Nanoori Hospital — a patient-satisfaction and VOC reporting platform
Nanoori Hospital · Quarterly hand-built satisfaction reports replaced by a dashboard that aggregates the moment data is uploaded
Quarterly → live
aggregates on upload
Report cadence
AI
adopted after model comparison
VOC classification
Per branch
with audit log
Access
with notifications
Report output
Overview
An internal platform managing patient-satisfaction surveys and voice-of-customer (VOC) entries across a multi-branch hospital. Uploaded survey results aggregate by branch and department automatically; VOC entries are AI-classified and routed to owners, with PDF reports and notifications.
Challenge
Every quarter, spreadsheets were gathered and a report of dozens of pages built by hand, with each branch using a slightly different template. VOC classification varied by person, so it was unusable as statistics. Hospital data demanded strict permissions and audit trails.
Solution
Per-branch template differences are absorbed by mapping configs, so any file aggregates on one standard. For VOC, an evaluation screen compares several AI models on the same data and the most accurate one is adopted. Branch-level access, audit logs, automatic backups and PDF export make it ready for the operations team.
Strategy
Dissect the report
Aggregation rules were defined so the existing quarterly tables could be reproduced exactly.
Absorb template drift
Per-branch mapping configs aggregate any file on one standard.
Validate AI
An evaluation screen compares models on the same VOC set so the choice is evidence-based.
Operational safety
Permissions, audit logs, automatic backups and a staging environment protect hospital data.
Execution
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