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Lin A, Ford N, Willett P. Scholarly communication between health informatics and information systems: A bibliometric study. Health Informatics J 2024; 30:14604582241259331. [PMID: 38856153 DOI: 10.1177/14604582241259331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
The challenges of IT adoption in the healthcare sector have generated much interest across a range of research communities, including Information Systems (IS) and Health Informatics (HI). Given their long-standing interest in IT design, development, implementation, and adoption to improve productivity and support organisational transformation, the IS and HI fields are highly correlated in their research interests. Nevertheless, the two fields serve different academic audiences, have different research foci, and theorise IT artifacts differently. We investigate the dyadic relationship between health information systems (HIS) research in IS and HI through the communication patterns between the two fields. We present the citation analysis results of HIS research published in IS and HI journals between 2000 and 2020. The results revealed that despite the two fields sharing a common interest, communication between them is limited and only about specific topics. Potentially relevant ideas and theories generated in IS have not yet been sufficiently recognised by HI scholars and incorporated into the HI literature. However, the upward trend of HIS publications in IS indicates that IS has the potential to contribute more to HI.
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Affiliation(s)
- Angela Lin
- Information School, University of Sheffield, Sheffield, United Kingdom of Great Britain and Northern Ireland
| | - Nigel Ford
- Information School, University of Sheffield, Sheffield, United Kingdom of Great Britain and Northern Ireland
| | - Peter Willett
- Information School, University of Sheffield, Sheffield, United Kingdom of Great Britain and Northern Ireland
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Pahlevanynejad S, Danaee N, Safdari R. A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research. J Biomed Phys Eng 2024; 14:183-198. [PMID: 38628889 PMCID: PMC11016830 DOI: 10.31661/jbpe.v0i0.2105-1345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 07/20/2021] [Indexed: 04/19/2024]
Abstract
Background Registries are regarded as a just valuable fount of data on determining neonates suffering prematurity or low birth weight (LBW), ameliorating provided care, and developing studies. Objective This study aimed to probe the studies, including premature infants' registries, adapt the needed minimum data set, and provide an offered framework for premature infants' registries. Material and Methods For this descriptive study, electronic databases including PubMed, Scopus, Web of Science, ProQuest, and Embase/Medline were searched. In addition, a review of gray literature was undertaken to identify relevant studies in English on current registries and databases. Screening of titles, abstracts, and full texts was conducted independently based on PRISMA guidelines. The basic registry information, scope, registry type, data source, the purpose of the registry, and important variables were extracted and analyzed. Results Fifty-six papers were qualified and contained in the process that presented 51 systems and databases linked in prematurity at the popular and government levels in 34 countries from 1963 to 2017. As a central model of the information management system and knowledge management, a prematurity registry framework was offered based on data, information, and knowledge structure. Conclusion To the best of our knowledge, this is a comprehensive study that has systematically reviewed prematurity-related registries. Since there are international standards to develop new registries, the proposed framework in this article can be beneficial too. This framework is essential not only to facilitate the prematurity registry design but also to help the collection of high-value clinical data necessary for the acquisition of better clinical knowledge.
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Affiliation(s)
- Shahrbanoo Pahlevanynejad
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
- Department of Health Information Technology, Sorkheh School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran
| | - Navid Danaee
- Department of Pediatric, Semnan University of Medical Sciences, Semnan, Iran
| | - Reza Safdari
- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
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Dai L, Wu Z, Pan X, Zheng D, Kang M, Zhou M, Chen G, Liu H, Tian X. Design and implementation of an automatic nursing assessment system based on CDSS technology. Int J Med Inform 2024; 183:105323. [PMID: 38141563 DOI: 10.1016/j.ijmedinf.2023.105323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 11/26/2023] [Accepted: 12/17/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Various quantitative and quality assessment tools are currently used in nursing to evaluate a patient's physiological, psychological, and socioeconomic status. The results play important roles in evaluating the efficiency of healthcare, improving the treatment plans, and lowing relevant clinical risks. However, the manual process of the assessment imposes a substantial burden and can lead to errors in digitalization. To fill these gaps, we proposed an automatic nursing assessment system based on clinical decision support system (CDSS). The framework underlying the CDSS included experts, evaluation criteria, and voting roles for selecting electronic assessment sheets over paper ones. METHODS We developed the framework based on an expert voting flow to choose electronic assessment sheets. The CDSS was constructed based on a nursing process workflow model. A multilayer architecture with independent modules was used. The performance of the proposed system was evaluated by comparing the adverse events' incidence and the average time for regular daily assessment before and after the implementation. RESULTS After implementation of the system, the adverse nursing events' incidence decreased significantly from 0.43 % to 0.37 % in the first year and further to 0.27 % in the second year (p-value: 0.04). Meanwhile, the median time for regular daily assessments further decreased from 63 s to 51 s. CONCLUSIONS The automatic assessment system helps to reduce nurses' workload and the incidence of adverse nursing events.
