Empower Providers. Optimize Workflows. Enhance Patient Outcomes
Welcome to the forefront of healthcare innovation, powered by generative AI. Generative AI, a powerful branch of artificial intelligence, learns from large amounts of existing data to create entirely new and realistic information. This goes beyond traditional analysis by enabling the generation of synthetic patient data for research, assisting in predicting diagnosis, and even creating personalized treatment plans. The technology is transforming healthcare by automating time-consuming tasks in ways never before thought possible. Join us in harnessing this transformative power to unlock a new era of healthcare efficiency, personalized medicine, and groundbreaking discoveries.
Healthcare technology is evolving. Traditional AI based use cases require last amounts of labeled data, limiting its adaptability and outputs. Generative AI breaks these barriers. These Large Language Models (LLMs) have been trained on vast amounts of data and can synthesize new outputs on the basis of limited, unlabelled and multi-modal information. This adaptability empowers the entire healthcare ecosystem - patients, providers, and health systems - to achieve better outcomes.
Reduce clinician burnout and eliminate repetitive tasks with document AI, ensuring accurate and compliant documentation. Use cases include medical chart summarization, search and query, prior authorization automation, AI-assisted coding suggestions, billing, and continuity of care documentation.
Transform the patient experience with intelligent, 24/7 virtual health assistants and lifelike digital avatars to support health system navigation and scheduling, symptom assessment and triaging, and care plan adherence.
Equip healthcare professionals with enhanced AI imaging for diagnosis, synthetic patient data generation and risk prediction for pandemic preparedness, improving overall care delivery and management.
Gain comprehensive patient insights for faster, targeted care with Patient 360 enriched EHR data, personalized treatment plan generation, and tailored patient education.
Boost workforce efficiency and resource allocation with AI-powered tools for predictive staff scheduling and automated training materials generation.
Quantiphi champions the responsible development of generative AI in healthcare, prioritizing patient privacy and ethical principles. We leverage synthetic data to enable secure collaboration and data sharing across institutions, ensuring compliance with HIPAA and other regulations. By emphasizing fairness, accountability, and inclusivity, our responsible AI framework is designed to support a future where healthcare advancements are seamlessly aligned with necessary privacy and security measures.
We were awarded “Google Cloud Social Impact Partner of the Year 2019” and “Inc.’s 2022 Best in Business Award in the Established Excellence’, demonstrating our commitment towards delivering AI in a manner that is scalable, secure and safe. Here's what our clients think about us.
From diagnosis to treatment, our generative AI solutions seamlessly integrate into the healthcare journey, solving what matters most to you and your patients.
baioniq is Quantiphi's award-winning, enterprise-ready Generative AI platform. This advanced system leverages Large Language Models (LLMs) for unlocking insights from unstructured data, and is available for deployment on cloud or on-premises, ensuring data privacy and security. baioniq streamlines generative AI adoption across industries with its modular approach, while strategic partnerships with Google Cloud, NVIDIA, and AWS enable seamless integration and scalability.
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Quantiphi empowers healthcare providers with custom AI solutions, leveraging deep industry expertise and cutting-edge technology alongside trusted partners like AWS, Google Cloud, and NVIDIA. This collaborative approach ensures the development of trustworthy AI that tackles healthcare's toughest challenges. By partnering with healthcare systems, Quantiphi tailors solutions to optimize patient care and deliver quantifiable results. This unique combination positions Quantiphi as an ideal partner for shaping the future of safe, secure, and effective healthcare.
We manage the entire Gen AI solution development lifecycle starting from data collection and preprocessing, domain training, fine-tuning (SFT/IFT), deployment, as well as monitoring and maintenance, which include RLHF and inference management.
Leverage our expertise in orchestrating hardware, software, and hyperscale infrastructure, exemplified by partnerships with tech leaders such as Google Cloud, AWS, and NVIDIA.
We assist in deploying Gen AI solutions in either your cloud or on-premise environment, enabling your models to learn and enhance based on your organization's data while maintaining full data privacy.
Ensure the highest regulatory standards native to your industry for security, privacy, and compliance, including adherence to HIPAA, GDPR, SOC 2, and others.
With several leading patents and whitepapers, our R&D team is advancing Generative AI innovation to improve the helpfulness, performance, and safety of LLM-based architectures, enabling our enterprise clients to access breakthrough innovation in-house.
We’re committed to embedding the principles of Responsible AI across our Generative AI solutions portfolio. Overcoming Gen AI challenges such as hallucination, toxicity, bias, and ensuring safe real-world implementation are core to our mission.
Technical Complexities
Generative AI involves intricate algorithms and model architectures, necessitating expertise in selecting the right architecture and fine-tuning hyperparameters for specific tasks.
Data Challenges
High-quality data is paramount for generative model training, requiring experts to oversee data acquisition, labeling, and preprocessing to meet stringent standards.
