"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."
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
- 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
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.
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
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)
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.
Results Report - Analytics
With the digitized service, obtain insights on the journey and profile of patients, optimizing their processes and resources.
average reduction in cost per patient *
reduction in the average length of hospital stay (LOS) per patient
What They Say About Us
"We started using Laura Digital PA in UGF from the second half of 2020, which has helped us to screen patients in need of telemonitoring by health professionals, or in need of face-to-face medical evaluation of patients who can be monitored through Laura's Whatsapp."
Dr. Raphael Corrêa Santa RittaMedical Adviser on Health Intelligence - Unimed Grande Florianópolis
“Laura is a tireless assistant who does not leave our patient's side, day and night, seven days a week and always helping us to notice a change in the patient's clinical condition”
Dr. Teresa SukiennikService Director - Santa Casa de Porto Alegre
“The initiatives that we are conducting together with Laura have helped us to unravel the pain of our cancer patients' journey and to create and implement digital solutions that bring us closer and improve both the outcomes and the experience with the A.C.Camarco Cancer Center.”
Marcos CunhaBusiness Director - AC Camargo
"With Laura's platform it is possible to cover a much larger number than the ones which the capacity of health services has to do it person to person, and the pandemic ended up being a very interesting example of what is possible to be monitored by an intelligent system."
Beatriz NadasSuperintendent of Curitiba Health Department
“From the first moment that Robô Laura won our Innovation Challenge, we noticed that they have an advanced platform for health innovation. From the Digital Emergency Service using Artificial Intelligence to maximum efficiency in the care of stroke patients, we understand that we have found a robust Startup that brought solutions that greatly add to a Hospital of Excellence such as the Hospital Alemão Oswaldo Cruz”
Ph.D Kenneth AlmeidaExecutive Director of Innovation, Research and Education - Hospital Alemão Oswaldo Cruz
"Laura's AI solution allowed us to see a reality that was previously unknown to patients, early identifying patients at risk of clinical deterioration, anticipating actions, which is in line with our policy of access and patient flow."
Dr. Marcius PrestesMedical Flow Manager - Hospital Mãe de Deus
“Our partnership with Laura has brought many benefits to patients admitted to partner hospitals. The possibility of reducing hospital stay and reducing mortality by earlier approaches have a great assistance value, which is in line with our value proposition to our customers ”
Dra. Aline AmorimB2B Business Manager - Grupo Fleury
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