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

{"title":"Automated data collection in cancer care: State of play among registries in the United Kingdom and Europe.","authors":"Manuela Roman, Stephen Ali, Nader Ibrahim, Thomas D Dobbs, Hayley Hutchings, Iain S Whitaker","doi":"10.1177/18333583251378962","DOIUrl":"https://doi.org/10.1177/18333583251378962","url":null,"abstract":"<p><strong>Background: </strong>Automated clinical coding can use statistical or artificial intelligence-based technology to transform unstructured clinical data into clinical codes. These processes have the potential to enhance the quality and accuracy of data collections, save resources and accelerate research.</p><p><strong>Objective: </strong>To evaluate the use of automated clinical coding in the United Kingdom (UK) and European cancer registries.</p><p><strong>Method: </strong>An online electronic survey was formulated to evaluate the use and user opinion of automation within cancer registries. The survey was distributed to members of the United Kingdom and Ireland Association of Cancer Registry and the European cancer registries. Data analysis was performed using Microsoft Excel 2015^® version 15.13.3 in order to summarise the results.</p><p><strong>Results: </strong>Twenty-three of the 117 cancer registries responded to the distributed survey; 15 (12.8%) cancer registries used automation within their registry, mainly in the form of natural language processing or machine learning. Most of the sampled registries (73.3%) used these technologies to automate data collection from pathology reports; 87% of respondents reported automation as efficient; and 26.1% reported improved data quality; 12 (52.1%) of cancer registries still manually checked all the automations; and 17 (74%) respondents believed that the algorithms for difficult tasks require further development.</p><p><strong>Conclusion: </strong>Various computer-based algorithms have been used for automated clinical coding in the UK and European cancer registries in the past few decades; however, to date there are no published data to validate its use. Further research and development of these technologies is needed to ensure external validity and maximise the potential use within other cancer registries globally.Implications for health information management practice:It is clear that while automation can be advantageous in areas of clinical coding, the role of the \"human\" (HIMs and clinical coders) in coding and classifying registry data, and in overseeing the transition, will be required for some time yet.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251378962"},"PeriodicalIF":1.8,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240427","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":"Satisfaction and usability of e-referral among physicians and health information management technicians in Muscat Governorate, Oman.","authors":"Omar Al Farsi, Raniya Al Kiyumi, Abdulrahim Al-Shehi, Asad Al Hadi","doi":"10.1177/18333583251378083","DOIUrl":"https://doi.org/10.1177/18333583251378083","url":null,"abstract":"<p><strong>Background: </strong>Effective communication is crucial in health care, and the referral process is central to ensuring smooth patient transitions between providers. To enhance this process, electronic referral (e-referral) systems have been designed, aiming to improve efficiency, accuracy and accessibility. However, despite their widespread implementation, limited research has been conducted on the usability of these systems and the satisfaction levels among healthcare professionals.</p><p><strong>Objectives: </strong>This study aimed to assess the usability of e-referral systems, measure user satisfaction and identify any challenges faced by healthcare professionals in the public healthcare sector, focusing specifically on physicians and health information management (HIM) technicians in Oman.</p><p><strong>Method: </strong>A cross-sectional study was conducted by using a self-administered online survey among physicians and HIM technicians in Muscat Governorate. A sample size of 243 participants was selected through convenience sampling techniques. Closed-ended questions assessed usability, satisfaction and challenges related to the e-referral system.</p><p><strong>Results: </strong>The study found a moderate level of familiarity with the Ministry of Health's referral guidelines, with 70.3% of participants reporting moderate familiarity. Regarding the e-referral system's usability, 45.3% of users expressed a neutral perception. Satisfaction levels varied across system features: 46.1% of participants were satisfied with the interface and design, while 38.3% reported satisfaction with navigation. Satisfaction with technical support also differed between groups, with 48.0% of physicians satisfied compared to 31.7% of HIM technicians.