Health information management : journal of the Health Information Management Association of Australia最新文献

{"title":"Attitudes towards data access and sharing health data for research: a case study of Australian data custodian perspectives.","authors":"Richard J Varhol, Suzanne Robinson, Crystal Man Ying Lee, Sean Randall, James H Boyd","doi":"10.1177/18333583251329533","DOIUrl":"https://doi.org/10.1177/18333583251329533","url":null,"abstract":"<p><strong>Background: </strong>The effective sharing of health data is critical for advancing public health research and improving health outcomes. Data custodians responsible for managing these data encounter various obstacles that prevent the efficient exchange of this information for research purposes. This study explores specific challenges to effective data custodianship and how they can be addressed to improve data sharing within the Australian health and human services sectors.</p><p><strong>Objectives: </strong>A case study to explore the complex landscape of data sharing from the perspective of data custodians. This includes identifying legislative complexities and related organisational cultural challenges associated with data requests that accompany the role of a data custodian and suggesting strategies to facilitate data sharing.</p><p><strong>Method: </strong>Utilising qualitative thematic analysis, semi-structured interviews were conducted to collect detailed perspectives on the practices and challenges of sharing health data from 11 data custodians across nine Australian healthcare organisations.</p><p><strong>Results: </strong>The study highlighted several common challenges affecting data sharing for research, including legislative hurdles, lack of uniform standards for data access, and inconsistent consent protocols across datasets. Internal organisational factors, such as data request assessment processes, organisational culture, and attitudes towards data sharing, emerged as critical barriers to the efficient sharing of data.</p><p><strong>Conclusion: </strong>Overcoming data-sharing barriers necessitates a multifaceted approach, requiring clear and consistent legislative frameworks for data access and establishing standards for transparent and efficient request assessment processes.Implications for health information management:Shifting data from a liability to a valuable asset can enhance decision-making, foster collaboration, and drive health sector innovation.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251329533"},"PeriodicalIF":0.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.","authors":"Syed Aqif Mukhtar, Benjamin R McFadden, Md Tauhidul Islam, Qiu Yue Zhang, Ehsan Alvandi, Philippa Blatchford, Samantha Maybury, John Blakey, Pammy Yeoh, Brendon C McMullen","doi":"10.1177/18333583241256048","DOIUrl":"10.1177/18333583241256048","url":null,"abstract":"<p><strong>Background: </strong>Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.</p><p><strong>Objective: </strong>The aim of this study was to create a HAC risk prediction machine learning (ML) framework using hospital administrative data collections within North Metropolitan Health Service (NMHS), Western Australia.</p><p><strong>Method: </strong>A retrospective cohort study was performed among 64,315 patients between July 2020 to June 2022 to develop an automated ML framework by inputting HAC and the healthcare site to obtain site-specific predictive algorithms for patients admitted to the hospital in NMHS. Univariate analysis was used for initial feature screening for 270 variables. Of these, 77 variables had significant relationship with any HAC. After excluding non-contemporaneous data, 37 variables were included in developing the ML framework based on logistic regression (LR), decision tree (DT) and random forest (RF) models to predict occurrence of four specific HACs: delirium, aspiration pneumonia, pneumonia and urinary tract infection.</p><p><strong>Results: </strong>All models exhibited similar performance with area under the curve scores around 0.90 for both training and testing datasets. For sensitivity, DT and RF exceeded LR performance while on average, false positives were lowest for LR-based models. Patient's length of stay, Charlson Index, operation length and intensive care unit stay were common predictors.</p><p><strong>Conclusion: </strong>Integrating ML-based risk detection systems into clinical workflows can potentially enhance patient safety and optimise resource allocation. LR-based models exhibited best performance.</p><p><strong>Implications: </strong>We have successfully developed a \"real-time\" risk prediction model, where patient risk scores are calculated and reviewed daily.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"109-120"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141763066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The health information management workforce: Looking to the future.","authors":"Sallyanne Wissmann, Joan Henderson, Kerin Robinson","doi":"10.1177/18333583241303635","DOIUrl":"10.1177/18333583241303635","url":null,"abstract":"","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"103-108"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using <i>personal health records</i> for medication continuity during transition of care: An observational study.","authors":"Martina Francis, Peter Francis, Meredith Makeham, Melissa T Baysari, Asad E Patanwala, Jonathan Penm","doi":"10.1177/18333583241270215","DOIUrl":"10.1177/18333583241270215","url":null,"abstract":"<p><p><b>Background:</b> National