personal electronic medical record

BACKGROUND: COVID-19 vaccination and shielding targeted hypertensive patients in low and middle income countries. We describe the COVID-19 experiences of hypertensive patients in Colombia and Jamaica and discuss factors associated with vaccine acceptance. METHODS: A cross-sectional study was conducted between December 2021 and February 2022 in 4 randomly selected primary care clinics in Colombia and 10 primary care clinics in Jamaica. Participants in Colombia were randomly selected from an electronic medical record...

PURPOSE: Screening guidelines for breast cancer (BC) in transgender male (TM) patients are not well defined. This study describes referral patterns and compliance with referral for BC screening among TM patients receiving care at a tertiary care center. METHODS: This was a retrospective cohort study of TM patients, 40-74 years of age, presenting for care between 2017 and 2020. The electronic medical record was queried for medical history and cancer screening data...

BACKGROUND: Communication failures are among the most common causes of harmful medical errors. At one Comprehensive Cancer Center, patient handoffs varied among services. The authors describe the implementation and results of an Organization-wide project to improve handoffs and implement an evidence-based handoff tool across all inpatient services. METHODS: The research team created a task force composed of members from 22 hospital services-advanced practice providers (APPs), trainees, some faculty members, electronic health record (EHR) staff, education and training specialists, and nocturnal providers...

BACKGROUND: Over the past two decades, Canadian provinces and territories have introduced a series of primary care reforms in an attempt to improve access to and quality of primary care services, resulting in diverse organizational structures and practice models. We examine the impact of these reforms on family physicians' (FPs) ability to adapt their roles during the COVID-19 pandemic, including the provision of routine primary care. METHODS: As part of a larger case study, we conducted semi-structured qualitative interviews with FPs in four Canadian regions: British Columbia, Newfoundland and Labrador, Nova Scotia, and Ontario...

In the past 2 decades, health care has witnessed technological and pharmacological advancements leading to innovations in diabetes management. Despite these advances, published guidelines, and treatment algorithms, most people with diabetes remain above glycemic targets. Thus, the authors designed a novel care model aimed at improving several causative factors, including therapeutic inertia, limited access to endocrinology and cardiovascular specialists, time constraints, and complexity in incorporating clinical practice guidelines...

INTRODUCTION: Social risk factors such as food insecurity and lack of transportation can negatively affect health outcomes, yet implementation of screening and referral for social risk factors is limited in medical settings, particularly in cancer survivorship. METHODS: We conducted 18 qualitative, semistructured interviews among oncology teams in 3 health systems in Washington, DC, during February and March 2022. We applied the Exploration, Preparation, Implementation, Sustainment Framework to develop a deductive codebook, performed thematic analysis on the interview transcripts, and summarized our results descriptively...

BACKGROUND: Persistent low-level viraemia (PLLV) is a risk factor for virologic failure among people receiving antiretroviral therapy (ART). OBJECTIVES: We assessed the prevalence and predictors of PLLV among individuals receiving Dolutegravir-based ART in southern Nigeria. DESIGN: This retrospective cohort study used routine program data from electronic medical records of persons receiving Dolutegravir-based first-line ART in 154 PEPFAR/USAID-supported health facilities in Akwa Ibom and Cross Rivers states, Nigeria...

OBJECTIVE: To formulate a prognostication model in the early post-operation phase of lower limb amputation to predict patient's ability to ambulate with a prosthesis post rehabilitation. DESIGN: Retrospective cohort study, using data collected from electronic medical records. Predictive factors and prosthetic ambulation outcomes post rehabilitation were used to develop prognostic models via machine learning techniques. SETTING: Regional hospital's ambulatory rehabilitation clinic...

PURPOSE: Adult day services (ADS) are a valuable resource for people living with Alzheimer's disease and Alzheimer's disease and related dementias (AD/ADRD) and serve a large population of late-life immigrants, often with limited English proficiency (LEP). This secondary data analysis examined potential disparities in diagnosis, dementia severity, medical complexity, and dementia-related behavioral problems in persons with AD/ADRD with LEP within the ADS setting. METHOD: The current study used data from TurboTAR, the electronic health record for ADS in California...

BACKGROUND: The rehabilitation of a patient who had a stroke requires precise, personalized treatment plans. Natural language processing (NLP) offers the potential to extract valuable exercise information from clinical notes, aiding in the development of more effective rehabilitation strategies. OBJECTIVE: This study aims to develop and evaluate a variety of NLP algorithms to extract and categorize physical rehabilitation exercise information from the clinical notes of patients who had a stroke treated at the University of Pittsburgh Medical Center...

