How AI Improves Accuracy in Healthcare Processes

The objective of this project is to develop an on-demand service marketplace platform that seamlessly connects service seekers with the most relevant service providers in real-time. The platform will cater to a wide range of needs, including fitness and wellness, errands, and other support services, ensuring a convenient and efficient solution for users looking for immediate assistance. Through this marketplace, both service providers and seekers will benefit from an intuitive, user-friendly interface that simplifies the process of finding and delivering services on-demand.

Imaging Systems for Aesthetics and Dermatology. Works in the field of aesthetics and early skin cancer detection, using imaging procedures. Business focus is on the development, image management, archiving, and sale of systems for digital aesthetics, dermatoscopy, and body mapping procedures. We are developing a cloud based solution to integrate new features into the desktop-based medical imaging (SAAS) platform. The application is presently designed to view images and analyse them thereby aiding in the detection of a wide array of dermatological pathologies. Desktop based application is getting migrated to a cloud-based architecture to provide uniform access from various platforms like Macintosh, Microsoft, iPad, and mobile devices.  We also utilize our AI-ML skills in improving image analysis, interoperability, reliance on non-cloud apps, integration of various in-house hardware devices, etc. all factors that will be accommodated while optimizing overall application performance. 

The Platform project aims to revolutionize the way patients and doctors connect for immediate consultations. Implementing first-in, first-out (FIFO) approach, the platform prioritizes patients based on the order of their requests, reducing wait times and enhancing patient satisfaction. Patients can provide detailed information about their symptoms, upload relevant images, and specify the type and duration of consultation they need, empowering doctors to make accurate diagnoses and treatment recommendations during video consultations. The platform ensures seamless and secure interactions, allowing patients to rejoin the queue if they accidentally close their browser. It also simplifies the prescription process with a secure payment gateway and facilitates the delivery of prescriptions. 

The Platform project aims to enhance accessibility to healthcare services, optimize patient-doctor interactions, and elevate the overall quality of care. By leveraging technology and incorporating innovative features, the platform strives to provide a seamless experience for patients and doctors alike. With its focus on efficient queue management, comprehensive patient information, secure interactions, and simplified prescription processes, the Platform aims to revolutionize the way healthcare consultations are conducted, improving access to care and facilitating better healthcare outcomes.

HiveRobot is a SaaS-based platform revolutionizing the cleaning industry by providing automated, subscription-based cleaning solutions for offices, floors, and commercial spaces. Clients subscribe to the service and cleaning robots are assigned to handle routine cleaning tasks, ensuring consistent quality and reliable results every day.
 

A staffing agency required a web-based platform to streamline candidate profile generation with a professional, branded layout. The goal was to simplify the process of inputting candidate details, resume parsing, talent scoring, and PDF generation. This tool needed to ensure consistency, branding compliance, and efficiency in preparing candidate profiles for client distribution.

This system was designed to:

• Automate candidate data entry and resume parsing.
• Provide a structured scoring system for assessing candidates.
• Allow recruiters to add insights based on predefined templates.
• Enable profile editing, secure storage, and PDF export with agency branding.
• Ensure a mobile-responsive and user-friendly experience.

Health insurance companies and providers face multiple rejections and huge penalties due to incomplete documentation. To improve payor performance, the HEDIS analytics platform integrates consumer, clinical, provider and payer data to analytical data that healthcare stakeholders can readily use to improve the health of their patients and populations. 
The platform is on HEDIS quality measure reporting rules driven by data extracted from more than 15 EMR systems. HEDIS analytical platform helps in remediating the gaps in data collection through pre auditing of data and to improve the efficiency of HEDIS reporting. 

By providing the functionality of care gap identification, HEDIS analytic platform calculates the care gap for different payors and EHR system.