separately
DeeponVisionBuilt-in cataract counselling, lens options, cost estimates, post-op instructions, and counselling status
Team collaboration
Traditional workflowCan be limited by local access patterns
DeeponVisionRole-based access for clinic admin, doctors, technicians, staff, and counsellors
Future readiness
Traditional workflowOften tied to specific device ecosystems
DeeponVisionDesigned for future DICOM, FHIR, PACS, device export imports, and licensed medical AI APIs
DeeponVision can complement existing ophthalmic imaging systems by adding a cloud workflow layer around patient records, uploaded files, doctor-controlled AI review, reports, follow-ups, and counselling.
Connected operations
Why clinics choose a workflow layer
Connect every image to a visit
Uploaded fundus images, OCT reports, slit-lamp photos, visual field files, and other reports stay connected to the patient’s visit timeline.
Keep doctors in control
AI-assisted summaries remain draft screening support until a doctor reviews, modifies, approves, or rejects them.
Turn review into reports
Generate professional PDF visit reports and AI screening summaries with clinic branding, doctor comments, and safety disclaimers.
Automate follow-up workflow
Track diabetic eye checks, glaucoma reviews, retina follow-ups, contact lens reviews, and cataract post-op reminders.
Improve cataract counselling
Manage cataract type, lens options, package estimates, patient questions, pre-op checklists, and post-op instructions.
Prepare for future integrations
Architecture is ready for DICOM uploads, device export imports, PACS/FHIR integrations, and licensed medical AI providers.
Patient journey
Complete workflow after the image is captured
- 1
Register patient
Create patient profile, history, consent, and clinic-specific records.
- 2
Create visit
Record vision, IOP, refraction, slit-lamp findings, fundus notes, diagnosis, treatment plan, and follow-up.
- 3
Upload image or report
Add fundus images, OCT files, slit-lamp images, visual field reports, IOP charts, and PDFs.
- 4
Run AI-assisted screening support
Generate structured screening summaries using the selected AI provider.
- 5
Doctor reviews
Doctor approves, rejects, or modifies AI-assisted output before final use.
- 6
Generate PDF and communicate
Create visit reports, counselling PDFs, and WhatsApp-ready follow-up communication.
Imaging system friendly
Designed to work around existing imaging systems
DeeponVision does not replace ophthalmic cameras, OCT devices, slit-lamp cameras, visual field machines, or clinical imaging devices. It helps organize the clinic workflow around the images and reports those systems produce.
Upload-based today
Start by uploading exported images, reports, PDFs, and DICOM files into patient visits.
Integration-ready tomorrow
Planned architecture supports future DICOM, device export import, PACS, FHIR, and external medical AI integrations.
Workflow-first always
The focus stays on patient journey, doctor review, reports, follow-ups, and counselling.
Clinical accountability
Human-in-the-loop AI by design
DeeponVision treats AI output as draft screening support. It must be reviewed by a qualified ophthalmologist before it is used in patient-facing reports or clinical decisions.
DeeponVision provides AI-assisted workflow and screening support only. It does not provide final medical diagnosis. All clinical decisions must be made by qualified healthcare professionals.
- ✓AI-assisted summaries only
- ✓Doctor review required
- ✓Patient consent for external AI providers
- ✓Audit logs for sensitive actions
- ✓Clinic-wise data isolation
- ✓AI does not make final clinical decisions
Ready to move beyond image storage?
Bring patient records, visits, uploaded eye images, AI-assisted summaries, doctor review, PDF reports, WhatsApp-ready follow-ups, and cataract counselling into one cloud-first ophthalmology workflow platform.