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

{"title":"The Australian Immunisation Register (AIR): Insights from working with AIR data.","authors":"Brynley P Hull, Alexandra Hendry, Frank Beard, Aditi Dey","doi":"10.1177/18333583251343479","DOIUrl":"https://doi.org/10.1177/18333583251343479","url":null,"abstract":"<p><p><b>Background:</b> The Australian Childhood Immunisation Register (ACIR), established in 1996, captures details of vaccinations given to children aged <7 years, expanded in 2016 to the whole-of-life Australian Immunisation Register (AIR). <b>Objective:</b> Overview of ACIR/AIR, how health information captured is managed and how AIR data facilitate insights into vaccination reporting trends. <b>Method:</b> The authors, with 58 years of collective experience in analysing and interpreting ACIR/AIR data, reviewed formal and grey literature relevant to ACIR/AIR and their operation and use. We analysed AIR data to document how data transmission to AIR and vaccination provider settings has evolved. <b>Results:</b> We describe policy and program changes instrumental to the ACIR-AIR expansion, AIR data fields, methodology for measuring population-level vaccination coverage, and ways data are used for: monitoring and evaluation of immunisation programs; public health surveillance; linked data analyses; vaccine effectiveness studies and other research. We show evidence of changing vaccination landscape including increasing trends in electronic data transmission (e.g. proportion of vaccinations given to children aged <10 years and notified to ACIR/AIR using practice management software increased from 56% in 2014 to 89% in 2023) and increase in vaccinations given in pharmacies (e.g. proportion of influenza vaccinations given to adults aged 20-64 years in pharmacies increased from 0.9% in 2017 to 26.9% in 2023). <b>Conclusion:</b> The AIR has been instrumental in monitoring and evaluating the reach and impact of Australia's publicly funded immunisation programs across the life course. <b>Implications for health information management practice:</b> Health information managers working with vaccination data contribute to the AIR through data management and upload to the AIR.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251343479"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327909","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":"Information system support for case-based knowledge formation in social welfare: a cross-sectional study.","authors":"Elina Tynkkynen, Samuel Salovaara, Johanna Viitanen, Tinja Lääveri","doi":"10.1177/18333583251343681","DOIUrl":"https://doi.org/10.1177/18333583251343681","url":null,"abstract":"<p><p><b>Background:</b> Although client information systems (CIS) should provide social welfare professionals (SWPs) with a comprehensive overview of a client's situation for case-based knowledge formation (CBKF), research into SWPs' user experiences is scarce. <b>Objective</b>: The aim of this study was to examine SWPs' experiences of CISs' support for CBKF. <b>Methods:</b> In 2020, a nationwide cross-sectional CIS usability survey was conducted with 980 respondents in Finland. The 16 questionnaire statements pertained to technical functionality, usability, client information quality and access to case-based information in CISs. The factors contributing to CISs' support for CBKF were analysed using univariable and multiple classification analyses. <b>Results:</b> The strongest predictors of CIS support for CBKF were usability and quality of information. Moreover, SWPs working in institutional care were more satisfied than their colleagues in other working environments. <b>Conclusion</b>: SWPs perceived the CISs' information quality to be good, but there was a need for improvement in usability, for instance, via comprehensive summary views and dashboards of essential information. <b>Implications for health information management practice</b>: The findings highlight that while the information quality of CISs is generally perceived as good, improving usability is crucial for enhancing support for CBKF among SWPs.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251343681"},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144310915","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":"Exploration of the role of health information managers in the world of clinical registries.","authors":"Catherine Burns, Ailie Sanders, Merilyn Riley, Olivia Ryan, Monique F Kilkenny","doi":"10.1177/18333583251344982","DOIUrl":"https://doi.org/10.1177/18333583251344982","url":null,"abstract":"<p><p><b>Background:</b> There is increased demand for health information managers (HIMs) to work at clinical registries. <b>Objective:</b> To explore and describe the (i) roles and responsibilities of HIMs and (ii) reported HIM workforce within Australian clinical registries. <b>Method:</b> Two cross-sectional surveys were undertaken with qualified HIMs and data custodians. Respondents were engaged through snowballing methods. Descriptive statistics were used to summarise quantitative data from both surveys. Inductive thematic analysis was used to summarise free-text responses. <b>Results:</b> Sixteen HIMs completed the survey (94% female; 50% aged <40 years; median 8 years post-graduation). The majority reported varied roles and responsibilities which spanned most of the domains of the profession, particularly tasks related to data and database management (81%), and data analysis and reporting (81%). Some HIMs are under-utilised, identifying that they would be more satisfied in their role if they could \"<i>use more of [their] health information management skills</i>.