Health information management (HIM) professionals are a vital component of a global network of healthcare specialists who assure quality documentation, data governance, analysis of data, and medical coding of vital healthcare statistics.1 These healthcare professionals make up a globally diverse community2 which demands leaders with globally transferable leadership skills. The goal of this study was to explore the application of Servant Leadership Theory3 to job satisfaction through globally applicable and transferable leadership behavior. A case study approach of semi-structured interviews and blog posting entries were examined through the principles of a global mindset.4. Results of this study are applicable to the community of practicing HIM professionals through the identification and examples of the application of effective and globally transferable leadership behavior.
{"title":"An Exploration of Global Leadership Behavior and Job Satisfaction in Health Information Management.","authors":"Patricia S DeVoy","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Health information management (HIM) professionals are a vital component of a global network of healthcare specialists who assure quality documentation, data governance, analysis of data, and medical coding of vital healthcare statistics.<sup>1</sup> These healthcare professionals make up a globally diverse community<sup>2</sup> which demands leaders with globally transferable leadership skills. The goal of this study was to explore the application of Servant Leadership Theory<sup>3</sup> to job satisfaction through globally applicable and transferable leadership behavior. A case study approach of semi-structured interviews and blog posting entries were examined through the principles of a global mindset.<sup>4.</sup> Results of this study are applicable to the community of practicing HIM professionals through the identification and examples of the application of effective and globally transferable leadership behavior.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120670/pdf/phim0018-0001d.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39016989","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}
Jason C Simeone, Xinyue Liu, Tarun Bhagnani, Matthew W Reynolds, Jenna Collins, Edward A Bortnichak
Purpose: To evaluate whether automated methods are sufficient for deriving ICD-10-CM algorithms by comparing ICD-9-CM to ICD-10-CM crosswalks from general equivalence mappings (GEMs) with physician/clinical coder-derived crosswalks.
Patients and methods: Forward mapping was used to derive ICD-10-CM crosswalks for 10 conditions. As a sensitivity analysis, forward-backward mapping (FBM) was also conducted for three clinical conditions. The physician/coder independently developed crosswalks for the same conditions. Differences between the crosswalks were summarized using the Jaccard similarity coefficient (JSC).
Results: Physician/coder crosswalks were typically far more inclusive than GEMs crosswalks. Crosswalks for peripheral artery disease were most dissimilar (JSC: 0.06), while crosswalks for mild cognitive impairment (JSC: 1) and congestive heart failure (0.85) were most similar. FBM added ICD-10-CM codes for all three conditions but did not consistently increase similarity between crosswalks.
Conclusion: The GEMs and physician/coder algorithms rarely aligned fully; human review is still required for ICD-9-CM to ICD-10-CM crosswalk development.
{"title":"Comparison of ICD-9-CM to ICD-10-CM Crosswalks Derived by Physician and Clinical Coder vs. Automated Methods.","authors":"Jason C Simeone, Xinyue Liu, Tarun Bhagnani, Matthew W Reynolds, Jenna Collins, Edward A Bortnichak","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate whether automated methods are sufficient for deriving ICD-10-CM algorithms by comparing ICD-9-CM to ICD-10-CM crosswalks from general equivalence mappings (GEMs) with physician/clinical coder-derived crosswalks.</p><p><strong>Patients and methods: </strong>Forward mapping was used to derive ICD-10-CM crosswalks for 10 conditions. As a sensitivity analysis, forward-backward mapping (FBM) was also conducted for three clinical conditions. The physician/coder independently developed crosswalks for the same conditions. Differences between the crosswalks were summarized using the Jaccard similarity coefficient (JSC).</p><p><strong>Results: </strong>Physician/coder crosswalks were typically far more inclusive than GEMs crosswalks. Crosswalks for peripheral artery disease were most dissimilar (JSC: 0.06), while crosswalks for mild cognitive impairment (JSC: 1) and congestive heart failure (0.85) were most similar. FBM added ICD-10-CM codes for all three conditions but did not consistently increase similarity between crosswalks.</p><p><strong>Conclusion: </strong>The GEMs and physician/coder algorithms rarely aligned fully; human review is still required for ICD-9-CM to ICD-10-CM crosswalk development.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120674/pdf/phim0018-0001e.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39016991","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}
Charisse R Madlock-Brown, Marcia Y Sharp, Rebecca B Reynolds
This study's objective was to identify the prevalence of the American Health Information Management Association (AHIMA) career map jobs and determine which job categories, degrees, and skills are associated with higher pay. We extracted data from SimplyHired, a major employment website, from December 2018 to December 2019. We retrieved 12,688 career posts. We found differences in average salary by career category (p-value 0.00). Most jobs were in coding and revenue cycle (CRC) and information governance (IG) categories. The highest average salaries were in data analytics (DA) and informatics (IN). Each career category had a unique set of skills associated with the highest paying jobs. Eighty-two percent of CRC, 67 percent of IG, 65 percent of IN, and 83 percent of DA jobs listed in the AHIMA career map were present in the extracted dataset. These results can help employees, academics, and industry leaders understand the health informatics and information management (HIM) workforce landscape.
