Virtual Care Assistants
Assist patients in real time with virtual care agents that handle common questions, post-discharge instructions, and early symptom reporting.
Building the next-generation logistics ecosystem with Salesforce-integrated platforms, intelligent mobility, and automated data pipelines.
[Source: HIMSS & Accenture]
[Source: HealthITAnalytics]
Integrate EHR, patient intake, claims, and provider data across hospital systems and partner networks with secure data exchange protocols.
Build scalable platforms to consolidate and normalize trial, patient, and outcomes data to support analytics and regulatory reporting.
Deploy task-based AI agents for patient education, prior authorizations, medical literature reviews, and trial site support.
Generate patient summaries, explain medical conditions in plain language, and support documentation across departments with custom-trained models.
Build APIs and data connectors compliant with HL7/FHIR standards to facilitate seamless EHR integration and patient data portability.
Configure Salesforce for care team collaboration, patient portals, and provider operations—integrated with wearables, labs, and telehealth tools.
Enable patients, providers, researchers, and pharma reps with compliant platforms for results, consent, and collaboration.
Get real-time insights into readmissions, provider loads, trial progress, and patient risk profiles—using Power BI, Tableau, and Domo.
Enforce strict access policies, audit logging, encryption (at rest & in transit), and role-based visibility—critical in healthcare environments.
Assist patients in real time with virtual care agents that handle common questions, post-discharge instructions, and early symptom reporting.
Summarize complex clinical knowledge using NLP-powered bots trained on medical literature, SOPs, and drug databases.
Accelerate clinical trial enrollment through AI engines that match eligible patients to studies based on EMR data and inclusion criteria.
Automate document processing by extracting key data from lab reports, insurance forms, referrals, and consent forms using Intelligent Document Processing (IDP).
Predict health risks earlier with machine learning models that flag patients at risk of readmission, deterioration, or intervention needs—based on EMR and device data.
We bring ideas from finance, logistics, and parking into healthcare—making solutions more adaptive and future-ready.
We’ve delivered compliant data platforms and integrations across hospitals, labs, and research organizations.
Deep experience with HL7, FHIR, and EHR ecosystems ensures seamless data exchange.
From Snowflake lakes to analytics dashboards, we enable smarter decisions and faster reporting.
Our bots and automation frameworks are deployed at scale—delivering measurable outcomes.
We embed access control, encryption, and auditability into every system.
A provider of enterprise-grade time tracking solutions needed to develop a flexible and scalable time
A leading insurance services firm sought to enhance internal knowledge retrieval by leveraging AI-driven search
A mid-sized enterprise operating multiple AWS-hosted applications—including Angular-based frontends and .NET Core backend APIs—needed a
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