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

{"title":"Enhancing the quality of medicine handover at hospital discharge: a priority setting workshop.","authors":"H Laetitia Hattingh, Kate Johnston, Matt Percival, Carl de Wet, Salim Memon, Rachael Raleigh, Mark A Morgan, Noela Baglot, Brigid M Gillespie","doi":"10.1177/18333583241269025","DOIUrl":"https://doi.org/10.1177/18333583241269025","url":null,"abstract":"<p><strong>Background: </strong>When a patient is discharged from hospital it is essential that their general practitioner (GPs) and community pharmacist are informed of changes to their medicines. This necessitates effective communication and information-sharing between hospitals and primary care clinicians.</p><p><strong>Objective: </strong>To identify priority medicine handover issues and solutions to inform the co-design and development of a multifaceted intervention.</p><p><strong>Method: </strong>A modified nominal group technique was used to reach consensus on medicine handover priority areas. The first hour of an interactive 2-hr workshop focused on ranking pre-identified issues drawn from literature. In the second hour, participants identified solutions that they then ranked from highest to lowest priority through an online platform. Descriptive statistics were used to analyse workshop data.</p><p><strong>Results: </strong>In total 32 participants attended the workshop including hospital doctors (<i>n</i> = 8, 25.0%), GPs and hospital pharmacists (<i>n</i> = 6 each, 18.8%), consumers and community pharmacists (<i>n</i> = 4 each, 12.5%), and both hospital and aged care facility nurses (<i>n</i> = 2 each 6.3%). From the list of 23 issues, the highest ranked issue was <i>high workload and time pressures impacting the discharge process</i> (22/32). From the list of 36 solutions, the participants identified two solutions that were equally ranked highest (12/27 each). They were <i>mandating that patients leave hospital with a discharge summary, including medication reconciliation information</i> and, <i>developing an integrated information technology system where medication summary and notes are accessible for primary, secondary and tertiary health provider</i>.</p><p><strong>Conclusion: </strong>The consensus process highlighted challenges in hospital procedures where potential solutions may be implemented through co-design of a multifaceted intervention to improve medicine handover quality.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241269025"},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141984082","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":"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":"https://doi.org/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":"18333583241269031"},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","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":"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":"https://doi.org/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":"18333583241256048"},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","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":"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":"https://doi.org/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":"18333583241256049"},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141753525","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":"IPPASOS: The first digital forensic information system in Greece.","authors":"Michael Kalochristianakis, Andreas Kontogiannis, Despoina E Flouri, Despoina Nathena, Katerina Kanaki, Elena F Kranioti","doi":"10.1177/18333583221144664","DOIUrl":"10.1177/18333583221144664","url":null,"abstract":"<p><strong>Objective: </strong>This article describes the first digital clinical information system tailored to support the operational needs of a forensic unit in Greece and to maintain its archives.</p><p><strong>Method: </strong>The development of our system was initiated towards the end of 2018, as a close collaboration between the Medical School of the University of Crete and the Forensic Medicine Unit of the University Hospital of Heraklion, Crete, where forensic pathologists assumed active roles during the specification and testing of the system.</p><p><strong>Results: </strong>The final prototype of the system was able to manage the life cycle of any forensic case by allowing users to create new records, assign them to forensic pathologists, upload reports, multimedia and any required files; mark the end of processing, issue certificates or appropriate legal documents, produce reports and generate statistics. For the first 4 years of digitised data (2017-2021), the system recorded 2936 forensic examinations categorised as 106 crime scene investigations, 259 external examinations, 912 autopsies, 102 post-mortem CT examinations, 804 histological examinations, 116 clinical examinations, 12 anthropological examinations and 625 embalmings.</p><p><strong>Conclusion: </strong>This research represents the first systematic effort to record forensic cases through a digital clinical information system in Greece, and to demonstrate its effectiveness, daily usability and vast potential for data extraction and for future research.