PEGASI - Smart Management of Healthcare information
PEGASI structures and processes everyday clinical information accessible, clear and secure for patients, physicians and service providers, while aggregating it into datalakes that allow us to track and predict epidemic and endemic diseases in realtime.
Luis Santiago / CEO, PEGASI
- Respond (Decrease transmission & spread), such as: Optimal preventive interventions & uptake maximization, Cutting through “infodemic” & enabling better response, Data-driven learnings for increased efficacy of interventions
Crisis management depends on having reliable sources of information readily available, both to detect trends and to act upon them. In Healthcare, information gathering is delegated to practitioners and support personnel dealing with everyday ailments.
More than 70% of Healthcare information gathered in the developing world remains unstructured, on paper. Months go by until we have a clear snapshot of a city, state or country's status.
In everyday cases, accessibility, reliability and security of Healthcare information are factors that heavily contribute to adverse events, which affect 1 out of 100 hospitalized patients in Latin America. Yet, the COVID-19 crisis has shown us that lack of real-time access to this information has made our regions more vulnerable, as strategies cannot be devised based on accurate information.
That is why we are focusing on creating reliable and secure access to clinical information, in order to help clinicians in their everyday tasks, to support their decision-making with special algorhythms and to, finally, allow real-time Population Health monitoring.
Our solution serves patients first, making healthcare information accessible, clear and secure for them. They become protagonists of their healing process and diminish their chances of being affected by an adverse event.
Our solution also serves physicians, by reducing manual work overload, automating data search and creating ideal circumstances for research.
Finally, our solution serves population as a whole. Patient aggregate data is used to track dangerous diseases and clusters of infection that could endanger us all.
- Growth: An initiative, venture, or organisation with an established product, service, or business/policy model rolled out in one or, ideally, several contexts or communities, which is poised for further growth
- Artificial Intelligence / Machine Learning
- Big Data
- Software and Mobile Applications
For physicians fighting COVID-19, we created a special environment (covid.pegasi.io) that is accessible for free and with a specific configuration for consultation of patients with mild to severe COVID-19 symptoms. This environment doesn't have any restraints on the amount of patients or registries created, and all data captured using the platform will be freely available to institutions researching the disease and how different strains behave.
PEGASI makes clinical information accessible, clear and secure, which reduces patient consultation time, increases the number of patients Healthcare services providers tend to everyday, and drastically raises the quality of care provided.
Furthermore, PEGASI's software prevents unnecessary repetition of paraclinical exams, which in turn decreases costs for patients and government alike, and diminishes paper and electricity usage.
In the long term, PEGASI seeks to improve Health for millions in Latin America by using Big Data analysis for real-time Public Health vigilance, Machine Learning for assisting clinical decision making, and treatment improvement by comparative analysis of over 50 million electronic health records.
Our complete theory of change can be found here.
In order to scale our impact, we need to increase the number of countries where we have data capture points, and the mass of those. This will quickly enrich the reach and diversity of our datalake, so we can produce business intelligence (BI) that's more interesting for governments, NGOs, multilateral organizations and the medical industry.
We will also increase our team's size, which will allow us to develop industry-specific tools to gather information in a better way, and Data Science algorhythms to process the information that goes into our datalake. Finally, we designed several processes to fuel our LatAm expansion and establish a redituable operation to continue growing our data structuring and processing focal points.
We have a dashboard that continually monitors several impact KPIs:
- Number of patients in the platform;
- Number of physicians using the platform;
- Number of epidemic diseases diagnosed;
- Number and types of endemic diseases identified;
- Number of drug interaction warnings issued;
- Number of paper print-outs prevented by sending documents in digital format;
- Number and types of diagnosis registered per region.
- Chile
- Colombia
- Dominican Republic
- Ecuador
- Peru
- Venezuela, RB
- Bolivia
- Chile
- Colombia
- Dominican Republic
- Ecuador
- El Salvador
- Guatemala
- Mexico
- Panama
- Peru
- Venezuela, RB
Our current main barrier is funding. Everything else is in place a ready to scale in order to achieve our impact. Sales cycles for the type of services provided by PEGASI MED and PEGASI BI are long, and we need to continue adding tools to increase efficiency, smart management capabilities and clinical decision support to our platform.
In the next three years we figure the greatest barrier will be notoriety and customization for each country. For the first one, the success of our mission and the consecution of the Digital Transformation Alliance for the Healthcare sector will only be viable if our success is communicated to relevant, multilateral decision-makers that can help us create momentum for the massive adoption of the solution. For the second one, each one works with differente parameters that have to be implemented in order to have an efficient information gathering experience.
- For-profit, including B-Corp or similar models
Young Leaders of the Americas Initiative (YLAI 2016), Agora Partnerships' Class of 2018, Start-Up Chile's Gen21, Chile's CENS partners, Startup Health's Transformers, Katapult Accelerator's Batch 5, IBM HyperProtect Accelerator Batch 3, World Economic Forum's COVID Innovators, MIT Review LatAm Innovators Under 35 & co-developers of solutions with Roche and Endeavor.
We know he Trinity Challenge includes some of the world’s best minds and most influential leaders from business, academia, and the social sector, who can help us navigate the notoriety and funding barriers cited for our approaching scale-up, and perhaps be a part of the Digital Transformation Alliance we're creating for the developing world's Healthcare sector. In terms of notoriety, we want to get introduced to multilateral organizations and powerful international actors that can help us masify our platform's distribution, and in terms of funding, both the prize and the recognition brought by the Trinity Challenge can help us close this gap.
We would like to partner with Pharma actors such as GSK, to create alliances that accelerate the use of our platforms by strategic physicians and institutions. We would also like to partner with McKinsey & Company, who could help us channel data analytics in more effective ways. Another great partner would be Swiss Re, who can introduce us to client insurance companies in order to extend platform adoption and increase the efficiency of information exchange. Finally, we would like to partner with multilateral organizations that manage Healthcare in the world, such as Red Cross, PAHO and WHO, to whom we can provide services for handling healthcare information. This would ultimately help us grow our Big Data repository more quickly, which would in turn provide more accurate information of endemic and epidemic diseases in the region.
CEO
Chief Operations officer