User needs and requirements analysis for big data healthcare applications

Area of Science:

• Health Informatics
• Big Data Analytics
• Healthcare Management

Background:

• Improving healthcare quality and efficiency through big data applications presents significant challenges.
• Understanding the diverse needs of healthcare stakeholders (patients, clinicians, payors, etc.) is essential for leveraging big data opportunities.

Purpose of the Study:

• To investigate the requirements for successful big data application implementation in healthcare.
• To identify how big data technologies can reconcile the often-opposing needs for quality and efficiency in healthcare delivery.

Main Methods:

• The study employed a mixed-methods approach, including internet research, literature reviews, market analysis, and semi-structured interviews with key healthcare stakeholders.

Main Results:

• Big data technologies offer potential for aligning improved healthcare quality with enhanced efficiency.
• Successful integration requires a unified view of heterogeneous data sources.
• Legal frameworks for data sharing and collaborative incentives are critical.

Conclusions:

• Big data can bridge the gap between healthcare quality and efficiency goals.
• Effective implementation hinges on integrated data views, supportive legal structures, and stakeholder collaboration.