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Quick Filters: Reset Generative AI Supply Chain
Found 64 verified outcomes
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Clinical Research verified Verified

Decentralized Clinical Trials (DCT)

Traditional trials require patients to travel to sites, leading to high dropout rates and lack of diversity in study populations. Data was siloed in different systems for eCOA, eConsent, and EDC.

domain Salesforce / MuleSoft public Global
Key Outcome Increased patient retention rates Primary Impact View Case
Healthcare & Life Sciences verified Verified

AI-Assisted Colonoscopy (MedTech)

Adenoma detection rates (ADR) in colonoscopies vary significantly between physicians. Missed polyps can lead to interval cancers. Human fatigue is a major factor.

domain NVIDIA / Cosmo Pharmaceuticals public Global
Key Outcome 50% reduction in missed adenomas (clinical trial data) Primary Impact View Case
Healthcare & Life Sciences verified Verified

Smart Inhalers & Respiratory IoT

Asthma and COPD management relies on patient adherence, which is notoriously poor and difficult to track. Clinicians lacked objective data on whether medication was taken effectively.

domain AWS IoT / Serverless public Global
Key Outcome FDA-cleared digital inhaler portfolio Primary Impact View Case
Healthcare & Life Sciences verified Verified

Data Science Workbench for R&D

Data scientists worked locally on laptops or fragmented servers. This led to 'it works on my machine' issues, inability to reproduce old experiments, and security risks with local data storage.

domain Domino Data Lab public Global
Key Outcome Used by >1,000 data scientists Primary Impact View Case
Healthcare & Life Sciences verified Verified

Cloud Migration of Entire Digital Ecosystem

On-premise data centers were rigid, creating silos that hindered the vision of a 'frictionless' digital experience for patients and providers. Security updates and scaling were slow.

domain AWS public Global
Key Outcome Migrated 4 million patient records in 14 months Primary Impact View Case
Healthcare & Life Sciences verified Verified

Generative AI for Patient Communication

Clinical staff were overwhelmed by follow-up calls explaining lab results to patients, reducing time for direct care. Patients struggled to understand medical jargon.

domain Microsoft Azure OpenAI Service public Global
Key Outcome Thousands of patient interactions handled Primary Impact View Case
Healthcare & Life Sciences verified Verified

Observability for Clinical Uptime

IT downtime in a hospital isn't just an inconvenience; it impacts patient care. The organization lacked real-time visibility into the health of critical apps like Epic and imaging systems.

domain Splunk public Global
Key Outcome Reduced Mean Time to Resolution (MTTR) Primary Impact View Case
Healthcare & Life Sciences verified Verified

Quantum Computing for Biomedical Research

Traditional high-performance computing (HPC) hits physical limits when simulating complex molecular interactions for drug discovery, slowing the identification of viable therapeutic candidates.

domain IBM Quantum public Global
Key Outcome First private-sector quantum computer in healthcare Primary Impact View Case
Healthcare & Life Sciences verified Verified

AI-Powered Medical Imaging (Foundation Models)

Radiologists are facing burnout from increasing scan volumes. Developing specific AI models for every condition is slow and requires massive labeled datasets.

domain AWS public Global
Key Outcome Faster development of AI imaging apps Primary Impact View Case
Healthcare & Life Sciences verified Verified

Digital Cytology for Cancer Screening

Pap test screening relies on cytologists manually reviewing glass slides, which is labor-intensive, error-prone due to fatigue, and difficult to staff.

domain Google Cloud public Global
Key Outcome 28% reduction in false negatives (high-grade) Primary Impact View Case
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