First Step to Big Data Research in Hospital

Area of Science:

• Biomedical Informatics
• Health Services Research
• Clinical Data Management

Background:

• Hospitals generate substantial data through systems like Electronic Medical Records (EMR), Picture Archiving and Communication Systems (PACS), Computerized Provider Order Entry (CPOE), and Laboratory Information Management Systems (LIMS).
• Despite data accumulation, researchers face significant challenges in accessing and utilizing clinical data for research purposes.
• The increasing volume of healthcare data necessitates improved systems for research accessibility.

Purpose of the Study:

• To introduce a novel clinical research information system designed to overcome data accessibility barriers.
• To demonstrate the utility of the ABLE (Asan BiomedicaL research Environment) system in facilitating clinical big data research.
• To promote the use of integrated clinical data for advancing biomedical research.

Main Methods:

• Development and implementation of the ABLE system, a clinical research information environment.
• Integration of data from various hospital information systems (e.g., EMR, PACS, CPOE, LIMS) into a unified research platform.
• Description of the system architecture and functionalities enabling data retrieval and analysis.

Main Results:

• The ABLE system provides a centralized platform for accessing diverse clinical data.
• It addresses the practical difficulties researchers encounter when trying to use hospital-stored data.
• The system facilitates the transition from data storage to data utilization for research.

Conclusions:

• Clinical research information systems are essential for leveraging hospital big data.
• The ABLE system serves as a practical example of such a necessary infrastructure.
• Implementing systems like ABLE can significantly promote and enable large-scale clinical data research.