Health Systems Research and Economic Evaluation in Cardiology: Ethnographic Insights and Big Data Applications

Abstract

Background Integrating ethnographic insights with big data analytics improves healthcare systems research, especially in cardiology. This interdisciplinary approach tackles complicated issues in patient care, resource allocation, and economic evaluation, providing a more complete picture of healthcare delivery.
Methods This study adopts a hybrid approach that combines qualitative ethnographic methodologies with quantitative big data analytics. Ethnographic research documents patient-provider interactions, whereas big data analysis examines massive amounts of health data to detect trends and forecast results.
Objectives The primary goals include contextualizing big data insights using ethnographic methods, assessing the cost-effectiveness of cardiac procedures, improving decision-making by combining qualitative and quantitative approaches, and improving patient care by investigating systemic healthcare issues.
Results The Ethnographic Health Systems Research (EHSR) approach represented an advance over existing methodologies in terms of data accuracy, prediction accuracy, cost-effectiveness, patient satisfaction, and scalability leading to substantive healthcare delivery improvements within cardiovascular health.

Conclusions EHSR powerfully supports the integration of ethnographic insights with big data analytics to revolutionize healthcare evaluation. This approach provides a holistic treatment strategy for cardiology, and its implementation across other medical specialties would result in better patient care with more effective resource management.