Electronic Health Record (EHR) Abstraction.

The purpose of electronic health record (EHR) abstraction includes collection of data related to administrative coding functions, quality improvement, clinical registry functions and clinical research. This article examines the different abstraction methods, such as manual abstraction, simple query, and natural language processing (NLP). It also discusses the advantages and disadvantages of each of those methods. The process used for successful EHR abstraction is also discussed and includes the scope and resources needed (time, budget, type of healthcare professionals RHIA, RHIT, etc.). The relationship between EHRs and the clinical registry is also examined with a focus on validity of the data extracted. Future research in this area to examine abstraction methods across hospitals who do data abstraction are being finalized for a future publication.

Clinical Data Abstraction: A Research Study.

This is the second part in a two-part research study on clinical data abstraction.1 Clinical data abstraction is the process of capturing key administrative and clinical data elements from a medical record. Very little is known about how the abstraction function is organized and managed today. A research study to gather data on how the clinical data abstraction function is managed in healthcare organizations across the country was performed. Results show that the majority of the healthcare organizations surveyed have a decentralized system, still perform the abstraction in-house as part of the coding workflow, and use manual abstraction followed by natural language processing (NLP) and simple query. The qualifications and training of abstractors varied across abstraction functions, however coders followed by nurses and health information management (HIM) professionals were the three top performers in abstraction. While, in general, abstraction is decentralized in most enterprises, two enterprise-wide abstraction models emerged from our study. In Model 1, the HIM department is responsible for coding, as well as all of the abstraction functions except the cancer registry and trauma registry abstraction. In Model 2, the quality department is responsible for all of the abstraction functions except the cancer registry, trauma registry, and coding function.

COVID-19 simulation study-the effect of strict non-pharmaceutical interventions (NPIs) on controlling the spread of COVID-19.

BACKGROUND: From the beginning of 2020, COVID-19 infection has changed our lives in many aspects and introduced limitations in the way people interact and communicate. In this paper, we are evaluating the effect of non-pharmaceutical interventions (NPI) in limiting the spread of the Severe Acute Respiratory Syndrome Coronavirus 2 pandemic during a wedding ceremony from Irbid, Northern Jordan. Agent-based modeling was used in a real wedding event that occurred at the beginning of the spread of the pandemic in Jordan. Two infected nationals of Jordan, who arrived in Jordan about a week before the event, initiated the spread of the pandemic within the contact community. METHODS: In this work, a strict national NPI that the government implemented is developed by using an abstract model with certain characteristics similar to the Jordanian community. Thus, the Jordanian community is represented in terms of ages, occupations, and population movements. After that, the extent of the impact of the NPI measures on the local community is measured. RESULTS: We observed the deterioration of the state of society while the epidemic is spreading among individuals in the absence of preventive measures. Also, the results show that the herd immunity case was an epidemic, with a high level of spread among the community with 918 cases during a short interval of time. On the other hand, the preventive measures scenario shows a totally controlled spread with only 74 cases applied on the same interval of time. Furthermore, a convergence in the actual results of the real system with the hypothetical system were detected in the case of applying the strict NPI measures. Finally, strict NPI at the community level following social gatherings seem to be effective measures to control the spread of the COVID- 19 pandemic.

Development of a Weighted Well-Being Assessment Mobile App for Trauma Affected Communities: A Usability Study.

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.

A Simulation Study of Coronavirus as an Epidemic Disease Using Agent-Based Modeling.

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.

EVALUATION OF A TELEHEALTH APPLICATION (SEHHA) USED DURING THE COVID-19 PANDEMIC IN SAUDI ARABIA: PROVIDER EXPERIENCE AND SATISFACTION.

Introduction: COVID-19 has drastically transformed healthcare delivery and forced many to utilize telehealth. This study aimed to comprehensively evaluate the telehealth service "Sehha" used during COVID-19 in Saudi Arabia and assess the provider experience and satisfaction with Sehha. Methods: A questionnaire was distributed by the Ministry of Health (MoH) to 362 physicians using Sehha. The questionnaire items were adapted from previous studies and then tested for content validity and reliability (α = 0.88). Results: The findings showed that most of the physicians improved their experience in telehealth because of COVID-19. The majority of the physicians (67.6 percent) reported being satisfied with Sehha. However, the most commonly perceived challenge by the physicians was difficulty in providing accurate medical assessments. Conclusion: COVID-19 has remarkably uncovered numerous benefits of telehealth. Therefore, telehealth should remain a permanent model of healthcare delivery with consideration of further telehealth development initiatives.

