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https://www.readbyqxmd.com/read/28665785/informatics-for-health-2017-advancing-both-science-and-practice
#1
Philip J Scott, Ronald Cornet, Colin McCowan, Niels Peek, Paolo Fraccaro, Nophar Geifman, Wouter T Gude, William Hulme, Glen P Martin, Richard Williams
INTRODUCTION: The Informatics for Health congress, 24-26 April 2017, in Manchester, UK, brought together the Medical Informatics Europe (MIE) conference and the Farr Institute International Conference. This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress. DISCUSSION: The twin programmes of "Big Data" and "Digital Health" are not always joined up by coherent policy and investment priorities...
April 21, 2017: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28645319/architectural-frameworks-defining-the-structures-for-implementing-learning-health-systems
#2
Lysanne Lessard, Wojtek Michalowski, Michael Fung-Kee-Fung, Lori Jones, Agnes Grudniewicz
BACKGROUND: The vision of transforming health systems into learning health systems (LHSs) that rapidly and continuously transform knowledge into improved health outcomes at lower cost is generating increased interest in government agencies, health organizations, and health research communities. While existing initiatives demonstrate that different approaches can succeed in making the LHS vision a reality, they are too varied in their goals, focus, and scale to be reproduced without undue effort...
June 23, 2017: Implementation Science: IS
https://www.readbyqxmd.com/read/28640036/a-constructive-reframing-of-student-roles-and-systems-learning-in-medical-education-using-a-communities-of-practice-lens
#3
Jed D Gonzalo, Britta M Thompson, Paul Haidet, Karen Mann, Daniel R Wolpaw
Health systems are in the midst of a transformation that is being driven by a variety of forces. This has important implications for medical educators because clinical practice environments play a key role in learning and professional development, and evolving health systems are beginning to demand that providers have "systems-ready" knowledge, attitudes, and skills. Such implications provide a clear mandate for medical schools to modify their goals and prepare physicians to practice flexibly within teams and effectively contribute to the improvement of health care delivery...
June 20, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28628584/distributed-data-networks-that-support-public-health-information-needs
#4
David C Tabano, Elizabeth Cole, Erin Holve, Arthur J Davidson
INTRODUCTION: Data networks, consisting of pooled electronic health data assets from health care providers serving different patient populations, promote data sharing, population and disease monitoring, and methods to assess interventions. Better understanding of data networks, and their capacity to support public health objectives, will help foster partnerships, expand resources, and grow learning health systems. METHODS: We conducted semistructured interviews with 16 key informants across the United States, identified as network stakeholders based on their respective experience in advancing health information technology and network functionality...
June 16, 2017: Journal of Public Health Management and Practice: JPHMP
https://www.readbyqxmd.com/read/28617013/the-role-of-policy-in-supporting-clinician-led-research-on-behavioral-health-integration
#5
Nathaniel Z Counts
In Best Care at Lower Cost, the Institute of Medicine laid out a vision for continuously learning health systems (Institute of Medicine of the National Academies, 2016). This issue of Families, Systems, & Health represents a substantial step toward this vision, with on-the-ground clinicians and administrators testing empirically informed hypotheses about practice transformation and population health management, and using those results to produce shared learning within and across systems. While the studies in this issue demonstrate that producing generalizable knowledge from clinician-led initiatives is feasible, they also demonstrate that the current system does not adequately support clinicians in doing so...
June 2017: Families, Systems & Health: the Journal of Collaborative Family Healthcare
https://www.readbyqxmd.com/read/28614083/pain-catastrophizing-moderates-relationships-between-pain-intensity-and-opioid-prescription-nonlinear-sex-differences-revealed-using-a-learning-health-system
#6
Yasamin Sharifzadeh, Ming-Chih Kao, John A Sturgeon, Thomas J Rico, Sean Mackey, Beth D Darnall
BACKGROUND: Pain catastrophizing is a maladaptive response to pain that amplifies chronic pain intensity and distress. Few studies have examined how pain catastrophizing relates to opioid prescription in outpatients with chronic pain. METHODS: The authors conducted a retrospective observational study of the relationships between opioid prescription, pain intensity, and pain catastrophizing in 1,794 adults (1,129 women; 63%) presenting for new evaluation at a large tertiary care pain treatment center...
