Why Is Machine Learning Critical for Reducing Healthcare Operational Costs

It is a native iOS and Android app developed to give users an option to check the value of their trading sports cards before making a deal. The card Grading app helps to grade sports cards that are available in the market, a user can click an image and check the Grade range of 1-10 of the card that affects the cost of the card in trading.

We have used computer vision and NLP techniques to get the desired results. The intent is to mark the grade of the card on basis of different features, like how much the card is torn, is there any scratch or mark on the card, and other factors.

SaaS-based software to draft, track, and manage healthcare payment audit appeals and responses. The platform unites the overcharged patients, organizations and auditors. This helps the patients suspecting for overcharge to appeal in the judiciary system against the alleged organization.

The goal of this application is to facilitate the communication amongst organizations, victim patients and auditors, and assists appeal to the judiciary system with a structured approach. The total process is tracked by the system with valid papers and document maintenance.

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.

The primary motive of this site is to buying and selling process hassle free and with maximum value. This helps us do in-depth car analysis, detailed specifications, video reviews, which assists our users in making a said car buying and selling decisions easier and simpler.

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. 

This solution aims to provide comprehensive support and guidance to women during their prenatal and postnatal journeys. Through an initial consultation, users will be matched with a suitable care team who will be available around the clock to assist as needed. In addition to personalized consultations, the platform will offer educational sessions and content to support women throughout their pregnancy and into parenthood.