PERSOWN Analytics

Continuous analytics and AI solutions that overcome current healthcare data fragmentation to deliver real-time predictive analysis for clinicians, researchers, and governments improving standards of care that can save patient lives and reduce healthcare costs.

PERSOWN and SAS partnership

PERSOWN and SAS technologies present a new real-time information exchange infrastructure for hospital and at-home patient monitoring.

Using SAS AI-driven big data analytics platform with the PERSOWN diagnostic and monitoring device ecosystem, we will deliver a sepsis-focused reporting product suitable for hospital, point-of-care, or at-home use.

Click here to learn more about our partnership.

Learn more about SAS life sciences analytics.

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RECENT NEWS

PERSOWN Analytics, Inc. engages M.M. Dillon to secure $40 million in capital

Jan 9, 2024

Leveraging Generative AI, PERSOWN will use capital to accelerate a transformative healthcare analytics solution January 9 2024. Jacksonville, Florida-based PERSOWN Analytics, a trailblazer in healthcare analytics, and investment bank M.M. Dillon & Co. have...

EMPOWERING CLINICIANS, GOVERNMENTS AND RESEARCHERS TO MAKE INFORMED DECISIONS FOR AT-RISK PATIENTS EVERYWHERE.

Delivering lab-quality diagnostic results in seconds
Gathering billions of integrated data points across various disease states across multiple monitoring devices
Using powerful SAS artificial intelligence, visual analytic and data management software, to uncover infection trends and visualize disease patterns to better monitor and predict onset.

Clinicians worldwide will have access to near real-time feedback through predictive analytics allowing for faster, more informed personalized treatment while improving patient outcomes and reducing costs.

Healthcare organizations will be able to track patient conditions using the latest rapid point-of-care diagnostic tools under an open analytical cloud framework.

REAL-TIME ACCESS TO SAS ARTIFICIAL INTELLIGENCE

These early insights will help governments and health organizations implement practices that reduce disease spread, mitigate impact, and create early interventions to improve patient outcomes. We can catch Sepsis before Sepsis catches the patients.

Billions of integrated data points across various disease states across multiple monitoring devices

PERSOWN’s Connect App, Cloud & Gateway Device feeds data to SAS allowing real-time access to SAS AI resources predictive analytics

Information that healthcare providers need to make decisions

PERSOWN and SAS will provide patients, clinicians, governments, and research institutions across the globe real-time patient monitoring for multiple post discharge conditions.

CONTINUOUS ANALYTICS PROCESSING SYSTEM (CAPS)

Expanding healthcare from the hospital setting into the patient’s everyday life – giving hospital access to patients across the globe with frequent POINT-OF-CARE testing and electronic health records control in the palm of your hand with Smartphone app technology.

IDENTIFY CONCERNS EARLIER BEFORE PROBLEMS OCCUR

Enables patients to transmit health data to clinicians anywhere
Creating interoperable electronic health data
Is handheld with smartphone connectivity
Embraces all IoT’s and IT systems

Smart devices
Scales
Blood Pressure monitors
Oximeters
Hospital monitoring equipment

Real-time monitoring from anywhere

USING IOT’S AND SAS ARTIFICIAL INTELLIGENCE – CAPS WILL LEAD TO MORE INFORMED DECISIONS AND EARLY IDENTIFICATION & TREATMENT

Real-time information processing Integrate nearly every type of information embrace third-party IT systems

SAS predictive analytic engine real-time access to SAS AI resources

Near real-time reporting and alerting

CLINICIANS WILL BE ABLE TO MONITOR MULTIPLE PATIENTS AT ONCE

SAS predictive analytic engine real-time access to SAS AI resources

Real-time information processing Integrate nearly every type of information embrace third-party IT systems

WE’RE SEEKING INTEGRATION PARTNERS

We plan to build the largest and best managed health dataset in the world. We seek partners that actively support APIs to enable users to have transparent interoperability of their health-related data.

We seek collaborative hospitals from around the world to launch the CAPS platform for clinical researchers and treatment protocol analytics.

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