Doing the ABR Radiology Alternate Pathway (3/4)

We offers expert consulting services to optimize healthcare finances, revenue cycles, and AI adoption. We provide data-driven solutions, leveraging health economics and informatics expertise to identify and quantify inefficiencies, analyze expenditures, and implement cost-reduction strategies. Our goal is to enhance healthcare quality and accessibility while improving financial performance across the sector.

Orizon is a health tech with a clear purpose: to defend health. For this, it uses the talent of its team and the state of the art of technology to take advantage of the digital transformation in health and apply the concepts of medical intelligence, analytics, and automation, resulting in better decisions to combat waste and avoid unnecessary risks to patients. Every day, 500,000 procedures (from a simple blood count to highly complex surgeries) are authorized or analyzed by the systems that connect about a quarter of health plan beneficiaries in the country to 140,000 providers, 31 operators, and 12,000 pharmacies. These connections created the largest transactional database in Latin America on supplementary health. Orizon has been operating in the Brazilian healthcare market for over ten years and is undergoing digital transformation.

The leadership of Data Science and Machine Learning initiatives;Thorough understanding of the business and data strategy.Designing and implementing data strategies and systems.Lead, motivate and manage large technical teams.Overseeing the collection, storage, management, quality and protection of data.Implementing data privacy policies and complying with data protection regulations.Determine where to cut costs and increase revenue based on insights derived from data.Effectively communicate the status, value, and importance of data collection to executive members and staff.Knowledge of relevant applications, big data solutions, and tool

Achievements/TasksManager and responsible for the implementation of the medical image database and Machine Learning platform for SUS (unified Health System): 25 Millions (reais) Project; 60 data scientists.Responsible for the RNDS datalake architecture for DataSUS (national health data network)

DATA-DRIVEN BUSINESS STRATEGYDriving the digital health strategy in recent years has provided me with the opportunity of real value creation to healthcare through disruptive innovation in patient experience, population management, or cost reduction. Data structuring, analytics and artificial intelligence are at the core of Digital Transformation.By integrating several competencies in the health chain (data science and artificial intelligence, care and research team), we were able to implement a transversal platform focused on business impact. Decision making and project execution are done through proper prioritization, bold results metrics and high-performance team.For data-driven and artificial intelligence projects, we use an AI for business concepts implementing digital squads at the operational and management layer. From the Predictive Medicine perspective, we focus in the classical PICO approach to developing focused clinical questions adapted to AI-based research in Healthcare. P.I.C.O is an acronym for patient/problem, intervention, comparison intervention, and outcomes.Data science and AI brings new opportunities, but the fundamental principles of clinical reality do not change. AI-based and data-driven research must adhere to first principles in medical science to effect real impact on patient care. Research hypotheses, whether data-driven, AI-based or not, must be clinically relevant and answerable in the clinical domain.

Responsible for strategy, evaluation of software development for health

Responsible for technology for Teleradiology