Quality assurance involves repeated cycles of quality assessment and QI. Timeliness refers to the extent to which the coded data are available within the time frames required for decision support, billing purposes and other uses. Reliability is depicted by the extent to which multiple coders assign the same codes to the same diagnoses/health problem. Validity refers to the extent to which coded data accurately reflect the patient’s diagnoses, that is, the extent to which it is correct. The balancing measures, that is, the unintended consequences of the intervention 8 (which may be positive or negative), will be reliability and timeliness (efficiency). The outcome measure of this intervention is validity (accuracy). The data quality dimensions that have been identified in data governance include: validity, reliability, completeness and timeliness. One of the factors on which the quality of coded clinical data depends is the operation of a performance improvement plan that ensures continuous QI. 2 While efforts to address the clinicians’ role in ensuring accurate data are ongoing, improving the accuracy of ICD-10 coding by clinical coders is the focus of this quality improvement (QI) initiative. 7 Training and retraining of health information managers (HIMs) are needful but there is also a place for the introduction of appropriate technology. In some cases, it is suspected that data quality may be more of a human challenge than a technology challenge. 3 4 Studies have suggested an association between the validity of coding and coder characteristics such as employment and experience. The many steps in the process of coding a diagnosis introduce numerous opportunities for error. The process of coding of the medical diagnoses documented in patients’ paper-based medical records folders is carried out by the medical records officers (MROs)/clinical coders. 2 In this setting, a tabular list of about 600 codes, selected on the basis of frequency of occurrence or public health importance of the diseases/health problems, is referred to as the Cumulative Medical Form. However, in some middle-income and low-income countries, morbidity data are collected as paper-based health records through a number of manual processes leading up to the final collation on area-specific tabular list adapted from the ICD-10 tabular list. 1 In some middle-income and high-income countries, it is applied in their electronic health record (EHR) systems. It also allows data comparisons in the same location across different time periods. With its comprehensive list, organised in a hierarchical fashion, it supports the management of health information for evidence-based decision-making, it allows sharing and comparison of health information between hospitals, regions, settings and countries. The International Classification of Diseases (ICD) is the international diagnostic classification standard for reporting diseases/health conditions, and for clinical and research purposes. In addition to the new browser tool, ICD-10-CM and all approved updates to the classification are still available on this webpage for public use.Effective and efficient planning, monitoring (M) and evaluation (E) of health services depend on the availability of accurate and reliable data for health statistics. The National Center for Health Statistics updates ICD-10-CM on an annual basis. The application provides access to multiple fiscal year version sets that are available with real-time comprehensive results via the search capabilities. The National Center for Health Statistics ICD-10-CM Browser tool is here This user-friendly web-based query application allows users to search for codes from the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) and provides instructional information needed to understand the usage of ICD-10-CM codes.
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