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DIGITAL TRANSFORMATION

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Veersa partners with software product providers, delivering engineering services to bring products to market faster. Services include product management, software development, quality assurance, and project management.
Veersa helps clients navigate the entire product development process to deliver on time and with high quality. Our team goes
beyond features and backlogs, providing expertise in innovating, designing, developing, testing, deploying and maintaining software product.
With a keen eye toward exceptional user experience, our engagements span from technical debt elimination, to modernizing products from their legacy architecture, to enhancing product functionality, scalability and performance.

Architecture definition and implementation for EMR product.

Technology

VueJS, Java Spring boot, AWS Aurora, Docker, Kubernetes

Industry-Client Profile

Healthcare: Cloud based EMR Product for Mental Health

Business Context

Our client provides a comprehensive electronic medical record (EMR) solution that includes EMR, customer relationship management (CRM), and revenue cycle management (RCM) components. Veersa was engaged to scope and plan the re-architecting of the product.

Business Impact

A 70% reduction in time-to-market

An 80% improvement in security measures through multi-factor authentication

A 40% increase in the number of concurrent users.

A 60% cost saving in infrastructure cost.

Solution

Veersa delivered a foundational architecture that was loosely coupled with EMR, CRM, and BI.
It supported real-time connectivity through industry-standard messaging protocols, provided SSO, multi-provider and multi-factor authentication.
The architecture supported multi-tenancy with client data segregation and leveraged pre-built tools to reduce time-to-market.

Developing Scheduling Component for EMR.

Technology

VueJS, Java Spring boot, AWS Aurora, Docker, Kubernetes

Industry-Client Profile

Healthcare: Cloud based EMR Product for Mental Health

Business Context

Client provides End-To-End EMR solution – EMR, CRM and RCM.

Veersa team scoped and implemented a new scheduling service in modern and flexible architecture.

Business Impact

50% reduction in time-to-market, an 80% increase in configurability, and a 40% improvement in UI/UX

Solution

Veersa delivered a scheduling service using agile and Core + POD mode with a cross-functional team.
User stories and mock-ups were prepared ahead of each sprint while testing was done both manually and through automation.
The end result was a highly configurable, scalable, and multi-tenant product with dynamic workflows, telehealth meetings, and an intuitive UI/UX.

Co-sourced developement of media streaming product fom idea to launch.

Technology

MS.NET, MS Azure, MS SQL Server, WebRTC, Vue.JS

Industry-Client Profile

Financial Services: Cloud PR Communications Product.

Business Context

Client needed to build a media streaming product for the investor community with secure, reliable, always-on, confidential communication.

Business Impact

Adoption rate: Increase the number of telehealth sessions scheduled and held using the system by 30% within the first 6 months of implementation.
User satisfaction: Achieve a satisfaction rating of at least 85% from users who have scheduled and conducted telehealth sessions using the system.
Session reliability: Maintain a session reliability rate of 95% or higher, with no more than 5% of sessions experiencing technical issues.
Session recordings: Respond to at least 90% of secure session recording requests within 24 hours.

Solution

Veersa implemented a secure, multitenant scheduling system for telehealth sessions with features such as a confidential interface for all participants, ability for host and co-host to join from different locations, and secure recordings of sessions available on request.

Modernizing Legacy Patient Support Services Product.

Technology

RightFax, MiTel, Twillio, Azure AD, Angular, Node.Js,

Industry-Client Profile

Healthcare: Mid-Sized Specialty Pharmacy Product Company.

Business Context

Client needed to modernize Legacy Application created in MS .Net technologies based closed architecture Patient Support System product offering HUB, HCP Portal, BV, PA, copay, PAP services.

Business Impact

25% user traffic through Digital Self service channels with 36% uptick in customer engagement/ satisfaction

Solution

Veersa redesigned the Patient Support System using MEAN Stack and Open Architecture, hosted on Azure Serverless Computing for performance and scalability.
The system was configured to handle structured and unstructured data, providing features similar to version 1.0 with improved configurability, security, auditability, and governance.