July 2017: Anesthesiology
https://www.readbyqxmd.com/read/28578074/ethics-and-subsequent-use-of-electronic-health-record-data
#7
Lisa M Lee
The digital health landscape in the United States is evolving and electronic health record data hold great promise for improving health and health equity. Like many scientific and technological advances in health and medicine, there exists an exciting narrative about what we can do with the new technology, as well as reflection about what we should do with it based on what we value. Ethical reflections about the use of EHR data for research and quality improvement have considered the important issues of privacy and informed consent for subsequent use of data...
July 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28537812/perspectives-of-patients-with-cancer-on-the-ethics-of-rapid-learning-health-systems
#8
Reshma Jagsi, Kent A Griffith, Aaron Sabolch, Rochelle Jones, Rebecca Spence, Raymond De Vries, David Grande, Angela R Bradbury
Purpose To inform the evolving implementation of CancerLinQ and other rapid-learning systems for oncology care, we sought to evaluate perspectives of patients with cancer regarding ethical issues. Methods Using the GfK Group online research panel, representative of the US population, we surveyed 875 patients with cancer; 621 (71%) responded. We evaluated perceptions of appropriateness (scored from 1 to 10; 10, very appropriate) using scenarios and compared responses by age, race, and education. We constructed a scaled measure of comfort with secondary use of deidentified medical information and evaluated its correlates in a multivariable model...
July 10, 2017: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28515960/patient-centered-network-of-learning-health-systems-developing-a-resource-for-clinical-translational-research
#9
L J Finney Rutten, A Alexander, P J Embi, G Flores, C Friedman, I V Haller, P Haug, D Jensen, S Khosla, G Runger, N D Shah, T Winden, V L Roger
INTRODUCTION: The Learning Health System Network clinical data research network includes academic medical centers, health-care systems, public health departments, and health plans, and is designed to facilitate outcomes research, pragmatic trials, comparative effectiveness research, and evaluation of population health interventions. METHODS: The Learning Health System Network is 1 of 13 clinical data research networks assembled to create, in partnership with 20 patient-powered research networks, a National Patient-Centered Clinical Research Network...
February 2017: Journal of clinical and translational science
https://www.readbyqxmd.com/read/28514917/advancing-health-care-quality-and-safety-through-action-learning
#10
Simon Mathews, Sherita Golden, Renee Demski, Peter Pronovost, Lisa Ishii
Purpose The purpose of this study is to demonstrate how action learning can be practically applied to quality and safety challenges at a large academic medical health system and become fundamentally integrated with an institution's broader approach to quality and safety. Design/methodology/approach The authors describe how the fundamental principles of action learning have been applied to advancing quality and safety in health care at a large academic medical institution. The authors provide an academic contextualization of action learning in health care and then transition to how this concept can be practically applied to quality and safety by providing detailing examples at the unit, cross-functional and executive levels...
