85

Synapse

Synapse is a patient-controlled, centralized medical history system designed to ensure that every healthcare interaction is informed, accurate, and safe.

Use Case: Smart Patient Intake & Clinical Workflow System

Context Healthcare facilities often struggle with fragmented patient intake, manual data entry, and inefficient coordination between front desk staff, nurses, and doctors. This leads to long wait times, incomplete records, and delayed care.

The Problem

Reception staff are overloaded and cannot reliably fill detailed intake forms Patients spend unnecessary time waiting and repeating information Doctors receive incomplete or inconsistent patient data No real-time visibility into patient flow or emerging health patterns (e.g., viral outbreaks)

The Solution — Synapse A connected system that distributes responsibility intelligently across patients, staff, and doctors—reducing friction at every step.

Patient-led intake via mobile Patients complete their own intake forms instantly upon check-in using a guided mobile interface Reception dashboard for fast registration Staff verify identity, assign priority, and monitor queue status in seconds Doctor consultation workspace Structured interface for examination notes, diagnosis, test orders, and prescriptions Real-time health signals Aggregated data highlights trends like contagious outbreaks across locations

How It Works (Flow)

Patient arrives → verifies identity at the counter System triggers mobile intake → patient fills form in real-time Reception dashboard updates instantly → patient added to queue Doctor accesses complete, structured data → conducts consultation Diagnosis, prescriptions, and test orders are logged and shared across the system

Impact

Reduced patient wait times and front-desk workload Improved accuracy and completeness of medical records Faster, more informed clinical decision-making System-level visibility into patient trends and risks

My Role & Thinking

Designed end-to-end workflow across multiple user roles (patient, receptionist, doctor) Structured complex medical data into usable, intuitive interfaces Balanced speed (for staff) with clarity (for patients) Introduced system-level intelligence (real-time signals, workflow automation) Focused on scalability for multi-location healthcare environments