Healthcare AI Deployments

Bluesight built Prism Assistant and a broader multi-product agentic AI platform to automate healthcare compliance workflows across its product suite.,The solution uses Amazon Bedrock AgentCore, Amazon Bedrock, MCP tools, and multi-agent orchestration to gather evidence across products and produce auditable compliance determinations.

Virtua Health is a healthcare provider serving the South Jersey and Philadelphia region across five hospitals and more than 400 health facilities.,The organization uses Microsoft technology to deliver AI-powered patient summaries and predictive insights to clinicians and operational leaders at the point of care to reduce cognitive load and improve patient outcomes.

NSF, a nonprofit scientific and regulatory auditing organization, needed to organize, verify, summarize, and synthesize tens of thousands of documents across country-specific rules for medical audits.,The solution uses Azure Document Intelligence, Azure OpenAI, Azure Model Context Protocol (MCP) tools and servers, Azure Blob Storage, Azure Python SDK, Azure Cosmos DB, Microsoft Entra ID, and Azure RBAC to automate document validation, structured sorting, version tracking, and summary drafting.,Staff review and refine the AI-generated summaries, while the workflow remains inside Azure cloud controls and private tenant security.,The implementation reduced audit turnaround time from 4–6 weeks to about 2 weeks and was reported to deliver near-perfect accuracy for the proof of concept.

Moody Month built an AI-powered women’s health and wellness tracker on Google Cloud to deliver personalized hormone forecasts and research-backed advice.,The company designed the platform to keep sensitive health data private by isolating user data in Firestore and avoiding exposure of raw user data to LLMs.,It uses Cloud Run microservices, Gemini 2.5 Pro, Vertex AI, BigQuery, Looker Studio, and supporting Google Cloud services to generate, match, and visualize insights at scale.

Stanford Health Care deployed Microsoft’s healthcare agent orchestrator built on Azure AI Foundry to automate the complex preparation process for oncology tumor boards. Autonomous agents aggregate and synthesize data from EHRs, imaging, genomics, labs, and real-world evidence, and collaborate to provide actionable reports and summaries for decision-making. Agents generate patient timelines, integrate medical literature, and identify treatment options and clinical trial matches. Clinicians access these agents through natural language in Teams and Word via Copilot, reducing preparation time from hours to minutes and freeing more time for patient care. The solution remains under research but shows significant acceleration of clinical information synthesis and multidisciplinary coordination.

Hippocratic AI and EUCALIA have partnered to launch Japan's first generative AI healthcare agent that handles non-diagnostic, patient-facing clinical tasks in Japanese. This agent, based on the Polaris Constellation System, is designed to support clinicians by managing critical but time-consuming duties like appointment scheduling, chronic care check-ins, and medication adherence. Addressing the challenges of an aging population and strained clinical workforce, the agent leverages advanced generative AI in a culturally fluent manner. Specialized supervisor models oversee crucial tasks—including medication, nutrition, and escalation protocols—ensuring high clinical safety and quality. The system has demonstrated high accuracy and patient satisfaction in millions of calls elsewhere and is now expected to improve workflow, patient engagement, and care efficiency in Japan. The collaboration combines Hippocratic AI’s technical platform with EUCALIA’s local expertise, aiming to strengthen the healthcare system and patient experience.

IKS Health modernized its healthcare delivery platform with Google Cloud, leveraging AI and DORA principles to improve operational efficiency, clinician satisfaction, and financial resilience for over 850 healthcare enterprises.,The IKS Care Enablement Platform combines intelligent automation, data intelligence, and human expertise to offload healthcare chores across clinical documentation, revenue cycle, care navigation, and operational intelligence.

ViClinic, a healthcare technology company, set out to streamline end-to-end care workflows across intake, documentation, authorization, care coordination, pre-authorization, coding, billing, and follow-up.,The company wanted to reduce administrative burden and avoid delayed or denied claims without compromising clinical decision-making or compliance.,IBM watsonx Orchestrate was used to embed governed agentic AI into healthcare workflows with human oversight and auditability.

The Clinician built TC-WIZ, a no-code project-authoring wizard powered by its Responsible AI Clinical Assistant (RAI) on Google Cloud.,The system translates clinical protocol intent into validated platform configuration, including variables, cohorts, assessments, schedules, reporting logic, draft updates, scoring formulas, and recommended validated instruments.,The architecture uses Gemini Enterprise Agent Platform (formerly Vertex AI), Gemini models, function calling, and Cloud Run functions with hybrid routing between Gemini Pro and Gemini Flash.,The wizard includes PHI screening controls and licensing checks against curated instrument libraries.

