Healthcare data discovery and analytics for researchers and healthcare professionals
Imosphere offers a self-service analytics platform, Atmolytics, that can explore, prepare and visualize your healthcare data more easily than ever before
Major applications include
Provides unique population health data analytics, helping you design higher quality and efficient services.
Build tailored disease registries and analyze your datasets in a single environment.
Speeds up the ability of researchers to identify patients and gain approval for clinical trials and studies.
Putting healthcare BI data discovery and visualization into the hands of people who can make a difference.
Used by informatics teams, data experts and non-technical end users
- Easy to use, with no database or querying skills needed
- Gain actionable insights across your organization's data
- Create system-wide views of healthcare populations
- A single source of truth for your healthcare data
- Build trust in your analysis, reporting and decisions
Used across healthcare, research centers and universities in the US, the UK's NHS and the EU
Atmolytics' self-service data mining capabilities go beyond anything I've previously seen or used. It's helping to provide our users with a complete picture of their population and supporting them to discover powerful insights in hours, not months. In some cases, it's shaving years off their research timelines.
Charles Boicey, MS, RN-BC - Chief Innovation Officer
Imosphere has been working with a leading cancer research institute in the US, to implement a next-generation data ecosystem to support their disease registry teams in accelerating clinical research.
A cancer research center has implemented Atmolytics to support an 'Honest Broker' system which is speeding up the ability of researchers and Principal investigators to identify patients that meet the criteria for a clinical study or trial.
Clearsense, a key partner of Imosphere, used Atmolytics' technology to help Meharry Medical College launch a data science institute and drive predictive insights for underserved patients in fewer than 24 months.
By storing King's College London's data into Atmolytics, we were able to deliver reproducible research with increased transparency and trust.
Postgraduate Research Lead - School of Population Health and Environmental Sciences
King's College London
What makes Atmolytics different?
Built specifically for healthcare by clinicians and data science experts.
Doesn't require IT or technical skills to use.
Identify patients with complex clinical criteria.
Scales across organizations and their data.
Tracks trends with real-time notifications of joiners and leavers.
Comprehensive security model for access to patient data.