AI for

Healthcare & Life Sciences

Enhance Patient Outcomes and Medical Research with AI

SEE Shakudo IN ACTION

Use Cases for AI in Healthcare & Life Sciences

Shakudo is proud to be working with leading Healthcare & Life Sciences organziations on many AI use cases, including:

Accelerate Clinical Data Queries

Enable clinical staff to convert simple language into complex SQL queries, facilitating non-technical user interaction with large medical databases.

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Secure In-House Knowledge Base

Deploy a hosted large language models to allow staff to securely query internal handbooks and databases, ensuring fast, reliable access to organizational knowledge without external data exposure.

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Intelligent Patient Triage

Assess patient symptoms via chatbots and NLP to optimize ER wait times and resource allocation.

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Intuitive Medical Research Queries

Enable researchers to ask complex questions in plain language and get relevant results from vast biomedical databases.

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Bespoke Shakudo Stacks for Healthcare & Life Sciences

Tried-and-true use cases for Healthcare & Life Sciences that can be deployed in days

Create and Manage SOPs with AI Automation

Automate Clinical Documentation with AI Note Generation

Streamline Electronic Health Records

Streamline Hospital Staffing with AI Demand Forecasting

Curing the Healthcare Data Disconnect

With petabytes of patient data scattered across legacy EHRs, PACS archives, and research databases, teams struggles to derive timely clinical insights. Queries that could improve patient outcomes sit untouched, as overburdened IT staff grapple with fragmented systems and complex compliance requirements.

Across the healthcare spectrum, from small practices to major research hospitals, the promise of Big Data remains largely untapped. Siloed information, technical skill gaps, and strict regulatory standards leave valuable knowledge locked away. But what if there was a way to unify these disparate data assets, making them securely accessible and actionable for every stakeholder?

Enter the Shakudo - the operating system for data and AI- an intelligent platform that brings order to the chaos of healthcare information. By integrating leading AI tools and automating data workflows, Shakudo empowers clinicians, researchers, and administrators to finally harness the full potential of their data. With intuitive interfaces and robust compliance features, it's the remedy healthcare has been waiting for.

Why Industry Leaders in Healthcare & Life Sciences Choose Shakudo

Seamless Integration with Healthcare Data Sources

Simplify the process of connecting to diverse healthcare data sources, including EHRs (Epic, Cerner), clinical trial management systems (Medidata Rave), and real-world evidence platforms (Flatiron Health).

Automated Scaling for All Medical Data Types

Shakudo is built on Kubernetes and dynamically allocates compute and storage resources to efficiently handle diverse healthcare data, from EHRs to genomic sequences.

Rigorous Compliance and Security Standards

Shakudo is SOC 2 compliant, with further compliance certifications pending. We prioritize the security and integrity of your data, ensuring all operations meet the strictest standards to safeguard sensitive information.

Open-Source Flexibility and Innovation

Shakudo supports a wide array of open-source tools, enabling healthcare organizations to stay at the forefront of technology without being tied to proprietary solutions. This approach not only secures your data but also fosters innovation by allowing teams to experiment with and deploy new tools as their needs evolve.

Unlock AI in Healthcare & Life Sciences

Shakudo is dedicated to empowering healthcare and life sciences organizations to overcome the challenges of data complexity and security with the operating system data and AI. By integrating industry leading tools into your data stack, you gain not only unified interface for all your data tools, but also a strategic partner in driving innovation. Contact us today to see how we can help you harness the power of AI to transform patient care and accelerate research outcomes.