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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.

Taridzo Chomutare1, Therese Olsen Svenning2, Miguel Ángel Tejedor Hernández2

  • 1Department of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Hansine Hansens vei 54, Tromsø, N-9037, Norway, 47 47680032.

Journal of Medical Internet Research
|July 3, 2025
PubMed
Summary
This summary is machine-generated.

An AI tool, Easy-ICD, significantly reduced clinical coding time for longer documents by 46%. While accuracy improvements were observed for both long and short notes, they were not statistically significant. Further research is needed for real-world hospital integration.

Keywords:
AICACComputer Assisted CodingEasy-ICDICD-10ICD-11International Statistical Classification of DiseasesInternational Statistical Classification of Diseases and Related Health Problems codes, Eleventh RevisionInternational Statistical Classification of Diseases and Related Health Problems codes, Tenth Revisionartificial intelligenceclinical codinglarge language models

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Documentation Improvement

Background:

  • Clinical coding is vital for healthcare operations but faces challenges in Scandinavia due to errors by junior staff.
  • Artificial intelligence (AI) tools offer potential to alleviate documentation burdens and improve coding accuracy.
  • Existing evaluations of AI coding tools often lack real-world clinical setting complexity.

Purpose of the Study:

  • To evaluate the efficacy of the Easy-ICD AI tool in a realistic setting for clinical coding.
  • To determine if Easy-ICD reduces coding time and enhances data quality.
  • To investigate differences in performance between long and short clinical notes.

Main Methods:

  • A 1:1 crossover randomized controlled trial was conducted in Sweden and Norway.
  • Participants used the Easy-ICD tool versus not using it, alternating between longer and shorter clinical notes.
  • Coding time and accuracy were measured and analyzed using Mann-Whitney U tests.

Main Results:

  • Easy-ICD reduced median coding time by 46% (123 seconds) for longer clinical notes (P<.001).
  • No significant time reduction was observed for shorter clinical notes (P=.25).
  • Coding accuracy showed non-significant improvements for both longer (62% vs 67%) and shorter notes (60% vs 70%).

Conclusions:

  • AI tools like Easy-ICD show potential for improving efficiency in clinical coding, particularly for complex, longer documents.
  • Further in-hospital studies are necessary to validate these findings within routine clinical workflows.
  • User satisfaction was slightly higher for the AI's suggestions on longer notes.