The Pharmacy Benefit Analytics Platform is a secure, cloud-hosted solution designed to modernize legacy PBM systems by automating claim processing, enhancing data transparency, and enabling real-time analytics. It empowers payors, TPAs, and pharmacy networks to reduce billing errors, ensure compliance, and make data-driven decisions — all from a unified, HIPAA-compliant environment.

The platform is a HIPAA-compliant, AI-driven diagnostic test management system designed to digitize and streamline the end-to-end lifecycle of diagnostic reports—starting with Pulmonary Function Tests (PFTs). It enables testing clinicians, physicians, and administrators to seamlessly upload, interpret, review, and sign diagnostic reports within a single secure environment. The system aims to reduce physician workload through AI-generated interpretations, while preserving clinical authority, regulatory compliance, and full traceability. It incorporates state-based physician licensing controls to ensure that reports are routed only to authorized physicians as mapped by administrators.

This solution delivers an all-in-one SaaS platform enabling Minnesota home healthcare agencies to manage client care, EVV compliance, caregiver compensation, and Medicaid claim submission from a single multi-tenant system. The system enables agencies to reduce operational cost, eliminate manual file handoffs, and ensure seamless compliance with Minnesota DHS 245D requirements.

The client operates a modern Medical Spa and Telehealth Wellness clinic offering services such as Good-Faith Exams (GFE) for aesthetic procedures, weight-loss programs, urgent care teleconsultations, and preventive wellness services. As the business expanded, the clinic aimed to unify patient engagement, provider workflows, and MedSpa partner coordination into a single digital platform that seamlessly connects their website, telehealth services, and existing EHR (Jane).

Healthcare organizations often struggle with ensuring their Electronic Health Record (EHR) systems meet the evolving standards required for MU 3.5 certification, particularly in areas such as data interoperability, patient engagement, and secure information exchange. This results in inefficiencies in clinical workflows, delays in reporting, and difficulty in accessing and sharing critical patient data across providers, leading to missed deadlines, penalties, and compromised patient care. The need for a comprehensive system upgrade that not only ensures compliance but also enhances operational efficiency and supports better healthcare outcomes has become increasingly urgent.

An anesthesia-focused Practice Management System (PMS) streamlining patient-provider coordination with features like scheduling, e-prescribing, HL7/FHIR integration, billing, dashboards, chat, and email templates. Anesthesia practices struggle with fragmented systems for scheduling, patient records, billing, and compliance, leading to inefficiencies, data silos, and regulatory risks, especially with HL7/FHIR and e-prescribing integrations. A unified, anesthesia-specific Practice Management System integrating scheduling, EHR, billing, e-prescribing, and communication tools, with seamless HL7/FHIR and Health Gorilla integration, improving workflow efficiency, compliance, and care coordination.

Chronic Care Management is a data-driven corporate wellness platform designed to empower healthcare providers and employers with AI-powered, real-time interventions for population health management. The solution integrates advanced analytics, digital member engagement, and care coordination tools to optimize disease management, pharmacy benefits, and clinical workflows. By leveraging Health Risk Assessments (HRA), AI-driven messaging, and real-time care gap identification, the platform enhances preventive care and chronic disease management.

The objective is to develop a secure, efficient, and scalable lead tracking and patient questionnaire management system to replace the existing manual, error-prone processes. The Patient CRM streamline patient engagement while ensuring data security, and enhance the conversion of patient leads into consultations.

The project involves developing a comprehensive “sleep tracking app” for Android devices, tablets, and TVs. It aims to help individuals experiencing sleep issues, such as difficulty falling asleep, waking up too early, or trouble resuming sleep after waking.

The objective of the app is to help users build and maintain good habits by allowing them to set daily goals, track their progress, and receive reminders. It aims to help users achieve personal growth, enhance their productivity, and improve their overall well-being through consistenthabit tracking, progress monitoring, and personalized support.