The adoption rate of health information technology (HIT) remains low in developing countries, where healthcare institutions experience high operating costs and loss of revenue, which are related to systems and processes inefficiency. The purpose of this case study was to explore strategies leaders in Zimbabwe used to implement HIT. The conceptual framework of the study was Davis's technology acceptance model (TAM). Data were gathered through observations, review of organizational documents (i.e., policies, procedures, and guidelines), and in-depth interviews with a purposive sample of 10 healthcare leaders and end-users from hospitals in Zimbabwe who had successfully implemented HIT. Transcribed interview data were coded and analyzed for emerging themes. Implementation strategies, overcoming barriers to adoption, and user acceptance emerged as the themes most healthcare leaders associated with successful HIT projects. Several subthemes also emerged, including: (a) the importance of stakeholder involvement, (b) the importance of management buy-in, and (c) the low level of IT literacy among healthcare workers. The strategies identified in this study may provide a foundation on which healthcare leaders in developing countries can successfully adopt and implement HIT. The recommendations from this study could lead to positive social change by providing leaders with knowledge and skills to use information technology strategies to deliver better healthcare at lower costs while creating employment for local communities.

Currently, C Hospital lacks a standardized nursing informatics competency program to validate nurses' skills and knowledge in using electronic medical records (EMRs). At the study locale, the organization is about to embark on the implementation of a new, more comprehensive EMR system. All departments will be required to use the new EMR, unlike the current policy that allows some areas to still document on paper. The Institute of Medicine, National League of Nursing, and American Association of Colleges of Nursing support and recommend that information technology be an essential core competency for nurses. Evidence of the need for nursing informatic competencies was found through a literature search using CINHAL, Proquest Nursing, Medline, and Pubmed search lines. Concepts searched were competencies, nursing informatics, health information technology, electronic health record, information technology literacy, nursing education, information technology training, and curriculum. The Staggers Nursing Computer Experience Questionnaire was distributed to 300 nurses practicing within the hospital setting to obtain baseline data on current nursing computer knowledge and skill level. This validated tool was created by Nancy Staggers in 1994 and used in other process improvement efforts similar to this one. The assumption was that nursing competency levels with computers were varied through the hospital. The data obtained from the questionnaire, through Zoho Survey tool, confirmed this assumption and were used to help create the education, support, and competency plan for the future. Data was analyzed through the built-in reports and interactive charts that the Zoho survey tool provides. The new EMR and all the new processes that come with it will be the framework of nursing care. Having competent nurses in the use of the EMR will optimize the quality of patient care delivered.

Despite defibrillation as the only effective treatment for sudden cardiac arrest (SCA), less than 15% of homes and public facilities have access to an automated external defibrillator (AED). In the United States, ineffective response to SCA cases occurring each year classifies it as a business problem for medical device manufacturing leaders, emergency responders, and bystanders. The purpose of this multicase study was to explore the marketing strategies AED manufacturing leaders use to expand their consumer customer base. Data were collected via in-depth interviews with a purposive sample of participants from 2 U.S. AED manufacturers on the east coast, 2 AED distributors, and 2 healthcare corporations in Texas, as well as a review of company materials. The framework for this study was product life cycle theory. Initial findings for expanding the U.S. AED market indicated that the market was not led by its manufacturers but by its distributors. This finding became an important theme noted from AED manufacturers in considering the consumer segment, an aftermarket from commercial marketing strategies. A common concern for the security of strategic marketing was evident across the AED manufacturer participants with reluctance to discuss business models and marketing plans. A congruent theme was the curtailment of open discussions regarding AED marketing strategies because of security and confidentiality risk. Also, limited number of approved AED manufacturers by the Federal Drug Administration minimizes AED access. Residual outcomes include improving the quality of life for the aging population while reducing the loss of the lives and costs of healthcare. Social implications include preventing sudden cardiac death by providing more accessibility of AEDs to baby boomers.

Over 700,000 adverse drug events (ADEs) result in emergency hospital visits annually, and many of these ADEs are preventable through the use of health information technology in hospitals. However, only 12.6% of U.S. hospitals have developed the capacity to adopt closed-loop electronic medical records (EMR). Organizational complexity may be a major factor influencing hospitals' adoption of closed-loop EMR. This quantitative study explored how organizational complexity influenced hospitals' adoption of closed-loop EMR. Diffusion of innovation theory was the foundation for this study. Logistic regression was used to establish possible relationships between organizational complexity and hospitals' adoption of EMR for closed-loop medication therapy management. Secondary data from Health Information and Management Systems Society were examined to explore the relationship between organization complexity and hospitals' adoption of EMR for closed-loop medication therapy. The research questions explored whether vendor selection strategy, structural complexity, and management structure influence hospitals' adoption of EMR for closed-loop medication therapy management. The results indicated that all three variables, vendor selection strategy, structural complexity, and management structure, are statistically significant predictors of hospitals' adoption of EMR for closed-loop medication therapy management. Results from this study may promote positive social change by enhancing hospitals' adoption of EMR for closed-loop medication therapy management, which may therefore help improve the quality, efficiency, and safety of health care delivery in U.S. hospitals.

