Bed Turnover (Productivity): Our solution provides greater productivity by offering predictability of discharges and enhanced identification of causes that may lead to extension of the originally estimated length of stay. For example, it alerts to patients who may require hospitalization beyond the estimated deadline, based on specific factors considered during operational decisions, such as the time of the report. This grants the care team more time for timely interventions. Clinical Deterioration in Inpatient Units (Quality): Our platform aids in early detection of clinical deterioration, using the regular records of the care team, including vital signs and the application of scales such as the NEWS (National Early Warning Score). This eliminates the need for multiple record models, which could delay the identification of these critical situations. Unstructured Patient Chart Data (Productivity/Financial): Our solution enhances operational efficiency by enabling better extraction of information contained in patient charts through natural language processing (NLP) and communication centralization. Financial Audit - Denials: Using artificial intelligence (AI), our solution conducts a preliminary audit and forwards actions for potential denials, significantly contributing to the optimization of the financial audit process.