1PhD Candidate of Health Information Management, Department of Health Information Management, School of Health Management and Medical Information Sciences, Iran University of Medical Sciences, Tehran, Iran - 2Instructor, Department of Health Information Technology, Paramedical School, and member of Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, IR Iran - 3Professor of Health Information Management Department, School of Management and Medical Information Sciences, Iran University of Medical Sciences, Tehran, Iran - 4Health management and economics research center, Iran University of medical sciences, Tehran, Iran 


Introduction: Data quality in health information systems (HIS) plays a principal role in decision-making, planning, and rende- ring of needed knowledge of health care specialists. The purpose of this study was to identify the methods and dimensions of data qua- lity assessment in the HIS.

Method: A review of literature discussing data quality dimensions and assessment methodology for HIS was performed. The relevant publications were identified in major databases. Data quality dimensions and its assessment methods were extracted by using content analysis method.

Results: The dimensions and methods of data were observed to be most frequently assessed. Among a total of 50 dimensions of data quality, 11 are categorized as the main dimensions. Completeness, timeliness, and accuracy were the three most-used dimensions and element presence, gold standard, and log review were the most-used methods for assessing these dimensions, respectively. The major quantitative assessment methods were descriptive surveys, whereas the main qualitative assessment methods were interview and documentation review.

Conclusion: There is currently little consistency or potential generalizability in the dimensions and methods used to assess HIS data quality. Generally, qualitative and quantitative methods were used to assess data quality in the reviewed publications. Thus, because of the inconsistency in dimensions’ definition and assessment methods, categorization of data quality dimensions in the format of the limited main dimensions and identification of its assessments methods seemed necessary. 


data quality, information quality, dimension, health information system, assessment, evaluation.