6 Integrations with Google Cloud Healthcare API
View a list of Google Cloud Healthcare API integrations and software that integrates with Google Cloud Healthcare API below. Compare the best Google Cloud Healthcare API integrations as well as features, ratings, user reviews, and pricing of software that integrates with Google Cloud Healthcare API. Here are the current Google Cloud Healthcare API integrations in 2026:
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1
Google Cloud Platform
Google
Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.Starting Price: Free ($300 in free credits) -
2
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.Starting Price: Free ($300 in free credits) -
3
Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.Starting Price: Free ($300 in free credits) -
4
Google Cloud AutoML
Google
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions. Use Cloud AutoML’s simple graphical user interface to train, evaluate, improve, and deploy models based on your data. You’re only a few minutes away from your own custom machine learning model. Google’s human labeling service can put a team of people to work annotating or cleaning your labels to make sure your models are being trained on high-quality data. -
5
Health Studio
Health Studio
Health Studio™ offers a unique, fully integrated AI platform that unifies patient care, clinical research, and remote monitoring. By seamlessly connecting wearables, medical devices, and patient data, it delivers real-time insights, streamlines operations, and enhances outcomes, transforming healthcare into a more connected, data-driven experience. -
6
Optum AI Marketplace
Optum
Optum AI Marketplace is a curated ecosystem of AI-powered solutions designed to transform healthcare by providing payers, providers, and partners with tools to deliver better outcomes efficiently. It offers a diverse range of products and services across categories such as patient & member engagement, eligibility & claims, care operations & management, payment & reimbursement, and analytics & insights. Notable offerings include the prior authorization inquiry API, which enables payers to check a patient's prior authorization status in real-time, and SmartPay Plus, an e-cashiering payment platform that simplifies patient payments and streamlines the collection process. Additionally, Optum Advisory Technology Services provides expert support for digital transformation initiatives, offering system selection, procurement, implementation, and AI tools. It also features partnerships with trusted resellers, such as ServiceNow, to offer cutting-edge healthcare solutions.
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