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"Unlock the power of advanced analytics and foresee preventable events!

ABOUT US

What is Prediktiva?

Prediktiva is a platform developed by Sinergia Salud Consulting Group that allows for the development of predictive health models to anticipate the occurrence of preventable events, by understanding in detail the costs and losses through which a patient can experience their debut based on severity, risk, and progressiveness.

Prediktiva has made progress in the development of mathematical and linear regression models, thanks to the implementation of comprehensive healthcare models and the identification of cohorts based on intervention subgroups, considering their classification and risk exposure. This ensures the sensitivity and accuracy of the predictive models.

OPERATIONAL INSIGHTS

How does it work?

Prediktiva integrates existing clinical data with mathematical models and non-sensitive patient data to identify the severity, progressiveness, and costs of an adverse event occurrence. Its goal is to anticipate these events and apply healthcare intervention strategies (pharmacological and non-pharmacological) from primary care, thereby reducing the risk and occurrence of complications or admission to Intensive Care Units.

+ 4 years

Of machine learning experience

+ 1 million

Patients attended

+ 3.2 million

Data processed

UNLOCKING THE POWER

Exploring the Benefits

Healthcare stakeholders can make better financial decisions regarding healthcare investment by leveraging the best available technologies. They can achieve this by adopting comprehensive healthcare models supported by reliable and timely information, enabling them to anticipate complications, prevent diseases, or predict events that are now foreseeable through the use of predictive health models.

INCREASING ENGAGEMENT

of healthcare technologies among their clients

GREATER MARKET

through intelligent tools like Prediktiva.

RELIABLE AND TIMELY INFORMATION

COLLECTIVE CONECTIONS

Groups of Interest

People and entities can be expert clients in the use of these applications or ordinary individuals interested in deepening their knowledge of artificial intelligence.

Market Access Directors or Coordinators in the Pharmaceutical Industry

Managers or Directors of Health, Risk Management, or Finance in Insurers and Payers

Government Personnel or Entities such as Ministries or Public Health Agencies

Academia and/or Patient Associations

Patients or Representing Associations

Professional Guilds and Scientific Society

CASE STUDIES

Impact and results

Our team at Prediktiva has embarked on an extraordinary journey, partnering with organizations to tackle complex challenges and unlock the true potential hidden within their data. With a passionate focus on developing robust predictive models, we have achieved remarkable outcomes that have exceeded expectations and surpassed conventional wisdom.

Assigning the correct therapy to the right patient.

Estimating the cost of a population with Type II Diabetes Mellitus based on clinical variables established by international management guidelines for the disease.

Use of Data Analytics in Predictive Models for Population with Obesity

Developing and validating a predictive model for the development of Type II Diabetes in a population with varying degrees of obesity and calculating the costs of not intervening in obesity.

Application of obesity classification according to disease stage, a novel proposal

Classifying the population with overweight and obesity according to body mass index and severity stage of the disease according to ACE classification.

Overweight and obesity, a burdensome disease

Characterizing and determining the related costs in a population with overweight and obesity in the Colombian Atlantic Coast.

Unlock the power of advanced analytics and foresee preventable events. Stay steps ahead with accurate predictions and make informed decisions.

CLIENTS

Our Valued Partners

At Prediktiva, we take pride in our extensive roster of esteemed clients who have entrusted us with their projects and collaborated with us to achieve remarkable outcomes. Together, we have embarked on transformative journeys, crafting success stories and forging lasting partnerships. We are grateful for the opportunity to work with such visionary organizations, and their invaluable contributions have been instrumental in shaping our growth and accomplishments.

MEET THE TEAM

The Collective Force

Aura Sofia Roa Joya

Project Manager
MBA in Health Companies CEO & FOUNDER

Dr. Ricardo Rosero

Endocrinologist and Internal Medicine specialist

Dr. Pablo Roa Torres

Technical/Scientific Director

Diana Moreno Franco

Director of Service Networks

Carlos Castillo Castro

Process manager

Janmarie Barrios

Medical specialist in Service Administration

Béatrice Séguin

Director of innovation and development strategy in Health Technologies

Nelson Ardon Centeno

External advisor / Researcher & Postgraduate Director Javeriana University

Carolina Calderon

Industrial Engineer with MBA

Dr. Rafael Montagout

Medical Director Mental Health Programs / Psychiatrist

Dr. Jairo Zuluaga

Medical specialist in clinical oncology and internal medicine

Gabriel Zambrano

Health Actuary / BIg Data and Machine Learning

Jimena Guerrero Arredondo

Strategic and training developer

Juan Sebastián Marín

Data Science

Carmen Castellanos

Population Helath Manager

OUR LATEST NEWS

Prediktiva Shines at Collision Canada 2024

We are thrilled to announce that Prediktiva made a significant impact at this year’s Collision conference in Toronto, Canada. As one of the premier technology conferences globally, Collision brings together industry leaders, innovative startups, and tech enthusiasts to discuss and showcase the latest advancements in technology.

Prediktiva was proud to be among the select group of companies invited to present at Collision 2024. Our team showcased our cutting-edge predictive analytics solutions, which harness the power of artificial intelligence and machine learning to help businesses make data-driven decisions with confidence.

Here are some interested data about the event:

45

of the exhibiting startups were women-founded

42

of attendees were women

35

of speakers were women