{"title":"Assessing the Prevalence of Ahima-Identified Health Informatics and Information Management Careers and Related Skills: A Cross-Sectional Study.","authors":"Charisse R Madlock-Brown, Marcia Y Sharp, Rebecca B Reynolds","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This study's objective was to identify the prevalence of the American Health Information Management Association (AHIMA) career map jobs and determine which job categories, degrees, and skills are associated with higher pay. We extracted data from SimplyHired, a major employment website, from December 2018 to December 2019. We retrieved 12,688 career posts. We found differences in average salary by career category (p-value 0.00). Most jobs were in coding and revenue cycle (CRC) and information governance (IG) categories. The highest average salaries were in data analytics (DA) and informatics (IN). Each career category had a unique set of skills associated with the highest paying jobs. Eighty-two percent of CRC, 67 percent of IG, 65 percent of IN, and 83 percent of DA jobs listed in the AHIMA career map were present in the extracted dataset. These results can help employees, academics, and industry leaders understand the health informatics and information management (HIM) workforce landscape.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120672/pdf/phim0018-0001k.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39018384","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}
Lincoln R Sheets, Emmanuelle Wallach, Saif Khairat, Rachel Mutrux, Karen Edison, Mirna Becevic
Telemedicine has traditionally been used in rural areas, but the recent development of mHealth solutions has led to a growth in urban telemedicine services. The aim of this study was to determine whether urban and rural patients in a large academic medical center use telemedicine to access different healthcare specialties at different rates. This retrospective cohort study examined all telemedicine visits dated 2008-2017 at a large academic medical center. Visits were classified by clinical specialty. Teledermatology, child telepsychiatry, and adult telepsychiatry made up 97 percent of telemedicine visits. Rural patients were more likely to have multiple telehealth visits. A significant difference was observed between rural and urban use of telemedicine, both in terms of specialties and demographics. This suggests that health systems should consider adjusting resources and training to meet the different needs of these two populations. In particular, telemedicine may offer help for the nationwide maldistribution of adolescent psychiatry providers.
{"title":"Similarities and Differences Between Rural and Urban Telemedicine Utilization.","authors":"Lincoln R Sheets, Emmanuelle Wallach, Saif Khairat, Rachel Mutrux, Karen Edison, Mirna Becevic","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Telemedicine has traditionally been used in rural areas, but the recent development of mHealth solutions has led to a growth in urban telemedicine services. The aim of this study was to determine whether urban and rural patients in a large academic medical center use telemedicine to access different healthcare specialties at different rates. This retrospective cohort study examined all telemedicine visits dated 2008-2017 at a large academic medical center. Visits were classified by clinical specialty. Teledermatology, child telepsychiatry, and adult telepsychiatry made up 97 percent of telemedicine visits. Rural patients were more likely to have multiple telehealth visits. A significant difference was observed between rural and urban use of telemedicine, both in terms of specialties and demographics. This suggests that health systems should consider adjusting resources and training to meet the different needs of these two populations. In particular, telemedicine may offer help for the nationwide maldistribution of adolescent psychiatry providers.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883358/pdf/phim0018-0001e.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25406997","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}
Nikolay Bugaev, Janis L Breeze, Alyssa M Tutunjian, Horacio M Hojman, Eric J Mahoney, Benjamin P Johnson, Sandra S Arabian
Background: Comparative morbidity after either sternotomy or non-resuscitative thoracotomy in penetrating cardiac injuries (PCI) is unknown.