Advanced Integration
Experts are essential to ensure smooth integration of generative AI techniques, tackle compatibility issues with legacy systems, and facilitate cross-team coordination.
Domain-specific Customization
Industries have unique requirements, and experts with industry-specific knowledge are vital to customizing generative AI solutions, ensuring they align with industry-specific needs and challenges.
Security and Compliance
Generative AI often handles sensitive data, and experts in cybersecurity and compliance are indispensable for safeguarding data security and maintaining regulatory compliance.
Ethical Considerations
Addressing ethical concerns such as bias and fairness is crucial, and experts in AI ethics are essential to guide responsible development.
Generative AI enhances patient outcomes by automating time-consuming tasks, such as clinical note generation, treatment plan creation, and real-time vital sign monitoring, allowing providers to focus more on patient care. By leveraging synthetic data and analyzing vast datasets, generative AI also provides valuable insights for proactive risk management and personalized care planning. Our generative AI suite of solutions for providers is built keeping these objectives in mind.
Yes, generative AI solutions from Quantiphi are designed to seamlessly integrate with existing healthcare systems and EHR platforms. Our solutions are customizable to adapt to different environments, ensuring compatibility and interoperability with your current infrastructure. Our proprietary generative AI solution, baioniq, is designed to integrate with our client’s internal environment and systems.
Quantiphi prioritizes patient privacy and data security by championing responsible AI development practices. We leverage synthetic data to enable secure collaboration and data sharing across institutions, ensuring compliance with regulations such as HIPAA. Our responsible AI framework emphasizes fairness, accountability, and inclusivity, aligning with necessary privacy and security measures in healthcare.
Yes, our generative AI solutions include features for regulatory compliance and audit support. We provide automated coding and billing functionalities, ensuring accurate and compliant documentation for procedures and diagnoses. Additionally, our solutions analyze documentation for compliance with healthcare regulations and standards, facilitating regulatory adherence and audit readiness.
Yes, our generative AI solutions are designed to adapt to evolving healthcare practices and guidelines. We leverage the power of large language models (LLMs) to dynamically provide care, and diagnosis and recommend interventional care based on the latest medical literature and treatment guidelines. Our solutions also support dynamic treatment adaptation, ensuring that interventions align with changing health conditions and evolving best practices.
Quantiphi stands out in delivering generative AI solutions for healthcare providers due to our extensive expertise, commitment to responsible AI development, and proven track record of success. As the recipient of prestigious awards such as the "Google Cloud Social Impact Partner of the Year 2019" and "Inc.'s 2022 Best in Business Award in the Established Excellence," we demonstrate our dedication to delivering AI in a manner that is scalable, secure, and safe. Quantiphi’s very own generative AI platform, baioniq, is a testament to our continuous innovation and achieving customer excellence. Each of our solutions is tailored to every stage of the patient and provider journey, helping healthcare organizations transform provider operations and improve patient outcomes.
Free Executive Briefing
Gain a comprehensive understanding of generative AI, its applications, and its potential impact on the life sciences industry. Explore case studies and discuss strategies for leveraging generative AI to drive innovation within your enterprise.
2 hours
Executive Masterclass
This exclusive masterclass equips life sciences executives to be generative AI champions. We'll delve into the strategic implications of AI, showcasing how it can unlock efficiencies across every stage of the value chain, and highlighting its potential to drive innovation, accelerate research, and enhance profitability for life sciences enterprises.
6 hours
Use Case Discovery & Prototyping
Dive into a day dedicated to designing generative AI applications that address the unique challenges of your enterprise. Experience the journey from ideation to prototyping, with expert guidance to design and test a minimum viable model (MVM) for your life sciences needs.
1 day
Hands-on Labs/POC
Collaborate with a team of our programmers, designers, and engineers to brainstorm and build a working proof of concept (POC) and bring your generative AI application for life sciences to life.
3 days
Path to Production
Navigate the complexities of integrating generative AI into your existing R&D processes. Design a comprehensive roadmap for production, ensuring your generative AI solutions seamlessly align with and enhance your existing infrastructure, delivering immediate value and long-term efficiency gains for your life sciences organization.
1 day
Our seasoned experts provide invaluable guidance and trusted advisory services as you embark on your Generative AI journey with us. Leveraging industry leadership and a deep well of expertise, we ensure a seamless onboarding process, deliver comprehensive solutions, and institutionalize Generative AI capabilities within your organization.
Ongoing
Duration
Accelerate product development and drive business outcomes using generative ai models across the enterprise
Gen AI COE
Institutionalize generative ai capabilities within the enterprise
6-12 Week
Duration
Prove capability of Generative AI for a high impact use case, leverage Generative AI to build an impactful solution and deploy it in production
Gen AI Build
Pick a high impact use case and solve it using Generative AI
1 Week
Duration
Executive briefing on Gen AI, use case discovery & prototyping, hands on labs/POC, path to production
Gen AI Onboarding
Brainstorming and synthesizing ideas to address unsolved problems for an industry