Most Brazilian hospitals already have an electronic health record. But when a manager needs to know the 30-day readmission rate for cardiac patients, or identify which units have the highest incidence of adverse events, or understand the real epidemiological profile of the population served — the answer is rarely available.
The problem is not a lack of data. It is a lack of structured data. Between 70% and 80% of the most relevant clinical information is in free text — progress notes, clinical notes, reports — inaccessible to any conventional BI system.
iHealth reads that text, extracts clinical variables using NLP, and delivers them in interpretable dashboards, customized for each decision-making level of the institution.