PEGASI leverages data analytics to optimize the diagnostic and treatment workflow for cancer patients in Latin America, significantly reducing the time from initial suspicion to treatment initiation. By providing real-time visibility and structured data management throughout the patient journey, the platform enhances care coordination and improves patient outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Cancer patients in Latin America often face delays in diagnosis and treatment initiation due to fragmented data, inefficient workflows, and lack of real-time visibility into the patient journey. This results in delayed care, increased anxiety for patients, and potentially poorer outcomes.
Solution
PEGASI offers a data analytics platform designed to optimize the diagnostic and treatment workflow for cancer patients. The platform provides real-time visibility and structured data management throughout the patient journey, from initial suspicion to treatment and follow-up. By digitizing the patient journey and facilitating intelligent use of data, PEGASI aims to reduce the time to treatment, enhance care coordination, and improve patient outcomes. The platform supports screening, diagnosis via a digital tumor board, treatment planning, and patient monitoring.
Target Audience
PEGASI targets hospitals and clinics, insurance companies, pharmaceutical companies, and employers in Latin America. Specifically, the platform serves oncologists, pathologists, radiologists, and other healthcare professionals involved in cancer care, as well as risk managers at insurance companies and HR benefits managers at corporations.
Features
- Automated patient contact via questionnaires
- Integration with bar codes and QR codes for sample tracking and identification
- Repository for patient paraclinical results
- Automated notifications for patients and physicians via email, SMS, and WhatsApp
- Real-time dashboards for population cohort analysis
- Digital tumor board to organize, prioritize, and prepare patient data for presentation to the medical committee
- Hybrid discussion of cases (in-person and remote attendees)
- Care plan creation and follow-up tools
- Electronic notification and confirmation of appointments
- Teleconsultation and telemedicine capabilities
- Hybrid patient monitoring (in-person and remote)
- Measurement of treatment efficiency and identification of bottlenecks
- Structured data generation for clinical research
- Data security and anonymization under the CDA (Clinical Data Architecture) standard
- HIPAA-compliant data protection