Education and patient advocacy application for the non-profit organization which aims to guide or inform patients about the treatment options pertaining to different cancer types. The information also includes the results from different treatments and the available clinical trial options for the patient. This is a data aggregation and analytics solution that conducts the statistical analysis of the published results of the trials including summaries of the results and its adverse events. Following it shows the trials which have the most promising treatments. It helps the patients by creating awareness about the important developments that are happening in cancer treatments which are currently being tested for clinical trials and by comparing them further help the patient to find out which is the safest and effective treatment.

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

This PaaS system has been developed for medium to enterprise-level organizations to manage all kinds of potential crises along with action plans. The system allows all company stakeholders and internal/external entities to have a collaborative approach to managing reputation damage, financial implications, legal liabilities and others. 

The purpose of the app is to streamline the process of conducting clinical trials by facilitating efficient screening and scheduling of members registered with insurance providers. By providing a platform for collaboration between all the stakeholders, the project aims to enhance the safety and effectiveness of new therapies, vaccines, and diagnostic procedures.

The platform assists insurance and healthcare providers to screen and schedule health screenings for registered members The app will be designed as a white label product for healthcare providers to purchase and involves importing member data provided by insurance providers in a flat file format into a database. This data will be used to schedule screenings with Medical Assistants (MA) and Nurse Practitioners (NP). During the screenings, the MA and NP will collect relevant information, and coders will assign codes based on the provided details.

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 main objective of  this application is to make the patient referral process simple for both provider and patient. It let the provider refer a patient within few clicks and both patient and referred doctor get notified about the referral details along with patient contact infomation for further processing with a secure channel.

Platform provides a comprehensive solution to support ACOs as they track and report the necessary quality metrics.