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

{"title":"Patient online access to general practice medical records: A qualitative study on patients' needs and expectations.","authors":"Rosa Rlc Thielmann, Ciska Hoving, Esther Schutgens-Kok, Jochen Wl Cals, Rik Crutzen","doi":"10.1177/18333583221144666","DOIUrl":"10.1177/18333583221144666","url":null,"abstract":"<p><strong>Background: </strong>Patient online access to medical records is assumed to foster patient empowerment and advance patient-centred healthcare. Since July 2020, patients in the Netherlands have been legally entitled to electronically access their medical record in general practice. Experience from pioneering countries has shown that despite high patient interest, user rates often remain low. How to best support implementation depends on individual needs and expectations of patient populations, which are as yet unknown in the Dutch context.</p><p><strong>Objective: </strong>To understand Dutch patients' needs and expectations with regard to online access to their medical record in general practice.</p><p><strong>Method: </strong>Twenty participants completed semi-structured individual interviews via video or telephone call. Transcripts of interviews underwent template analysis combining deductive and inductive coding using Atlas.ti software.</p><p><strong>Results: </strong>Patients' needs and expectations ranged across three overlapping areas: (i) prerequisites for getting online access; (ii) using online access; and (iii) the impact on interaction with healthcare providers. Patients expected benefits from online access such as better overview, empowerment and improved communication with their general practitioner but identified needs regarding technological difficulties, data privacy and complex medical language in their record.</p><p><strong>Conclusion: </strong>The concerns and obstacles participants identified point towards the need for organisational changes in general practice, for example, adjusted documentation practices, and the key role of the general practitioner and staff in promoting and facilitating online access.</p><p><strong>Implications: </strong>Implementation strategies addressing needs identified in this study may help to unlock the full potential of online access to achieve desired outcomes of patient involvement and satisfaction.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"166-173"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11401335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9108993","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":"Impact of clinical note format on diagnostic accuracy and efficiency.","authors":"Evita M Payton, Mark L Graber, Vasil Bachiashvili, Tapan Mehta, P Irushi Dissanayake, Eta S Berner","doi":"10.1177/18333583231151979","DOIUrl":"10.1177/18333583231151979","url":null,"abstract":"<p><strong>Background: </strong>Clinician notes are structured in a variety of ways. This research pilot tested an innovative study design and explored the impact of note formats on diagnostic accuracy and documentation review time.</p><p><strong>Objective: </strong>To compare two formats for clinical documentation (narrative format vs. list of findings) on clinician diagnostic accuracy and documentation review time.</p><p><strong>Method: </strong>Participants diagnosed written clinical cases, half in narrative format, and half in list format. Diagnostic accuracy (defined as including correct case diagnosis among top three diagnoses) and time spent processing the case scenario were measured for each format. Generalised linear mixed regression models and bias-corrected bootstrap percentile confidence intervals for mean paired differences were used to analyse the primary research questions.</p><p><strong>Results: </strong>Odds of correctly diagnosing list format notes were 26% greater than with narrative notes. However, there is insufficient evidence that this difference is significant (75% CI 0.8-1.99). On average the list format notes required 85.6 more seconds to process and arrive at a diagnosis compared to narrative notes (95% CI -162.3, -2.77). Of cases where participants included the correct diagnosis, on average the list format notes required 94.17 more seconds compared to narrative notes (75% CI -195.9, -8.83).</p><p><strong>Conclusion: </strong>This study offers note format considerations for those interested in improving clinical documentation and suggests directions for future research. Balancing the priority of clinician preference with value of structured data may be necessary.</p><p><strong>Implications: </strong>This study provides a method and suggestive results for further investigation in usability of electronic documentation formats.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"183-188"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9394058","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 holistic view of facilitators and barriers of electronic health records usage from different perspectives: A qualitative content analysis approach.","authors":"Anna Griesser, Sonja Bidmon","doi":"10.1177/18333583231178611","DOIUrl":"10.1177/18333583231178611","url":null,"abstract":"<p><strong>Background: </strong>Electronic health records (EHR) are seen as a promising endeavour, in spite of policies, designs, user rights and types of health data varying across countries. In many European countries, including Austria, EHR usage has fallen short when compared to the deployment plans.</p><p><strong>Objective: </strong>By adopting a qualitative approach, this research aimed to explore facilitators and barriers experienced by patients and physicians across the entire EHR usage process in Austria.</p><p><strong>Method: </strong>Two studies were conducted: In Study 1, discussions were held with four homogeneously composed groups of patients (<i>N</i> = 30). In Study 2, eight expert semi-structured interviews were conducted with physicians to gain insights into potential facilitators and barriers Austrian physicians face when utilising personal EHR.