A Telehealth Privacy and Security Self-Assessment Questionnaire for Telehealth Providers: Development and Validation.

BACKGROUND: Telehealth is a great approach for providing high quality health care services to people who cannot easily access these services in person. However, because of frequently reported health data breaches, many people may hesitate to use telehealth-based health care services. It is necessary for telehealth care providers to demonstrate that they have taken sufficient actions to protect their patients' data security and privacy. The government provided a HIPAA audit protocol that is highly useful for internal security and privacy auditing on health care systems, however, this protocol includes extensive details that are not always specific to telehealth and therefore is difficult to be used by telehealth practitioners. OBJECTIVE: The goal of this study was to develop and validate a telehealth privacy and security self-assessment questionnaire for telehealth providers. METHODS: In our previous work, we performed a systematic review on the security and privacy protection offered in various telehealth systems. The results from this systematic review and the HIPAA audit protocol were used to guide the development of the self-assessment questionnaire. The draft of the questionnaire was created by the research team and distributed to a group of telehealth providers for evaluating the relevance and clarity of each statement in the draft. The questionnaire was adjusted and finalized according to the collected feedback and face-to-face discussions by the research team. A website was created to distribute the questionnaire and manage the answers from study participants. A psychometric analysis was performed to evaluate the reliability of the questionnaire. RESULTS: There were 84 statements in the draft questionnaire. Five telehealth providers provided their feedback to the statements in this draft. They indicated that a number of these statements were either redundant or beyond the capacity of telehealth care practitioners, who typically do not have formal training in information security. They also pointed out that the wording of some statements needed to be adjusted. The final released version of the questionnaire had 49 statements. In total, 31 telehealth providers across the nation participated in the study by answering all the statements in this questionnaire. The psychometric analysis indicated that the reliability of this questionnaire was high. CONCLUSION: With the availability of this self-assessment questionnaire, telehealth providers can perform a quick self-assessment on their telehealth systems. The assessment results may be used to identify possible vulnerabilities in telehealth systems and practice or demonstrate to patients the sufficient security and privacy protection to patients' data.

Genetic Variations and Precision Medicine.

The time and costs associated with the sequencing of a human genome have decreased significantly in recent years. Many people have chosen to have their genomes sequenced to receive genomics-based personalized healthcare services. To reach the goal of genomics-based precision medicine, health information management (HIM) professionals need to manage and analyze patients' genomic data. Two important pieces of information from the genome sequence are the risk of genetic diseases and the specific medication or pharmacogenomic results for the individual patient, both of which are linked to a patient's genetic variations. In this review article, we introduce genetic variations, including their data types, relevant databases, and some currently available analysis methods and systems. HIM professionals can choose to use these databases, methods, and systems in the management and analysis of patients' genomic data.

Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study.

BACKGROUND: A large number of mobile health (mHealth) apps have been created to help users to manage their health or receive health care services. Many of these mHealth apps have proven to be helpful for maintaining or improving their users' health. However, many people still choose not to use mHealth apps or only use them for a short period. One of the reasons behind this lack of use is the concern for their health information security and privacy. OBJECTIVE: The goal of this study was to determine the relationship between users' characteristics and their security and privacy concerns and to identify desired security features in mHealth apps, which could reduce these concerns. METHODS: A questionnaire was designed and validated by the research team. This questionnaire was then used to determine mobile app users' security and privacy concerns regarding personal health data in mHealth apps as well as the security features most users' desire. A semistructured interview was used to identify barriers to and facilitators of adopting mHealth apps. RESULTS: In total, 117 randomly selected study participants from a large pool took part in this study and provided responses to the validated questionnaire and the semistructured interview questions. The results indicate that most study participants did have concerns about their privacy when using mHealth apps. They also expressed their preferences regarding several security features in mHealth apps, such as regular password updates, remote wipe, user consent, and access control. An association between their demographic characteristics and their concerns and preferences in security and privacy was identified; however, in most cases, the differences among the different demographic groups were not statistically significant, except for a few very specific aspects. These study participants also indicated that the cost of apps and lack of security features in mHealth apps were barriers for adoption, whereas having free apps, strong but easy-to-use security features, and clear user protection privacy policies might encourage them to use mHealth apps in their health management. CONCLUSIONS: This questionnaire and interview study verified the security and privacy concerns of mHealth app users, identified the desired security and privacy features, and determined specific barriers to and facilitators of users adopting mHealth apps. The results can be used to guide mHealth app developers to create apps that would be welcomed by users.

