How this helps meet the health care industry’s increasing demand for high-quality clinical data
The interest in AI is unabating as the demand for high-fidelity clinical data increases throughout health care.

More and more, AI is becoming a key way to optimize the work of clinical data experts. AI-enabled automation scales the capabilities of these experts, allowing them to sort through larger quantities of pre-qualified clinical data at a time, improving efficiency, reach and data integrity. Data integrity and timeliness are critical components to clinical data management considering the higher the fidelity of the data and the closer it remains to the patient interaction, the more effective it can be in the evolution of care.


By combining the power of people and technology, hospitals and health systems will be able to quickly sort through backlogs of data and keep up with the valuable patient data that continues to be gathered every day.

Machines helping humans is the future
AI-enabled data integrity and process improvement makes a powerful union between people and technology to elevate operational quality. This not only enables experts to do their jobs more effectively but will also help hospitals and health systems unlock the power of their clinical data to improve patient care and overall hospital performance.

The future of health care lies in the prioritization of and investment in modern data infrastructure that emphasizes people, process and technology. The sooner the health care industry can implement technology to meet the growing demand for high-quality clinical data, the faster that these innovations will materialize as seminal medical research and enhanced patient care.

About the author: Brian Foy is the chief product officer at Q-Centrix

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