</p><p><strong>Conclusion: </strong>This study expands current knowledge on e-referral systems by shedding light on their usability, satisfaction levels of users, and challenges encountered within the public healthcare system in Oman. Results underscore the necessity for tailored strategies to improve system functionality and enhance user experience, paving the way for more efficient healthcare processes.Implications for health information management practice:The study underscores the critical role of physicians and HIM technicians in optimising the functionality and usability of e-referral systems. Given these findings, various targeted interventions such as enhanced training programs and increased stakeholder engagement in system design are essential. These measures could improve system adoption, streamline referral workflows and ultimately contribute to more efficient and coordinated patient care within Oman's public healthcare sector.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251378083"},"PeriodicalIF":1.8,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194046","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":"Health information managers' engagement in continuing professional development.","authors":"Abbey Nexhip, Merilyn Riley, Kerin Robinson","doi":"10.1177/18333583251378960","DOIUrl":"https://doi.org/10.1177/18333583251378960","url":null,"abstract":"<p><strong>Background: </strong>Continuing professional development (CPD) involves ongoing learning to maintain and enhance professional competence. CPD for health information managers (HIMs) is embodied in the Health Information Management Association of Australia's (HIMAA) Professional Competency Standards. The CPD engagement of Australia's HIMs has not been explored.</p><p><strong>Objective: </strong>To examine HIMs' engagement with professional body-initiated CPD, and the associated enablers and barriers.</p><p><strong>Method: </strong>A cross-sectional survey was administered to 72 Victorian graduate HIMs from four cohorts: 1985, 1995, 2005 and 2015. It elicited their perceptions of CPD and engagement with HIMAA events and activities.</p><p><strong>Results: </strong>When asked if engaging in CPD was important: 70.8% agreed; 9.7% disagreed; 19.4% were unsure. Motivations for engagement were networking, continuous learning and skill development and gaining insights from the work of others. Barriers to participation included movement outside of HIM roles, lack of time or interest and perceived irrelevance. The most common activities were special interest/working group(s) (27.8%) and other (sub)committees (18.1%). Seventy-two percent had attended an (inter)national conference or seminar/webinar. Notably, 57% had not participated in any HIMAA-related activities.</p><p><strong>Discussion: </strong>HIMs must continually build their knowledgebase and skills to align with the evolving health information ecosystem. A large proportion of participants acknowledged the importance of CPD; however, of concern, are the 29.1% who disagreed or were unsure, and the 57% who did not participate in any professional body-initiated CPD activities.</p><p><strong>Conclusion: </strong>There is room to strengthen HIMs' engagement with CPD to ensure their commitment to career-centred lifelong learning, maintain professional competence by meeting a core competency outlined in the Professional Competency Standards and contribute to the continuing development of the profession.Implications for health information management practice:HIMAA should continue to diversify CPD content and formats to sustain and further enhance engagement, to ensure HIMs remain competent, and responsive to the changing health information environment.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251378960"},"PeriodicalIF":1.8,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187751","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":"BORN to be validated: Assessing agreement between Ontario's birth registry and CIHI-DAD.","authors":"Tavleen Dhinsa, Nicole F Roberts, Qun Miao, Carolina Lavin Venegas, Catherine Ménard, Kaamel Hafizi, Ann E Sprague","doi":"10.1177/18333583251375127","DOIUrl":"https://doi.org/10.1177/18333583251375127","url":null,"abstract":"<p><strong>Background: </strong>The Better Outcomes Registry and Network Ontario Information System (BIS) has captured data on births in Ontario since 2012. Data and information quality is a foundational pillar of Ontario's birth registry.</p><p><strong>Objective: </strong>To evaluate data quality and reliability, we compared birth data in the BIS with like data elements in the Canadian Institute for Health Information-Discharge-Abstract-Database (CIHI-DAD) which captures administrative, clinical, and demographic data on all hospital discharges.</p><p><strong>Methods: </strong>We used unique pregnancy identifiers to deterministically link maternal records in the BIS to the CIHI-DAD in the fiscal years 2016-2017 to 2020-2021. Percent agreement and Cohen Kappa Coefficients (simple or weighted) with 95% confidence intervals (CI) assessed agreement on selected elements in both databases. Sensitivity analyses explored the impact of the COVID-19 pandemic on data entry and quality processes.</p><p><strong>Results: </strong>There was excellent percentage agreement (⩾90%) between the two databases for all maternal elements assessed. Fourteen out of the twenty elements assessed indicated substantial (κ = 0.61-0.80) or almost perfect agreement (κ = 0.81-0.99) on Kappa tests. Sensitivity analyses restricting the linked cohort to data entered before (2016/2017-2019/2020) and during (2020/2021) the COVID-19 pandemic demonstrated no significant changes in agreement across all elements.