Analytics for healthcare professionals
Intervene earlier, personalize care, and improve patient safety through faster, more accurate diagnoses and better treatment planning based on data-driven insight.
KNIME powers healthcare with data science
Combine clinical and patient data and protect patient health with more accurate diagnoses.
Improve the quality of patient care through faster insights into patient health.
Ensure patient health data privacy with auditable processes, automation, and on-time reporting.
More success stories
We needed a tool that allows us to build data pipelines in a low-code way, and of course if there was a need to go deeper, then with KNIME you can. You can code, you can put in Python scripts, you can put in SQL scripts - it's all possible.
Marcel Meyer, Head of Data Governance and Management, SIEMENS Healthineers
Why KNIME for healthcare
Sophisticated analytics, intuitive interface
- Perform complex operations in a tool that is simple for all stakeholders to use. KNIME’s intuitive interface enables medical practitioners through to healthcare administrators to make sense of data without needing to code.
- Don’t let ease of use compromise functionality. Enable data scientists and more advanced technical users to model in the environment or tool of their choice through integrations with AI/ML libraries, and scripting languages like Python, R and more.
Enterprise-scale data privacy and security
- Ensure patient health data remains private and secure while still making the data accessible enough to give professionals what they need.
- Address security and control with native KNIME functions such as versioning, tracking, and mapping metadata, all via a centralized administration.
- Enable healthcare professionals to collaborate on and share work, as well as expand the use of analytics across teams, within a secure platform.
A complete data science platform
- Ensure healthcare data is easily collected and merged to avoid missing data and avoid incorrect treatment decisions.
- Address everything from collecting data, through to applying novel and highly advanced AI-based algorithms on big datasets, and putting them into production within one platform.
- Design, test, validate, and automatically deploy models continuously for end-to-end data science life cycle support.
Future-proof with open source
- Discover and develop medical solutions using software that is flexible enough to enable innovation by seamlessly integrating new or improved algorithms.
- Keep teams on the bleeding edge of modern data science with KNIME. No vendor-developed tool can keep pace with the innovation driven by an active open-source user community.
