Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality
Background: One of the most important functions of the admission unit is the speed of staff in receiving the information correctly and recording them on the computer, and providing suitable conditions for continuing the patient's treatment. The occurrence of errors in data recording affects the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914822002593 |
| _version_ | 1811231066994769920 |
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| author | Atefe Sohrabi Azam Sabahi Ali Garavand Leila Ahmadian |
| author_facet | Atefe Sohrabi Azam Sabahi Ali Garavand Leila Ahmadian |
| author_sort | Atefe Sohrabi |
| collection | DOAJ |
| description | Background: One of the most important functions of the admission unit is the speed of staff in receiving the information correctly and recording them on the computer, and providing suitable conditions for continuing the patient's treatment. The occurrence of errors in data recording affects the quality of care and may have unfavorable consequences. The application of data validation techniques can help users to record information correctly. Objectives: Hence, the present study aims to identify the techniques and determine the level of compliance with them, their necessity in Admission Discharge Transfer (ADT) systems, and their effect on data quality. Methods: This observational study investigating data quality in the ADT systems was carried out in two stages. In the first stage, a checklist of data control techniques was developed by reviewing the literature. The admission unit of hospital information systems in different units of the teaching hospitals of Kerman (in terms of application of data validation techniques) was evaluated. In the next stage, a researcher-made questionnaire was designed, and users' views on the necessity of using these techniques in HIS and their effect on data quality were evaluated. Data analysis was done using frequency, standard deviation, and mean and Friedman ranking test. Results: In this study, six data techniques were investigated in the studied systems. Users gave the highest mean for the necessity of applying data control techniques for the first name, surname, and national code data items and the lowest mean for the data items related to vital signs. In the ranking of data validation techniques in terms of the importance of their application, the highest rank was obtained in the components of pattern control (17.29), and the lowest rank was obtained in delta control (2.91). In the general ranking of the effect of techniques on data quality, pattern control (5.95) and interval control (4.95), respectively, obtained the highest mean (out of 6). Conclusions: The results revealed that the existing HISs had fewer benefits of using data control. However, users not only consider it necessary to use these controls in the systems but also believe that their application will improve their performance in recording information. Thus, for accurate documentation, HIS designers must implement these techniques in these systems, and their application should become a mandatory standard for system development. |
| first_indexed | 2024-04-12T10:39:58Z |
| format | Article |
| id | doaj.art-0ecc5fec1a7e4c719c805623c76c788c |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-04-12T10:39:58Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-0ecc5fec1a7e4c719c805623c76c788c2022-12-22T03:36:38ZengElsevierInformatics in Medicine Unlocked2352-91482022-01-0134101122Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data qualityAtefe Sohrabi0Azam Sabahi1Ali Garavand2Leila Ahmadian3Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, IranDepartment of Health Information Technology, Ferdows School of Health and Allied Medical Sciences, Birjand University of Medical Sciences, Birjand, IranSchool of Allied Medical Sciences, Lorestan University of Medical Sciences, Khorramabad, IranDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran; Corresponding author. Kerman University of Medical Sciences, Post box: 7616911313, Kerman, Iran.Background: One of the most important functions of the admission unit is the speed of staff in receiving the information correctly and recording them on the computer, and providing suitable conditions for continuing the patient's treatment. The occurrence of errors in data recording affects the quality of care and may have unfavorable consequences. The application of data validation techniques can help users to record information correctly. Objectives: Hence, the present study aims to identify the techniques and determine the level of compliance with them, their necessity in Admission Discharge Transfer (ADT) systems, and their effect on data quality. Methods: This observational study investigating data quality in the ADT systems was carried out in two stages. In the first stage, a checklist of data control techniques was developed by reviewing the literature. The admission unit of hospital information systems in different units of the teaching hospitals of Kerman (in terms of application of data validation techniques) was evaluated. In the next stage, a researcher-made questionnaire was designed, and users' views on the necessity of using these techniques in HIS and their effect on data quality were evaluated. Data analysis was done using frequency, standard deviation, and mean and Friedman ranking test. Results: In this study, six data techniques were investigated in the studied systems. Users gave the highest mean for the necessity of applying data control techniques for the first name, surname, and national code data items and the lowest mean for the data items related to vital signs. In the ranking of data validation techniques in terms of the importance of their application, the highest rank was obtained in the components of pattern control (17.29), and the lowest rank was obtained in delta control (2.91). In the general ranking of the effect of techniques on data quality, pattern control (5.95) and interval control (4.95), respectively, obtained the highest mean (out of 6). Conclusions: The results revealed that the existing HISs had fewer benefits of using data control. However, users not only consider it necessary to use these controls in the systems but also believe that their application will improve their performance in recording information. Thus, for accurate documentation, HIS designers must implement these techniques in these systems, and their application should become a mandatory standard for system development.http://www.sciencedirect.com/science/article/pii/S2352914822002593Hospital information systemData qualityData validityData control |
| spellingShingle | Atefe Sohrabi Azam Sabahi Ali Garavand Leila Ahmadian Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality Informatics in Medicine Unlocked Hospital information system Data quality Data validity Data control |
| title | Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality |
| title_full | Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality |
| title_fullStr | Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality |
| title_full_unstemmed | Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality |
| title_short | Data validation techniques used in admission discharge and transfer systems: Necessity of use and effect on data quality |
| title_sort | data validation techniques used in admission discharge and transfer systems necessity of use and effect on data quality |
| topic | Hospital information system Data quality Data validity Data control |
| url | http://www.sciencedirect.com/science/article/pii/S2352914822002593 |
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