</p><p><strong>Conclusion: </strong>Overall, the BIS and CIHI-DAD databases had high agreement on most maternal data elements; however, further examination is necessary to explore discrepancies identified.Implications for health information management practice:As the BIS is newer than the CIHI-DAD and uses a different method of data abstraction, routinely evaluating and enhancing data quality is crucial for providing accurate and valid evidence for health policy, surveillance, and research.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251375127"},"PeriodicalIF":1.8,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145180669","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":"Health information manager competency standards and their application to final-year, work-integrated learning (professional practice) project descriptions and learning outcomes.","authors":"Abbey Nexhip, Kerin Robinson, Natasha Prasad, Merilyn Riley","doi":"10.1177/18333583251371255","DOIUrl":"https://doi.org/10.1177/18333583251371255","url":null,"abstract":"<p><strong>Background: </strong>Professional practice placements (work-integrated learning (WIL)) enable practical application of essential knowledge and skills, from the health information management university curricula, aligned to profession entry-level competencies.</p><p><strong>Objectives: </strong>To (1) identify formal (explicit learning outcomes (ELOs)) and informal (derived learning outcomes (DLOs)) articulated in final-year, health information management WIL proposals, 2012-2021, at Australia's La Trobe University; and (2) map these to the contemporaneous, national Health Information Manager (HIM) profession entry-level competency (sub-)domains.</p><p><strong>Method: </strong>A random sample (20%; <i>n</i> = 129) of 2012-2021 final-year placement proposals was interrogated using documentary analysis. ELOs and DLOs were extracted and categorised to the (sub-)domains of the Health Information Management Association of Australia's (2017) HIM Professional Competency Standards; between-group comparisons were made.</p><p><strong>Results: </strong>Of the 129 proposals: 38 (29.5%) were absent ELOs; one had no project description; almost 74% were project-related. Predominant sub-domains in Domain A, \"Generic professional skills\": communication (in 63.7% of ELOs; 61.2% of DLOs); teamwork (40.7% ELOs; 50.8% DLOs). Predominant sub-domains in the eight profession-specific competency domains: \"Health information services organisation and management\" (Domain I; 60.5% ELOs; 100% DLOs); \"Health information and records management\" (Domain B; 54.9% ELOs; 56.3% DLOs); \"Research methods\" (Domain E; 45.1% ELOs; 44.5% DLOs). ELOs were most commonly aligned to four discipline-specific domains; DLOs were distributed across five.</p><p><strong>Conclusion: </strong>Analysis of the knowledge-skills learning outcomes for final-year, student-HIM placements has generated recommendations to support agency supervisors in framing WIL project proposals.Implications for health information management practice:This research will support more robust WIL to complement student HIMs' academic education for competent, postgraduation practice.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251371255"},"PeriodicalIF":1.8,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103058","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 Australian and New Zealand Massive Transfusion Registry: An innovation focusing on data collection, standardisation and interoperability between healthcare systems.","authors":"Rosemary L Sparrow, Helen E Haysom, Joanna Bao-Ern Loh, Kirsten Caithness, Karthik Mandapaka, Cameron Wellard, Zoe K McQuilten, Erica M Wood","doi":"10.1177/18333583251375121","DOIUrl":"https://doi.org/10.1177/18333583251375121","url":null,"abstract":"<p><strong>Background: </strong>Blood transfusion is a common medical intervention. For patients with acute critical bleeding, large volume \"massive\" transfusion (MT) is required, and is potentially life-saving. However, the evidence-base for transfusion practice, particularly for critical bleeding/MT management, is relatively weak, and has confounded the development of clinical best practice recommendations.</p><p><strong>Aim: </strong>The aim was to address this evidence gap by building the Australian and New Zealand Massive Transfusion Registry (ANZ-MTR). We describe how data collection, standardisation and interoperability of data sourced from multiple electronic information systems are managed, and share the lessons learned.</p><p><strong>Innovation: </strong>The ANZ-MTR is a database of routine electronic hospital admission information, laboratory test results, transfusion records and outcomes of adults (18 years and older) who have received a MT for any cause of acute critical bleeding, including trauma, major surgery, obstetric or gastrointestinal haemorrhage. Source data are provided by participating hospitals and are harmonised by the registry. Since its launch in 2011, the ANZ-MTR has captured over 9200 MT episodes from 29 hospitals.What can be learned from this case:Effective communication with all custodians of the source data has been fundamental to the success of the registry. A preeminent outcome of this success is the current expansion of the registry to become the National Transfusion Dataset, which will capture comprehensive data for all transfusions.Implications for health information management practice:The ANZ-MTR illustrates that complex and varied arrays of routinely collected clinical and hospital administrative data from multiple electronic information systems can be consolidated into a resource-rich clinical database.