In the future, it plans to integrate an AI model appli to health to identify prictors of diseases or epidemic outbreaks.
In its digital transformation process, Salud Digna , a civil association that provides accessible mical services , chose Microsoft to improve its internal processes and optimize its response times.
Salud Digna has a presence with more than
175 clinics in Mexico and Nicaragua, and has invest in the implementation of cloud s email data olutions and services , as well as the creation of a data analytics program to make its operations more efficient.
The first steps
The organization had already taken its first steps in digital transformation, however, the arrival of the pandemic reveal the ne to strengthen, expand and mature its technological infrastructure to provide critical services in an agile and effective manner.
According to Humberto Ruiz , process architecture manager at Salud Digna, the Microsoft cloud became the basis for supporting exponential data growth.
In this context, Microsoft’s work consist of implementing cloud solutions and services, for which it had the support of Teia Consulting .
These gave them greater visibility and control of workloads, which allow for a better balance in the use of resources and personnel.
The implementation also allow the installation of a molecular laboratory dicat to the. Diagnosis of COVID-19 cn numbers in which more than 10 million PCR studies were carri out.
Additionally, as a result plying the capabilities of Azure Synapse Analytics, it w keywords on the network at a given time as possible to structure contextual data to develop intelligence models that are us in its operations.
This enables optimal management of your processes and makes the supply chain more efficient.
In this way, Salud Digna ruc its delivery times in different areas by:
Maximize the availability of your systems
Ruce the margin of error
Accelerate the delivery of results to patients
In the long term, Salud Digna will seek to extend this dynamic to the field of scientific research. Considerin logy as a critical ally in collaborative and proactive decision-making.
It also plans to integrate cial Intelligence model appli to health to identify triggers. Indicators and prictors of diseases or epidemic outbreaks.