Data in Digital Health Systems
Learning Objectives:
• Distinguish data and information
• Explain characteristics of data quality
• Recognize challenges in working with data
• Identify trends in health data
Chapter Outline:
I. Introduction
II. Background
III. Healthcare Data
Data v. Information
Data Sources
IV. Issues and Problems Related to Health Data
Data Errors and Quality Issues
Data Privacy and Security Issues
Lack of Experts in Data Analytics and Informatics
V. Addressing Issues and Problems Related to Data
AHIMA’s Data Quality Measures
Data Governance
Information Governance
Employee Education and Training
VI. Future Trends of Data and Data Analytics
VII. Conclusion
Technology Review II:
Big Data, Geospatial Technology, IoT, and Cloud Computing for Health Systems
I. Introduction
Internet of Things
Big Data
Cloud Computing
Spatial Big Data
II. Geospatial Data and Technologies in Health Care
Geospatial Data
Geospatial Technology
III. Geospatial Analytics
IV. SBD Unique Security Requirements
Cloud-Based IoT Security-Privacy Requirements Identity-Location and Query Privacy Privacy-by-Design and Transparency-Privacy Aware Development Forward-Backward security Secure Packet Forwarding in Cloud-Based IoT V. Geospatial Technology, Big Data,
IoT, and Cloud Convergence
Issues in Healthcare Geospatial Data, Cloud, and IoT Convergence
Benefits in SBD Technological Convergence
Challenges in SBD Technological Convergence
VI. Use Cases of Healthcare IoT, Cloud, and Geospatial Data
VII. Conclusion
Discussion Questions:
4-1 What are some possible sources of low-quality data? Why is it important to keep erroneous data minimized?
4-2 Data stored in EHR systems are almost always reduced to the simplest form. What is this type of data called, and why is this done?
4-3 Why does the DGI’s data governance framework exist, and what role does it play in EHR?
4-4 What is the primary difference between data and information? What purpose does each serve in an EHR system?
4-5 Consider the implications of EHR systems in health care. Is it feasible for a healthcare provider to use the data they collect to discover health risks in a city or community?
4-6 What sort of contribution can secondary data provide beyond that of registries to improve healthcare delivery in general?
4-7 In considering the issues surrounding data errors and quality issues, what would be considered the common underlying component driving its cause?
4-8 What do you see as the trend of healthcare big data analytics? Why do you think proper analysis of data can aid in the prevention of healthcare frauds?