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251375121"},"PeriodicalIF":1.8,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082407","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":"Evaluating the use of new and advanced technologies in a population-based cancer registry.","authors":"Brooke Stapleton, Sheena Lawrance, Penny Perry, Barbara Daveson, David Roder, Shelley Rushton, Tracey O'Brien","doi":"10.1177/18333583251370057","DOIUrl":"https://doi.org/10.1177/18333583251370057","url":null,"abstract":"<p><strong>Background: </strong>Cancer is typically a notifiable disease, with notifications captured in population-based cancer registries (PBCR) to inform public health cancer control. Despite the importance of PBCRs, a knowledge gap exists regarding the impact of novel and advanced data engineering technologies on PBCR health information, data quality and utility.</p><p><strong>Objective: </strong>To examine the impact of electronic reporting, machine learning and automation on PBCR data quality and utility.</p><p><strong>Method: </strong>A mixed-methods, participatory, performance story evaluation was conducted in 2022 to examine data quality (completeness, coverage, timeliness and efficiency) and utility (real-time dashboards and research) of health information collected between 2012 and 2021 by the New South Wales Cancer Registry (NSWCR), a PBCR in New South Wales, Australia.</p><p><strong>Results: </strong>A two-fold increase in cancer notifications was observed between 2012 and 2021 (<i>n</i> = +171,841; 103% increase). Electronic data receipt increased by 63-percentage points between 2015 and 2021 (12% to 75%), and the number of services that provided electronic data also increased during this time. Timeliness of data receipt improved between 2012 and 2021, with 87% (<i>n</i> = 293,544) received on time in 2021. Manual requests, data extraction and processing times decreased from 4791 to 483 requests (2012-2021) and 921 to 63 days (2017-2021). Utility was enhanced, as supported by collaboration. Greater confidence in population-level quality improvement initiatives was reported, and an increase in research activity and functionality observed.</p><p><strong>Conclusion: </strong>Electronic reporting, machine learning and automation can improve data quality, utility and cancer control capability, with collaboration remaining essential.Implications for health information management practice:Innovative technologies and collaboration can improve PBCRs and strengthen health care, policy, research and health system capability.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251370057"},"PeriodicalIF":1.8,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145071354","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":"Concordance between ICD-10-AM clinical coding and SARS-CoV-2 PCR testing for COVID-19 in Australian hospitals.","authors":"Getiye Dejenu Kibret, Judith Thomas, Jeffrey J Post, Kate Curtis, William Rawlinson, Andrew Georgiou, Mirela Prgomet","doi":"10.1177/18333583251370486","DOIUrl":"https://doi.org/10.1177/18333583251370486","url":null,"abstract":"<p><strong>Background: </strong>The introduction by the World Health Organization of specific International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) clinical codes for coronavirus disease 2019 (COVID-19) in early 2020 was key to standardising disease reporting and supporting global public health efforts. However, the concordance between these clinical codes and laboratory-confirmed COVID-19 cases based on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) results remains largely unexamined in Australia.</p><p><strong>Objective: </strong>This study evaluated the concordance between ICD-10 Australian Modification (ICD-10-AM) code U07.1 (COVID-19, virus identified) and SARS-CoV-2 PCR test results in admitted patient records, to improve case identification.</p><p><strong>Method: </strong>This retrospective study analysed routinely collected electronic medical record data from 13 public hospitals in New South Wales, Australia. Clinical coding of ICD-10-AM U07.1 was assessed using SARS-CoV-2 PCR results as the reference standard. Sensitivity, specificity, positive predictive value and negative predictive value were calculated. A mixed-effects logistic regression model was used to assess diagnostic concordance, adjusting for patient demographics.</p><p><strong>Results: </strong>Among 25,724 admissions with a SARS-CoV-2 PCR test, 39.4% were confirmed COVID-19 cases based on positive SARS-CoV-2 PCR test results. The ICD-10-AM clinical coding of U07.1 demonstrated excellent accuracy, with a sensitivity of 91.5% (95% CI: 90.8-92.2%) and 94.1% (95% CI: 93.6-94.6%) compared to conventional and rapid PCR-confirmed cases, respectively.