Methods: Retrospective review of adults with PCI who underwent either sternotomy or non-resuscitative thoracotomy using the National Trauma Data Bank 2007-2015. Since there is no unique International Classification of Diseases Procedure Coding System (ICD-PCS) codes assigned for resuscitative vs. non-resuscitative thoracotomy, and both procedures were coded as "thoracotomy", propensity score (PS) methods were applied to avoid inclusion of resuscitative thoracotomy.
Results: Despite well PS matching on injury severity score the non-thoracotomy group compared to the sternotomy group had a significantly increased risk of mortality (30 percent vs 8 percent, p<0.0001). The morbidity differed as well-25 percent vs. 12 percent, p=0.0007.
Conclusions: The differences in mortality in PCI patients who underwent non-resuscitative thoracotomy vs. sternotomy may be biased by unintentional inclusion of resuscitative thoracotomy. To accurately capture thoracotomy type, separate unique resuscitative and non-resuscitative thoracotomy procedure codes should be created in future revisions of the ICD PCS.
背景:穿透性心脏损伤(PCI)胸骨切开术和非复苏开胸术的比较发病率尚不清楚。方法:回顾性分析2007-2015年国家创伤数据库中胸骨切开术或非复苏开胸术的PCI患者。由于国际疾病分类程序编码系统(ICD-PCS)没有为复苏与非复苏开胸手术分配独特的代码,并且这两种手术都被编码为“开胸”,因此采用倾向评分(PS)方法来避免将复苏开胸手术纳入其中。结果:尽管损伤严重程度评分的PS匹配良好,但与胸骨切开组相比,非开胸术组的死亡率风险显著增加(30% vs 8%)。结论:PCI患者接受非复苏开胸术与胸骨切开术的死亡率差异可能因无意中纳入复苏开胸术而存在偏差。为了准确地捕捉开胸类型,在未来修订的ICD PCS中应创建单独独特的复苏和非复苏开胸程序代码。
{"title":"The Challenges of Using ICD codes to Perform a Comparative Analysis between Patients with Penetrating Cardiac Injuries who Underwent Non-Resuscitative Thoracotomy versus Sternotomy.","authors":"Nikolay Bugaev, Janis L Breeze, Alyssa M Tutunjian, Horacio M Hojman, Eric J Mahoney, Benjamin P Johnson, Sandra S Arabian","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Comparative morbidity after either sternotomy or non-resuscitative thoracotomy in penetrating cardiac injuries (PCI) is unknown.</p><p><strong>Methods: </strong>Retrospective review of adults with PCI who underwent either sternotomy or non-resuscitative thoracotomy using the National Trauma Data Bank 2007-2015. Since there is no unique International Classification of Diseases Procedure Coding System (ICD-PCS) codes assigned for resuscitative vs. non-resuscitative thoracotomy, and both procedures were coded as \"thoracotomy\", propensity score (PS) methods were applied to avoid inclusion of resuscitative thoracotomy.</p><p><strong>Results: </strong>Despite well PS matching on injury severity score the non-thoracotomy group compared to the sternotomy group had a significantly increased risk of mortality (30 percent vs 8 percent, p<0.0001). The morbidity differed as well-25 percent vs. 12 percent, p=0.0007.</p><p><strong>Conclusions: </strong>The differences in mortality in PCI patients who underwent non-resuscitative thoracotomy vs. sternotomy may be biased by unintentional inclusion of resuscitative thoracotomy. To accurately capture thoracotomy type, separate unique resuscitative and non-resuscitative thoracotomy procedure codes should be created in future revisions of the ICD PCS.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883360/pdf/phim0018-0001c.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25406993","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}
The risk factors for stroke, including hypertension, high cholesterol, heart disease, diabetes, heavy alcohol use, and prior history of stroke, are well known. In Mississippi, there is often a wider gulf of socioeconomic disparities between racial groups than in other regions within the United States. This increases the effect of these disparities in minority populations. The goal of this research is to determine whether there is an increased risk of stroke prevalence in the black community than in the white population. The odds ratio of 1.5 (CI 1.3818 - 1.5591) was returned for this analysis. White patients diagnosed with stroke represented 38 percent of the cohort while black patients totaled 62 percent of this cohort. There is a higher prevalence of stroke in the black population compared to the white population in this study cohort. The importance of this finding is apparent upon consideration of deficiencies in the management of risk factors. Note: The University of Mississippi Medical Center Patient Cohort explorer database search used for this study uses a data filter set for 'black' or 'African-American' in the search query. This study includes those patients designated 'black' or 'African-American' admitted with stroke at the University of Mississippi Medical Center. For clarity, this cohort will be identified in this paper as 'black Americans.'
