Connected Diagnostics
Improving health at all levels by Connecting Diagnostics Data

The CDx Platform is an aggregator of medical diagnostics data, allowing health workers and organisations to efficiently acquire, manage, store, and visualise diagnostic results and related data across devices, regardless of its manufacturer.

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The problem

Capturing patient information to register test orders involves correlating several pieces of data.
Tracking samples from the extraction all the way to diagnosis and disposal requires careful workflows.
Overburdened health workers need a simple and safe way to drop samples collected.
Samples need to be tracked and correlated to device results in standard and secure ways.
Device manufacturers need anonymized non-clinical data on how their devices are performing, to improve them and provide quality support.
Laboratory technicians need to focus on their work without having to process paper forms or manually entering results into LIMS.

Our approach

Universal data processing

Data from any device in any format can be connected to CDx via a simple toolkit that transforms, adapts and protects the information.

Data flows

Private information is stored securely. Flexible policies determine what is shared with different stakeholders at any aggregation level.

Application extensibility

A rich API enables interoperability with external systems and extensions for new needs.

Areas

Functional area
How can CDX help
Device Manufacturer Support
Provide manufacturers with visibility of device performance enabling them to improve the return on investment of diagnostic devices without compromising privacy.
  • Remote device management
  • Device calibration
  • Cartridge and lot error rates
  • Device relocation, “gone dark”
  • Quality after-sales support
Healthcare
Improve the efficiency and timeliness of diagnosis.
  • Notify clinicians of their patient’s results
  • Notify patients to collect their results
  • Reduce loss to follow-up
Health Systems Management
Monitor and and improve effectiveness and efficiency of health systems
  • Supply Chain (forecasting, order validation, expiration alerts)
  • Facility Resources (location/amount/device usage/cartridges)
  • Human resources (errors, training, performance)
  • M&E of programs
Public Health Disease Surveillance
Monitoring and responding to public health concerns
  • Regional surveillance networks
  • Burden of disease estimations
  • Reports to funders, governments, WHO, etc.