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This is another area in which HIM professionals are needed when assessing health and wellness in communities affected by trauma.Northeast Alabama Regional Medical Center (RMC) in Anniston, Alabama purchased a smaller hospital in 2017. Staff at the two hospitals were tasked with merging the two Electronic Medical Record (EMR) systems into one unified system. From the outset, there were two systems with different medical record number specifications and patient identification systems as well as two different patient name parameters. The merging of these records and systems meant dealing with different vendor EMR systems and ancillary systems to produce a single unified record within RMC's EMR and the document imaging system that housed the legal medical record for each patient. This case study describes the process and procedures of merging the patient records from both hospitals to create one Enterprise Master Patient Index (EMPI); and the collaboration between the Health Information Management and Information Technology departments to accomplish this goal. It also reviews the impact and challenges related to the system's development, as well as lessons learned while completing the project.The COVID-19 pandemic has increased the emphasis on population health, therefore potentially amplifying demand for healthcare workforce professionals in this area. There is an urgent need to explore and define the roles of health information management (HIM) professionals in the population health workforce. This study sought to identify the skill sets and qualifications needed, and HIM education alignment with skills necessary for HIM professionals entering the population health workforce. An intentionally broad internet search of job postings was conducted to determine skills in population health. Population health-related job descriptions and qualification requirements were abstracted and analyzed using ATLAS.ti. Three common job categories were identified management, analytics, and coding. Skill set requirements included soft skills, problem solving, project management, research, and data analysis. The study results identified HIM educational alignment and found that HIM professionals are generally a good fit to meet the increased need in the population health workforce.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.

Child injuries are a worldwide public health concern. An injury surveil

ance system (ISS) has a beneficial impact on child injury prevention, but an evidence-based consensus on frameworks is necessary to establish a child ISS.

To investigate key components of a child ISS and to propose a framework for implementation.

Data were gathered through interview with experts using unstructured questions to identify child ISS functional components. Qualitative data was analyzed using content analysis method. Then, the Modified Delphi method was used to validate functional components. Based on the outcomes of the content analysis, a questionnaire with closed questions was developed to be presented to a group of experts. Consensus was achieved in two rounds.

In round I, 117 items reached consensus. In round II, five items reached consensus and were incorporated into the final framework. selleck Consensus was reached for 122 items comprising the final framework and representing seven key components goals of the system, data sources, data set, coalition of stakeholders, data collection, data analysis, and data distribution. Each component consisted of several sub-components and respective elements.

This agreed framework will assist to standardize data collection, analysis, and distribution to detect child injury problem and provide evidence for preventive measures.

This agreed framework will assist to standardize data collection, analysis, and distribution to detect child injury problem and provide evidence for preventive measures.Demand for big-data scientists continues to escalate driving a pressing need for new graduates to be more fluent in the big-data skills needed by employers. If a gap exists between the educational knowledge held by graduates and big data workplace skills needed to produce results, workers will be unable to address the big data needs of employers. This survey explores big-data skills in the classroom and those required in the workplace to determine if a skills gap exists for big-data scientists. In this work, data was collected using a national survey of healthcare professionals. Participant responses were analyzed to inform curriculum development, providing valuable information for academics and the industry leaders who hire new data talent.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.'The explosion of electronic documentation associated with Meaningful Use-certified electronic health record systems has led to a massive increase in provider workload for completion and finalization of patient encounters. Delinquency of required documentation affects multiple areas of hospital operations. We present the major stakeholders affected by delinquency of the electronic medical record and examine the differing perspectives to gain insight for successful engagement to reduce the burden of medical record delinquency.At the end of 2019, the world faced the novel coronavirus, and with it fear of economic collapse and mass fatalities. Simulation systems can be used to monitor the behavior of the virus. Simulation provides an abstract representation of reality by conveying details and characteristics of reality in a simple application. One of the most important ways to simulate is agent-based modeling. The health information professional plays an important role in developing these models. In this research, we simulate the spread of COVID-19 in a region restricted to a population with specific demographic characteristics and social relationships. This study aims to clarify the effects of preventative techniques that suppress the spread of epidemics, such as quarantines, social distancing, and reduced mass transit.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.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. link2 This retrospective cohort study examined all telemedicine visits dated 2008-2017 at a large academic medical center. Visits were classified by clinical specialty. link3 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.The purpose of this survey was to gather advice on professional networking to assist health information management/technology students and new graduates. An online survey was sent to members of the Michigan Health Information Management Association (MHIMA) through a series of e-mails with 119 responses. Open-ended questions were analyzed using qualitative summative content analysis. Overall trends identified from the advice were to be active in the health information management (HIM) community and engage in positive relationships while avoiding negative or self-centered behaviors. Online networking activities were also recommended to be included in the process although not as the only means of networking. Attending regional and state HIM association events and volunteering with regional associations were selected most often as effective networking activities.