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"137-144"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9300734","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":"Development, implementation, and evaluation of the Australian Stroke Data Tool (AuSDaT): Comprehensive data capturing for multiple uses.","authors":"Olivia Ryan, Jot Ghuliani, Brenda Grabsch, Kelvin Hill, Geoffrey C Cloud, Sibilah Breen, Monique F Kilkenny, Dominique A Cadilhac","doi":"10.1177/18333583221117184","DOIUrl":"10.1177/18333583221117184","url":null,"abstract":"<p><strong>Background: </strong>Historically, national programs for collecting stroke data in Australia required the use of multiple online tools. Clinicians were required to enter overlapping variables for the same patient in the different databases. From 2013 to 2016, the Australian Stroke Data Tool (AuSDaT) was built as an integrated data management solution.</p><p><strong>Objective: </strong>In this article, we have described the development, implementation, and evaluation phases of establishing the AuSDaT.</p><p><strong>Method: </strong>In the development phase, a governance structure with representatives from different data collection programs was established. Harmonisation of data variables, drawn from six programs used in hospitals for monitoring stroke care, was facilitated through creating a National Stroke Data Dictionary. The implementation phase involved a staged deployment for two national programs over 12 months. The evaluation included an online survey of people who had used the AuSDaT between March 2018 and May 2018.</p><p><strong>Results: </strong>By July 2016, data entered for an individual patient was, for the first time, shared between national programs. Overall, 119/422 users (90% female, 61% aged 30-49 years, 57% nurses) completed the online evaluation survey. The two most positive features reported about the AuSDaT were (i) accessibility of the system (including simultaneous user access), and (ii) the ability to download reports to benchmark local data against peer hospitals or national performance. More than three quarters of respondents (<i>n</i> = 92, 77%) reported overall satisfaction with the data collection tool.</p><p><strong>Conclusion: </strong>The AuSDaT reduces duplication and enables users from different national programs for stroke to enter standardised data into a single system.</p><p><strong>Implications: </strong>This example may assist others who seek to establish a harmonised data management solution for different disease areas where multiple programs of data collection exist. The importance of undertaking continuous evaluation of end-users to identify preferences and aspects of the tool that are not meeting current requirements were illustrated. We also highlighted the opportunities to increase interoperability, utility, and facilitate the exchange of accurate and meaningful data.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"85-93"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40654269","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":"International Classification of Diseases clinical coding training: An international survey.","authors":"Lucia Otero Varela, Chelsea Doktorchik, Natalie Wiebe, Danielle A Southern, Søren Knudsen, Pallavi Mathur, Hude Quan, Cathy A Eastwood","doi":"10.1177/18333583221106509","DOIUrl":"10.1177/18333583221106509","url":null,"abstract":"<p><strong>Background: </strong>The International Classification of Diseases (ICD) is widely used by clinical coders worldwide for clinical coding morbidity data into administrative health databases. Accordingly, hospital data quality largely depends on the coders' skills acquired during ICD training, which varies greatly across countries.</p><p><strong>Objective: </strong>To characterise the current landscape of international ICD clinical coding training.</p><p><strong>Method: </strong>An online questionnaire was created to survey the 194 World Health Organization (WHO) member countries. Questions focused on the training provided to clinical coding professionals. The survey was distributed to potential participants who met specific criteria, and to organisations specialised in the topic, such as WHO Collaborating Centres, to be forwarded to their representatives. Responses were analysed using descriptive statistics.</p><p><strong>Results: </strong>Data from 47 respondents from 26 countries revealed disparities in all inquired topics. However, most participants reported clinical coders as the primary person assigning ICD codes. Although training was available in all countries, some did not mandate training qualifications, and those that did differed in type and duration of training, with college or university degree being most common. Clinical coding certificates most frequently entailed passing a certification exam. Most countries offered continuing training opportunities, and provided a range of support resources for clinical coders.</p><p><strong>Conclusion: </strong>Variability in clinical coder training could affect data collection worldwide, thus potentially hindering international comparability of health data.</p><p><strong>Implications: </strong>These findings could encourage countries to improve their resources and training programs available for clinical coders and will ultimately be valuable to the WHO for the standardisation of ICD training.