The purpose of this project was to evaluate the effectiveness of a practice-based dermoscopy training program for dermatology healthcare providers in order to improve their technique of performing clinical skin exams for the early detection of melanomas. The overall incidence of melanoma continues to rise. More than 75% of all skin cancer deaths are from melanoma. Advanced melanoma spreads to lymph nodes and internal organs and can result in death. One American dies from melanoma almost every hour (American Cancer Society [ACS], 2009). Early diagnosis and excision are essential to reduce morbidity and to improve patient survival. This one-group before-and-after study design utilized a convenience sample of three dermatology healthcare providers (DHPs). The primary investigator conducted a retrospective review of the pathology logs for each provider. The time frame for the review was a three-month period in 2010, which represented the same time frame that the study was conducted in 2011. The DHPs participated in a four-hour training workshop that included pattern analysis recognition using dermoscopy. Following the workshop, each DHP was given a DermLite 3Gen DL100 to use in practice when performing clinical skin examinations. All DHPs completed a data collection sheet to document their pattern of decision making with and without a DermLite. The outcome of interest was the use of dermoscopy by DHPs to demonstrate an increased detection of melanoma when compared to naked-eye examination. The outcome was evaluated 12 weeks postworkshop training. There were 120 evaluations made with the DermLite as compared to the naked eye. The overall agreement was 0.52, AC1 coefficient (95% CI) was 0.36 (0.30, 0.42), p < .001, and kappa coefficient (95% CI) was 0.27 (0.20, 0.43), p < .001. Overall, the risk of lesion under exam being suspicion for skin cancer was higher on 27.5% (33 out of 120) of the evaluations and lower on 20.8% (25 out of 120) evaluations. The risk of lesion was evaluated the same on 51.7% (62 out of 120) of the evaluations. This is an indication of “Poor” agreement between the two methods. The diagnosis and disposition made using DermLite compared to naked-eye results for both coefficients provided an “Intermediate to Good” agreement between the two methods in assigning diagnosis and disposition. This indicates that there is no difference between DermLite and naked-eye evaluations. More studies are needed in order to provide better evidence on the value of dermoscopy in clinical practice at the Dermatology and Laser Center. Future projects should be more explicit regarding the methods used and lesion selection in order to better understand the benefits of dermoscopy.

abstract: Clinical Decision Support (CDS) is primarily associated with alerts, reminders, order entry, rule-based invocation, diagnostic aids, and on-demand information retrieval. While valuable, these foci have been in production use for decades, and do not provide a broader, interoperable means of plugging structured clinical knowledge into live electronic health record (EHR) ecosystems for purposes of orchestrating the user experiences of patients and clinicians. To date, the gap between knowledge representation and user-facing EHR integration has been considered an “implementation concern” requiring unscalable manual human efforts and governance coordination. Drafting a questionnaire engineered to meet the specifications of the HL7 CDS Knowledge Artifact specification, for example, carries no reasonable expectation that it may be imported and deployed into a live system without significant burdens. Dramatic reduction of the time and effort gap in the research and application cycle could be revolutionary. Doing so, however, requires both a floor-to-ceiling precoordination of functional boundaries in the knowledge management lifecycle, as well as formalization of the human processes by which this occurs. This research introduces ARTAKA: Architecture for Real-Time Application of Knowledge Artifacts, as a concrete floor-to-ceiling technological blueprint for both provider heath IT (HIT) and vendor organizations to incrementally introduce value into existing systems dynamically. This is made possible by service-ization of curated knowledge artifacts, then injected into a highly scalable backend infrastructure by automated orchestration through public marketplaces. Supplementary examples of client app integration are also provided. Compilation of knowledge into platform-specific form has been left flexible, in so far as implementations comply with ARTAKA’s Context Event Service (CES) communication and Health Services Platform (HSP) Marketplace service packaging standards. Towards the goal of interoperable human processes, ARTAKA’s treatment of knowledge artifacts as a specialized form of software allows knowledge engineers to operate as a type of software engineering practice. Thus, nearly a century of software development processes, tools, policies, and lessons offer immediate benefit: in some cases, with remarkable parity. Analyses of experimentation is provided with guidelines in how choice aspects of software development life cycles (SDLCs) apply to knowledge artifact development in an ARTAKA environment. Portions of this culminating document have been further initiated with Standards Developing Organizations (SDOs) intended to ultimately produce normative standards, as have active relationships with other bodies. / Dissertation/Thesis / Doctoral Dissertation Biomedical Informatics 2018