{"title":"The Association Between Race and Stroke Prevalence in a Patient Cohort in Mississippi.","authors":"Christopher Ashley, Shamsi Daneshvari Berry","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The risk factors for stroke, including hypertension, high cholesterol, heart disease, diabetes, heavy alcohol use, and prior history of stroke, are well known. In Mississippi, there is often a wider gulf of socioeconomic disparities between racial groups than in other regions within the United States. This increases the effect of these disparities in minority populations. The goal of this research is to determine whether there is an increased risk of stroke prevalence in the black community than in the white population. The odds ratio of 1.5 (CI 1.3818 - 1.5591) was returned for this analysis. White patients diagnosed with stroke represented 38 percent of the cohort while black patients totaled 62 percent of this cohort. There is a higher prevalence of stroke in the black population compared to the white population in this study cohort. The importance of this finding is apparent upon consideration of deficiencies in the management of risk factors. <i>Note:</i> The University of Mississippi Medical Center Patient Cohort explorer database search used for this study uses a data filter set for 'black' or 'African-American' in the search query. This study includes those patients designated 'black' or 'African-American' admitted with stroke at the University of Mississippi Medical Center. For clarity, this cohort will be identified in this paper as 'black Americans.'</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883364/pdf/phim0018-0001i.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25413035","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}
The notion of health information privacy has evolved over time as the healthcare industry has embraced technology. Where once individuals were concerned about the privacy of their conversations and financial information, the digitization of health data has created new challenges for those responsible for ensuring that patient information remains secure and private. Coupled with the lack of updated, overarching legislation, a critical gap exists between advancements in technology, consumer informatics tools and privacy regulations. Almost twenty years after the HIPAA (Health Insurance Portability and Accountability Act) compliance date, the healthcare industry continues to seek solutions to privacy challenges absent formal contemporary law. Since HIPAA, a few attempts have been made to control specific aspects of health information including genetic information and use of technology however none were visionary enough to address issues seen in today's digital data focused healthcare environment. The proliferation of digital health data, trends in data use, increased use of telehealth applications due to COVID-19 pandemic and the consumer's participatory role in healthcare all create new challenges not covered by the existing legal framework. Modern efforts to address this dilemma have emerged in state and international law though the United States healthcare industry continues to operate under a law written two decades ago. As technology continues to advance at a rapid pace along with consumers playing a greater role in the management of their healthcare through digital health the privacy guidance provided by federal law must also shift to reflect the new reality.
