2,856 research outputs found

    The Mission System: An Electronic Health Record for Medical Treatment in Guatemala

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    Abstract Problem: The introduction of an electronic health record (EHR) system has become an essential component in monitoring and tracking patient information in most developed countries but are difficult to implement in underdeveloped countries. Guatemala is a country with poor health care and limited resources for patient tracking and monitoring. An organization in Guatemala, Nursing Heart Inc. (NHI), provides care to over 40 underserved rural communities but lacks the ability to monitor and track patient information. In order for NHI to properly monitor and evaluate their programs and track patients’ continuity of care, the introduction of an EHR system is necessary. Methods: A system development framework was used to help identify the elements necessary for successful EHR workflow development for NHI. Focused interviews were conducted using structured interview guides with questions targeted towards EHR system design from first-hand observation from volunteers and staff members. Results: All the participants agreed that an EHR system would benefit NHI and will provide the ability to monitor patient trends over time, but will need to be simple, and have the ability to use in areas with no Wi-Fi. Implications for Practice: Using the information obtained from the structured interview guides, first-hand observation, aggregate data from NHI, and IT considerations, a set of elements and data were identified, and a series of recommendations established for a more streamlined method of collecting patient data for NHI

    Perspectives of Primary Care Physicians on Adopting Electronic Medical Records in the Atlanta, Georgia Area

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    Slow adoption of electronic medical records (EMR) by primary care physicians in medical office practices has not facilitated the EMR adoption process. The problem is the slow pace of EMR adoption by primary care physicians in the Atlanta, Georgia area has become a public health concern. Research regarding the lived experiences of these physicians with EMR implementation and utilization may identify reasons for the slow adoption. The purpose of this phenomenological study was to explore the lived experiences of primary care physicians, who practice in the Atlanta area, regarding their perception, successes, barriers, and urgency of adoption of EMR in their healthcare practice. Lewin\u27s change management model of health services served as the framework for the study. Data was collected during face-to-face interviews with 19 primary care physicians at Grady\u27s Ponce de Leon Clinic and Grady\u27s East Point Clinic in Atlanta, Georgia. Participants were physicians or residents and not those in authority to make decisions about the EMR at the two clinics. NVivo 10 and automatic coding was used for data analysis to develop themes from the interviews. The findings revealed that the adoption of EMR has enabled primary care physicians to spend more time with their patients, but the barriers such as a lack of interoperability and lack of training, has fostered a feeling of disinterestedness towards EMR adoption. This study supports positive social change that EMR adoption aids in improving patient safety and outcome

    An Integrated and Distributed Framework for a Malaysian Telemedicine System (MyTel)

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    The overall aim of the research was to produce a validated framework for a Malaysian integrated and distributed telemedicine system. The framework was constructed so that it was capable of being useful in retrieving and storing a patient's lifetime health record continuously and seamlessly during the downtime of the computer system and the unavailability of a landline telecommunication network. The research methodology suitable for this research was identified including the verification and validation strategies. A case study approach was selected for facilitating the processes and development of this research. The empirical data regarding the Malaysian health system and telemedicine context were gathered through a case study carried out at the Ministry of Health Malaysia (MOHM). The telemedicine approach in other countries was also analysed through a literature review and was compared and contrasted with that in the Malaysian context. A critical appraisal of the collated data resulted in the development of the proposed framework (MyTel) a flexible telemedicine framework for the continuous upkeep o f patients' lifetime health records. Further data were collected through another case study (by way of a structured interview in the outpatient clinics/departments of MOHM) for developing and proposing a lifetime health record (LHR) dataset for supporting the implementation of the MyTel framework. The LHR dataset was developed after having conducted a critical analysis of the findings of the clinical consultation workflow and the usage o f patients' demographic and clinical records in the outpatient clinics. At the end of the analysis, the LHR components, LHR structures and LHR messages were created and proposed. A common LHR dataset may assist in making the proposed framework more flexible and interoperable. The first draft of the framework was validated in the three divisions of MOHM that were involved directly in the development of the National Health JCT project. The division includes the Telehealth Division, Public and Family Health Division and Planning and Development Division. The three divisions are directly involved in managing and developing the telehealth application, the teleprimary care application and the total hospital information system respectively. The feedback and responses from the validation process were analysed. The observations and suggestions made and experiences gained advocated that some modifications were essential for making the MyTel framework more functional, resulting in a revised/ final framework. The proposed framework may assist in achieving continual access to a patient's lifetime health record and for the provision of seamless and continuous care. The lifetime health record, which correlates each episode of care of an individual into a continuous health record, is the central key to delivery of the Malaysian integrated telehealth application. The important consideration, however, is that the lifetime health record should contain not only longitudinal health summary information but also the possibility of on-line retrieval of all of the patient's health history whenever required, even during the computer system's downtime and the unavailability of the landline telecommunication network

