Case Study | Hospital del Mar and Ferrer

GOAL

The following questions are set as immediate objectives:

• Objective 1: to find out what hypoglycaemic treatment we are treating patients with renal disease with and what treatment has been changed.
• Objective 2: to find out which patients with a history of renin angiotensin system inhibitors take inhibitors at discharge.
• Objective 3: to find out which patients who do not have a history of depression are taking an antidepressant drug (group N06A).

STRATEGY

Managing through team empowerment has taken the form of three types of big data:

• Descriptive big data: to assess health outcomes, identify previously unknown relationships, connect all sources of data generated.
• Predictive big data: has allowed them to predict clinical events.
• Prescriptive big data: to make real-time decisions based on best practices.

RESULTS

• Automatically extract all the variables of the patients attended by filtering by the desired search criteria.
• Extraction of knowledge from unstructured discharge data.
• Support for decision making in real time.
• Determine population epidemiology, generate clinical research hypotheses, perform observational studies, predict clinical casuistries before they occur.
• Response to objective 1: 39.91% of patients admitted to nephrology are diabetic, a total of 651, of which 89 are treated with metformin.