How Artificial Intelligence Impacts Health Information And Documentation Integrity

There is an increasing pressure for healthcare organizations to produce timely and accurate documentation. Hospital staff often feels burn-out fueled by documentation rework and retrospective queries. Staff burnout can lead to a rise in medical errors, denials, and costs. What’s highly needed is an efficient technology that complements patient care by meeting two major expectations:

  • Reduced documentation time (making access faster)
  • Improved quality (first request for information is complete and accurate)

Healthcare organizations collect a huge amount of patient data to analyze, read, and make decisions. Getting the correct information quickly and accurately is often difficult because of enormous amounts of data. The larger the data amount, the lower the system’s performance and the greater the challenge in finding the right information. This process results in compromised patient care due to incomplete or non-specific documentation, as well as inaccurate coding that leads to denials. The end result? Compromised financial stability.

Adding more hardware and standardized data formats to speed up searches and improve completeness and accuracy are not the answer and don’t provide the capability that’s needed.

But how to find an accurate solution that is specific to patient care, patient access and patient billing from the enormous quantities of data collected? An intelligence that enables to make informed decisions and prevent denials? Fast and cost-efficient? The answer is Artificial Intelligence (AI).


What Is Artificial Intelligence And How Does It Benefit Healthcare?

Artificial Intelligence (AI), sometimes called machine intelligence, makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Computer systems are trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. This is different from the literal, structured data approach that database-driven computer systems require.


To achieve accurate documentation and reports at the point-of-care, healthcare organizations can highly benefit from solutions integrating Artificial Intelligence. Results are higher productivity, improvements to reimbursement, and better clinical patient outcomes.

“AI with Natural Language Processing (NLP) analyzes physician documentation and offers suggestions for improvement. Automated AI at point of care helps the physician to accurately document patient conditions and treatments which leads to better coding.”


Technology should always serve care providing organizations and enhance the experience for both the doctor and the patient. AI provides great opportunities for the healthcare industry by improving document care and interaction with patients.

We at PCG are here to guide your organization and help you explore innovations as to how AI will improve your quality outcomes and patient care.

For more information visit


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