    Academic Health Science Centers and Health Disparities: A Qualitative Review of the Intervening Role of the Electronic Health Record and Social Determinants of Health

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    Literature on the magnitude of negative health outcomes from health disparities is voluminous. Defined as the health effects of racism, environmental injustice, forms of discrimination, biases in science, and sociological or socioeconomic predictors across populations, health disparities are part of an ongoing and complicated national problem that health equity programs are specifically designed to address. Academic Health Science Centers (AHC) institutions are a complex and unique educational-healthcare ecosystem that often serves as a safety net for patients in vulnerable and lower-income communities. These institutions are often viewed as one of the most uniquely positioned entities in the U.S. with an abundance of resources and networks to advance health equity as a high-impact goal and strategic imperative. Relatively little progress, however, has been made to better understand the potentially transformative nature of how digital health technologies (DHT)—such as mobile health apps, electronic health record (EHR) and electronic medical record (EMR) systems, smart ‘wearable’ devices, artificial intelligence, and machine learning—may be optimized to better capture and analyze social determinants of health (SDH) data elements in order to inform strategies to address health disparities. Even less has been explored about the challenging implementation of electronic SDH screening and data capture processes within AHCs and how they are used to better inform decisions for patient and community care. This research examines how AHC institutions, as complex education-healthcare bureaucracies, have prioritized this specific challenge amongst many other competing incentives and agendas in order to ultimately develop better evidence-based strategies to advance health equity. While there are clear moral, ethical, and clinical motives for improving health outcomes for vulnerable populations, when an AHC demonstrates that electronically screening and capturing SDH can improve the ability to understand the “upstream” factors impacting their patients\u27 health outcomes, this can inform and influence policy-level choices in government legislation directed at community-level factors. A qualitative thematic analysis of interview data from AHC administrators and leadership illustrates how AHCs have mobilized their EHR as a featured component of their healthcare delivery system to address health disparities, exposing other related, multifactorial dimensions of the Institution and region. Key findings indicated that: electronic SDH screening and updating workflow processes within an AHC’s clinical enterprise is a significant venture with multiple risks and the potential of failure. Universal adoption and awareness of SDH screening is hampered by notions of hesitancy, skepticism, and doubt as to an AHC’s ability to meaningfully extract and use the data for decision-support systems. Additional investment in resources and incentive structures for capturing SDH are needed for continued monitoring of patient health inequalities and community social factors. Data from this and future replicated studies can be used to inform AHC and government decisions around health and social protection, planning, and policy

    A Quality Protocol for a Federally Qualified Health Center: A Pilot Project

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    Federally Qualified Health Centers (FQHCs) have become a vital part of access to care for low socioeconomic status individuals. The federal government has allocated funds to be distributed to FQHCs via Medicare and Medicaid reimbursement based on insurance claims and through the Health Resources and Service Administration (HRSA) via grants and incentives based on Uniform Data System (UDS) reporting. Federally Qualified Health Centers must complete annual uniform data system (UDS) reporting on quality indicator metrics to receive grants and incentives from HRSA. The Health Resources and Service Administration (HRSA) funded health centers are expected to have ongoing quality assurance and improvement programs to improve patient care and outcomes. A local West Michigan clinic is one of a group of five clinics that qualified for FQHC status based on serving the homeless population in the area. They have been operating as a FQHC for several years, but updated to a new EHR platform in January 2016, utilizing the Athena Health EHR. The completion of an organizational assessment assisted in identifying a problem in the level of training staff members receive on the Athena Health EHR, quality indicator documentation, and UDS reporting. Creating a quality protocol that includes staff education regarding UDS reporting and electronic health record functionality has the potential to improve compliance with HRSA reporting. The Donabedian Model was utilized to view the phenomenon of interest regarding quality indicator metrics, documentation and reporting. The PARiHS framework guided the implementation of the quality indicator protocol that incorporated staff education and increased utilization of EHR functionality for improved quality documentation and reporting at this West Michigan FQHC

    The impact of an EMR on the management of adult patients with type two diabetes by family physicians in ruralnewfoundland