{"title":"Health Information Privacy Laws in the Digital Age: HIPAA Doesn't Apply.","authors":"Kim Theodos, Scott Sittig","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The notion of health information privacy has evolved over time as the healthcare industry has embraced technology. Where once individuals were concerned about the privacy of their conversations and financial information, the digitization of health data has created new challenges for those responsible for ensuring that patient information remains secure and private. Coupled with the lack of updated, overarching legislation, a critical gap exists between advancements in technology, consumer informatics tools and privacy regulations. Almost twenty years after the HIPAA (Health Insurance Portability and Accountability Act) compliance date, the healthcare industry continues to seek solutions to privacy challenges absent formal contemporary law. Since HIPAA, a few attempts have been made to control specific aspects of health information including genetic information and use of technology however none were visionary enough to address issues seen in today's digital data focused healthcare environment. The proliferation of digital health data, trends in data use, increased use of telehealth applications due to COVID-19 pandemic and the consumer's participatory role in healthcare all create new challenges not covered by the existing legal framework. Modern efforts to address this dilemma have emerged in state and international law though the United States healthcare industry continues to operate under a law written two decades ago. As technology continues to advance at a rapid pace along with consumers playing a greater role in the management of their healthcare through digital health the privacy guidance provided by federal law must also shift to reflect the new reality.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883355/pdf/phim0018-0001l.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25413038","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}
Steve Moeini, Valerie Watzlaf, Leming Zhou, Rev Paul Abernathy
A well-being mobile app was built and tested by performing a usability study in a trauma affected community (TAC). Seven usability tasks were given to social workers during Phase 1. Phase 2 of the usability study was a re-test of the same tasks with the same social workers after refinements were applied. The results showed that most users preferred darker foreground colors, lighter background colors, larger fonts, and larger sized UI components. Statistically significant improvements were found after changes were implemented to the app and included time for page navigation (Z = -2.366, p = 0.018), logout (Z = -1.997, p = 0.046), and item selection in a page (Z = -2.371, p = 0.018). UI positioning and size changes proved to be a significant determinant of user satisfaction based on the positive feedback received from the computer systems usability questionnaire (CSUQ). (User1: p = .000, User 2 withdrew; User3: p = .010, User4: p = .000, User5: p = .001, User6: p = .006, User7: p = .025). HIM professionals assisted in the design, development, and administration of the usability study. This is another area in which HIM professionals are needed when assessing health and wellness in communities affected by trauma.
通过在创伤影响社区(TAC)进行可用性研究,构建并测试了一款健康移动应用程序。在第一阶段,社会工作者被分配了七个可用性任务。可用性研究的第二阶段是在经过改进后,对相同的社会工作者进行相同的任务的重新测试。结果显示,大多数用户喜欢较深的前景色、较浅的背景色、较大的字体和较大的UI组件。在对应用程序进行更改后,包括页面导航时间(Z = -2.366, p = 0.018),注销时间(Z = -1.997, p = 0.046)和页面中的项目选择时间(Z = -2.371, p = 0.018),发现了统计学上显著的改进。根据从计算机系统可用性问卷(CSUQ)收到的积极反馈,UI定位和尺寸变化被证明是用户满意度的重要决定因素。(User1: p = .000, user2退出;User3: p = 0.010, User4: p = 0.000, User5: p = 0.001, User6: p = 0.006, User7: p = 0.025)。他的专业人员在可用性研究的设计、开发和管理中协助。这是在评估受创伤影响的社区的健康和福利时需要卫生保健专业人员的另一个领域。
{"title":"Development of a Weighted Well-Being Assessment Mobile App for Trauma Affected Communities: A Usability Study.","authors":"Steve Moeini, Valerie Watzlaf, Leming Zhou, Rev Paul Abernathy","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>A well-being mobile app was built and tested by performing a usability study in a trauma affected community (TAC). Seven usability tasks were given to social workers during Phase 1. Phase 2 of the usability study was a re-test of the same tasks with the same social workers after refinements were applied. The results showed that most users preferred darker foreground colors, lighter background colors, larger fonts, and larger sized UI components. Statistically significant improvements were found after changes were implemented to the app and included time for page navigation (Z = -2.366, p = 0.018), logout (Z = -1.997, p = 0.046), and item selection in a page (Z = -2.371, p = 0.018). UI positioning and size changes proved to be a significant determinant of user satisfaction based on the positive feedback received from the computer systems usability questionnaire (CSUQ). (User1: p = .000, User 2 withdrew; User3: p = .010, User4: p = .000, User5: p = .001, User6: p = .006, User7: p = .025). HIM professionals assisted in the design, development, and administration of the usability study. This is another area in which HIM professionals are needed when assessing health and wellness in communities affected by trauma.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883351/pdf/phim0018-0001o.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25413452","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}
