A mobile app that helps healthcare providers in after-hour calls with patients and a dashboard that displays transcription and shows extracted entity keywords.

An online session platform where practitioners create sessions and registered members can register for these sessions as per their interest. This platform empowers practitioners to select multiple categories for the session, schedule as per their availability, set session size (limit on the total number of members attending a session, duration, video required).

The payment model for practitioners is based on an algorithm, which calculates the fees based on the number of members that attended their sessions on a monthly basis. Another major feature of this platform is its partner channel program where sessions will be held for corporates with the content being published under their branding.

A dating application that enables people to find and introduce themselves to potential natural-minded connections over the internet. By opting for special pricing plans, users can get access to premium profiles & associated features. Compatibility matching is based on users’ preferences. Usually, users answer a questionnaire where they describe their likes and dislikes and what they are looking for in a guy or a girl. Then the app runs a mathematical algorithm based on the answered questions and determines the matching percentage.

The solution is built for chronic care management along with medical billing to maximize medical reimbursement. It aims to optimize the financial performance of a healthcare organization by ensuring accurate and timely billing, maximizing reimbursements, reducing claim denials, improving overall revenue, and maintaining high standards of patient care.

The proposed application is designed specifically for the US healthcare sector, aiming to serve hospitals and clinics as a comprehensive Electronic Health Record (EHR) / EMR management system. This solution is intended to streamline the electronic management of health records, offering a user-friendly platform for healthcare professionals and clients alike. Its primary goal is to facilitate the efficient administration of medical practices, enabling practitioners to seamlessly organize and access health records. By leveraging this electronic system, healthcare providers can ensure accurate treatment plans and enhance the overall quality of care extended to their clients.

Extensive scheduling & appointment management:
The scheduling functionality was developed with a keen focus on enhancing user experience and optimizing appointment management. The visual representation of appointments is enhanced by a color-coded system based on appointment types such as Billed, Check-out, and Cancelled, providing at-a-glance insights into the status of each appointment.

The Status/VisitType feature allows for easy classification of appointments, ensuring a clear understanding of the nature of each visit. Appointments are not only visually represented on the calendar but also displayed in a comprehensive list, offering a quick overview of the day's schedule.

The Appointment Setting options, which include the ability to display cancellations and print files directly from the scheduling interface. The Appointment Detail Screen provides a comprehensive overview of all patients patient'sdetails, ensuring that healthcare professionals have access to critical information at their fingertips.

 

The solution aims to develop, integrate, and maintain a web application primarily focused on integration with the AdvancedMD Electronic Health Record (EHR) platform. The main goal is to enhance the clinical documentation process by providing speech-to-text transcription and automatic summarization of transcripts using GPT-4. This tool aims to improve coding efficiency, streamline the transcription process, and facilitate seamless communication between healthcare providers and patients through a video conferencing platform.