Nurses are often the first members of the health care team with whom patients interact. The initial impression of the nurses’ receptiveness to the patients’ needs influences the patients’ views of their overall care. Researchers have suggested that understanding communication between individuals can provide the human link, or social element, to the successful implementation and use of electronic health records, including documentation (Lanham, Leykum, & McDaniel, 2012). Zadvinskis, Chipps, and Yen (2014) identified that the helpful features of bedside documentation systems were offset by the mismatch between the system and nurse’s workflow. The purpose of this micro-ethnography study was to explore the culture of nurse-patient interaction associated with electronic documentation at the bedside. Data were collected through passive participant observation, audio-taping of the nurse-patient interactions, and informal and semi-structured interviews with the nurses. A total of twenty-six observations were conducted on three nursing units at an urban healthcare facility in New England. These three units were occupied by similar patient populations and all patients required cardiac monitoring. Three themes consistently emerged from qualitative data analysis: the nurses paused during verbal communication, the nurses played a game of tag between the patient and the computer, and the nurses performed automatic or machine-like actions. The participants described these themes in the informal and semi-structured interviews. The nurses’ actions were observed during passive participant observation, and the audio-taped interactions supported these themes. Understanding the adaptation of caregiving necessitated by bedside electronic documentation will have a positive impact on developing systems that interface seamlessly with the nurses’ workflow and encourage patients’ active participation in their care.

abstract: Clinicians confront formidable challenges with information management and coordination activities. When not properly integrated into clinical workflow, technologies can further burden clinicians’ cognitive resources, which is associated with medical errors and risks to patient safety. An understanding of workflow is necessary to redesign information technologies (IT) that better support clinical processes. This is particularly important in surgical care, which is among the most clinical and resource intensive settings in healthcare, and is associated with a high rate of adverse events. There are a growing number of tools to study workflow; however, few produce the kinds of in-depth analyses needed to understand health IT-mediated workflow. The goals of this research are to: (1) investigate and model workflow and communication processes across technologies and care team members in post-operative hospital care; (2) introduce a mixed-method framework, and (3) demonstrate the framework by examining two health IT-mediated tasks. This research draws on distributed cognition and cognitive engineering theories to develop a micro-analytic strategy in which workflow is broken down into constituent people, artifacts, information, and the interactions between them. It models the interactions that enable information flow across people and artifacts, and identifies dependencies between them. This research found that clinicians manage information in particular ways to facilitate planned and emergent decision-making and coordination processes. Barriers to information flow include frequent information transfers, clinical reasoning absent in documents, conflicting and redundant data across documents and applications, and that clinicians are burdened as information managers. This research also shows there is enormous variation in how clinicians interact with electronic health records (EHRs) to complete routine tasks. Variation is best evidenced by patterns that occur for only one patient case and patterns that contain repeated events. Variation is associated with the users’ experience (EHR and clinical), patient case complexity, and a lack of cognitive support provided by the system to help the user find and synthesize information. The methodology is used to assess how health IT can be improved to better support clinicians’ information management and coordination processes (e.g., context-sensitive design), and to inform how resources can best be allocated for clinician observation and training. / Dissertation/Thesis / Doctoral Dissertation Biomedical Informatics 2017

Introduction: This research investigated the requirements of an HIT solution that is usable and useful to informal caregivers of cancer patients on home palliative care. Methodology: A needs assessment method was used with an exploratory and a confirmatory stage. Eight semi-structured interviews and two focus groups were used for data collection. Qualitative content analysis was used to analyse caregiver experiences with both inductive and deductive coding. Results/Discussion: Expressed and unexpressed caregiver needs were extracted into four categories, Implementation, Presentation, Information, and Practical Caregiving, and used to create the application requirements. Five user personas were created based on caregiving intensity and the functional level of the patients, a method of tailoring the application content to the different personas was created, and a low-fidelity prototype of the application was designed. Conclusion: The findings of this research can improve the preparedness and coping of informal caregivers of cancer patients on home palliative care.

Health information technology (HIT) aims to improve healthcare services by means of technological tools. Patient centered technologies such as personal health records are relatively new HIT tools that enable individuals to get involved in their health management activities. These tools enable the transformation of health consumer behavior from one of passive health information consumers to that of active managers of their health information. This new role is more interactive and engaged, and with such tools, patients can better navigate their lives, and exercise more control over their treatments, hence potentially also leading to improvement in the quality of health services. Despite the benefits of using personal health record systems for health consumers, the adoption rate of these systems remains low. Many free and paid services have not received the uptake that had been anticipated when these services were first introduced. This study investigates some factors that affect the adoption of these systems, and may shed light on some potential reasons for low adoption rates. In developing the theoretical model of this study, social cognitive theory (SCT) and technology acceptance model (TAM) were utilized. The theoretical model was validated through a quantitative survey-based methodology, and the results were derived using structural equation modeling techniques. The key findings of this study highlight the role of individual and environmental factors as determinants of end-user behavior in the adoption of personal health records. The results show that in addition to perceptions of usefulness and ease of use, factors such as social norms and technology awareness are also significantly associated with various factors that directly and indirectly affect intention to use PHRs Based on the results obtained in this study, recommendations are offered for technology providers, and possible directions are proposed for academic researchers.