Towards an evaluation framework for information quality management (IQM) practices for health information systems – evaluation criteria for effective IQM practices

Mohammed, Siti Asma; Yusof, Maryati Mohd.

doi:10.1111/j.1365-2753.2012.01839.x

Cited by 24 publications

(19 citation statements)

References 28 publications

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“…That occurs due to the presence of the highest number of FBD notifications in the Southeast region. It is important to highlight that the low quality of data increases the number of errors in the decision-making process, reducing the attention level of the population health care [ 21 ]. The high percentage of the incompleteness of microbiological analyzes (above 96%), and specification of the etiological agent (rates above 98% of incompleteness) indicates that either no laboratory testing is being done or that the results are not being reported.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological Surveillance System on Foodborne Diseases in Brazil after 10-Years of Its Implementation: Completeness Evaluation

Draeger

Akutsu

Araújo

et al. 2018

IJERPH

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This study aimed to evaluate the data quality of the Brazilian Epidemiological Surveillance System on Foodborne Diseases (VE-DTA) through the evaluation of the completeness of the record after 10-years of its implementation. The study evaluated the measurement of completeness by quantifying ignored, incomplete or blank responses of the data items filled. The evaluation used the percentage of completion of these items regarding the total number of notifications registered in the system. We organized the results according to the general Category of completeness of the database, by year of notification and region of occurrence. We also evaluated the overall completeness percentages of the database and the completeness levels according to the degree of recommendation of completion of each variable (mandatory, essential, and complementary) by the VE-DTA manual. The system presented 7037 outbreaks of foodborne diseases. According to the completeness classification, the database presented general classification as Category 1 since it has 82.1% (n = 5.777) of variables with the level of completion up to 75.1%. We observed that 8.6% of the database was classified as category 2; 9.2% as category 3 and 0.1% as category 4. The improvement on database quality regarding completeness can positively impact on public health and public policies, reducing the number of FBDs deaths.

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Section: Discussionmentioning

confidence: 99%

Epidemiological Surveillance System on Foodborne Diseases in Brazil after 10-Years of Its Implementation: Completeness Evaluation

Draeger

Akutsu

Araújo

et al. 2018

IJERPH

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“…Several previous studies such as by [11][12][13][28][29][30] evaluated factors influencing information quality in the information system, while in [18,31] analyzed factors that influence information quality in document. It is vital to emphasize here that information needs to be viewed universally [1] regardless of its type and medium.…”

Section: Lack Of References On Factors Influencing Information Qualitymentioning

confidence: 99%

“…In [13] stressed that there are not many models or frameworks established for IQM. In fact, in [30] observed that existing models are not comprehensive enough as they do not incorporate individual, organizational, and technology factors. Due to the lack of references to characterize the IQM model, in [4] found that most organizations do not implement IQM efficiently and effectively.…”

Section: Lack Of References On Iqm Modelmentioning

confidence: 99%

Information Quality Management in the Malaysian Public Sector: A Preliminary Study on Issues and Challenges

Hassan

Yusof

Ahmad

2018

IJET

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Information plays a significant role in enhancing an organization’s capital, namely as its crucial source of income and a valuable leverage in times of unfavorable economic climate. The strategic management of information, thus, is imperative as it contributes in bringing about success to business by influencing decision-making of the organization for better identification of prospects and to cope with risks. This requires the enhancement of efficiency and effectiveness of information management to expand its readiness and value in decision-making. In spite of its significance, studies in information quality management (IQM), particularly those that investigate issues and challenges, are scarce. This paper, hence, attempts to fill this gap by taking into account both the theoretical and pragmatic approaches in viewing issues and challenges in IQM. In addressing the limited studies in IQM, the paper proposes possible areas of further inquiry for future research. It also seeks to provide a better insight into issues and challenges facing IQM as the study’s practical impact.

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“…Data quality in a hospital information system plays an important role in health policy-making. Low quality of the data increases the rate of medical errors and lowers the quality of care (1). Designing a structure for standardized data collection supports disease information management and leads to better quality of care (2).…”

Section: Introductionmentioning

confidence: 99%

Developing a national minimum data set for hospital information systems in the Islamic Republic of Iran

Rampisheh¹,

Kameli²,

Zarei³

et al. 2020

East Mediterr Health J

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Background:Standardized data collection supports disease information management and leads to better quality of care. The Islamic Republic of Iran lacks a standard data set for data collection in hospitals. Aims: The aim of this study was to design a minimum data set for hospital information systems in the Islamic Republic of Iran. Methods: This study was conducted in 2015. Data sets of other countries, hospital records, hospital information systems and electronic health record systems in the Islamic Republic of Iran were reviewed for data elements for the minimum data set. Data elements were collected using a data extraction form and were categorized into similar classes, which were divided into administrative and clinical sections. The list of data elements was reviewed by experts in technical offices of the Iranian Ministry of Health and Medical Education, and a minimum data set was drawn up. Results: There were nine and 18 data classes in the administrative and clinical sections with a total of 166 and 684 data elements respectively. After review by the expert panel, 159 administrative and 621 clinical data elements were retained as the minimum data set for the Iranian hospital information system. Conclusion: Our dataset can be used by the Iranian health ministry, hospital information system companies and health surveillance centres for more efficient management of health data. Citation: Rampisheh Z; Kameli M; Zarei J; Vahedi Barzaki A; Meraji M; Mohammadi A. Developing a national minimum data set for hospital information systems in the Islamic Republic of Iran. East Mediterr Health J. 2020;26(4):400-409. https://doi.

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Towards an evaluation framework for information quality management (IQM) practices for health information systems – evaluation criteria for effective IQM practices

Abstract: Poor IQ is the result of complex interdependency within sociotechnical factors in health care organization and lack of formal and structured IQM practices. Thus, a feedback mechanism such as evaluation is needed to understand the issues in depth in the future.

Cited by 24 publications

References 28 publications

Epidemiological Surveillance System on Foodborne Diseases in Brazil after 10-Years of Its Implementation: Completeness Evaluation

Epidemiological Surveillance System on Foodborne Diseases in Brazil after 10-Years of Its Implementation: Completeness Evaluation

Information Quality Management in the Malaysian Public Sector: A Preliminary Study on Issues and Challenges

Developing a national minimum data set for hospital information systems in the Islamic Republic of Iran

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