Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining
Introduction: Health service quality refers to all efforts to prevent a negative outcome in the health status of individuals. For this reason, measuring and evaluating the quality of health services is important to increase the quality of services provided. Aim: In this study, Joint Commission Inter...
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| Format: | Article |
| Language: | English |
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Association of Nurse Managers
2022-12-01
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| Series: | Sağlık ve Hemşirelik Yönetimi Dergisi |
| Subjects: | |
| Online Access: | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=shyd&un=SHYD-37801 |
| _version_ | 1797289369578504192 |
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| author | Sinem Cece İlker Köse |
| author_facet | Sinem Cece İlker Köse |
| author_sort | Sinem Cece |
| collection | DOAJ |
| description | Introduction: Health service quality refers to all efforts to prevent a negative outcome in the health status of individuals. For this reason, measuring and evaluating the quality of health services is important to increase the quality of services provided.
Aim: In this study, Joint Commission International's (JCI) accepted indicator-based health service quality measurement model and the Healthcare Information and Management Systems Society's (HIMSS)-Electronic Medical Record Adoption Model (EMRAM) are discussed.
Method: This research used the bag-of-words model (BoW), a text mining method.
Result: As a result of the analysis, the similarity of keywords (as unigrams) used in all of the guides was found to be approximately 33%, the bigram similarity was 6% and the trigram similarity was 3%.
Conclusion: The fact that the similarity between the two models is not higher can be explained by the fact that, unlike JCI, the HIMSS EMRAM model handles the quality of health services with a digitalization axis. Text mining opens up new research areas as a method for comparing quality standards with new and interesting results. |
| first_indexed | 2024-03-07T19:03:57Z |
| format | Article |
| id | doaj.art-06f518630e54459b8e44102421c51791 |
| institution | Directory Open Access Journal |
| issn | 2149-018X |
| language | English |
| last_indexed | 2024-03-07T19:03:57Z |
| publishDate | 2022-12-01 |
| publisher | Association of Nurse Managers |
| record_format | Article |
| series | Sağlık ve Hemşirelik Yönetimi Dergisi |
| spelling | doaj.art-06f518630e54459b8e44102421c517912024-03-01T09:31:38ZengAssociation of Nurse ManagersSağlık ve Hemşirelik Yönetimi Dergisi2149-018X2022-12-019337138210.54304/SHYD.2022.37801SHYD-37801Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text MiningSinem Cece0İlker Köse1İstanbul Medipol University, Social Science Institute, Department of Management and Strategy, İstanbul, Turkeyİstanbul Medipol University, Faculty of Health Science, Department of Health Management, İstanbul, TurkeyIntroduction: Health service quality refers to all efforts to prevent a negative outcome in the health status of individuals. For this reason, measuring and evaluating the quality of health services is important to increase the quality of services provided. Aim: In this study, Joint Commission International's (JCI) accepted indicator-based health service quality measurement model and the Healthcare Information and Management Systems Society's (HIMSS)-Electronic Medical Record Adoption Model (EMRAM) are discussed. Method: This research used the bag-of-words model (BoW), a text mining method. Result: As a result of the analysis, the similarity of keywords (as unigrams) used in all of the guides was found to be approximately 33%, the bigram similarity was 6% and the trigram similarity was 3%. Conclusion: The fact that the similarity between the two models is not higher can be explained by the fact that, unlike JCI, the HIMSS EMRAM model handles the quality of health services with a digitalization axis. Text mining opens up new research areas as a method for comparing quality standards with new and interesting results.https://jag.journalagent.com/z4/download_fulltext.asp?pdir=shyd&un=SHYD-37801quality of healthcarequality indicators healthcaremedical informaticsdata analysistext mining |
| spellingShingle | Sinem Cece İlker Köse Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining Sağlık ve Hemşirelik Yönetimi Dergisi quality of healthcare quality indicators healthcare medical informatics data analysis text mining |
| title | Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining |
| title_full | Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining |
| title_fullStr | Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining |
| title_full_unstemmed | Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining |
| title_short | Comparative Analysis of Joint Commission International and Healthcare Information and Management Systems - Electronic Medical Record Adoption Model Measurement Models using Text Mining |
| title_sort | comparative analysis of joint commission international and healthcare information and management systems electronic medical record adoption model measurement models using text mining |
| topic | quality of healthcare quality indicators healthcare medical informatics data analysis text mining |
| url | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=shyd&un=SHYD-37801 |
| work_keys_str_mv | AT sinemcece comparativeanalysisofjointcommissioninternationalandhealthcareinformationandmanagementsystemselectronicmedicalrecordadoptionmodelmeasurementmodelsusingtextmining AT ilkerkose comparativeanalysisofjointcommissioninternationalandhealthcareinformationandmanagementsystemselectronicmedicalrecordadoptionmodelmeasurementmodelsusingtextmining |