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Affiliation(s)
- Ling Dai
- Hangzhou Children's Hospital, Hangzhou, Zhejiang, China
| | - Zhijun Wu
- ZhongWei Institute of Nursing Information, Beijing, China
| | - Xiaocheng Pan
- Hangzhou Children's Hospital, Hangzhou, Zhejiang, China
| | - Dingchang Zheng
- Research Centre for Intelligent Healthcare Coventry University, Coventry, UK
| | - Mengli Kang
- Hangzhou Children's Hospital, Hangzhou, Zhejiang, China
| | - Mingming Zhou
- Hangzhou Children's Hospital, Hangzhou, Zhejiang, China
| | - Guanyu Chen
- Ewell Technology Co., Ltd, Hangzhou, Zhejiang, China
| | - Haipeng Liu
- Research Centre for Intelligent Healthcare Coventry University, Coventry, UK.
| | - Xin Tian
- The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
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Herawati MH, Idaiani S, Maryati, Fitriana, Lucitawati, Veruswati M, Hoekstra K, Asyary A. Health information system concept in health services in the national health insurance (JKN) era in Indonesia: An environment and one health approach. Front Public Health 2022; 10:952415. [PMID: 36311577 PMCID: PMC9606747 DOI: 10.3389/fpubh.2022.952415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 09/20/2022] [Indexed: 01/24/2023] Open
Abstract
The health information system is a component of the healthcare system. The health information system in health services in Indonesia has experienced many problems in getting support for policy making, the implementation of the industrial revolution 4.0, and national health insurance (JKN). To answer the above problems, it is necessary to make a concept of health information systems in health services that based on environment and one health perspectives. This research was part of the thematic research of the 2019 JKN National Health Facilities Survey (Rifaskes) in Indonesia. The systems approach and cross-sectional research were carried out by collecting quantitative data. A structural equation model with Lisrel 88 software was used to model the health information system. The health information system produced a concept that included the following structured input components: governance, human resources, infrastructure, types of information system (IS) (program, JKN, management), and financing; process components: funding, technical guidance, and verification and validation; and output components: open access, standards and quality, utilization, bridging, and security. The concept for strengthening the health information system prioritizes improving the output components (standards, utilization, bridging, open access, and security) in the process components (funding, verification, technical guidance) while the input components (financing, human resources, governance, IS programs, infrastructure, IS JKN, IS management).
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Affiliation(s)
| | - Sri Idaiani
- National Research and Innovation Agency, Jakarta, Indonesia
| | - Maryati
- Health Sciences College of Abdi Nusantara, Jakarta, Indonesia
| | - Fitriana
- National Research and Innovation Agency, Jakarta, Indonesia
| | - Lucitawati
- National Research and Innovation Agency, Jakarta, Indonesia
| | - Meita Veruswati
- Faculty of Health Science, Universitas Muhammadiyah Prof. Dr. HAMKA (UHAMKA), Jakarta, Indonesia
| | - Karina Hoekstra
- Institut für Informationsmanagement Bremen (IFIB), University of Bremen, Bremen, Germany
| | - Al Asyary
- Department Environmental Health, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia,*Correspondence: Al Asyary
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Turan AH, Koç T. Health information technology adoption and acceptance of Turkish physicians-A model proposal and empirical assessment. Health Informatics J 2022; 28:14604582221096041. [PMID: 35636431 DOI: 10.1177/14604582221096041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Health Information Technology (HIT) systems are receiving increasing attention in recent years. Yet, individual adoption research in health care settings, especially in developing countries are quite limited. Moreover, large body of Information Systems research has focused on user perceptions to form intentions to use a particular technology. However, the antecedents and consequences of perceptions remained largely unanswered in existing research. This study aims to fill this gap by proposing and testing a research model based on a modified Technology Acceptance Model (m - TAM) which incorporates socio psychological and cognitive factors to assess the HIT's adoption level of Turkish physicians. To do so, two different methods were used to collect data from head physicians, assistant head physicians, and physicians: face to face and online survey. Total 212 useful responses were returned. 174 of them were face-to-face surveys which were administrated to all the first level and some second and third level health organizations. The rest of the surveys were administrated to the second and third level healthcare organizations via online participation. Data were analyzed by Structural Equation Modelling via SmartPLS software program. Results present that commitment is a strong predictor of HIT usage, whereas neither motivation nor resistance has a significant impact on HIT usage.