A Comprehensive Review of Quality of Life Surveys for Trauma-Affected Communities.

Research shows that exposure to community and domestic violence leads to psychological trauma from childhood through adulthood, which can lead to poor health and early death. A team of health information management (HIM) professionals reviewed existing surveys to determine their suitability for assessing the quality of life (QoL) of people in trauma-affected communities (TACs). Keywords were used to search for papers describing validated QoL surveys. The obtained papers were screened, reviewed, and summarized to determine if they include the aspects needed for assessing QoL in TACs. Survey items from 20 surveys were identified as relevant to this study. Most of these 20 surveys cover one or two domains of QoL, and none of them were specifically designed for people in TACs. Therefore, it is necessary to develop a psychometrically sound assessment tool to quantify the levels of trauma, resilience, and well-being in TACs. HIM professionals have the required skills for this task.

User Authentication in Smartphones for Telehealth.

Many functions previously conducted on desktop computers are now performed on smartphones. Smartphones provide convenience, portability, and connectivity. When smartphones are used in the conduct of telehealth, sensitive data is invariably accessed, rendering the devices in need of user authentication to ensure data protection. User authentication of smartphones can help mitigate potential Health Insurance Portability and Accountability Act (HIPAA) breaches and keep sensitive patient information protected, while also facilitating the convenience of smartphones within everyday life and healthcare. This paper presents and examines several types of authentication methods available to smartphone users to help ensure security of sensitive data from attackers. The applications of these authentication methods in telehealth are discussed.

A Systematic Review of Research Studies Examining Telehealth Privacy and Security Practices used by Healthcare Providers.

The objective of this systematic review was to systematically review papers in the United States that examine current practices in privacy and security when telehealth technologies are used by healthcare providers. A literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P). PubMed, CINAHL and INSPEC from 2003 - 2016 were searched and returned 25,404 papers (after duplications were removed). Inclusion and exclusion criteria were strictly followed to examine title, abstract, and full text for 21 published papers which reported on privacy and security practices used by healthcare providers using telehealth. Data on confidentiality, integrity, privacy, informed consent, access control, availability, retention, encryption, and authentication were all searched and retrieved from the papers examined. Papers were selected by two independent reviewers, first per inclusion/exclusion criteria and, where there was disagreement, a third reviewer was consulted. The percentage of agreement and Cohen's kappa was 99.04% and 0.7331 respectively. The papers reviewed ranged from 2004 to 2016 and included several types of telehealth specialties. Sixty-seven percent were policy type studies, and 14 percent were survey/interview studies. There were no randomized controlled trials. Based upon the results, we conclude that it is necessary to have more studies with specific information about the use of privacy and security practices when using telehealth technologies as well as studies that examine patient and provider preferences on how data is kept private and secure during and after telehealth sessions.

A Health Information System for Scalable and Comprehensive Assessment of Well-Being: A Multidisciplinary Team Solution.

To improve the health and well-being of the medically underserved in a free clinic in Pittsburgh, Pennsylvania, a multidisciplinary team representing several health information management and information technology (IT) professionals, including faculty, students, researchers, and clinicians, created a novel IT system called imHealthy. The imHealthy system includes four critical components: a multidomain well-being questionnaire, a mobile app for data collection and tracking, a customization of an open-source electronic health record (EHR), and a data integration and well-being evaluation program leading to recommendations for personalized interventions to caregivers serving the medically underserved. This multidisciplinary team has worked closely on this project and finished critical components of the imHealthy system. Evaluations of these components will be conducted, and factors facilitating the design and adoption of the imHealthy system will be presented. The results from this research can serve as a model for free clinics with similar needs that identified by the research team in Cleveland, Indianapolis, Minnesota, Motor City, Orange County, San Diego, and St. Louis.

Effect of home-based rehabilitation on activities of daily living and gait in older adults with heart failure at risk for falling: A retrospective cohort study.

