Medical assistant application that leverages AI to enhance the efficiency and accuracy of healthcare delivery. By integrating OpenAI's advanced language models, the application aims to automate several critical aspects of medical documentation and decision-making processes, including generating ICD-10 codes, SOAP notes, and comprehensive treatment plans based on patient symptoms.

Another key objective is to provide personalized treatment plans that consider the patient’s symptoms, ICD-10 codes, and SOAP notes. These plans include recommendations for lab tests, medications, and follow-up care, helping doctors offer more personalized and effective treatments. 

The AI assistant is easy to integrate with existing EMR system and scalable to handle large amounts of data as more users join.   Using AI, the application can lead to better decision-making, less administrative work, and better health outcomes for patients.

Functionality of this application lies in supporting a project through its lifecycle – from front-end planning, project initiation through design and procurement, and throughout the course of construction and closeout. From a risk management perspective, it helps anticipate problems and avoid pitfalls in cost, scheduling, and scope by performing comprehensive project assessments, improving the project controls framework, and conducting schedule analysis employing advanced techniques such as risk-based, probabilistic scheduling.

We migrated the existing on-premises system, and various aspects of the application into server less components by utilizing the AWS services such as API Gateway, Lambda Functions, SES, SNS, CloudWatch. That benefit in creating an application that is no longer tightly coupled with SharePoint and provide a more robust, yet lean, solution to be extended in the future. 

The objective is to provide an app that delivers key wellbeing and health risk features to its members. Under a subscription based membership model the application provides employee benefit packages for health risk assessment, online GP support, nursing care, advocacy and advice, and insurance plans in UK.

Employee engagement focuses on health and fitness. HRA contains seven main steps which assess the personal, medical information, family history of diseases, lifestyle habits, biometrics measurements and readings, food habits and stress level of a user. This information is collected from the user by the means of the questionnaire asked them on seven different forms.

It is developed for a Japan-based single cleaning solutions provider company to automate and manage their day-to-day workflow and processes for a single cleaning solutions provider company. The solution aims to improve efficiency in managing staff, streamline reporting, and enhance communication between staff and superiors.

The system is web-based for company admins and staff and a mobile app for site workers that has the feature of offline sync when site staff works in the basement or out of network connectivity. It has role-based access features, allowing managerial staff to manage staff and schedules, and staff users have limited access to the web interface (To share a customized report with their superiors). It allows tracking the workload and activities of site workers for cleaning and maintaining multiple sites, along with a standard reporting format. 

This system will be used to provide home care to disable patients and provides a fast, easy-of-use, robust solution for the care providers and patient shifts management.

The National Disability Insurance Agency (NDIA) is an independent statutory agency and its role is to implement the National Disability Insurance Scheme (NDIS), which will support a better life for hundreds of thousands of Australians with a significant and permanent disability and their families and carers. NDIS provides grants to disabled patients to take home-care services which help to improve their lives.

We developed this system for the Home care service providers who provide daycare providers to NDIS-approved patients.

This project is a Web-based E-Prescribing & Document Processing Platform designed for healthcare providers and organizations to manage electronic prescriptions, sales orders, and documentation efficiently. The platform integrates with Brightree via API for seamless data synchronization, ensuring automated handling of product catalogs, patient records, and order tracking. A robust AI-powered document ingestion system processes medical faxes, extracts key details using OCR, and categorizes them for compliance checks. The system enhances efficiency through automated validation, real-time chat support, and AI-driven data extraction while ensuring secure handling of sensitive medical data.