Veersa is a strategic partner for end-to-end digitalization support, collaborating with our clients to deliver customized solutions. Propelled by innovation and agility, we drive digital transformation for our clients, enabling them to meet the dynamic demands of the digital consumer, while supporting their most critical goals, including business growth and operational efficiency. We bring together the disparate data sources, models, tools, and processes into a common framework, streamlining the implementation process while positioning for future scalability and flexibility.
From creating a digital front door for patients to enabling physician – patient collaboration, we are at the forefront of transforming the consumer experience.

Digital Transformation – Creating Signature Patient centric experiences

Technology

Dot Net Core, React JS, Azure Cloud, Omni channel applications, Twillio

Industry-Client Profile

Healthcare: Leading Chain of Medical Facilities

Business Context

With Epic at the core, client wanted to create very intuitive and differentiated experiences for Patient, Care Team and Providers

Business Impact

25% user traffic through Digital Self service channels with 36% uptick in customer engagement/ satisfaction

Solution

Data-driven ROI modeling, product concept, and implementation for secure and efficient healthcare solutions.
Azure-based implementation with Epic integration through FHIR/private APIs.
Includes patient-facing health tech for care navigation, health goals planning/tracking, omnichannel communication, telehealth, referral scheduling, and refill management.

Digitalization & Digital Co-Innovation Partner

Technology

Web services, APIs, Angular, Geo location, Native Android & iOS

Industry-Client Profile

Healthcare – Fortune 10 Health Solutions company

Business Context

Transformation of end-user experience across platforms through experimental & Innovative Industry first solutions

Business Impact

28% increase in customer NPS. 200% increase in adoption of Digital channels. 4.7 rating on App stores

Solution

Established a Digital Co-innovation center to develop and validate innovative solutions in fail fast mode.
Successful product concepts launched as production solutions – Unified & contactless customer experience, Easy Refill, Medical Device integration, Appointments scheduling, Secure chat etc with Native application and web development

Comprehensive Data Analytics and Visualization Platform

Technology

Azure Data Factory, Azure SQL DB, Postgres, Embedded Power BI, React, .Net Core

Industry-Client Profile

Healthcare: Mid size Patient Assistance, Manufacturer Support, and Mail Order company

Business Context

Client wanted the ability to collate and visualize data from numerous sources on a near real time basis

Business Impact

High visibility of Operational data to Management for critical decision making

Monetized reports resulted in $2M additonal subscription revenue annually

Solution

Secure, scalable and multi-tenant data lake using server less architecture on Azure using ADF, Azure SQL & Power BI
Intuitive and secure Self-service web portal to distribute the various reports to various stakeholders with role based access control using Embedded Power BI
Ability to monetize the reports with client subscriptions

Building and Managing Data Services for a Low-Cost Airline

Technology

MS Azure, Azure Data Factory, Python, Azure SQL, Azure AD.

Industry-Client Profile

Low-Cost Airlines (LCA): An emerging ultra low cost airlienes operating in US.

Business Context

The LCA approached Veersa with a challenge to provide a cost-effective data solution that could provide accurate and real-time data insights to support their business operations.

Business Impact

25% user traffic through Digital Self service channels with 36% uptick in customer engagement/ satisfaction

Solution

Veersa helped LCA build & manage data platform on modern tech stack.
The platform centralized data from flight schedules, passenger info & finance.
It provided real-time insights on KPIs for data-driven pricing strategy, resulting in increased efficiency, improved financial performance, and a competitive edge.

Veersa uses big data analytics and AI to empower organizations to make timely data-driven decisions with compassion and intelligence. We help clients harness big data for business growth and positive social impact through deep subject matter knowledge, combined with practical expertise in leading edge data analytics and AI technologies. supporting them in their digital transformation journey. Throughout our engagements, we remain focused on our clients’ endgame – enabling informed decision-making for meaningful outcomes.