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Affiliation(s)
- Aykut H Turan
- MIS Department, Business School, 52992Sakarya University, Turkey
| | - Tuğba Koç
- MIS Department, Business School, 52992Sakarya University, Turkey
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Al-Otaibi J, Tolma E, Alali W, Alhuwail D, Aljunid SM. Factors contributing to physicians’ current use and satisfaction of electronic health records (EHRs) in Kuwait’s public health care: Cross-Sectional Questionnaire Study (Preprint). JMIR Med Inform 2022; 10:e36313. [PMID: 36206039 PMCID: PMC9587489 DOI: 10.2196/36313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 08/02/2022] [Accepted: 09/07/2022] [Indexed: 12/04/2022] Open
Abstract
Background Electronic health record (EHR) has emerged as a backbone health care organization that aims to integrate health care records and automate clinical workflow. With the adoption of the eHealth care system, health information communication technologies and EHRs are offering significant health care advantages in the form of error reduction, improved communication, and patient satisfaction. Objective This study aimed to (1) investigate factors associated with physicians’ EHR adoption status and prevalence of EHRs in Kuwait and (2) identify factors predicting physician satisfaction with EHRs in public hospitals in Kuwait. Methods This study was conducted at Kuwait’s public Al-Jahra hospital from May to September 2019, using quantitative research methods. Primary data were gathered via questionnaires distributed among 295 physicians recruited using convenience sampling. Data were analyzed in SPSS using descriptive, bivariate, and multivariate linear regression, adjusted for demographics. Results Results of the study revealed that the controlled variable of gender (β=–.197; P=.02) along with explanatory variables, such as training quality (β=.068; P=.005), perception of barriers (β=–.107; P=.04), and effect on physician (β=.521; P<.001) have a significant statistical relationship with physicians’ EHR adoption status. Furthermore, findings also suggested that controlled variables of gender (β=–.193; P=.02), education (β=–.164; P=.03), effect on physician (β=.417; P<.001), and level of ease of use (β=.254; P<.001) are significant predictors of the degree of physician satisfaction with the EHR system. Conclusions The findings of this study had significant managerial and practical implications for creating an inductive environment for the acceptance of EHR systems across a broad spectrum of health care system in Kuwait.
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Affiliation(s)
- Jawaher Al-Otaibi
- Department of Health Policy and Management, College of Public Health, Kuwait University, Kuwait City, Kuwait
| | - Eleni Tolma
- Social Behavioral Sciences, College of Public Health, Kuwait Unviersity, Kuwait City, Kuwait
- Department of Education, European University Cyprus, Nicosia city, Cyprus
| | - Walid Alali
- Department of Health Policy and Management, College of Public Health, Kuwait University, Kuwait City, Kuwait
| | - Dari Alhuwail
- College of Life Sciences, Kuwait University, Kuwait City, Kuwait
| | - Syed Mohamed Aljunid
- Department of Health Policy and Management, College of Public Health, Kuwait University, Kuwait City, Kuwait
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Sharma V, Piscoran O, Summers A, Woywodt A, van der Veer SN, Ainsworth J, Augustine T. The use of health information technology in renal transplantation: A systematic review. Transplant Rev (Orlando) 2021; 35:100607. [PMID: 33607425 DOI: 10.1016/j.trre.2021.100607] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/04/2021] [Accepted: 02/06/2021] [Indexed: 10/22/2022]
Abstract
Renal transplantation is a complex, multi-disciplinary and cross-center service. Clinical pathways naturally traverse specialty and organizational boundaries as patients transition from chronic kidney disease to renal failure and ultimately transplantation. Health information technology (IT) has the potential to support transplant care by improving access to data, information sharing and communication. This novel review aimed to identify and characterize health IT solutions in renal transplantation, and where possible evaluate any intended benefits. A systematic literature review was conducted of studies covering any part of the clinical pathway, with end-users being clinical staff or patients. Interventions were characterized and evaluated for achieved benefits using the World Health Organization (WHO) Classification of Digital Health Interventions and the mixed methods assessment tool (MMAT) was used to determine the quality of experimental studies. Of 4498 articles, 12 descriptive and 6 experimental studies met the inclusion criteria. Median MMAT percentage score of experimental studies was 64 (i.q.r. 57 to 74.8). The most frequent functionality of technology involved overcoming communication roadblocks and improving access to data. Intended benefits included improving information management and supporting workflow, however only one study reported evaluated results. Six patient-facing applications that primarily addressed adherence-to-treatment were identified, five of which were evaluated for intended benefits, showing overall positive results. Overall, despite transplantation being well suited to health IT interventions, this review demonstrates a scarcity of literature in this field. A small number of clinician- and patient-facing IT solutions have been reported, albeit mostly in non-experimental studies. Due to this lack of formal evaluation, the effectiveness of solutions remains unclear. High-quality evaluative studies are required to develop effective IT solutions that improve clinical care.
