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Industries

Healthcare and Life Sciences

Utilizing AI to assist in clinical trials, predict patient needs, and create better health management tools

Fragmented data, legacy systems, and strict compliance requirements slow down innovation in healthcare From managing trials to delivering personalized care, healthcare and life sciences organizations face complexity at every level.

We help simplify and accelerate innovation—by combining AI, secure data infrastructure, and user-centered tools to improve outcomes, reduce costs, and support compliance

Future Trends

$0B+

AI in Healthcare Market

The global AI in healthcare market is projected to surge from $26.6B in 2024 to nearly $188B by 2030, a 38.5% CAGR driven by precision diagnostics, personalized treatments, and efficiency gains

0.00xROI

Rapid AI Payback

79% of healthcare organizations already use AI, achieving an average 3.2x ROI within 14 months through applications in imaging, predictive analytics, drug discovery, and patient care

0%↑

AI-Enhanced Early Detection

AI-powered imaging delivers up to 90% sensitivity in cancer detection, accelerating early diagnoses and enabling personalized therapies

Our use cases

AI for Clinical Trial Optimization

We can develop models that identify ideal trial candidates, monitor patient responses, and predict dropouts—improving recruitment and retention

Personalized Health Insights

We provide tools that generate tailored recommendations based on patient data—empowering proactive care and ongoing engagement

Secure Patient Data Infrastructure

We know how to manage sensitive health data securely—ensuring full traceability, access control, and compliance with global standards

AI Agents for Care Coordination

We can deploy AI assistants that support clinical staff—by summarizing records, scheduling tasks, and guiding administrative workflows

Real-Time Monitoring & Reporting Tools

We offer dashboards that track patient health trends, resource use, and operational efficiency—supporting faster, data-driven decisions

MVPs for Digital Health Products

We help bring digital health ideas to life—quickly launching secure, user-friendly apps for mental health, chronic care, or patient tracking

AI-Curated Insights

Oracle Health Clinical AI Agent, Clinical Note Helps UK Doctors Spend More Time on Patient Care - Oracle

Oracle Health Clinical AI Agent, Clinical Note Helps UK Doctors Spend More Time on Patient Care - Oracle

Oracle Health has launched its Clinical AI Agent, Clinical Note, in the UK, following a successful pilot at several NHS Trusts, including Barts Health and Imperial College Healthcare. This innovative AI solution is designed to transform the documentation process for clinicians by utilizing ambient voice technology to draft patient notes automatically during consultations. By reducing the time spent on administrative tasks, healthcare providers can focus more on patient care.

In recent trials, the AI agent has demonstrated significant advantages, with clinicians rapidly documenting visits and generating accurate records in real time. Users like Robin Kearney, a consultant at Milton Keynes University Hospital, reported that the tool has streamlined the note-taking process and improved communication among care teams, enabling timely and coordinated care for patients.

The UK Government's 10-Year Health Plan aims to leverage advanced technologies to enhance patient care, aligning perfectly with Oracle's commitment to improving operational efficiency within the NHS. By integrating AI into clinical workflows, Oracle Health's Clinical AI Agent addresses pressing challenges such as clinician burnout and administrative overload, allowing staff to allocate their time better and improve patient interactions.

The AI tool's impact is notable, with doctors in the U.S. having reportedly saved over 200,000 hours since its introduction a year ago. The broader deployment of this solution across the UK healthcare landscape underscores the growing significance of AI in enhancing clinical efficiency and delivering better patient outcomes, in line with government goals for healthcare innovation.

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Building AI Infrastructure for Healthcare: A Customer Success Story Zingage's 0 to 1 Story - Anthropic

Building AI Infrastructure for Healthcare: A Customer Success Story Zingage's 0 to 1 Story - Anthropic

Victor Hunt, Co-founder and CEO of Zingage, transformed a personal mission into an impactful AI-powered platform now serving over 400 home care agencies. In an insightful session, Victor demonstrates how his team harnessed Claude as the operational backbone for home care, enhancing processes such as scheduling, intake, billing, compliance, and crisis management through automation.

Attendees will learn how Zingage effectively navigated the complex challenges of developing agentic AI within a regulated, high-stakes environment, alongside live demonstrations of their innovative solutions.

Victor will be joined by Araba Koomson and William Hu from Anthropic, who will provide valuable implementation strategies and insights for creating AI-powered healthcare products.

