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https://www.readbyqxmd.com/read/29351341/labeling-for-big-data-in-radiation-oncology-the-radiation-oncology-structures-ontology
#1
Jean-Emmanuel Bibault, Eric Zapletal, Bastien Rance, Philippe Giraud, Anita Burgun
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant amount of patients with a high level of clinical details, multicenter studies are necessary. A challenge in creating high quality Big Data studies involving several treatment centers is the lack of semantic interoperability between data sources...
2018: PloS One
https://www.readbyqxmd.com/read/29350512/electronic-health-record-problem-lists-accurate-enough-for-risk-adjustment
#2
Timothy J Daskivich, Garen Abedi, Sherrie H Kaplan, Douglas Skarecky, Thomas Ahlering, Brennan Spiegel, Mark S Litwin, Sheldon Greenfield
OBJECTIVES: To determine whether comorbidity information derived from electronic health record (EHR) problem lists is accurate. STUDY DESIGN: Retrospective cohort study of 1596 men diagnosed with prostate cancer between 1998 and 2004 at 2 Southern California Veterans Affairs Medical Centers with long-term follow-up. METHODS: We compared EHR problem list-based comorbidity assessment with manual review of EHR free-text notes in terms of sensitivity and specificity for identification of major comorbidities and Charlson Comorbidity Index (CCI) scores...
January 1, 2018: American Journal of Managed Care
https://www.readbyqxmd.com/read/29350510/electronic-sharing-of-diagnostic-information-and-patient-outcomes
#3
Darwyyn Deyo, Amir Khaliq, David Mitchell, Danny R Hughes
OBJECTIVES: Hospital sharing of electronic health record (EHR) diagnostic data has the potential to improve communication across providers and improve patient outcomes. However, implementing EHR systems can be difficult for hospitals. This study uses Hospital Compare (HC) and American Hospital Association (AHA) Annual Information Technology Survey data to estimate the association between sharing EHR data and patient outcomes. STUDY DESIGN: Descriptive and multivariate linear regression analyses...
January 2018: American Journal of Managed Care
https://www.readbyqxmd.com/read/29350509/measuring-overuse-with-electronic-health-records-data
#4
Thomas Isaac, Meredith B Rosenthal, Carrie H Colla, Nancy E Morden, Alexander J Mainor, Zhonghe Li, Kevin H Nguyen, Elizabeth A Kinsella, Thomas D Sequist
OBJECTIVES: To measure overuse of low-value care using electronic health record (EHR) data and manual chart review and to evaluate whether certain low-value services are better captured using EHR data. STUDY DESIGN: We implemented algorithms to extract performance on 13 Choosing Wisely-identified healthcare services using EHR data at a large physician practice group between 2011 and 2013. METHODS: We calculated rates of overuse using automated EHR extracts...
January 2018: American Journal of Managed Care
https://www.readbyqxmd.com/read/29350506/electronic-health-record-super-users-and-under-users-in-ambulatory-care-practices
#5
Juliet Rumball-Smith, Paul Shekelle, Cheryl L Damberg
OBJECTIVES: This study explored variation in the extent of use of electronic health record (EHR)-based health information technology (IT) functionalities across US ambulatory care practices. Use of health IT functionalities in ambulatory care is important for delivering high-quality care, including that provided in coordination with multiple practitioners. STUDY DESIGN: We used data from the 2014 Healthcare Information and Management Systems Society Analytics survey...
January 2018: American Journal of Managed Care
https://www.readbyqxmd.com/read/29350222/a-prescription-for-note-bloat-an-effective-progress-note-template
#6
Daniel Khan, Elizabeth Stewart, Mark Duncan, Edward Lee, Wendy Simon, Clement Lee, Jodi Friedman, Hilary Mosher, Katherine Harris, John Bell, Bradley Sharpe, Neveen El-Farra
BACKGROUND: United States hospitals have widely adopted electronic health records (EHRs). Despite the potential for EHRs to increase efficiency, there is concern that documentation quality has suffered. OBJECTIVE: To examine the impact of an educational session bundled with a progress note template on note quality, length, and timeliness. DESIGN: A multicenter, nonrandomized prospective trial. SETTING: Four academic hospitals across the United States...
January 19, 2018: Journal of Hospital Medicine: An Official Publication of the Society of Hospital Medicine
https://www.readbyqxmd.com/read/29346063/linking-data-from-health-surveys-and-electronic-health-records-a-demonstration-project-in-two-chicago-health-center-clinics
#7
Fikirte Wagaw, Catherine A Okoro, Sunkyung Kim, Jessica Park, Fred Rachman
INTRODUCTION: Monitoring and understanding population health requires conducting health-related surveys and surveillance. The objective of our study was to assess whether data from self-administered surveys could be collected electronically from patients in urban, primary-care, safety-net clinics and subsequently linked and compared with the same patients' electronic health records (EHRs). METHODS: Data from self-administered surveys were collected electronically from a convenience sample of 527 patients at 2 Chicago health centers from September through November, 2014...
