Physicians spend a large portion of their time documenting patient encounters using electronic health records (EHRs). Meaningful Use guidelines have made EHR systems widespread, but they have not been shown to save time. This study compared the time required to complete an emergency department note in two different EHR systems for three separate video-recorded standardized simulated patient encounters.
As healthcare systems continue to expand their use of electronic health records (EHRs), barriers to robust and successful engagement with such systems by stakeholders remain tenacious. To this effect, this research presents the results of a survey tool utilizing both original and modified constructs from the Consolidated Framework for Implementation Research to assess key points of engagement barriers and potential points of intervention for stakeholders of EHRs in a large-scale healthcare organization (500-bed level II regional trauma center).
This case report describes an integrative oncology center’s selection of an electronic health record system. The goal is to provide a process framework for community integrative cancer care centers engaging in the selection of an oncology-focused system. A core team of experts from the practice assessed needs, held formative meetings, identified a set of candidate vendors to present, and held summative assessment meetings to select the product.
The prevalence of prediabetes continues to grow in the United States. Our study aimed to determine the accuracy of a population health approach that applies an algorithm to electronic health data at identifying patients with undiagnosed prediabetes. We conducted a cross-sectional study among patients receiving care at the Miami VA Healthcare System.
This study analyzed a large database of medical malpractice claims, focusing on allergy cases involving allergy health information systems that resulted in patients’ harm. The study consisted of a retrospective descriptive cohort analysis of malpractice claims in a large malpractice case repository representing about 30 percent of all the malpractice cases filed in the United States.
Electronic medical record (EMR) templates may improve care of fibromyalgia patients and make more efficient use of clinician time. The goal of this study was to develop and assess a protocol for fibromyalgia treatment through the use of EMR templates.
Social determinants of health (SDH) influence clinical outcomes. Our study explores barriers and facilitators for the integration of SDH into the electronic health record (EHR) system of a large diverse healthcare system in South Florida.
Many factors are involved when a physician or health system chooses to switch electronic health record vendors. Reasons for change include system functionality, high cost, poor customer service, company reputation, platform of software, and Meaningful Use certification, among others. The purpose of this review was to identify from the literature the various reasons that lead to switching vendors and the barriers and benefits associated with doing so.
Providing efficient, accurate, and timely patient health information is the overriding aim of an electronic health record (EHR) documentation system. As new technologies evolve and regulatory requirements continue to change, administrators who find limitations in earlier iterations of EHR systems may need to rethink existing systems and processes.
The dynamics and progress of the integration of the electronic health record (EHR) into healthcare disciplines have been described and examined using theories related to technology adoption. Previous studies have examined healthcare clinician resistance to the EHR in primary care, hospital, and urgent care medical settings, but few studies have been completed that pertain specifically to behavioral healthcare clinicians.
The aim of this study was to survey podiatric residency directors to evaluate the proficiency of first-year podiatric medical residents in the use of electronic medical records and its potential impact on medical care.
When electronic health record (EHR) data are used, multiple approaches may be available for measuring the same variable, introducing potentially confounding factors. While additional information may be gleaned and residual confounding reduced through resource-intensive assessment methods such as natural language processing (NLP), whether the added benefits offset the added cost of the additional resources is not straightforward.