PURPOSE: The purpose of this study is to describe improvement in activities of daily living (ADL) and gait speed, and associated factors in subjects receiving home-based rehabilitation after hospital admission for heart failure. METHODS: A total of 1,055 patients (mean age 82 ± 8 years SD) receiving post-admission home care services for heart failure. Subjects were included if they were referred for home-care rehabilitation after inpatient admission with ICD-9 code indicating heart failure at inpatient discharge, primary home care, or co-morbid diagnosis on admission Outcome and Assessment Information Set version-C (OASIS-C). Change in total ADL score was described and adjusted for significant baseline factors/covariates using a generalized linear model. Factors predictive of exceeding the ADL score Minimal Detectable Change (MDC) were identified with multiple variable logistic regression. RESULTS: Mean change in total ADL score from admission to discharge was 1.6 ± 1.2, the mean change for gait speed was 0.17 ± 0.21 m/s, and the minimum detectable change (MDC) (1.3) was exceeded by 57% of subjects. Improvement in mean ADL score was significantly predicted by age, baseline total ADL score, baseline gait speed score, cognitive-behavioral status, and living situation (R2 = 42%). CONCLUSIONS: Patients with heart failure receiving home-based rehabilitation services make significant improvements in ADL function and gait performance. Greater ADL improvements are associated with younger age, faster gait speed at baseline, and greater impairment of baseline ADL scores. Age, baseline gait speed, and ADL composite score are significantly related to making a change beyond measurement error in ADL change score.

Privacy and Security in Multi-User Health Kiosks.

Enforcement of the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health Act (HITECH) has gotten stricter and penalties have become more severe in response to a significant increase in computer-related information breaches in recent years. With health information said to be worth twice as much as other forms of information on the underground market, making preservation of privacy and security an integral part of health technology development, rather than an afterthought, not only mitigates risks but also helps to ensure HIPAA and HITECH compliance. This paper provides a guide, based on the Office for Civil Rights (OCR) audit protocol, for creating and maintaining an audit checklist for multi-user health kiosks. Implementation of selected audit elements for a multi-user health kiosk designed for use by community-residing older adults illustrates how the guide can be applied.

Accessibility needs and challenges of a mHealth system for patients with dexterity impairments.

Purpose State: An innovative mobile health system called iMHere (interactive Mobile Health and Rehabilitation) has been developed at the University of Pittsburgh to support self-care and adherence to self-care regimens for patients with chronic conditions. The goal of this study is to explore and to identify the accessibility needs and preferences of individuals with dexterity impairments when they use the iMHere system. METHOD: Participants were asked to perform tasks after a one-week field trial. The time for a participant to complete each task, the number of possible errors a participant made and the number of errors a participant was able to self-correct were recorded and analyzed. The Telehealth Usability Questionnaire was collected to rate participants' experiences. RESULTS: Nine participants with various levels of dexterity abilities were included in the study. A statistically significant negative correlation was identified between participants' dexterity levels and their error ratios by using a Pearson product-moment correlation (r = -0.434, n = 36, p = 0.004). Approximately 51% of errors detected was self-corrected without any help, but other errors called for resolution from a researcher. CONCLUSIONS: Due to the diversity of participants' dexterity impairments, their needs and preferences differ one from another. Personalized design may be the key to approaching these challenges in improving accessibility. Implications for Rehabilitation An innovative mobile health system called iMHere has been developed to support self-care and adherence to self-care regimens as part of rehabilitation for patients with chronic conditions. Before populations with these limitations can harness the potential of mHealth, accessibility of mHealth has to be addressed to ensure its quality and value. Dexterity limitations are commonly associated with chronic disease, accidents or aging. The study presented here identified the potential issues and barriers to accessibility related to user interface components for persons with dexterity impairments. The findings should be of interest for those working with mobile health, accessibility, smartphone apps, wellness and self-care.

Health Information Management Leaders and the Practice of Leadership through the Lens of Bowen Theory.

Even though leadership is one of the most examined topics in the organizational literature, its application in the field of health information management (HIM) has not been studied extensively. This descriptive, mixed-methodology study examined HIM leadership through the lens of Bowen theory. The researchers conducted surveys of HIM directors and managers, administrators and colleagues of HIM leaders, and HIM staff using focus groups, observations of meetings, and face-to-face interviews. Results showed that HIM leaders are valued for HIM expertise in electronic health records, privacy, security, and coding; for being the center or heart of the organization; and for commonly valued leadership behaviors and skills including dependability, strategic planning, project management, listening ability, and fairness. Leadership was seen as a reciprocal process, and a team approach was preferred. Good communication, education, and training on HIM topics were also valued. However, HIM leaders believed that they spend more time on management activities than on leadership activities, although they would prefer the reverse. Future research is needed to examine how HIM leadership can be practiced more consistently in the workplace across different HIM functions.