Clixlogix delivered an eleven month engagement for a Massachusetts cardiovascular care company spanning strategic assessment, discovery, solutioning, and phased implementation.,The solution replaced a vendor-locked patient application with a custom Flutter platform on existing EHR REST APIs, added an AI care companion grounded in the client’s clinical protocol using Azure OpenAI Service and Azure Health Data Services managed FHIR API, and introduced AI session intelligence, enrollment automation, billing automation, RPM anomaly detection, computer-vision lifestyle logging, and standardized partner reporting.

Guardoc Health helps skilled nursing facilities and assisted living centers extract, classify, and act on complex clinical documents faster and more accurately than manual review.,The pipeline uses Amazon Bedrock with Amazon Nova models, Amazon Textract, Amazon Titan Text Embeddings V2, and Amazon DynamoDB to process handwritten, checkbox-heavy, and mixed-format medical documents.,The solution combines RAG, patient-scoped retrieval, cost-tiering between Nova 2 Lite and Nova Pro, and hybrid OCR plus multimodal reasoning for compliance-sensitive long-term care workflows.

CSL is a global biotechnology company modernizing its business-critical operations by exiting legacy on-premises infrastructure and moving to the cloud.,The company faced technical debt across 29 data centers, with 5,000 VMware servers and more than 1,000 applications, plus fragmented documentation and complex dependencies that slowed migration planning.,CSL used Amazon Q Business to index more than 17,000 pages of infrastructure requirements and AWS Transform for VMware to analyze VMware environments, map dependencies, and generate migration wave plans.,The company is also using AWS for RISE with SAP as part of its broader modernization program.

AArete’s Doczy.ai automates contract intelligence for healthcare organizations and other enterprises by converting unstructured contracts and legal documents into structured, queryable outputs on AWS.

UC San Diego Health is an academic medical center in San Diego, California.,The organization deployed Amazon Connect AI agents across voice, chat, and WhatsApp to support appointment management, patient self-verification, and autonomous scheduling.,The implementation reduced staff burden and improved patient experience.

UC San Diego Health deployed Amazon Connect AI agents across voice, chat, and WhatsApp to manage appointment-related workflows.,The solution enables patients to self-verify and schedule appointments autonomously, reducing manual contact center effort and improving access to care.

Henry Schein One built Image Verify, an AI-powered quality verification system that evaluates dental X-ray quality at the point of capture.,The system uses Amazon SageMaker AI and Amazon EKS to return an immediate quality score so clinicians can retake poor images while the patient is still present.

MyLÚA Health built a secure agentic AI platform for pregnancy and postpartum support that gives birthing parents immediate, privacy-preserving guidance between clinical visits.,The platform uses curated evidence content across pregnancy, postpartum care, nursing, mental health and nutrition, with a FastAPI backend on IBM Cloud Code Engine and orchestration through IBM watsonx Orchestrate and watsonx.ai.

Idonia is a cloud service enabling secure access, communication, and portability for nearly 3 million medical records and 60 million images shared between medical professionals and 300,000 patients.,The company faced challenges of simplifying access to medical imaging data while ensuring compliance with HIPAA, GDPR, and sustainability goals.,Idonia leveraged Google Cloud technologies including Cloud Healthcare API, Google Kubernetes Engine, Certificate Authority Service, Cloud SQL, Cloud Storage, and Looker to build a scalable, secure cloud platform.,With support from Google Cloud Premier Partner Devoteam, Idonia built a global-compliant, auto-scaling infrastructure that processes over 4.5 million clinical device data requests monthly, accelerating data processing by 200% and reducing image processing latency by 80%.,Idonia also established a data lake and is developing AI/ML capabilities for enhanced medical research and analysis, focusing on patient privacy and data ownership.

Chironix, a software development company focused on AI and robotics, is using Google Cloud to support a genomics project helping Aboriginal Australians connect with their ancestry.,The company utilizes the Cloud Life Sciences API and Google Cloud Compute Engine to run a Genome Analysis Toolkit pipeline for managing and analyzing large genomic datasets securely.,The initiative, called the Aboriginal Heritage Project, collaborates with researchers and indigenous consultants to build a genetic map of Aboriginal Australia using hair samples and genealogical data.,By leveraging Google Cloud's scalable infrastructure and machine learning, Chironix reduced the genomic data analysis from several months to weeks while providing a secure environment for sensitive data.,The project empowers Aboriginal Australians to learn about their ancestral homelands and helps preserve cultural heritage through modern genomic science.

The Foundation for Precision Medicine aimed to detect Alzheimer's disease early, months or years before symptoms manifest, to enable timely treatment and alter disease trajectory.,They migrated data analysis and machine learning model development to Google Cloud, leveraging BigQuery for fast processing of large electronic health record datasets and virtual machines for scalable compute power.,This enabled faster, more accurate machine learning algorithm development and collaborative research, reclaiming significant researcher time for scientific discovery.