3778 is a tech company that’s driving healthcare into a new path.
Through data power, design and Artificial Intelligence, we promote transformations in healthcare’s access, management and payment, reshaping the hole care experience for companies, physicians, hospitals, industry and millions of patients
We believe the way to transform care lies on matching 3 fundamental agents:
Data + AI + People.
The correct blending equation enables us to build data driven systems, fed by millions of integrated information, allowing safe and precise personalised decisions, right on time.
We extract, process and organize millions of data, from all different types and origins, integrating them in our Platform.Whether they are structured, free text or images, we manage and drive all your data, from collecting point, automating processes to, thus, build the complete Data Journey.
Through data visualisation and distribution techniques, allied with analytics and modelling, we potentiate actionable insights, improving decision making process.
By proprietary machine learning and deep learning algorithms, we provide predictions to support clinical and managing decision making, let alone automations that reduce wastage and general paperwork.
We believe, in order to have quality and scalable care, we need to solve relevant issues, common to most of health care ecosystem.
3778 GO aims to be an integrating, enrichment, availability and sharing data platform. Natural Language Processing (NLP) enables recover and structure information from free texts, like medical reports and records, besides any other forms of note taking. Generating synthetic data, through Generative Modelling, protects privacy on information sharing among physicians, data scientists and other professionals on the field.
A gathering, manage, visualisation and analytics platform, steered by AI. We integrate data from both external and internal sources of Patient Journey, allowing ongoing learning based on action recommendations linked to desired outcomes.
AI based system, capable os simulate financial risks on shifting from fee-for-service to different payment models (global stay up, pricing packages, bundle, budget, capitation), as well as identify purchase patterns, drug and supply consumption and staff behaviour. It also assists the billing process by predicting disallowance and identifying contract registration errors.
From patient similarity models, we can correlate distinct data dimension and information, what enables preciser decisions as well as better comparison of both expenses and conducts for group of alike patients. From length of stay and clinical deterioration prediction models, we can support better decision making.
Change is the only constant. We create new formats and models for professional training and knowledge development aiming conscious use of cutting-edge technologies on healthcare, using data and challenges befitting this sector reality.
A transformational approach to debate health with science and awareness, for executives, healthcare professionals and data scientists. Along with clients and universities, we can, all together, make projects fit for generating knowledge and scientific publications, contributing to the advancement of science.
With senior professionals on healthcare consulting, design and management, as well as data science excellence team, we develop customized and specific solutions. We contribute to complex problem solving where the use of artificial intelligence actually generates significant additional value for customers. During the process, we identified opportunities for changes and adjustments to infrastructure and architectures, as well as shifting in data-related organizational culture.
