Upgrading a software for the
tissue scanner with hi-rez scans
Client Background
Getplume is a telemedicine project that provides gender-affirming care from home. It is the largest healthcare provider to the trans and nonbinary community in the US.
The product is represented as a combination of white-label solutions and automated integrations between them to establish comprehensive clinical workflows.
The project is represented by the following white labels:
Healthie – Patient Portal
Elation – EHR platform
Apero – the platform for insurance eligibility checks
Freshdesk – the ticketing system that is used by the Care Team to support patients
Freshchat – the messaging platform integrated into Healthie that allows patients to communicate with the Care Team on the Patient Portal
Challenge
The core challenge faced by GetPlume was supporting diverse white-label solutions and establishing automated workflows among them, ensuring a seamless, efficient, and user-friendly experience for the care team and the patients. This complexity was further compounded by the need for precise billing systems and comprehensive data analytics to drive informed decision-making.
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Solution
The Glorium team is represented by the following roles:
Product Management – responsible for the Billing projects and enabling sound accounting practices through the development of Plume DTC billing system. Also, this team is responsible for the Patient Portal configurations.
QA Team – supports Plume engineering teams by ensuring the quality of developed automations
Data Team – helps Plume with transforming available data into valuable dashboards that consist of important business metrics
Business Value
Informed decision-makingThe facilitated data-driven decisions, aligning operations closely with organizational goals.
Operational efficiencySeamless integration and automation reduced manual intervention, significantly speeding up clinical workflows.
Enhanced user experienceThe streamlined processes enhanced patient engagement and satisfaction.
Tech Stack:
AWS
Python
BigQuery
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