Transforming Inpatient Discharge Workflows with AI
A leading hospital chain in South India partnered with CIS to develop and implement Saransha, an AI-powered platform designed to transform fragmented clinical information into structured, review-ready discharge summaries. The solution streamlines the inpatient discharge process while keeping doctors at the center of clinical review and finalization.
The Challenge
Preparing discharge summaries can involve gathering information from multiple formats and sources, including clinical notes, documents, images and voice-based inputs. This fragmented process can create administrative overhead for clinical teams and consume valuable physician time.
The hospital required a solution that could capture diverse clinical information, intelligently structure it and accelerate discharge documentation while maintaining appropriate role-based controls and physician oversight.
Our Solution
CIS developed Saransha, combining AI-assisted processing with a role-based hospital workflow. The platform enables:
- Multi-format clinical capture through voice narration, text, documents and images
- AI-powered OCR and speech-to-text processing
- Clinical information extraction, structuring and validation
- AI-generated, review-ready discharge summaries
- Role-based workflows for different hospital stakeholders
- Doctor review and final discharge summary approval
- A structured workflow connecting clinical information capture through to finalization
Role-Based Hospital Workflow
The platform supports a coordinated workflow across:
Receptionist → Nurse → Discharge Coordinator → Doctor → Super User
Each stakeholder receives role-specific access and contributes at the appropriate stage of the IPD discharge process, creating a controlled and structured workflow.
Impact
The platform has progressed to a paid proof of concept with a leading South India hospital chain, demonstrating its potential to significantly streamline discharge documentation.
Most notably, the solution is designed to save 2,000+ doctor hours per month, allowing physicians to spend less time on administrative documentation and more time focused on patient care.
Business Value
Saransha demonstrates how AI can be applied to healthcare workflows without removing human oversight. By combining multi-format clinical capture, purpose-built AI processing and doctor-led finalization, CIS is helping create a faster, more structured and efficient IPD discharge process.
From fragmented clinical information to structured, review-ready summaries—Saransha brings intelligence and efficiency to the hospital discharge workflow.