BACKGROUND: Research on influenza burden in adults has focused on crude subgroups with cut-points at 65-years, limiting insight into how burden varies with increasing age. This study describes the incidence of influenza-related outpatient visits, emergency room (ER) visits, and hospitalizations, along with healthcare resource use and complications in the aging adult population. METHODS: Individuals ≥18 years of age in the United States were evaluated retrospectively in five seasonal cohorts (2015-2020 seasons) in strata of age with 5-year increments...

BACKGROUND: The US Department of Veterans Affairs (VA) Community Nursing Home (CNH) program provides in-person oversight monitoring the quality of care of veterans in VA-contracted community-based skilled nursing homes. The number of veterans receiving CNH care is projected to increase by 80% by 2037. METHODS: Retrospective observational data describing the distance between contracted facilities and VA medical centers (VAMCs) were linked to Centers for Medicare and Medicaid monthly Nursing Home Compare and Brown University Long Term Care: Facts on Care in the US data...

BACKGROUND: Migraine is a leading cause of disability, estimated to affect one-in-ten people in Spain. This study aimed to describe the management of migraine in Spain and identify improvement areas. METHODS: Non-interventional, retrospective, cross-sectional cohort study conducted using an electronic medical records database covering visits to public healthcare providers for 3% of the Spanish population. Patients with a migraine diagnosis (ICD-9 346) between 01/2015 and 04/2022 were included, as well as their demographic and clinical characteristics, prescribed migraine treatments and the specialty of the prescribing physicians...

BACKGROUND: Efforts to reduce the heterogeneity of major depressive disorder (MDD) by identifying subtypes have not yet facilitated treatment personalization or investigation of biology, so novel approaches merit consideration. METHODS: We utilized electronic health records drawn from 2 academic medical centers and affiliated health systems in Massachusetts to identify data-driven subtypes of MDD, characterizing sociodemographic features, comorbid diagnoses, and treatment patterns...

BACKGROUND: Pre-travel consultation and chemoprophylaxis measures for malaria are a key component in the prevention of imported malaria in travelers. In this study we report a predictive tool for assessing personalized malaria risk in travelers based on the analysis of electronic medical records from travel consultations. The tool aims to guide physicians in the recommendation of appropriate prophylaxis prior to their trip. We also provide best-practice recommendations for pre-processing noisy and highly sparse real world evidence data...

OBJECTIVES: Patient care using genetics presents complex challenges. Clinical decision support (CDS) tools are a potential solution because they provide patient-specific risk assessments and/or recommendations at the point of care. This systematic review evaluated the literature on CDS systems which have been implemented to support genetically guided precision medicine (GPM). MATERIALS AND METHODS: A comprehensive search was conducted in MEDLINE and Embase, encompassing January 1, 2011-March 14, 2023...

Healthcare organizations have realized that Artificial intelligence (AI) can provide a competitive edge through personalized patient experiences, improved patient outcomes, early diagnosis, augmented clinician capabilities, enhanced operational efficiencies, or improved medical service accessibility. However, deploying AI-driven tools in the healthcare ecosystem could be challenging. This paper categorizes AI applications in healthcare and comprehensively examines the challenges associated with deploying AI in medical practices at scale...

BACKGROUND: Nowadays, especially after the COVID-19 pandemic, electronic learning (eLearning) has become a necessity in education. eLearning can be either synchronous, where classes are conducted in real-time, or asynchronous, where students can access the class material at any time. Student-instructor interaction has become essential to the educational process. In the literature, most studies have focused on the preferred methods of eLearning and the barriers to interaction in eLearning...

BACKGROUND: Histopathology remains the gold standard for diagnosing and staging metabolic dysfunction-associated steatotic liver disease (MASLD). The feasibility of studying MASLD progression in electronic medical records based on histological features is limited by the free-text nature of pathology reports. Here we introduce a natural language processing (NLP) algorithm to automatically score MASLD histology features. METHODS: From the Mass General Brigham health care system electronic medical record, we identified all patients (1987-2021) with steatosis on index liver biopsy after excluding excess alcohol use and other etiologies of liver disease...

BACKGROUND: Operating safely throughout the coronavirus disease 2019 (COVID-19) pandemic has required surgical centers to adapt and raise their level of readiness. Intuitively, additional expenses related to such adaptation may have resulted in an increase in the cost of surgical care. However, little is known about the magnitude of such an increase, and no study has evaluated the temporal variation in the costs of care throughout the pandemic. The aim of the current study was to evaluate the impact of COVID-19 on the cost of surgical and anesthetic care in a free-standing, pediatric ambulatory care center...