January 18, 2018: Preventing Chronic Disease
https://www.readbyqxmd.com/read/29345553/quality-and-variability-of-patient-directions-in-electronic-prescriptions-in-the-ambulatory-care-setting
#8
Yuze Yang, Stacy Ward-Charlerie, Ajit A Dhavle, Michael T Rupp, James Green
BACKGROUND: The prescriber's directions to the patient (Sig) are one of the most quality-sensitive components of a prescription order. Owing to their free-text format, the Sig data that are transmitted in electronic prescriptions (e-prescriptions) have the potential to produce interpretation challenges at receiving pharmacies that may threaten patient safety and also negatively affect medication labeling and patient counseling. Ensuring that all data transmitted in the e-prescription are complete and unambiguous is essential for minimizing disruptions in workflow at prescribers' offices and receiving pharmacies and optimizing the safety and effectiveness of patient care...
January 18, 2018: Journal of Managed Care & Specialty Pharmacy
https://www.readbyqxmd.com/read/29345356/ethical-and-practical-considerations-in-the-use-of-a-predictive-model-to-trigger-suicide-prevention-interventions-in-healthcare-settings
#9
Raymond P Tucker, Meredith J Tackett, David Glickman, Mark A Reger
Predictive models that utilize data from electronic healthcare records (EHR) have been developed, investigated, and appear to provide an important resource for suicide prevention in medical settings. Actuarial approaches to predicting suicide may be particularly important given the relative inability of clinicians to accurately predict suicide. Although research regarding predictive models that utilize EHR is certainly promising, ethical considerations for the use of these models to trigger suicide prevention interventions warrant careful consideration...
January 18, 2018: Suicide & Life-threatening Behavior
https://www.readbyqxmd.com/read/29343412/implementing-genome-driven-personalized-cardiology-in-clinical-practice
#10
REVIEW
Ares Pasipoularides
Genomics designates the coordinated investigation of a large number of genes in the context of a biological process or disease. It may be long before we attain comprehensive understanding of the genomics of common complex cardiovascular diseases (CVDs) such as inherited cardiomyopathies, valvular diseases, primary arrhythmogenic conditions, congenital heart syndromes, hypercholesterolemia and atherosclerotic heart disease, hypertensive syndromes, and heart failure with preserved/reduced ejection fraction. Nonetheless, as genomics is evolving rapidly, it is constructive to survey now pertinent concepts and breakthroughs...
January 14, 2018: Journal of Molecular and Cellular Cardiology
https://www.readbyqxmd.com/read/29342479/time-spent-on-dedicated-patient-care-and-documentation-tasks-before-and-after-the-introduction-of-a-structured-and-standardized-electronic-health-record
#11
Erik Joukes, Ameen Abu-Hanna, Ronald Cornet, Nicolette F de Keizer
BACKGROUND:  Physicians spend around 35% of their time documenting patient data. They are concerned that adopting a structured and standardized electronic health record (EHR) will lead to more time documenting and less time for patient care, especially during consultations. OBJECTIVE:  This study measures the effect of the introduction of a structured and standardized EHR on documentation time and time for dedicated patient care during outpatient consultations...
January 2018: Applied Clinical Informatics
https://www.readbyqxmd.com/read/29342478/design-and-implementation-of-a-visual-analytics-electronic-antibiogram-within-an-electronic-health-record-system-at-a-tertiary-pediatric-hospital
#12
Allan F Simpao, Luis M Ahumada, Beatriz Larru Martinez, Ana M Cardenas, Talene A Metjian, Kaede V Sullivan, Jorge A Gálvez, Bimal R Desai, Mohamed A Rehman, Jeffrey S Gerber
BACKGROUND:  Hospitals use antibiograms to guide optimal empiric antibiotic therapy, reduce inappropriate antibiotic usage, and identify areas requiring intervention by antimicrobial stewardship programs. Creating a hospital antibiogram is a time-consuming manual process that is typically performed annually. OBJECTIVE:  We aimed to apply visual analytics software to electronic health record (EHR) data to build an automated, electronic antibiogram ("e-antibiogram") that adheres to national guidelines and contains filters for patient characteristics, thereby providing access to detailed, clinically relevant, and up-to-date antibiotic susceptibility data...
January 2018: Applied Clinical Informatics
https://www.readbyqxmd.com/read/29342435/the-2016-american-academy-of-ophthalmology-iris%C3%A2-registry-intelligent-research-in-sight-database-characteristics-and-methods
#13
Michael F Chiang, Alfred Sommer, William L Rich, Flora Lum, David W Parke
PURPOSE: To describe the characteristics of the patient population included in the 2016 IRIS® Registry (Intelligent Research in Sight) database for analytic aims. DESIGN: Description of a clinical data registry. PARTICIPANTS: The 2016 IRIS Registry database consists of 17 363 018 unique patients from 7200 United States-based ophthalmologists in the United States. METHODS: Electronic health record (EHR) data were extracted from the participating practices and placed into a clinical database...