Prediction Modelling of Claims Denial

Technology

Azure ML Studio, Power BI

Industry-Client Profile

Healthcare: Leading Chain of Medical Facilities

Business Context

With $140M worth of denied claims annually, client needed a mechanism to predict first time Claim denials

Business Impact

Significant reduction in Claims AR leading to savings of $1M

Improvement in Operational RCM efficiency and Financial reporting accuracy

Solution

Identified Top 25 Denial codes contributing to 80% of Claims denials.
Identified the key features and built a model around those which resulted in 80% accurate predictions on first time claim denials.
The predictions were synthesized into a Power BI Dashboard for easy access and understanding.

AI-Powered Healthcare Claims Coding System

Technology

Python, Redshift, AWS Glue, Spark, AWS Sagemaker, AWS Lambda, API Gateway

Industry-Client Profile

Healthcare: Cloud based EMR Product for Mental Health

Business Context

Basis type of service and medical condition predicting the most relevant ICD/CPT codes for increaing first time claim acceptance by Payers

Business Impact

28% increase in customer NPS. 200% increase in adoption of Digital channels. 4.7 rating on App stores

Solution

Built an explainable ML solution to enhance the accuracy of the claim coding process. Model predicts HCODE, CPT Code, and Revenue Code, by analyzing and learning from patient medical conditions, services provided, and claim data.
To facilitate ease of use, a model serving API has been developed for the operations team for both real-time and batch prediction.”

Improving Patient Adherence and Reducing Abandonment Rates with AI

Technology

Python, Azure Machine Learning, Azure Databricks, Azure SQL.

Industry-Client Profile

Healthcare: Mid-Sized Specialty Pharmacy.

Business Context

A specialty pharmacy was facing a high rate of medication abandonment, which was negatively impacting their revenue and patient outcomes. The manual process was time-consuming and unreliable.

Business Impact

Abandonment rates were reduced by over 30%, and patient adherence improved by 20%.

Solution

Veersa worked closely with the specialty pharmacy to understand their unique needs and requirements.
The AI product was integrated with the pharmacy’s existing systems, allowing for seamless data transfer and analysis.
The product also provided real-time notifications and alerts to pharmacists, allowing them to proactively reach out to patients and prevent abandonment.

Veersa offers Industry specific technology frameworks, tools and products to help build scalable customized solutions that support key business functions, while reducing time to maket. These frameworks and SaaS based solutions can be implemented as-is or readily configured and customized to meet unique client needs, while accelerating implementation timelines.

Intelligent Hyper-Automation Patient Intake Tool

Technology

ReactJS, Python, SQL Server,

Industry-Client Profile

HealthCare – Biotech-Pharma, Physician Practices, Pharmacies, Patient Support Services

Business Context

“Automation of Patient Intake and Enrollment forms for Patient Support Services programs, including Rx entry, form classification, and fax processing.

Business Impact

35% efficiency gains from Manual Data Entry intake

Solution

A cloud-based platform using NLP and ML to extract handwritten text from documents (fax, PDF, scanner, etc.) with tagging, document indexing, automatic form classification, manual correction options, configurable confidence scoring.
API-based cross-validations, and a suggestion engine for likely incorrect fields.

End-to-End Platform for Multi-Data Ingestion and ML

Technology

Azure Data Factory, Azure Data Lake, Python, Azure DW

Industry-Client Profile

Implementable across industry verticals

Business Context

Integrates decentralized data sources for easy business value extraction, enables quick implementation of data warehousing, analytics, and visualization solutions with focus on ML use cases

Business Impact

High visibility of Operational data to Management for critical decision making

Monetized reports resulted in $2M additonal subscription revenue annually

Solution

Solution built using Azure cloud components for data ingestion, collation, curation, transformation and storage. Developed a ML engine allows for easy deployment of relevant models using Python.
Visualization of model output or data anlaytics through MS PowerBI dashboards and reports.