</p><p><strong>Results: </strong>A wide range of barriers and facilitators were identified along the entire EHR usage spectrum, emerging on three different levels: the micro-level (individual level), the meso-level (level of the EHR system) and the macro-level (level of the health system). EHR literacy was identified as a booster to support EHR adherence. Health providers were identified as crucial gatekeepers with regard to EHR usage.</p><p><strong>Conclusion: </strong>The implications for mutual benefits arising out of EHR usage among the triad of health policymakers, providers and patients for both theory and practice are discussed.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"227-236"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11401338/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9760030","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":"Digital health care and data work: Who are the data professionals?","authors":"Claus Bossen, Pernille Scholdan Bertelsen","doi":"10.1177/18333583231183083","DOIUrl":"10.1177/18333583231183083","url":null,"abstract":"<p><strong>Background: </strong>This article reports on a study that investigated data professionals in health care. The topic is interesting and relevant because of the ongoing trend towards digitisation of the healthcare domain and efforts for it to become data driven, which entail a wide variety of work with data.</p><p><strong>Objective: </strong>Despite an interest in data science and more broadly in data work, we know surprisingly little about the people who work with data in healthcare. Therefore, we investigated data work at a large national healthcare data organisation in Denmark.</p><p><strong>Method: </strong>An explorative mixed method approach combining a non-probability technique for design of an open survey with a target population of 300+ and 11 semi-structured interviews, was applied.</p><p><strong>Results: </strong>We report findings relevant to educational background, work identity, work tasks, and how staff acquired competences and knowledge, as well as what these attributes comprised. We found recurring themes of healthcare knowledge, data analytical skills, and information technology, reflected in education, competences and knowledge. However, there was considerable variation within and beyond those themes, and indeed most competences were learned \"on the job\" rather than as part of formal education.</p><p><strong>Conclusion: </strong><i>Becoming</i> a professional working with data in health care can be the result of different career paths. The most recurring work identity was that of \"data analyst\"; however, a wide variety of responses indicated that a stable data worker identity has not yet developed.</p><p><strong>Implications: </strong>The findings present implications for educational policy makers and healthcare managers.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"243-251"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9870582","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 importance of SNOMED CT concept specificity in healthcare analytics.","authors":"Luke Roberts, Sadie Lanes, Oliver Peatman, Phil Assheton","doi":"10.1177/18333583221144662","DOIUrl":"10.1177/18333583221144662","url":null,"abstract":"<p><strong>Background: </strong>Healthcare data frequently lack the specificity level needed to achieve clinical and operational objectives such as optimising bed management. Pneumonia is a disease of importance as it accounts for more bed days than any other lung disease and has a varied aetiology. The condition has a range of SNOMED CT concepts with different levels of specificity.</p><p><strong>Objective: </strong>This study aimed to quantify the importance of the specificity of an SNOMED CT concept, against well-established predictors, for forecasting length of stay for pneumonia patients.</p><p><strong>Method: </strong>A retrospective data analysis was conducted of pneumonia admissions to a tertiary hospital between 2011 and 2021. For inclusion, the primary diagnosis was a subtype of bacterial or viral pneumonia, as identified by SNOMED CT concepts. Three linear mixed models were constructed. Model One included known predictors of length of stay. Model Two included the predictors in Model One and SNOMED CT concepts of lower specificity. Model Three included the Model Two predictors and the concepts with higher specificity. Model performances were compared.</p><p><strong>Results: </strong>Sex, ethnicity, deprivation rank and Charlson Comorbidity Index scores (age-adjusted) were meaningful predictors of length of stay in all models. Inclusion of lower specificity SNOMED CT concepts did not significantly improve performance (ΔR² = 0.41%, <i>p</i> = .058). SNOMED CT concepts with higher specificity explained more variance than each of the individual predictors (ΔR² = 4.31%, <i>p</i> < .001).</p><p><strong>Conclusion: </strong>SNOMED CT concepts with higher specificity explained more variance in length of stay than a range of well-studied predictors.</p><p><strong>Implications: </strong>Accurate and specific clinical documentation using SNOMED CT can improve predictive modelling and the generation of actionable insights. Resources should be dedicated to optimising and assuring clinical documentation quality at the point of recording.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"157-165"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9103819","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":"Alpha NSW: What would it take to create a state-wide paediatric population-level learning health system?","authors":"Michael Hodgins, Nora Samir, Susan Woolfenden, Nan Hu, Francisco Schneuer, Natasha Nassar, Raghu Lingam","doi":"10.1177/18333583231176597","DOIUrl":"10.1177/18333583231176597","url":null,"abstract":"<p><strong>Background: </strong>The health and well-being of children in the first 2000 days has a lasting effect on educational achievement and long-term chronic disease in later life. However, the lack of integration between high-quality data, analytic capacity and timely health improvement initiatives means practitioners, service leaders and policymakers cannot use data effectively to plan and evaluate early intervention services and monitor high-level health outcomes.