The Problem
The original workflow required staff to search for patients, check or create appointments, move through multiple chart sections, repeat data entry, upload forms, and report the outcome to another system.
Different patient types required different processing paths. The workflow also depended on external data, browser verification, dynamic UI states, and reliable continuation after partial failures.
Repetitive navigation
Scheduling, chart entry, profile updates, and document handling required repeated movement through a dynamic EHR interface.
Multiple patient paths
New, existing, and appointment-based patients did not follow one identical sequence.
Authentication interruptions
Browser verification and OTP-style prompts could interrupt long-running sessions.
Batch-level risk
Without patient-level isolation, one incomplete record could stop the entire processing queue.
The Solution
1. Load and validate the queue
Patient records are loaded from JSON or retrieved through the backend API. Invalid or incomplete records are isolated before browser entry begins.
2. Route the patient workflow
The processing layer distinguishes new, existing, and appointment-based patients so each record follows the appropriate sequence.
3. Schedule and update Practice Fusion
The system searches for the patient, checks existing appointments, fills scheduling fields, and updates the required chart and profile sections.
4. Handle documents and integrations
Generated PDF forms can be downloaded from the backend and uploaded to the appropriate patient chart workflow, while statuses and relevant data are synchronized through APIs.
5. Record outcomes and continue
Successes and failures are logged at patient level. Failed items can be reviewed or rerun without discarding the rest of the queue.
Queue-driven orchestration
A persistent processing loop loads, validates, routes, completes, and records each patient job.
Defensive browser automation
Explicit waits, state checks, fallback selectors, and profile cleanup handle changing UI conditions.
API-connected workflow
Backend retrieval, document download, status updates, and data exchange keep the browser workflow connected to operational systems.
Recoverable exceptions
Separate error records, logs, screenshots, and liveness tracking make incomplete work visible and rerunnable.
Key Features
These were the standout elements that made this solution effective.
Loads patient batches from JSON or API sources and routes each supported patient type.
Searches patients, checks appointments, and fills provider, appointment type, duration, date, and time.
Populates supported clinical, demographic, pharmacy, insurance, guarantor, and care-team fields.
Retrieves generated PDF forms and uploads them into the appropriate patient chart workflow.
Maintains logs, statuses, error queues, browser recordings, and a liveness heartbeat.
Tech Stack
Let’s Build Your Idea!
Inspired by the success of Practice Fusion Automation for Patient Scheduling & Chart Intake? Let's talk.