Fast and accurate cloud-based dictation with AI
The project started in March 2022 and is currently ongoing, driven by a dedicated team of six professionals. Utilising modern technologies such as .NET, Angular, and Figma, the team delivers high-quality software development and staff augmentation services under the Team as a Service (TaaS) model. The project focuses on cloud-based solutions, incorporating LeSS methodologies and real-time speech recognition to develop an advanced speech-to-text system. Key areas of expertise include Cloud & DevOps,
web development, UX/UI design, and rigorous QA & testing processes to ensure optimal
performance and user experience.
G2Speech faced three critical challenges:
- Rapid Time-to-Market
Bringing an advanced software solution to market quickly to secure early adopters and generate revenue.
- Scalability & Flexibility
Dynamically adjusting team composition to fit project needs within budget constraints.
- International Collaboration
Integrating with global development teams while maintaining efficiency and agility.
Key Features & Impact
- Clinical coding
Real-time automatic assignment of clinical codes as documents and notes are created.
- EHR compatibility
Seamless integration with major EHR systems for streamlined clinical workflows.
- Structured reporting
A structured approach to data entry for enhanced analytics and quality assurance.
- Outsourced transcription
Integrated outsourced transcription services for improved efficiency.
- Accent recognition
Accurate transcription of diverse accents and dialects for inclusive documentation.
- Cloud accessibility
Remote access for users, enabling productivity anytime, anywhere.
.NET
Angular
Figma
Docker
Kotlin
NestJs
Node.js
React
Laravel Framework
MS SQL
AEM