Big Data and organization design can create effective emergency departments at hospitals

For many emergency patients the meeting with health care is often a time critical experience. Knowledge of the patient's condition and medical history is often very limited and thus a critical factor to the acute treatment of the patient.

2013.09.10 | Morten Bygvraa Rasmussen

Health services are presently, as happens in many other areas, experiencing a smaller digital revolution. Electronic health records and other IT solutions are the front runners in the Big Data wave flooding Danish hospitals and is also playing a major role in the pre-treatment of the acute patients.

For many emergency patients the meeting with health care is often a time critical experience. Knowledge of the patient's condition and medical history is often very limited and thus a critical factor to the acute treatment of the patient.

Big Data can potentially change the way in which the acute treatment is organized.

DESIGN-EM is a cross-disciplinary research network with eight partners that combines research-based knowledge about optimizing organization design with the emergency medicine field in order to give evidence-based guidelines for designing effective and efficient emergency departments.

The founding partners are Research Center for Emergency Medicine (CfA), Aarhus University Hospital and Interdisciplinary Center for Organizational Architecture (ICOA), Aarhus University.

For DESIGN-EM Big Data plays an important role as the new data options open for new ways to organize medical treatment of emergency patients. It is, for example possible today via Google Flue Trends to predict when an influenza epidemic is emerging long before the first patients are turning to the doctor. It provides new opportunities to counsel patients and adjust capacity, so overcrowded emergency admission can be avoided.

In DESIGN-EM we are identifying future data needs for the emergency admissions by examining the data needs and how these can be used to include real-time decision support and risk stratification.

Research news, ICOA, DESIGN-EM
Tags: Big Data