The Experts below are selected from a list of 85710 Experts worldwide ranked by ideXlab platform
Maya Hammoud - One of the best experts on this subject based on the ideXlab platform.
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unit based simulation for training residents on a new Electronic Health Record
Obstetrics & Gynecology, 2015Co-Authors: David Marzano, Roger Smith, Isabel Greenfield, Julia Hammoud, Erin Beene, Maya HammoudAbstract:Objective: To determine if a unit-based simulated experience provides a meaningful learning experience for residents prior to the implementation of a new Electronic Health Record (EHR). Methods: IRB exemption was obtained. Faculty (OB, Family Medicine, CNM), residents (OB, Family Med), and nurses participated in 64 simulations over a 4week period. A simulation scenario, utilizing birthing simulators was designed taking a patient from admission through labor, delivery, postpartum hemorrhage, and discharge. Participants performed actual clinical actions and charted all items in a training environment of the actual Electronic Health Record. Nurses in parallel completed their charting, notes and order completion on the same patient at the same time. Each session lasted for 2-hours including a 10-minute brief, 80-minutes of simulation, and 30minutes of team debrief. Participants completed a survey regarding their experience.
Luke V. Rasmussen - One of the best experts on this subject based on the ideXlab platform.
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The Electronic Health Record for Translational Research
Journal of Cardiovascular Translational Research, 2014Co-Authors: Luke V. RasmussenAbstract:With growing adoption and use, the Electronic Health Record (EHR) represents a rich source of clinical data that also offers many benefits for secondary use in biomedical research. Such benefits include access to a more comprehensive medical history, cost reductions, and increased efficiency in conducting research, as well as opportunities to evaluate new and expanded populations for sufficient statistical power. Existing work utilizing EHR data has uncovered some complexities and considerations for their use but, more importantly, has also generated practical lessons and solutions. Given an understanding of EHR data use in cardiovascular research, expanded adoption of this data source offers great potential to further transform the research landscape.
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Practical challenges in integrating genomic data into the Electronic Health Record
Genetics in Medicine, 2013Co-Authors: Abel N. Kho, Luke V. Rasmussen, John J. Connolly, Peggy L. Peissig, Justin Starren, Hakon Hakonarson, M. Geoffrey HayesAbstract:Genetic testing has had limited impact on routine clinical care. Widespread adoption of Electronic Health Records presents a promising means of disseminating genetic testing into diverse care settings. Practical challenges to integration of genomic data into Electronic Health Records include size and complexity of genetic test results, inadequate use of standards for clinical and genetic data, and limitations in Electronic Health Record capacity to store and analyze genetic data. Related challenges include uncertainty in the interpretation of regulatory requirements for return of results, and privacy concerns specific to genetic testing. Successful integration of genomic data may require significant redesign of existing Electronic Health Record systems. Genet Med 15 10, 772–778.
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Practical challenges in integrating genomic data into the Electronic Health Record
Genetics in medicine : official journal of the American College of Medical Genetics, 2013Co-Authors: Abel N. Kho, Luke V. Rasmussen, John J. Connolly, Peggy L. Peissig, Justin Starren, Hakon Hakonarson, M. Geoffrey HayesAbstract:Genetic testing has had limited impact on routine clinical care. Widespread adoption of Electronic Health Records presents a promising means of disseminating genetic testing into diverse care settings. Practical challenges to integration of genomic data into Electronic Health Records include size and complexity of genetic test results, inadequate use of standards for clinical and genetic data, and limitations in Electronic Health Record capacity to store and analyze genetic data. Related challenges include uncertainty in the interpretation of regulatory requirements for return of results, and privacy concerns specific to genetic testing. Successful integration of genomic data may require significant redesign of existing Electronic Health Record systems.
Elizabeth A. Rechtsteiner - One of the best experts on this subject based on the ideXlab platform.
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physician adoption of Electronic Health Record systems united states 2011
NCHS data brief, 2012Co-Authors: Eric Jamoom, Paul Beatty, Anita Bercovitz, David A. Woodwell, Kathleen Palso, Elizabeth A. RechtsteinerAbstract:U.S. DEP One goal of the federal 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act is to advance the use of Health information technology by providing Medicare and Medicaid incentives to physicians and hospitals that adopt and demonstrate “meaningful use” (MU) of Electronic Health Record (EHR) systems (1,2). This report presents a nationally representative profile of physician use of EHR systems.
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Physician adoption of Electronic Health Record systems: United States, 2011.
NCHS data brief, 2012Co-Authors: Eric Jamoom, Paul Beatty, Anita Bercovitz, David A. Woodwell, Kathleen Palso, Elizabeth A. RechtsteinerAbstract:Data from the 2011 Physician Workflow study In 2011, 55% of physicians had adopted an Electronic Health Record (EHR) system. About three-quarters of physicians who have adopted an EHR system reported that their system meets federal "meaningful use" criteria. Eighty-five percent of physicians who have adopted an EHR system reported being somewhat (47%) or very (38%) satisfied with their system. About three-quarters of adopters reported that using their EHR system resulted in enhanced patient care. Nearly one-half of physicians currently without an EHR system plan to purchase or use one already purchased within the next year.
Jonathan Pell - One of the best experts on this subject based on the ideXlab platform.
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Optimizing the Electronic Health Record: An inpatient sprint addresses provider burnout and improves Electronic Health Record satisfaction.
Journal of the American Medical Informatics Association : JAMIA, 2020Co-Authors: Jennifer Simpson, Chen-tan Lin, Amber Sieja, Stefan Sillau, Jonathan PellAbstract:Objective We sought reduce Electronic Health Record (EHR) burden on inpatient clinicians with a 2-week EHR optimization sprint. Materials and methods A team led by physician informaticists worked with 19 advanced practice providers (APPs) in 1 specialty unit. Over 2 weeks, the team delivered 21 EHR changes, and provided 39 one-on-one training sessions to APPs, with an average of 2.8 hours per provider. We measured Net Promoter Score, thriving metrics, and time spent in the EHR based on user log data. Results Of the 19 APPs, 18 completed 2 or more sessions. The EHR Net Promoter Score increased from 6 to 60 postsprint (1.0; 95% confidence interval, 0.3-1.8; P = .01). The NPS for the Sprint itself was 93, a very high rating. The 3-axis emotional thriving, emotional recovery, and emotional exhaustion metrics did not show a significant change. By user log data, time spent in the EHR did not show a significant decrease; however, 40% of the APPs responded that they spent less time in the EHR. Conclusions This inpatient sprint improved satisfaction with the EHR.
David Marzano - One of the best experts on this subject based on the ideXlab platform.
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unit based simulation for training residents on a new Electronic Health Record
Obstetrics & Gynecology, 2015Co-Authors: David Marzano, Roger Smith, Isabel Greenfield, Julia Hammoud, Erin Beene, Maya HammoudAbstract:Objective: To determine if a unit-based simulated experience provides a meaningful learning experience for residents prior to the implementation of a new Electronic Health Record (EHR). Methods: IRB exemption was obtained. Faculty (OB, Family Medicine, CNM), residents (OB, Family Med), and nurses participated in 64 simulations over a 4week period. A simulation scenario, utilizing birthing simulators was designed taking a patient from admission through labor, delivery, postpartum hemorrhage, and discharge. Participants performed actual clinical actions and charted all items in a training environment of the actual Electronic Health Record. Nurses in parallel completed their charting, notes and order completion on the same patient at the same time. Each session lasted for 2-hours including a 10-minute brief, 80-minutes of simulation, and 30minutes of team debrief. Participants completed a survey regarding their experience.
