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Our Projects

A version of the GIVE mHealth AI solution was provided for reducing health disparities in underserved populations during the pandemic. It was applied to enable doctors to cooperate with healthcare providers to correspond with people at a distance with mobile phones for them and for patients in their remote settings. 

Produced Remote Care AI Solution for Telemedicine Care in Global Remote Cancer Treatment

Introduction
The client is a top-tier cancer center. It is the largest cancer center in the U.S. and one of the original three comprehensive cancer centers in the country. It is both a degree-granting academic institution and a cancer treatment and research center. It is a top-ranked hospital in the world for oncology and related cancer treatment. It enjoys university status by providing fellowship, internship and residency opportunities to Ph.D.s and medical professionals.

 

The institution offers master's degrees, Ph.D.s and dual M.D./Ph.D. Areas of study include: immunology, cancer biology, genes and development, molecular carcinogenesis, medical physics, biomathematics and biostatistics, experimental therapeutics, and virology and gene therapy. Areas of study include clinical laboratory science, cytogenetic technology, cytotechnology, diagnostic imaging, diagnostic medical sonography, healthcare disparities, diversity and advocacy, histotechnology, medical dosimetry, molecular genetic technology, diagnostic genetics, radiological sciences and radiation therapy.

Challenge Faced

The client found it difficult to handle the long-distance requests of its global cancer patients and wanted to establish a global telemedicine program. The Telemedicine committee sought GIVE mHealth for the establishment of global telemedicine services that could allow for the monitoring of patients remotely. So, their patients no longer have to travel as far as the Middle East or a country like Mexico for all medical issues. They decided to launch a telehealth aspect to each of their cancer department. 

The Solution


The GIVE mHealth Team came on the ground floor to establish the global method of implementing the institute's program remotely. Also helped with international law logistics on global health. Then built a remote-cancer monitoring app using

GIVE mHealth AI Solution.  The Team produced an app for improving quality of care for enhanced remote monitoring and reduced morbidity by identification and management of disease and treatment related symptomatology in cancer care. The AI uses chronological symptoms to examine a direct correlation of how self-monitoring an illness can reduce mortality through doctor-to-patient remote monitoring.

 

We aligned our doctors with the team and built a remote cancer version of the AI to be effective in monitoring of patient symptoms with application of symptom tracker. This shows that a symptoms tracker can show evidence how remote monitoring are effective to empower patient health and provide data on potential disease reduction via remote healthcare. 

Image by National Cancer Institute

Applied Epic Data Management Automated using AI Bots

Introduction


The client is an independent insurance specialty group that has been servicing customers for the last 30 years, specializing in professional liability, disability, life insurance, office insurance, workers comp, and other coverages. With their extensive experience in managing insurance needs for dental professionals and practices, the client organization offers comprehensive insurance solutions across multiple states in the United States. 

Challenge Faced


The client found it challenging to handle more than 20,000 policy requests, including policy renewals, policy cancellations, policy notice of cancellations, and policy amendments spread across 6 major insurance policy providers. They sought us for RPA bot implementation to reduce the burden of mundane tasks, ensure data integrity in their Applied Epic Management systems and improve business productivity overall. 

The Solution


The GIVE mHealth Tech Team, with its broad wealth of experience in applying AI to RPA services, assessed the feasibility of implementing Robotic Process Automation and evaluated for deterministic and rule-based scenarios. As a result, our team identified potential data inconsistencies in their Applied Epic Insurance Management System that could be considered a good candidate for RPA implementation.  

The team automated the data corrections using UiPath as a Proof of Concept (PoC). After successful implementation of the PoC, our expert team developed bots to automate two core operations (Policy Renewals and Policy Notice of Cancellations) and provided UAT assistance and training to the client’s agent teams. 90% of data quality issues were resolved with the RPA AI bots. This helped streamline the processing of various policy management activities and the automation of extraction across the client’s enterprise systems. 

RPA implementation also resulted in reducing the average turnaround time from 60 minutes to 25 minutes per policy. 

Image by Jonathan Borba

How we helped a fast-growing health benefits provider digitally transform their business operations with web and mobile solutions

Introduction


A health benefits service provider based in Dallas, TX. Established in 2009, the business has helped individuals, employers, and brokerages with various non-insurance tools to moderate healthcare services and needs. It is a one-stop solution that provides multiple healthcare savings-related services. Members save thousands of dollars on their family’s healthcare needs (and more) using the benefits provided by the company. 

Client Needs/ Challenges Faced


The client initially used physical cards to track the services consumed by their customers. They had to print the cards manually and send it out to all their members. With growing digitization, the client wanted to evolve towards a more unified digital participation and improve the user experience for all its users, fueled by their desire to enhance customer engagement.  

The Solution


The GIVE mHealth Tech Team, with over 1,000 person-years of consulting experience, joined hands with the client to produce a web and mobile-based solution that would transform the ongoing business in terms of scale and efficiency. The team’s digital engagement experts developed a strategic plan to address the client’s needs; created a robust roadmap; connected all their needs with the most positive, engaging solution; grouped the different types of users based on activities; and drafted a design with a clear distinction of roles and responsibilities. This decluttering exercise instantly improved the ease of operations. 

The team developed, 

Member Portal 

Broker Portal 

Employer Portal 

Beniehub – Backend Admin Portal 

Mobile app for Members 

Efficiently using AI tools and helping the client streamline their business. With all this in place, members overcame the difficulty of logging in to every third-party website individually to access the services and was more user-friendly and time-saving. The client’s website seamlessly became the entry and exit point for accessing all the benefits their service provided. 

Image by National Cancer Institute
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