</p><p><strong>Objective: </strong>Our exploratory study aimed to develop an in-depth understanding of the system and clinical requirements of a state-wide paediatric learning health system (LHS) that uses routinely collected data to not only identify where the inequities and variation in care are, but also to also inform service development and delivery where it is needed most.</p><p><strong>Method: </strong>Our approach included reviewing exemplars of how administrative data are used in Australia; consulting with clinical, policy and data stakeholders to determine their needs for a child health LHS; mapping the existing data points collected across the first 2000 days of a child's life and geospatially locating patterns of key indicators for child health needs.</p><p><strong>Results: </strong>Our study identified the indicators that are available and accessible to inform service delivery and demonstrated the potential of using routinely collected administrative data to identify the gap between health needs and service availability.</p><p><strong>Conclusion: </strong>We recommend improving data collection, accessibility and integration to establish a state-wide LHS, whereby there is a streamlined process for data cleaning, analysis and visualisation to help identify populations in need in a timely manner.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"217-226"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11401336/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9815339","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":"For-profit versus non-profit cybersecurity posture: breach types and locations in healthcare organisations.","authors":"Martin Ignatovski","doi":"10.1177/18333583231158886","DOIUrl":"10.1177/18333583231158886","url":null,"abstract":"<p><strong>Background: </strong>The implementation of emerging technologies has resulted in an increase of data breaches in healthcare organisations, especially during the COVID-19 pandemic. Health information and cybersecurity managers need to understand if, and to what extent, breach types and locations are associated with their organisation's business type.</p><p><strong>Objective: </strong>To investigate if breach type and breach location are associated with business type, and if so, investigate how these factors affect information systems and protected health information in for-profit versus non-profit organisations.</p><p><strong>Method: </strong>The quantitative study was performed using chi-square tests for association and post-hoc comparison of column proportions analysis on an archival data set of reported healthcare data breaches from 2020 to 2022. Data from the Department of Health and Human Services website was retrieved and each organisation classified as for-profit or non-profit.</p><p><strong>Results: </strong>For-profit organisations experienced a significantly higher number of breaches due to theft, and non-profit organisations experienced a significantly higher number of breaches due to unauthorised access. Furthermore, the number of breaches that occurred on laptops and paper/films was significantly higher in for-profit organisations.</p><p><strong>Conclusion: </strong>While the threat level of hacking techniques is the same in for-profit and non-profit organisations, certain breach types are more likely to occur within specific breach locations based on the organisation's business type. To protect the privacy and security of medical information, health information and cybersecurity managers need to align with industry-leading frameworks and controls to prevent specific breach types that occur in specific locations within their environments.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"198-205"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9320512","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":"Enhancing nursing home quality through electronic health record implementation.","authors":"Rohit Pradhan, Neeraj Dayama, Michael Morris, Kimberly Elliott, Holly Felix","doi":"10.1177/18333583241274010","DOIUrl":"https://doi.org/10.1177/18333583241274010","url":null,"abstract":"<p><p><b>Background:</b> The quality of care in nursing homes (NHs) in the United States has long been a matter of policy concern. Although electronic health records (EHRs) are argued to improve quality, implementation has lagged due to various factors such as financial constraints and limited research on their impact on NH quality. <b>Objective:</b> This study examined the relationship between EHR implementation and NH quality using Donabedian's structure-process-outcome model. <b>Method:</b> Data on EHR implementation were collected via a 2018 survey of all Federally certified Arkansas NHs (<i>n</i> = 223). Of the 63 responding NHs, 48 reported EHR implementation. Survey data were merged with secondary sources such as Certification and Survey Provider Enhanced Reporting. A total of 744 NH-years for the period 2008-2020 were included in the final sample. A pre-post negative binomial panel data regression was used to examine the relationship between EHR implementation (dichotomous variable) and NH deficiencies (dependent count variable) with facility/community-level control variables. Results were reported as incidence rate ratios (IRR). <b>Results:</b> NHs that had implemented EHR experienced an 18% reduction in the rate of deficiencies compared to those without EHR systems (IRR = 0.82, 95% CI [0.70, 0.99], <i>p</i> = 0.035). <b>Conclusion:</b> EHR implementation had a favourable impact on NH quality. <b>Implications:</b> Past research suggests that higher NH quality may be associated with improved financial performance. Therefore, EHR implementation has the potential to address two critical challenges: enhancing care quality and improving financial outcomes. However, government financial incentives may be necessary to address the high-cost of implementing EHR systems.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241274010"},"PeriodicalIF":0.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057485","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}