Key takeaways from the session include:

  • Insights into transitioning from prototype to production in regulated healthcare, highlighting Zingage's successful architecture and deployment of Claude across numerous agencies, including lessons learned on building trust in care delivery.
  • Live demonstrations showcasing how Claude efficiently automates critical tasks such as scheduling, intake, billing, compliance, and crisis management in real time.
  • Practical guidance for founders and operators on scaling agentic AI within healthcare and life sciences, with an opportunity for participants to engage in a Q&A session with both Zingage and Anthropic's Applied AI team.

This session promises to equip attendees with concrete applications of AI and the tangible benefits they can create in the healthcare sector.

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Hillsboro Health Chooses AI-Powered Oracle Health Solutions to Help Advance Patient Care, Optimize Operations - Oracle

Hillsboro Health Chooses AI-Powered Oracle Health Solutions to Help Advance Patient Care, Optimize Operations - Oracle

Hillsboro Health has selected Oracle Health solutions to enhance patient care and improve operational efficiency at its 25-bed critical access hospital in Hillsboro, Illinois. The transition to an integrated Oracle Health Foundation EHR involves the implementation of the Oracle Health Clinical AI Agent, an AI-driven voice solution designed to automate clinical documentation. This enables healthcare providers to spend more time with patients rather than on administrative tasks.

Additionally, the hospital will adopt Oracle Health Seamless Exchange to streamline access to comprehensive patient records, which promotes coordinated care delivery across its network. These systems will enhance Hillsboro Health’s ability to provide a range of services, including emergency care, inpatient services, surgery, and therapy, while supporting the hospital’s growth and modernization efforts.

Michael Alexander, CEO of Hillsboro Health, emphasized the importance of integrating clinical systems as the hospital expands its services. The unified platform with Oracle Health’s AI solutions not only simplifies the workflow for clinicians but also enables them to focus on delivering high-quality care.

The integration of the Oracle Health Clinical AI Agent will allow clinicians to quickly document and retrieve patient information during consultations, as the AI can automatically generate structured notes from interactions. This reduces the administrative burden significantly.

Moreover, Oracle Health Seamless Exchange allows for secure data aggregation from various sources like immunization registries, thereby providing clinicians with a clean, comprehensive patient record. This accelerates access to crucial information and supports informed decision-making.

Seema Verma, executive vice president at Oracle Health, highlighted the commitment to bringing advanced technology to rural healthcare, aiming to maximize staff efficiency and enhance community healthcare connections.

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Top 10: AI Platforms in Healthcare - Healthcare Digital

Top 10: AI Platforms in Healthcare - Healthcare Digital

Top 10 AI Platforms in Healthcare
By Lucy Potter
February 11, 2026

Healthcare Digital highlights the Top 10 AI platforms revolutionising the healthcare sector to enhance patient care and outcomes through innovative technologies.

AI platforms are now critical in healthcare, enabling providers to glean insights from complex clinical data more quickly. By embedding intelligence into daily workflows, these platforms allow clinicians to make better-informed decisions, reducing burdens on overtaxed healthcare systems and allowing more focus on patient care. As costs rise and demands increase, the deployment of AI is paving the way for a more predictive and personalised healthcare model.

Here are the top AI platforms making a significant impact:

  1. Butterfly Network (US): A pioneer in portable ultrasound technology, Butterfly integrates AI to enhance imaging processes and decision-making right at the point of care.

  2. Caption AI (US): This platform empowers healthcare professionals with minimal training to capture high-quality diagnostic images using AI-guided ultrasound technology.

  3. PathAI (US): Specialising in digital pathology, PathAI utilises machine learning to improve diagnostic accuracy, particularly in oncology, enhancing workflow and biomarker identification.

  4. Merative (US): Built from IBM Watson assets, this platform provides crucial analytics and AI solutions to support clinical decision-making and population health management.

  5. Truveta (US): Leveraging de-identified clinical data, Truveta facilitates research and therapy development through AI-driven population health insights.

  6. Tempus (US): With a focus on precision medicine, Tempus employs AI to analyse clinical and molecular data, helping tailor personalised treatment approaches.

  7. Aidoc (Israel): Aidoc’s platform optimally integrates multiple AI algorithms in clinical workflows, prioritising and triaging medical imaging for better collaboration.

  8. Google Cloud Healthcare (US): Offering AI-native tools, this platform enhances interoperability and large-scale analytics across clinical and research data.

  9. AWS HealthLake (US): This fully managed platform transforms and analyses clinical information while adhering to FHIR standards, fuelling global healthcare AI initiatives.

  10. Microsoft Dragon Copilot (US): As the leading AI platform for clinicians, it reduces administrative burdens and enhances patient care through ambient clinical intelligence and automated workflows, solidifying its essential role in healthcare operations.

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