January 13, 2018: Ophthalmology
https://www.readbyqxmd.com/read/29334514/monitoring-depression-rates-in-an-urban-community-use-of-electronic-health-records
#14
Arthur J Davidson, Stanley Xu, Carlos Irwin A Oronce, M Josh Durfee, Emily V McCormick, John F Steiner, Edward Havranek, Arne Beck
OBJECTIVES: Depression is the most common mental health disorder and mediates outcomes for many chronic diseases. Ability to accurately identify and monitor this condition, at the local level, is often limited to estimates from national surveys. This study sought to compare and validate electronic health record (EHR)-based depression surveillance with multiple data sources for more granular demographic subgroup and subcounty measurements. DESIGN/SETTING: A survey compared data sources for the ability to provide subcounty (eg, census tract [CT]) depression prevalence estimates...
January 12, 2018: Journal of Public Health Management and Practice: JPHMP
https://www.readbyqxmd.com/read/29333271/childhood-asthma-prevalence-cross-sectional-record-linkage-study-comparing-parent-reported-wheeze-with-general-practitioner-recorded-asthma-diagnoses-from-primary-care-electronic-health-records-in-wales
#15
Lucy J Griffiths, Ronan A Lyons, Amrita Bandyopadhyay, Karen S Tingay, Suzanne Walton, Mario Cortina-Borja, Ashley Akbari, Helen Bedford, Carol Dezateux
Introduction: Electronic health records (EHRs) are increasingly used to estimate the prevalence of childhood asthma. The relation of these estimates to those obtained from parent-reported wheezing suggestive of asthma is unclear. We hypothesised that parent-reported wheezing would be more prevalent than general practitioner (GP)-recorded asthma diagnoses in preschool-aged children. Methods: 1529 of 1840 (83%) Millennium Cohort Study children registered with GPs in the Welsh Secure Anonymised Information Linkage databank were linked...
2018: BMJ Open Respiratory Research
https://www.readbyqxmd.com/read/29331259/public-and-physician-s-expectations-and-ethical-concerns-about-electronic-health-record-benefits-outweigh-risks-except-for-information-security
#16
Eleni Entzeridou, Evgenia Markopoulou, Vasiliki Mollaki
INTRODUCTION: Electronic Health Record systems (EHRs) offer numerous benefits in health care but also pose certain risks. As we progress toward the implementation of EHRs, a more in-depth understanding of attitudes that influence overall levels of EHR support is required. OBJECTIVES: To record public and physicians' awareness, expectations for, and ethical concerns about the use of EHRs. METHODS: A convenience sample was surveyed for both the public and physicians...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29331252/investigating-the-need-for-clinicians-to-use-tablet-computers-with-a-newly-envisioned-electronic-health-record
#17
Jason J Saleem, April Savoy, Gale Etherton, Jennifer Herout
OBJECTIVE: The Veterans Health Administration (VHA) has deployed a large number of tablet computers in the last several years. However, little is known about how clinicians may use these devices with a newly planned Web-based electronic health record (EHR), as well as other clinical tools. The objective of this study was to understand the types of use that can be expected of tablet computers versus desktops. METHODS: Semi-structured interviews were conducted with 24 clinicians at a Veterans Health Administration (VHA) Medical Center...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29331251/bridging-clinical-researcher-perceptions-and-health-it-realities-a-case-study-of-stakeholder-creep
#18
Daniel J Panyard, Edmond Ramly, Shannon M Dean, Christie M Bartels
PURPOSE: We present a case report detailing a challenge in health information technology (HIT) project implementations we term "stakeholder creep": not thoroughly identifying which stakeholders need to be involved and why before starting a project, consequently not understanding the true effort, skill sets, social capital, and time required to complete the project. METHODS: A root cause analysis was performed post-implementation to understand what led to stakeholder creep...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29331250/inferred-joint-multigram-models-for-medical-term-normalization-according-to-icd
#19
Alicia Pérez, Aitziber Atutxa, Arantza Casillas, Koldo Gojenola, Álvaro Sellart
BACKGROUND: Electronic Health Records (EHRs) are written using spontaneous natural language. Often, terms do not match standard terminology like the one available through the International Classification of Diseases (ICD). OBJECTIVE: Information retrieval and exchange can be improved using standard terminology. Our aim is to render diagnostic terms written in spontaneous language in EHRs into the standard framework provided by the ICD. METHODS: We tackle diagnostic term normalization employing Weighted Finite-State Transducers (WFSTs)...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29329702/ten-factors-to-consider-when-developing-usability-scenarios-and-tasks-for-health-information-technology
#20
Alissa L Russ, Jason J Saleem
The quality of usability testing is highly dependent upon the associated usability scenarios. To promote usability testing as part of electronic health record (EHR) certification, the Office of the National Coordinator (ONC) for Health Information Technology requires that vendors test specific capabilities of EHRs with clinical end-users and report their usability testing process - including the test scenarios used - along with the results. The ONC outlines basic expectations for usability testing, but there is little guidance in usability texts or scientific literature on how to develop usability scenarios for healthcare applications...
January 9, 2018: Journal of Biomedical Informatics
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