</p><p><strong>Conclusion: </strong>The ICD-10-AM code U07.1 aligns well with SARS-CoV-2 PCR-confirmed cases, supporting its use as a reliable marker for COVID-19 in hospital data for surveillance and research purposes.Implications for health information management practice:Ongoing improvements in clinical coding practices are necessary to minimise misclassification and enhance accuracy for public health planning.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251370486"},"PeriodicalIF":1.8,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145041829","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":"Localisation of an assessment tool for disease registry software.","authors":"Sakineh Saghaeiannejad Isfahani, Monireh Sadeqi Jabali, Saeedeh Sedaghat, Reza Jalali, Hossein Bagherian","doi":"10.1177/18333583251362536","DOIUrl":"https://doi.org/10.1177/18333583251362536","url":null,"abstract":"<p><strong>Background: </strong>The success of disease registry systems (DRSs) depends on developing software that aligns with the registry's specific needs.</p><p><strong>Objective: </strong>This study focuses on localising the Checklist with Items for Patient Registry sOftware Systems (CIPROS) to facilitate the DRS assessment.</p><p><strong>Method: </strong>This applied and cross-sectional study was carried out in 2023 in six phases. The first phase involved translating the CIPROS checklist. In the second phase, experts validated the face validity of the checklist. The third phase focused on calculating the content validity ratio (CVR) and content validity index (CVI) for each item. In the fourth phase, the items removed earlier were reassessed. In the fifth phase, definitions for each item were proposed. The sixth phase encompassed calculating the reliability of the localised checklist. For the data analysis, descriptive statistics were computed using SPSS software.</p><p><strong>Results: </strong>The original checklist included 12 aspects and 72 items. After evaluating the CVR and CVI indicators, 40 items were validated. By reassessing the deleted items, the localised checklist was created, composed of 56 items categorised into 11 aspects.</p><p><strong>Conclusion: </strong>The localised tool would support the authorities responsible for DRSs when making software purchasing decisions. Additionally, it would be advantageous for policymakers by helping them establish the criteria for DRS assessment.Implications for health information management practice:Localising the registry assessment tool will facilitate its use; providing descriptions of assessment tool items leads to a uniform understanding and ease of use of the tool.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251362536"},"PeriodicalIF":1.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031218","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":"ICD-11 \"by the people for the people\": The open feedback proposal platform.","authors":"Islam Ibrahim, Danielle A Southern, Meng Zhang, Brooke Macpherson, Carine Alsokhn, Eva Krpelanova, Nenad Kostanjsek, Robert Jakob","doi":"10.1177/18333583251366915","DOIUrl":"https://doi.org/10.1177/18333583251366915","url":null,"abstract":"<p><strong>Background: </strong>ICD-11's digital architecture and granularity distinguish it from previous revisions and expand its applicability beyond mortality statistics and public health. The official ICD-11 version is updated annually. However, a separate online Maintenance Platform is continuously updated and hosts the Proposal Platform: a novel online tool that enables interested parties from all over the world to contribute to ICD-11 content. Anyone can register on the Platform to propose updates, such as adding new medical terms or improving existing descriptions, helping keep the classification relevant and inclusive. As a public, transparent system, users can view or comment on other users' proposals. Proposals are carefully reviewed by expert WHO committees through a transparent, multi-step process that ensures scientific accuracy and consistency. High-priority updates, like emerging health conditions, can be fast-tracked for quicker inclusion. Once a proposal is accepted, it becomes effective in the following update. A clear justification is provided for rejected proposals. Since ICD-11 came into effect, most suggestions from users have been successfully implemented.</p><p><strong>Objective: </strong>This article describes the proposal submission process, the rigorous proposal review process, and the roles of the WHO reference groups and committees involved.</p><p><strong>Conclusion: </strong>ICD-11 is a free, digital global health classification that anyone can help improve by submitting proposals through an open, transparent platform.Implications for health information management practice:This inclusive system empowers users worldwide to shape ICD-11 to reflect the evolving real-world medical and public health practice and emerging needs. This also prevents the need for country-specific modifications, ultimately improving the comparability of clinical data at the international level.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251366915"},"PeriodicalIF":1.8,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024869","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}