Kim Beesley, Alexander McLeod, Barbara Hewitt, Jackie Moczygemba
This paper examines the changes affecting the health information management (HIM) professional skill set and industry demand to determine differences affecting practitioners. As the industry continues to experience technological innovation, the responsibilities of the HIM professional are in flux, affecting the required skill set of the changing environment. This research used the American Health Information Management Association salary survey and current job postings to determine whether the workforce has experienced deskilling and whether a theory-practice-gap exists. It also assesses if industry competencies align with the Health Information Management Reimaged perspectives. The results indicate that the workforce has not experienced deskilling, that a theory-practice gap does exist, and that Health Information Management Reimaged is aligned with industry needs.
{"title":"Health Information Management Reimagined: Assessing Current Professional Skills and Industry Demand.","authors":"Kim Beesley, Alexander McLeod, Barbara Hewitt, Jackie Moczygemba","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This paper examines the changes affecting the health information management (HIM) professional skill set and industry demand to determine differences affecting practitioners. As the industry continues to experience technological innovation, the responsibilities of the HIM professional are in flux, affecting the required skill set of the changing environment. This research used the American Health Information Management Association salary survey and current job postings to determine whether the workforce has experienced deskilling and whether a theory-practice-gap exists. It also assesses if industry competencies align with the Health Information Management Reimaged perspectives. The results indicate that the workforce has not experienced deskilling, that a theory-practice gap does exist, and that Health Information Management Reimaged is aligned with industry needs.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883363/pdf/phim0018-0001b.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25406992","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}
This study described the results of online interprofessional education (IPE) between physical therapy and health information management students. Using the published Student Perceptions of Interprofessional Clinical Education - Revised, version 2 (SPICE-R2) survey, this study measured changes in perception about IPE before and after three online interactions. Survey results included an overall score and three factors: Interprofessional Teamwork and Team-Based Practice (T), Roles/Responsibilities for Collaborative Practice (R), and Patient Outcomes from Collaborative Practice (O). Data were analyzed using two-way analysis of variance tests using time and program as factors. The overall scores improved significantly for time (ρ=.019). The T factor demonstrated a significant change for program (ρ=.006) and the R factor improved significantly over time (ρ=.005) and by program (ρ=.022). Narrative student comments focused on role and responsibility clarification, communication and coordination, and participation in a realistic experience involving multiple professions. The students believed that the experience was beneficial and important.
{"title":"Physical Therapy and Health Information Management Students: Perceptions of an Online Interprofessional Education Experience.","authors":"Lois Stickley, David Gibbs","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This study described the results of online interprofessional education (IPE) between physical therapy and health information management students. Using the published <i>Student Perceptions of Interprofessional Clinical Education - Revised, version 2</i> (SPICE-R2) survey, this study measured changes in perception about IPE before and after three online interactions. Survey results included an overall score and three factors: Interprofessional Teamwork and Team-Based Practice (T), Roles/Responsibilities for Collaborative Practice (R), and Patient Outcomes from Collaborative Practice (O). Data were analyzed using two-way analysis of variance tests using time and program as factors. The overall scores improved significantly for time (ρ=.019). The T factor demonstrated a significant change for program (ρ=.006) and the R factor improved significantly over time (ρ=.005) and by program (ρ=.022). Narrative student comments focused on role and responsibility clarification, communication and coordination, and participation in a realistic experience involving multiple professions. The students believed that the experience was beneficial and important.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883362/pdf/phim0018-0001f.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25413032","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}