Unleashing the power of global health data

Edge Technologies Linking Care Data for At-Scale Analytics with AI Modeling to Improve Outcomes & Lower Costs


artificial intelligence data

PERSOWN has partnered with the global leader in analytics, SAS.

With powerful SAS artificial intelligence, visual analytic and data management software, PERSOWN Analytics can effectively harmonize detailed patient data to reveal predictive trends and track care interactions to visualize hot spots of concern to better monitor and predict outbreaks within a facility or up to broad scale country maps.

These early insights will help governments and health organizations implement practices that reduce disease spread, mitigate impact, create early interventions, and save lives.

Learn more about SAS life sciences analytics

Continuous Analytics Partnership

To harness this potential, PERSOWN has partnered with the global leader in analytics, SAS. With powerful SAS artificial intelligence, visual analytic and data management software.

Learn more about SAS life sciences analytics

SAS logo
SAS analytics software

Using Rapid Analytics and Artificial Intelligence powered by SAS Viya on disparate data gathered from hospitals and patient services vendors, PERSOWN Analytics can help identify patient centric patterns earlier and develop new standards of care improving community based care.

Secure, Interoperable health data

PERSOWN Analytics will interoperate with a constantly evolving set of health-related apps and services.

Our goal is to integrate granular patient data with best-of-breed technologies from country-level databases to clinic-level electronic medical records systems in the field.

The combination of these technologies will facilitate health care operations of patients, providers, organizations and governments


Connection to vendor data resources, third party testing and monitoring devices, and IoT’s. Easy patient setup.

  • Simple & instant enrollment of new patients via SMS texts using any smartphone.
  • Integration and connectivity with existing EHS, telehealth, pharmacy, and IoT health measuring devices.
  • Data availability in the PERSOWN Cloud.
  • Data recorded instantly to local partner cloud.
  • Management dashboards via SAS.
  • SAS AI analysis and reporting, assisting with diagnosis and treatment.


Ownership and control of lifetime health records, providing control to the patient of their health.

  • Direct their health data to be shared with desired healthcare providers and systems. 
  • Maintain access, ownership and control of health records and decide where health related data is sent.
  • Connect and request access to IoT healthcare devices.
  • Auto launch and enroll in other health apps from the Connect app using secured data protocols.


Advance healthcare and provide a voice to the patient.

  • Bringing together stakeholders across the continuum of diagnosis, treatment, and care to advance innovative solutions to sepsis and save lives.
  • Research opportunities that can advance healthcare and save lives.
  • Better patient advocacy.


Develop the necessary tools to raise awareness, better educate, monitor and treat populations.

  • Establishment of nationwide registry data to estimate sepsis instances to improve policy.
  • Collaboration with clinical organizations to implement sepsis awareness efforts.
  • Better access to healthcare for their populations

Linking Diagnostic Data to Healthcare Infrastructure

Designed for Providers

To connect to in-country resources, third party testing and monitoring devices.

Designed for Patients

To give worldwide access, ownership, and control of lifetime Health Records.

All product and company names and logos are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with, or endorsement by, the companies which they represent.

We embrace RPM & Global systems integrators

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

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