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Related Concept Videos

Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Documentation of Nursing Diagnosis01:10

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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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Classification of Illness01:17

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Nursing Clinical Information System01:27

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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.
Critical attributes of NCIS include:
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Application of Clinical Department-Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective

An-Tai Lu1,2, Chong-Sin Liou3, Chia-Hsin Lai3

  • 1Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, No.100, Shih-Chuan 1st Road, Sanmin Dist, Kaohsiung, 807, Taiwan, 886 73121101 ext 2648.

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An artificial intelligence (AI)-assisted coding system improves the accuracy and efficiency of medical coding. This AI tool shows high consistency in infectious and respiratory disease categories, reducing coder workload and enhancing clinical documentation expertise.

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artificial intelligence codingcoding professionalsdiagnosis-related group

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Area of Science:

  • Health Informatics
  • Medical Coding Automation
  • Artificial Intelligence in Healthcare

Background:

  • Accurate ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) procedure coding is vital for correct Taiwan Diagnosis-Related Groups (DRGs).
  • Coding errors can lead to significant financial losses for healthcare institutions.
  • The accuracy of medical coding directly impacts hospital reimbursement and operational efficiency.

Purpose of the Study:

  • To evaluate the consistency of an artificial intelligence (AI)-assisted coding module compared to manual coding processes.
  • To identify specific clinical specialties where the AI-assisted coding module can be effectively implemented.
  • To assess the impact of AI assistance on the efficiency and role of human coders.

Main Methods:

  • A hierarchical attention network was used to construct the AI-assisted coding module.
  • Retrospective review of 2632 discharge records from February to April 2023, excluding cases outside Taiwan DRGs or with incomplete data.
  • Verification of AI-generated Taiwan DRGs focused on Major Diagnostic Categories (MDCs); statistical analysis used SPSS version 19, including kappa statistics and Wilcoxon signed rank test.

Main Results:

  • The AI-assisted coding module demonstrated high consistency (kappa values > 0.8) in the infectious and parasitic diseases MDC and the respiratory diseases MDC.
  • Statistical analysis revealed no significant difference in coding results across 23 clinical departments, including Cardiology, Nephrology, and Urology.
  • The AI system reduced work time for human coders, supporting their transition to clinical documentation experts.

Conclusions:

  • The ICD-10-CM AI-assisted coding system enhances efficiency for human coders, reducing their workload.
  • Healthcare professionals can leverage AI tools to become clinical documentation experts, fostering career development.
  • Future research will focus on validating the ICD-10 AI-assisted coding module using similar methodologies.