Personal Health Records (PHRs) have been proposed to improve the transfer of medication-related information during transition of care. <b>Objective:</b> To evaluate the concordance between the medications captured in the Australian national PHR, My Health Record (MyHR), and the pharmacist obtained best possible medication history (BPMH) for patients upon hospital admission. <b>Method:</b> This prospective observational study used a convenience sample of hospital patients. For newly admitted patients, the investigating pharmacist obtained a BPMH and then compared it to the medication list captured in MyHR. Upon comparison, the medications were categorised into either complete match, partial match or mismatch. Medications with a complete or partial match were grouped together. Medications with deviations were then assessed for risk based on their potential consequence, and reported descriptively. A multivariable logistic regression was conducted to assess the factors associated with a drug being mismatched. <b>Results:</b> A total of 82 patients were recruited, with a cumulative total of 1,207 medications documented. Of the 1,207 medications, 714 (59.2%) medications were documented as a complete/partial match. The remaining 493 (40.8%) medications were mismatched. Of the 493 mismatched medications, 442 (89.7%) were deemed low-risk deviations and 51 (10.3%) were deemed high-risk. A medication was more likely to be mismatched, rather than completely/partially matched, if it was a regular non-prescription medication, or \"when-required\" prescription medication, or \"when required\" non-prescription medication, or if it was administered parenterally. <b>Conclusion:</b> National PHRs may be a secondary source to either confirm a patient's medication history or be used as a starting point for a BPMH.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"150-159"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038059/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A scoping review of the educator role performed by Health Information Managers in health workplace-based education: The practitioner Health Information Manager-educator.","authors":"Jenn Lee, James Boyd, Hanan Khalil","doi":"10.1177/18333583241263989","DOIUrl":"10.1177/18333583241263989","url":null,"abstract":"<p><strong>Background: </strong>Health Information Managers (HIMs) play a crucial role in the management and governance of health information ensuring the accuracy, confidentiality and accessibility of health data for clinical care and business operational purposes. This role also extends to education and training in the workplace.</p><p><strong>Objective: </strong>The aim of this scoping review was to explore and elucidate the role played by HIMs when they undertake a health workplace-based (healthcare organisation or service) educational role and/or functions as evidenced in the existing body of literature.</p><p><strong>Method: </strong>A scoping review of the literature to investigated the importance of the educator role for HIM health workplace-based educators. A three-step search strategy was designed to ensure a comprehensive exploration of relevant research.</p><p><strong>Results: </strong>Of 63 articles assess for eligibility, 14 were included in the final analysis. All included articles acknowledged the importance of the HIM-educator workplace-based role. Half of the included articles had been published within the last 7 years. Only 8 of the 14 articles provided some description of HIM-educator attributes, suggesting that these characteristics remain unexplored.</p><p><strong>Discussion: </strong>Findings from this scoping review have shed light on the limitations within the current available literature concerning the attributes of HIM health workplace-based educators. The findings also highlight an important gap in knowledge concerning the qualities of these HIM-educators.</p><p><strong>Conclusion: </strong>This identified gap in the literature signals a need for further exploration and investigation into the specific attributes, skills, and characteristics that define effective HIM-educators undertaking a health workplace-based educational role.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"168-176"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038078/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141989696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of family planning information by primary healthcare clinic managers in South Africa.","authors":"Sophy Mogatlogedi Moloko, Mokholelana Margaret Ramukumba","doi":"10.1177/18333583241231993","DOIUrl":"10.1177/18333583241231993","url":null,"abstract":"<p><strong>Background: </strong>Routine family planning data in South Africa are managed using a routine health information system, which facilitates data collection, storage, processing, presentation and dissemination. Healthcare providers generate data daily as they carry out their duties. The information generated should be used for planning and evaluating health program performance and policy development.</p><p><strong>Objective: </strong>To explore the use of family planning information by primary healthcare (PHC) clinic managers in South Africa.</p><p><strong>Method: </strong>A qualitative descriptive exploratory study was carried out in 11 PHC clinics in Tshwane District. Individual semi-structured interviews were conducted with 11 clinic managers. The data were analysed using a thematic analysis approach.