What does data integrity in digital health systems ensure?

Data integrity in digital health systems is fundamentally about ensuring that the information used for medical decisions is accurate, consistent, and trustworthy. This is crucial in healthcare settings where decisions based on erroneous data can lead to severe implications for patient care, treatment options, and overall outcomes.

In the context of healthcare, accurate data means that patient records, diagnostic results, and treatment histories reflect true and reliable information. This enables healthcare professionals to make informed decisions that directly impact patient health and safety.

While other aspects such as confidentiality and speed of data processing are important elements of a digital health system, they do not capture the primary essence of what data integrity is all about. Data integrity focuses specifically on the accuracy and dependability of the data itself, which is paramount in delivering quality healthcare services.