How are healthcare data quality and integrity influenced by data, information, and knowledge governance? How can quality of care, cost, and the overall patient experience of healthcare be addressed by using big data, cloud computing, and visual analytics?

Data Quality Management: Data quality management is a group of practices that focuses on maintaining a high degree of quality of information.

Healthcare Data Quality and Integrity is influenced by data, information, and knowledge governance in the following way:

• The healthcare system must make sure that the data must be collected from trusted sources to maintain its accuracy and reliability. The quality of data and its integrity gets influenced by the sources of data from which it is collected.
• The AHIMA (American Health Information Management Association) provides principles related to information governance and these principles influence data quality. The principles have aspects like accountability, protection, integrity, and transparency.
• The quality of data, its availability, and integrity gets influenced by the gap in knowledge and it leads to a reduction in operational consistency. Knowledge governance has an impact on the processes concerning knowledge creation and sharing.

The quality of care, cost, and whole patient experience of healthcare can be addressed by utilizing big data, cloud computing, and visual analytics in the following way:

• In the healthcare industry, big data utilizes particular statistics from individuals to do advancements related to new research, minimizing cost, and even curing or preventing a particular group of diseases.
• Cloud computing and data analysis play an essential role when the extraction of important patient information takes place in the health care field. The care services given in hospital are analyzed by the patients, the cost is evaluated, and cloud computing gives democracy to patients by giving control over their health. The patient records, stores, and can easily retrieve the data stored on the cloud.
• Visual analytics is an important concept as the data analytics and visualization marriage takes place in it. The information is analyzed properly and the quality of care, cost related to medical services, and experience of the patient is visualized through many techniques with human cognitive abilities.