Handling Big Data in Modern Healthcare

Area of Science:

• Health Informatics
• Medical Technology
• Clinical Data Management

Background:

• Increasing medical knowledge and clinical specialization necessitate efficient patient information sharing.
• Current technology focuses on data processing, not information synthesis, limiting healthcare improvements.
• Converting raw clinical data into meaningful information and knowledge is essential for advancing patient care.

Purpose of the Study:

• To provide an overview of two key technological advancements in medicine.
• To explore the integration of these technologies into clinical practice.
• To highlight how these technologies facilitate learning from aggregated clinical data.

Main Methods:

• Discussion of clinical data warehouses (CDWs) as a method for organizing and analyzing patient data.
• Explanation of health information exchanges (HIEs) for facilitating secure patient data sharing.
• Contextualization of CDWs and HIEs within the framework of the Health Information Technology for Economic and Clinical Health (HITECH) Act.

Main Results:

• Emergence of CDWs enables the transformation of clinical data into usable information.
• HIEs facilitate the efficient exchange of patient information among healthcare providers.
• The HITECH Act promotes the adoption and meaningful use of these health information technologies.

Conclusions:

• CDWs and HIEs are pivotal in making clinical data meaningful and enabling knowledge discovery.
• These technologies are essential for leveraging modern advancements to improve patient health.
• The adoption of health information technology is key to realizing the potential of data in medicine.