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    PURPOSE This study was designed to determine whether the use of advanced features of an electronic medical record in a primary care setting could improve the process of delivering diabetes care in such a way as to produce improvements in diabetic outcome measures in adult type II diabetic patients. METHODS The study was a Retrospective Cohort Study conducted in primary care clinics that had an established electronic medical record following 307 adult patients with type II diabetes over the course of two years. The clinics had similarly trained primary care physicians, similar patient populations, and used common diabetic care guidelines. The advanced EMR features used during the diabetic study included a diabetic template, premade laboratory requisitions, appeared consultations, flow sheets, and patient alerts. The dependent variables measured included the process of the delivery of diabetic care and the measurement of diabetic outcomes. The process of care measures were: the frequency of visits specific for diabetes care, ordering of HbA1c and LDL cholesterol, the measurement of blood pressure, and the documentation of these activities. The outcome measures included glycemic, lipid and blood pressure control as measured by HbA1c, LDL and blood pressure levels. The two independent variables of interest in the study were the extent to which the advanced features EMR are use by the physician and the second any changes noted in the outcome measures. RESULTS The demographic information for the patients in this study was sex and age as well as baseline HbA1c, LDL, baseline systolic blood pressures, baseline diastolic blood pressures, and the number of visits that each patient had during the study period. The two groups were seen to be similar at baseline except for age and systolic blood pressure. The mean age of the intervention group was four years older than the control group and the comparison group had more people with systolic blood pressure at target. Age and systolic blood pressure were therefore controlled in the analysis. There was no difference in the two groups of patients in terms of measurements of HbA1c but there were differences in the frequency of measurements of LDL and blood pressures. Patients for whom the template was used during at least one clinical encounter, were 1.18 times more likely to have their LDL measured and 1.9 times more likely to have their blood pressure measured. Using logistics regression analysis there was a higher proportion of patients with an LDL at target in the intervention group. CONCLUSIONS The meaningful use of EMRs in primary care, is possible through a process of maturity by design; an individualized approach looking at the needs of a given physician(s) and their practice(s) most likely to aid EMRs in achieving their potential. The technology needs to support care by automation of clinical processes and work flow behind the computer screen in such a way as to not disrupt or significantly change the patient physician interaction and focus both of these individuals on managing meaningful clinical outcomes personalized to each patient

    Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings

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    <p>Abstract</p> <p>Background</p> <p>Despite wide promotion, clinical practice guidelines have had limited effect in changing physician behavior. Effective implementation strategies to date have included: multifaceted interventions involving audit and feedback, local consensus processes, marketing; reminder systems, either manual or computerized; and interactive educational meetings. In addition, there is now growing evidence that contextual factors affecting implementation must be addressed such as organizational support (leadership procedures and resources) for the change and strategies to implement and maintain new systems.</p> <p>Methods</p> <p>To examine the feasibility and effectiveness of implementation of a computerized decision support system for depression (CDSS-D) in routine public mental health care in Texas, fifteen study clinicians (thirteen physicians and two advanced nurse practitioners) participated across five sites, accruing over 300 outpatient visits on 168 patients.</p> <p>Results</p> <p>Issues regarding computer literacy and hardware/software requirements were identified as initial barriers. Clinicians also reported concerns about negative impact on workflow and the potential need for duplication during the transition from paper to electronic systems of medical record keeping.</p> <p>Conclusion</p> <p>The following narrative report based on observations obtained during the initial testing and use of a CDSS-D in clinical settings further emphasizes the importance of taking into account organizational factors when planning implementation of evidence-based guidelines or decision support within a system.</p

    National Digital Infrastructure and India’s Healthcare Sector: Physician’s Perspectives

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    Patient-centric digital infrastructure can potentially enhance the efficiency of healthcare systems. However, even in developed nations, evidence suggests low adoption rates for such infrastructure and lack of support from clinicians is considered as one of the most critical hindering factors. In this study, we examine physicians\u27 perceptions of the proposed large-scale information technology initiative in India that aims to transform the health sector and provide universal health coverage to all residents of India. We employed the information ecology lens to understand the broader changes in the healthcare system that could result from the initiative. We use focus group discussion and in-depth interviews to comprehend the perceptions of doctors about the initiative. Drawing upon Foucault’s conceptualization of power, we find that physicians, the key stakeholders in this initiative, are skeptical about the changes in the locus of power in the new ecosystem. Specifically, they perceive that knowledge power has shifted from a historical “expert knowledge power” to power related to “data management.” The physicians believe that changes are expected to manifest through monitoring, controlling, and managing the data rather than providing knowledge-based services. We present recommendations to engage physicians\u27 perspectives in implementing large-scale patient-centric digital infrastructure

    Strategies to Mitigate Information Technology Discrepancies in Health Care Organizations

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    Medication errors increased 64.4% from 2015 to 2018 in the United States due to the use of computerized physician order entry (CPOE) systems and the inability to exchange information among health care facilities. Healthcare information exchange (HIE) and subsequent discrepancies resulted in significant medical errors due to the lack of exchangeable health care information using technology software. The purpose of this qualitative multiple case study was to explore the strategies health care business managers used to manage computerized physician order entry systems within health care facilities to reduce medication errors and increase profitability. The population of the study was 8 clinical business managers in 2 successful small health care clinics located in the mid-Atlantic region of the United States. Data were collected from semistructured interviews with health care leaders and documents from the health care organization as a resource. Inductive analysis was guided by the Donabedian theory and sociotechnical system theory, and trustworthiness of interpretations was confirmed through member checking. Three themes emerged: standardizing data formats reduced medication errors and increased profits, adopting user-friendly HIE reduced medication errors and increase profits, and efficient communication reduced medication errors and increased profits. The findings of this study contribute to positive change through improved health care delivery to patients resulting in healthier communities
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