Trust in healthcare data is essential for making informed decisions about the form and quality of patient care, and is essential for the design of effective public policy about healthcare. However, data errors, bias, incompleteness, and security concerns, for example, can all contribute to mistrust in healthcare data.

In order to address this issue, it is important to understand the perceptions and attitudes towards healthcare data among both healthcare personnel and patients. This project aims to assess trust in healthcare data by examining the perceptions and attitudes of healthcare personnel and patients towards aspects such as the quality, accuracy, and security of healthcare data, for example.

The results of this project can provide valuable insights into the factors that contribute to trust and mistrust in healthcare data, and inform the development of strategies to improve trust in healthcare data in the future.

Subproblems that could be included in the process of assessing trust in healthcare data among healthcare personnel and patients, include:

1. Identifying the factors that contribute to trust and mistrust in healthcare data among healthcare personnel and patients. This could include examining factors such as the quality of data, data accuracy, data security, and data transparency.
2. Assessing the impact of mistrust in healthcare data on patient outcomes. This could include analyzing how mistrust in healthcare data affects the diagnosis and treatment of patients, as well as the overall quality of care that patients receive.
3. Examining the differences in perceptions and attitudes towards healthcare data between different groups of healthcare personnel and patients. This could include comparing perceptions and attitudes among different professions within healthcare, as well as between different patient groups.
4. Investigating potential solutions to improve trust in healthcare data among healthcare personnel and patients. This could include evaluating the effectiveness of different strategies for data collection, management, and analysis, as well as assessing the feasibility of implementing these strategies within healthcare organizations.
5. Identifying issues brought about by a lack of confidence in data in the creation of Telehealth, as well as unique remedies for it.
6. Identifying any gaps in the current data trust understanding or frameworks within the healthcare industry
7. Evaluating the alignment between policies and practices of data trust within the healthcare organizations.
8. Identify how the designs of different systems impacts the different levels of trust amongst healthcare personnel and patients, and how usability and design issues contribute to problems with adoption and use.