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Affiliation(s)
- Videha Sharma
- Manchester University Hospitals NHS Foundation Trust, Department of Renal and Pancreatic Transplantation, Manchester Academic Health Science Centre, Manchester, Greater Manchester, M13 9WL, UK; Centre for Health Informatics, Division of Informatics, Imaging and Data Science, University of Manchester Faculty of Biology, Medicine and Health, Manchester, Greater Manchester, M13 9PT, UK.
| | - Oana Piscoran
- Manchester University Hospitals NHS Foundation Trust, Department of Renal and Pancreatic Transplantation, Manchester Academic Health Science Centre, Manchester, Greater Manchester, M13 9WL, UK
| | - Angela Summers
- Manchester University Hospitals NHS Foundation Trust, Department of Renal and Pancreatic Transplantation, Manchester Academic Health Science Centre, Manchester, Greater Manchester, M13 9WL, UK; University of Manchester Faculty of Biology, Medicine and Health, Division of Diabetes, Endocrinology and Gastroenterology, Manchester, Greater Manchester, M13 9PT, UK
| | - Alexander Woywodt
- Lancashire Teaching Hospitals NHS Foundation Trust, Department of Nephrology, Royal Preston Hospital, Preston, Lancashire, PR2 9HT, UK
| | - Sabine N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, University of Manchester Faculty of Biology, Medicine and Health, Manchester, Greater Manchester, M13 9PT, UK
| | - John Ainsworth
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, University of Manchester Faculty of Biology, Medicine and Health, Manchester, Greater Manchester, M13 9PT, UK
| | - Titus Augustine
- Manchester University Hospitals NHS Foundation Trust, Department of Renal and Pancreatic Transplantation, Manchester Academic Health Science Centre, Manchester, Greater Manchester, M13 9WL, UK; University of Manchester Faculty of Biology, Medicine and Health, Division of Diabetes, Endocrinology and Gastroenterology, Manchester, Greater Manchester, M13 9PT, UK
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Kessler SR, Pindek S, Kleinman G, Andel SA, Spector PE. Information security climate and the assessment of information security risk among healthcare employees. Health Informatics J 2019; 26:461-473. [PMID: 30866704 DOI: 10.1177/1460458219832048] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Since 2009, over 176 million patients in the United States have been adversely impacted by data breaches affecting Health Insurance Portability and Accountability Act-covered institutions. While the popular press often attributes data breaches to external hackers, most breaches are the result of employee carelessness and/or failure to comply with information security policies and procedures. To change employee behavior, we borrow from the organizational climate literature and introduce the Information Security Climate Index, developed and validated using two pilot samples. In this study, four categories of healthcare professionals (certified nursing assistants, dentists, pharmacists, and physician assistants) were surveyed. Likert-type items were used to assess the Information Security Climate Index, information security motivation, and information security behaviors. Study results indicated that the Information Security Climate Index was related to better employee information security motivation and information security behaviors. In addition, there were observed differences between occupational groups with pharmacists reporting a more favorable climate and behaviors than physician assistants.
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Liljamo P, Kinnunen UM, Saranto K. Assessing the relation of the coded nursing care and nursing intensity data: Towards the exploitation of clinical data for administrative use and the design of nursing workload. Health Informatics J 2018; 26:114-128. [PMID: 30516092 DOI: 10.1177/1460458218813613] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Patient-care data from the electronic health record systems are increasingly in demand for re-use in administration and resource planning. Nursing documentation with coded concepts is expected to produce more reliable data, fulfilling better requirements for re-use. The aim was to ascertain what kind of relation exist between coded nursing diagnoses, nursing interventions, and nursing intensity and to discuss the possibilities for re-using nursing data for workload design. We analysed the retrospective nursing records of 794 patients documented by the Finnish Care Classification and nursing intensity data assessed by the Oulu Patient Classification over a 15-day period in nine inpatient units at a university hospital. Using the generalised linear mixed model, the clear relationship between the number of coded nursing notes and nursing intensity levels were ascertained. The number of coded nursing notes increases when the nursing intensity increases. The outcomes construct a good basis for continuing elaboration of electronic health record data re-use.
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Affiliation(s)
- Pia Liljamo
- Oulu University Hospital, Finland; University of Eastern Finland, Finland
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