\" From 27 responses to the data custodian survey, 12 employed HIMs and demonstrated a good understanding of their skills, which aligned with responses to the HIM survey. There was a gap identified in database management and analysis skills (n = 4) at clinical registries that do not employ HIMs. <b>Conclusion:</b> HIMs play an important role within clinical registries, especially related to data management, analysis and reporting. Ongoing advocacy is required to increase the understanding of HIMs' skills and to increase the responsibilities and number of HIMs working at clinical registries. <b>Implications for health information management practice:</b> HIMs are well-positioned to contribute to Australian clinical registries.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251344982"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295451","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":"Congenital anomaly registers in Australia: A national challenge.","authors":"Merilyn Riley, Lisa Hui","doi":"10.1177/18333583251343623","DOIUrl":"https://doi.org/10.1177/18333583251343623","url":null,"abstract":"<p><p><b>Background:</b> Robust population health surveillance is required to monitor trends in prevalence in congenital anomalies (CA) and to detect emerging threats to human development. All eight Australian states and territories are mandated to report CA data to national authorities. <b>Objectives:</b> (i) Compare Australian congenital anomaly registers (CARs) across jurisdictions; (ii) measure research utilisation of Australian CAR data. <b>Method:</b> We conducted a documentary analysis of publicly available online information on Australian CARs and performed a scoping review of peer-reviewed research published from 1980 to 2024 that utilised CAR data. <b>Results:</b> Five Australian states/territories possessed an established CAR; three practiced active surveillance, and three included mandatory reporting. Age of child inclusion criteria ranged from birth episode to 6 years. Most states/territories classified CAs according to the <i>International Classification of Diseases 10th Revision Australian Modification</i> (ICD-10-AM). There was inconsistency in scope, data sources, method of ascertainment, data linkage processes, data availability, reporting requirements and data quality. The scoping review identified 83 peer-reviewed publications using CAR data. The majority of publications originated from three states/territories and included key CAR staff as authors. Only one state/territory CAR consistently published research over the 44-year review period. <b>Conclusion:</b> There are major methodological inconsistencies among Australian CARs, undermining the interpretability and quality of nationally reported CA data. More standardisation and resourcing are required to maximise the research and policy value of Australian CARs. <b>Implications for health information management practice:</b> Urgent attention to data management practices, harmonisation across jurisdictions and resourcing are required to safeguard the sustainability and value of Australian CARs.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251343623"},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276928","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 biopsychosocial-spiritual impact on non-clinical health professionals who interact with traumatic and/or sensitive health data: A scoping review.","authors":"Melanie Tassos, Lindsay B Carey, Stephanie Gjorgioski, Brad Hodge, Merilyn Riley","doi":"10.1177/18333583251338406","DOIUrl":"https://doi.org/10.1177/18333583251338406","url":null,"abstract":"<p><strong>Background: </strong>Existing research has long established that direct exposure to patient trauma, such as severe injuries, chronic illnesses and end-of-life care, places clinical healthcare workers at heightened risk of secondary traumatic stress, compassion fatigue and burnout. However, comparatively little attention has been paid to the impact on non-clinical healthcare personnel, such as health information managers (HIMs) who, despite being removed from direct patient care, regularly handle distressing and sensitive patient information.</p><p><strong>Objective: </strong>This scoping review explores the literature concerning non-clinical healthcare professionals and the potential impact upon their biopsychosocial-spiritual (BPSS) well-being given prolonged exposure to medical and/or patient records.</p><p><strong>Method: </strong>Arksey and O'Malley's five-stage scoping review strategy was utilised. An initial search of the literature yielded no results specific to HIMs and other non-clinical healthcare professionals. Therefore, the scope of the review was broadened, and a second search of the literature was conducted to explore comparable non-patient/client-facing populations such as transcriptionists.</p><p><strong>Results: </strong>In total 1226 articles were initially identified and 13 articles revealed either a biological, psychological, social and/or spiritual impact when professionals were exposed to traumatic and/or sensitive data.</p><p><strong>Conclusion: </strong>Exploring the roles of comparable non-patient/client-facing populations provides insight into the potential impact that exposure to traumatic and/or sensitive information may have on the health and well-being of HIMs and other non-clinical health professionals.Implications for health information management practice:Further research is recommended to explore the potential BPSS impact that HIMs and other non-clinical health professionals experience due to the exposure of traumatic and/or sensitive information.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251338406"},"PeriodicalIF":0.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136340","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":"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":"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":"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}