BeevR Technologies | Secure Custom Software, AI & ESG Solutions

AI Telehealth Elevates Clinical Notes

Customer infomation

US customer

Our customers were the US-based clinics and telehealth provider who sought advanced technological solutions. They were looking to streamline patient data management, optimize clinical workflows, and ensure rigorous compliance with healthcare security standards like HIPAA.

Requirement

1. Requirement

1.1. Purpose

The project aimed to build a multi-tenant EHR platform for a US customer who operated several US-based clinics. The platform was developed based on microservices and serverless methodologies, and it was deployed and operated in AWS. A key objective was to ensure that each clinic was assigned a dedicated tenant, providing isolation in terms of infrastructure, feature list, data storage, and third-party integration.

1.2. Detail Requirement

The platform was built with a comprehensive set of features, addressing key operational needs:

HIPAA Compliance: The platform fully complies with HIPAA standards, ensuring patient data security and privacy.
Automated Tenant Provisioning: It features infrastructure-as-code tooling for seamless and rapid provisioning of new clinic tenants.
Comprehensive Profile Management: The system manages clinic, provider, and patient profiles efficiently.
FHIR-Compliant EHR Management: Patient Electronic Health Records (EHR) are managed under the FHIR standard, promoting interoperability and data consistency.
Dynamic Clinical Note Templates: Technical operators can design and manage dynamic clinical note templates. Providers, in turn, are able to select the most relevant template during examination sessions.
Complete Healthcare Service Lifecycle Management: The platform manages the entire lifecycle of a healthcare service, from collecting diagnostic and image data to handling prescriptions and re-examinations.
Robust Third-Party Integrations: It integrates with other healthcare service providers via API and SOAP methods, including DrFirst, Kareo, pharmacy providers, and diagnosis labs.

2. Customer Problems

Fragmented, inefficient patient data management
Lack of effective clinical note oversight and quality control
Manual, time-consuming third-party integrations

Tech Stack

1. Programming Language

Javascript
Python
Java
Go

2. Framework

Nodejs
Spring
Panda and Numpy

3. Third Party

Dr First: another EHR solution provider
Kareo: Health care billing service
Lab Order

4. Database

MySQL (Version 8)
Elastic search (Version 8.10.4)
Prometheus
Redis

Success factor

1. Challenge

Healthcare is a challenging domain, particularly in the US due to stringent compliance. Our customer required a system fully compliant with HIPAA standards

Must comply with HIPAA standards.
Each tenant is separated in terms of infrastructure and data storage, with subscribed functionalities and the ability to update new features and software versions on demand.

2. How to resolve these challenges

Security-First & Robust Isolation: We adopted a "security-first" methodology from day one, with a dedicated security team and periodic HIPAA-based reviews. Critically, we ensured each tenant was fully isolated in terms of infrastructure and data, while allowing on-demand feature updates.
Agile Development & Scalable Architecture: We conducted detailed requirement scoping and designed the platform using microservices and serverless methodologies, decomposing it into 25 sub-modules. This enabled quick, responsive releases to actively incorporate customer feedback.
Proven Success: Through these strategies, we successfully delivered the platform. It currently serves four US clinics and 300 patients daily, with our customer planning further expansion. BeevR actively contributes to this success via an ODC model.

Deliverables

Source code

API Documentation

System migration and data conversion

Database Diagrams and Data Dictionary

System Deployment

Test Cases and Test Report Documents

Training Materials (End User and System Admin)

Screenshots

1. Dashboard