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"68-75"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11067421/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40595855","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":"Clinical documentation integrity: Its role in health data integrity, patient safety and quality outcomes and its impact on clinical coding and health information management.","authors":"Jenny Davis, Jennie Shepheard","doi":"10.1177/18333583231218029","DOIUrl":"10.1177/18333583231218029","url":null,"abstract":"","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"53-60"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138814659","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":"Individual and contextual factors in the Swedish Nutrition Care Process Terminology implementation.","authors":"Elin Lövestam, Ylva Orrevall, Anne-Marie Boström","doi":"10.1177/18333583221133465","DOIUrl":"10.1177/18333583221133465","url":null,"abstract":"<p><strong>Background: </strong>Standardised terminologies and classification systems play an increasingly important role in the continuous work towards high quality patient care. Currently, a standardised terminology for nutrition care, the Nutrition Care Process (NCP) Terminology (NCPT), is being implemented across the world, with terms for four steps: Nutrition Assessment (NA), Nutrition Diagnosis (ND), Nutrition Intervention (NI) and Nutrition Monitoring and Evaluation (NME).</p><p><strong>Objective: </strong>To explore associations between individual and contextual factors and implementation of a standardised NCPT among Swedish dietitians.</p><p><strong>Method: </strong>A survey was completed by 226 dietitians, focussing on: (a) NCPT implementation level; (b) individual factors; and (c) contextual factors. Associations between these factors were explored through a two-block logistic regression analysis.</p><p><strong>Results: </strong>Contextual factors such as intention from management to implement the NCPT (OR (odds ratio) ND 15.0, 95% Confidence Interval (CI) 3.9-57.4, NME 3.7, 95% CI 1.1-13.0) and electronic health record (EHR) headings from the NCPT (OR NI 3.6, 95% CI 1.4-10.7, NME 3.8, 95% CI 1.1-11.5) were associated with higher implementation. A positive attitude towards the NCPT (model 1 OR ND 3.8, 95% CI 1.5-9.8, model 2 OR ND 5.0, 95% CI 1.4-17.8) was also associated with higher implementation, while other individual factors showed less association.</p><p><strong>Conclusion: </strong>Contextual factors such as intention from management, EHR structure, and pre-defined terms and headings are key to implementation of a standardised terminology for nutrition and dietetic care.</p><p><strong>Implications for practice: </strong>Clinical leadership and technological solutions should be considered key areas in future NCPT implementation strategies.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"94-103"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11067422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40338329","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":"Evaluation of Medical Certification of Cause of Death in Tertiary Cancer Hospitals in Northern India.","authors":"Akash Anand, Divya Khanna, Payal Singh, Anuj Singh, Abhishek Pandey, Atul Budukh, Satyajit Pradhan","doi":"10.1177/18333583221144665","DOIUrl":"10.1177/18333583221144665","url":null,"abstract":"<p><strong>Background: </strong>Medical certification of cause of death (MCCD) provides valuable data regarding disease burden in a community and for formulating health policy. Inaccurate MCCDs can significantly impair the precision of national health information.</p><p><strong>Objective: </strong>To evaluate the accuracy of cause of death certificates prepared at two tertiary cancer care hospitals in Northern India during the study period (May 2018 to December 2020).</p><p><strong>Method: </strong>A retrospective observational study at two tertiary cancer care hospitals in Varanasi, India, over a period of two and a half years. Medical records and cause of death certificates of all decedents were examined. Demographic characteristics, administrative details and cause of death data were collected using the WHO recommended death certificates. Accuracy of death certification was validated by electronic medical records and errors were graded.</p><p><strong>Results: </strong>A total of 778 deaths occurred in the two centres during the study period. Of these, only 30 (3.9%) certificates were error-free; 591 (75.9%) certificates had an inappropriate immediate cause of death; 231 (29.7%) certificates had incorrectly labelled modes of death as the immediate cause of death; and 585 (75.2%) certificates had an incorrect underlying cause of death. The majority of certificates were prepared by junior doctors and were significantly associated with higher certification errors.</p><p><strong>Conclusion: </strong>A high rate of errors was identified in death certification at the cancer care hospitals during the study period. Inaccurate MCCDs related to cancers can potentially influence cancer statistics and thereby affect policy making for cancer control.</p><p><strong>Implications: </strong>This study has identified the pressing need for appropriate interventions to improve quality of certification through training of doctors.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"121-128"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9103816","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}