"It is the support of artificial intelligence for assistance which has always existed. We have achieved more speed and the guarantee that no patient will have a cardiorespiratory arrest or enters a sepsis course without being mapped by the team or having already an orientation of activities or assistants for this patient."
Clinical Deterioration
Increase the ability to identify patients at risk of clinical worsening in advance using a decision support tool with A.I. Use the data straight from your electronic medical record.
*INTEGRATED APPLICATIONS WITH THE MAIN ELECTRONIC PRONTURÁRIOS OF THE MARKET
About the application
Value Proposition
- Identify the most severe patients in advance
- Scale your team's service capacity
- Reduce length of hospital stay (LOS) by increasing bed turnover efficiency
- Reduce overall mortality
- Increase care quality and patient safety
- Manage data-based, reports and analytical insights.
- Reduction of communication failures through communication interfaces such as care management dashboards at sight.
application integrated with the main electronic medical records of the market
How it works?
Find out more about the details of the application






01
Analysis of all inpatients
Connecting Laura to the data already existing in the electronic medical record, our machine learning algorithms and our protocol engines begin to capture and analyze the imputed data.

02
Risk ranking
After analyzing the indicators of the last 5 collections of vital signs, artificial intelligence makes a classification of the risk of the patient’s clinical deterioration.
Ranking can also be done using the automated protocols MEWS, NEWS, PEWS, and quickSOFA

03
Clinical Alert
With the classification ready, the system communicates the assistance team through an intuitive dashboard and/or direct messages in order to generate a human evaluation through the rapid response team. (RRT)

04
Process alert
With the classification ready, the system communicates to the assistance team through an intuitive dashboard which are the pending steps in the process of each patient.

05
Results Report - Analytics
With the digitized service, obtain insights on the journey and profile of patients, optimizing their processes and resources.

Our Numbers
Laura's impact
6K
average reduction in cost per patient *
10%
reduction in the average length of hospital stay (LOS) per patient


Testimony
What They Say About Us
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