</p><p><strong>Results: </strong>Managers used the information to disseminate performance and feedback, monitor the program's performance and make decisions to improve the family planning service. However, they experienced challenges that hampered the effective use of the information.</p><p><strong>Conclusion: </strong>The use of family planning information is critical for improving the performance of the program. The clinics need sufficient skilled healthcare providers who are able to provide comprehensive family planning and generate accurate and reliable information that can be used to improve the service. Collaboration between the private and public sectors is critical in monitoring the program's performance.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"131-138"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038060/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140144778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors influencing the use of big data within healthcare services: a systematic review.","authors":"Mohsen Khosravi, Seyyed Morteza Mojtabaeian, Zahra Zare","doi":"10.1177/18333583241270484","DOIUrl":"10.1177/18333583241270484","url":null,"abstract":"<p><p><b>Background:</b> The emergence of big data holds the promise of aiding healthcare providers by identifying patterns and converting vast quantities of data into actionable insights facilitating the provision of precision medicine and decision-making. <b>Objective:</b> This study aimed to investigate the factors influencing use of big data within healthcare services to facilitate their use. <b>Method:</b> A systematic review was conducted in February 2024, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Database searches for articles published between 01 January 2020 and 18 February 2024 and included PubMed, Scopus, ProQuest and Cochrane Library. The Authority, Accuracy, Coverage, Objectivity, Date, Significance ( AACODS) checklist was used to evaluate the quality of the included articles. Subsequently, a thematic analysis was conducted on the findings of the review, using the Boyatzis approach. <b>Results:</b> A final selection of 46 studies were included in this systematic review. A significant proportion of these studies demonstrated acceptable quality, and the level of bias was deemed satisfactory. Thematic analysis identified seven major themes that influenced the use of big data in healthcare services. These themes were grouped into four primary categories: performance expectancy, effort expectancy, social influence, and facilitating conditions. Factors associated with \"effort expectancy\" were the most highly cited in the included studies (67%), while those related to \"social influence\" received the fewest citations (15%). <b>Conclusion:</b> This study underscored the critical role of \"effort expectancy\" factors, particularly those under the theme of \"data complexity and management,\" in the process of using big data in healthcare services. <b>Implications:</b> Results of this study provide groundwork for future research to explore facilitators and barriers to using big data in health care, particularly in relation to data complexity and the efficient and effective management of big data, with significant implications for healthcare administrators and policymakers.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"190-201"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Researchers' perceptions of the trustworthiness, for reuse purposes, of government health data in Victoria, Australia: Implications for policy and practice.","authors":"Merilyn Riley, Monique F Kilkenny, Kerin Robinson, Sandra G Leggat","doi":"10.1177/18333583241256049","DOIUrl":"10.1177/18333583241256049","url":null,"abstract":"<p><p>In 2022 the Australian Data Availability and Transparency Act (DATA) commenced, enabling accredited \"data users\" to access data from \"accredited data service providers.\" However, the DATA Scheme lacks guidance on \"trustworthiness\" of the data to be utilised for reuse purposes. <b>Objectives</b>: To determine: (i) Do researchers using government health datasets trust the data? (ii) What factors influence their perceptions of data trustworthiness? and (iii) What are the implications for government and data custodians? <b>Method:</b> Authors of published studies (2008-2020) that utilised Victorian government health datasets were surveyed via a case study approach. Twenty-eight trust constructs (identified via literature review) were grouped into data factors, management properties and provider factors. <b>Results:</b> Fifty experienced health researchers responded. Most (88%) believed that Victorian government health data were trustworthy. When <i>grouped</i>, data factors and management properties were more important than data provider factors in building trust. The most important <i>individual</i> trust constructs were: \"compliant with ethical regulation\" (100%) and \"monitoring privacy and confidentiality\" (98%). Constructs of least importance were knowledge of \"participant consent\" (56%) and \"major focus of the data provider was research\" (50%). <b>Conclusion:</b> Overall, the researchers trusted government health data, but data factors and data management properties were more important than data provider factors in building trust. <b>Implications</b>: Government should ensure the DATA Scheme incorporates mechanisms to validate those data utilised by accredited data users and data providers have sufficient quality (intrinsic and extrinsic) to meet the requirements of \"trustworthiness,\" and that evidentiary documentation is provided to support these \"accredited data.