This study was conducted to analyze this process closer focusing on a case of Cardiology. Conducting a comprehensive literature review and qualitative expert interviews, the impact of big data in the field of Cardiology was explored. The result of the study shows that big data can play a positive role in three aspects: prediction of disease, prevention of disease and management of disease. Big data enables us to build models that can be used to predict the occurrence of disease.
Based on this information, actions can be taken to prevent the disease. Data also helps to manage the disease by offering helpful insights. Medical personnel can retrieve the patient data, with the help of AI, they can make faster decisions allowing them to spend more quality time with the patients and reduce cognitive errors.
Through the interviews, it was understood that even though the positive role of big data has been acknowledged, the implementation is still a challenge due to various limitations. The challenges lie mainly on technical know-how and domain knowledge. Further challenges were data security and privacy issues that need to be addressed to mitigate the risks that can be caused by them. The examples of big data implementation in various cases like in heart failure prediction or prevention shows a positive picture.
The overwhelming majority of case studies analyzed in this regard show an optimistic picture. Due to growing importance and use of smart devices, IoT, genomics and the recent developments in the field of ICTs, it is expected that big data will not only leave a positive influence on the field of Cardiology, it will also change the way medicine is practiced and healthcare is offered.
The statement ‘Data is the new oil’ has been broadly acknowledged due to its wide-ranging importance. Utilizing big data offers a variety of benefits. Although the health sector was late in terms of exploiting the benefits of big data, currently, the adoption is accelerating. Healthcare is increasingly becoming an information science and the implementation of electronic medical records (EMR) and other information systems is growing rapidly. The patient data originating from smart devices and other sources like genomic databases are supporting the healthcare sector offering better healthcare delivery and increasing efficiency, hence saving costs.
Inhaltsverzeichnis (Table of Contents)
- Abstract
- Keywords
- 1. Introduction
- 1.1 Purpose Statement and Research Questions
- 1.2 Topic Justification
- 1.3 Scope and Limitations
- 1.4 Definition of Big Data
- 1.4.1 Healthcare Big Data Sources
- 1.4.2 Techniques and tools to analyze Healthcare Big Data
- 1.4.3 Application of Big Data in Healthcare
- 2. Methodology
- 2.1 Methodological Tradition
- 2.2 Methodological Approach
- 2.3 Data Collection
- 2.4 Methodology Applied for literature review
- 2.4.1 Inclusion and Exclusion Criteria
- 2.4.2 Search Procedures
- 2.4.3 Methods for Data Analysis
- 2.4.4. Validity, Reliability and Generalizability
- 2.4.5 Ethical Considerations
- 3. Results
- 3.1 Cardiology
- 3.2 Results from Comprehensive Literature Review
- 3.2.1 Prevention
- 3.2.2 Prediction
- 3.2.3 Management of Disease
- 3.2.4 Future Trends and Directions
- 3.2.5 Challenges
- 3.3 Results from Qualitative Interviews
- 3.3.1 Theme 1
- 3.3.2 Theme 2
- 3.3.3 Theme 3
- 3.3.4 Theme 4
- 3.3.5 Theme 5
- 3.3.6 Theme 6
- 4. Discussion
- 4.1 Part 1
- 4.2 Part 2
- 4.3 Part 3
- 4.4 Part 4
- 5. Conclusion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This dissertation aims to explore the role of big data in cardiology, specifically focusing on its impact on the prediction, prevention, and management of cardiovascular diseases. It analyzes the potential benefits and challenges associated with using big data in this field, drawing insights from a comprehensive literature review and qualitative expert interviews.
- The impact of big data on predicting cardiovascular diseases.
- The potential of big data to prevent cardiovascular diseases.
- The role of big data in managing cardiovascular diseases.
- Challenges related to implementing big data in cardiology.
- Future trends and directions for using big data in the field of cardiology.
Zusammenfassung der Kapitel (Chapter Summaries)
The introduction lays out the purpose, research questions, justification, scope, and limitations of the study. It also defines big data, explores its sources, and discusses techniques, tools, and applications in the healthcare sector. The methodology chapter outlines the methodological tradition, approach, data collection methods, and analysis techniques applied in the research. It also addresses the validity, reliability, generalizability, and ethical considerations of the study. The results chapter presents findings from the literature review and qualitative interviews, analyzing the impact of big data on prediction, prevention, and management of cardiovascular diseases. It also explores emerging trends and challenges associated with implementing big data in cardiology. The discussion chapter further analyzes the findings, providing insights into the potential benefits and limitations of using big data in this field.
Schlüsselwörter (Keywords)
The key focus areas of this research are big data, its application in healthcare, and its specific role in cardiology. The research explores the use of big data in predicting, preventing, and managing cardiovascular diseases. The study investigates the use of information systems and information and communication technology (ICT) to analyze healthcare data. The study also focuses on the challenges related to implementing big data in cardiology, including data security and privacy concerns.
- Citation du texte
- Bikal Dhungel (Auteur), 2020, Big Data in Cardiology. Predicting, Preventing and Managing Diseases, Munich, GRIN Verlag, https://www.grin.com/document/920382