\"</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"139-149"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141753525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical record-keeping educational interventions for medical students and residents: a systematic review.","authors":"Emre Emekli, Özlem Coşkun, Işıl İrem Budakoğlu","doi":"10.1177/18333583241269031","DOIUrl":"10.1177/18333583241269031","url":null,"abstract":"<p><strong>Background: </strong>Medical records, encompassing patient histories, progress notes, and more, play a crucial role in patient care and treatment, healthcare communication, medico-legal matters, and supporting financial documentation.</p><p><strong>Objective: </strong>Despite their significance, literature suggests inconsistencies in record quality and insufficient formal medical record-keeping education for medical students and residents. The study aimed to identify and evaluate the effectiveness of educational interventions by conducting a systematic review.</p><p><strong>Method: </strong>A literature search covering 2003-2023 and review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was undertaken.</p><p><strong>Results: </strong>The literature search identified 44 relevant studies for inclusion. Educational methods, including lectures, feedback, workshops and discussions, addressed different components of the clinical record. The review revealed positive impacts on participant satisfaction, skills and attitudes related to record-keeping. However, some studies reported no significant positive outcomes, emphasising the need for higher-level evidence. Most studies adopted a single-group pretest-posttest design, presenting challenges in control group implementation. The Kirkpatrick evaluation levels were primarily at level 2, with few studies reaching level 3. The absence of studies at level 4 suggested the need for more robust evidence. Studies targeted medical residents more frequently than medical students, with a lack of interventions during the first year of medical education.</p><p><strong>Conclusion: </strong>Despite limitations including language bias and methodological variations, the review revealed diverse educational strategies and highlighted the necessity for more randomised controlled trials and studies providing higher-level evidence to enhance clinical record-keeping skills among medical students and residents.</p><p><strong>Implications: </strong>Medical record-keeping educational interventions can significantly improve the documentation skills of medical students and residents, thereby enhancing patient care, communication and medico-legal compliance.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"177-189"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Work-integrated learning for health information management students: Lessons learned from literature, and experiences of supervisors and students on virtual or remote placements.","authors":"Natasha Prasad, Madeleine Maloof, Stephanie Gjorgioski, Merilyn Riley","doi":"10.1177/18333583241227002","DOIUrl":"10.1177/18333583241227002","url":null,"abstract":"<p><strong>Background: </strong>Traditionally, health placements have required practical in-person learning, including placements completed by health information management (HIM) students. COVID-19 made in-person healthcare placements largely unviable. Alternative virtual/remote placements were required.</p><p><strong>Aims: </strong>(1) Explore the experiences of virtual/remote placements for HIM students and their supervisors; (2) Compare these experiences to the literature on barriers and facilitators for virtual/remote placement and (3) Develop best practice guidelines for the delivery of virtual/remote placements for HIM students.</p><p><strong>Method: </strong>A cross-sectional survey asked final-year HIM placement students and their supervisors about their virtual/remote placement experiences in 2021. Survey findings were compared to 10 barriers and facilitators for remote/virtual placements identified in the literature.</p><p><strong>Results: </strong>Students were challenged by autonomous virtual/remote placements but enjoyed their flexibility. A work schedule provides placement structure to students. The use of technology was embraced although unfamiliarity with video-conferencing software prior to placement was an issue for some students. The most common method of student-supervisor communication was email. However, students missed casual corridor conversations. The importance of maintaining a community of practice was reported in the literature and confirmed by students. Most students preferred undertaking a virtual/remote placement rather than delaying graduation. The majority of supervisors reported complete satisfaction with the placement students' performance.</p><p><strong>Conclusion: </strong>Virtual/remote placements were a viable option for HIM students when in-person placements were impossible. Students required a work-based schedule, appropriate information technology, a dedicated workspace, familiarity with communication technologies, good communication channels with their supervisors and a supportive 'community of practice'. HIM supervisors were satisfied with virtual/remote methods of placement delivery.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"121-130"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139567684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}