May 2, 2017: Leadership in Health Services
https://www.readbyqxmd.com/read/28480476/the-role-of-free-libre-and-open-source-software-in-learning-health-systems
#11
C Paton, T Karopka
OBJECTIVE: To give an overview of the role of Free/Libre and Open Source Software (FLOSS) in the context of secondary use of patient data to enable Learning Health Systems (LHSs). METHODS: We conducted an environmental scan of the academic and grey literature utilising the MedFLOSS database of open source systems in healthcare to inform a discussion of the role of open source in developing LHSs that reuse patient data for research and quality improvement. RESULTS: A wide range of FLOSS is identified that contributes to the information technology (IT) infrastructure of LHSs including operating systems, databases, frameworks, interoperability software, and mobile and web apps...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28480469/toward-an-information-infrastructure-for-global-health-improvement
#12
C P Friedman, J C Rubin, K J Sullivan
Profound global challenges to individual and population health, alongside the opportunities to benefit from digital technology, have spawned the concept of the Learning Health System. Learning Health Systems (LHSs)--which can function at organizational, network, regional, and national levels of scale--have the capability of continuous data-driven self-study that promotes change and improvement. The LHS concept, which originated in the U.S. in 2007, is rapidly gaining attention around the world. LHSs require, but also transcend, the secondary use of health data...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28475606/shaping-innovations-in-long-term-care-for-stroke-survivors-with-multimorbidity-through-stakeholder-engagement
#13
Euan Sadler, Talya Porat, Iain Marshall, Uy Hoang, Vasa Curcin, Charles D A Wolfe, Christopher McKevitt
BACKGROUND: Stroke, like many long-term conditions, tends to be managed in isolation of its associated risk factors and multimorbidity. With increasing access to clinical and research data there is the potential to combine data from a variety of sources to inform interventions to improve healthcare. A 'Learning Health System' (LHS) is an innovative model of care which transforms integrated data into knowledge to improve healthcare. The objective of this study is to develop a process of engaging stakeholders in the use of clinical and research data to co-produce potential solutions, informed by a LHS, to improve long-term care for stroke survivors with multimorbidity...
2017: PloS One
https://www.readbyqxmd.com/read/28474263/quality-of-life-measurements-any-value-for-clinical-practice
#14
REVIEW
Matthias Büttner, Veit Zebralla, Andreas Dietz, Susanne Singer
Quality of life measurements are well established in cancer clinical trials. In daily clinical practice, where cancer patients often suffer from disease-specific symptoms and report unmet needs regarding their treatment, these measurements are not systematically implemented. The systematic (often computer-based) assessment of quality of life in daily cancer care has shown to be beneficial for patient-physician communication, symptom management, shared decision-making, and in creating a learning health system...
May 2017: Current Treatment Options in Oncology
https://www.readbyqxmd.com/read/28430088/informatics-for-health-2017-advancing-both-science-and-practice
#15
Philip J Scott, Ronald Cornet, Colin McCowan, Niels Peek, Paolo Fraccaro, Nophar Geifman, Wouter T Gude, William Hulme, Glen P Martin, Richard Williams
INTRODUCTION: The Informatics for Health congress, 24-26 April 2017, in Manchester, UK, brought together the Medical Informatics Europe (MIE) conference and the Farr Institute International Conference. This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress. DISCUSSION: The twin programmes of "Big Data" and "Digital Health" are not always joined up by coherent policy and investment priorities...
April 21, 2017: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28428140/automated-annotation-and-classification-of-bi-rads-assessment-from-radiology-reports
#16
Sergio M Castro, Eugene Tseytlin, Olga Medvedeva, Kevin Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S Jacobson
The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities. The objective of this study is to develop a natural language processing (NLP) system for automated BI-RADS categories extraction from breast radiology reports. We evaluated an existing rule-based NLP algorithm, and then we developed and evaluated our own method using a supervised machine learning approach...
May 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28426457/race-differences-in-initial-presentation-early-treatment-and-1-year-outcomes-of-pediatric-crohn-s-disease-results-from-the-improvecarenow-network
#17
Jennifer L Dotson, Michele Cho, Josh Bricker, Michael D Kappelman, Deena J Chisolm, Gitit Tomer, Wallace V Crandall
BACKGROUND: Racially disparate care has been shown to contribute to suboptimal health care outcomes for minorities. Using the ImproveCareNow network, we investigated differences in management and outcomes of pediatric patients with Crohn's disease at diagnosis and 1-year postdiagnosis. METHODS: ImproveCareNow is a learning health network for pediatric inflammatory bowel disease. It contains prospective, longitudinal data from outpatient encounters. This retrospective study included all patients with Crohn's disease ≤21 years, September 2006 to October 2014, with the first recorded encounter ≤90 days from date of diagnosis and an encounter 1 year ±60 days...
May 2017: Inflammatory Bowel Diseases
https://www.readbyqxmd.com/read/28379426/observational-research-as-a-platform-for-evidence-based-public-health-policies-and-learning-health-systems
#18
Luigi Tavazzi
No abstract text is available yet for this article.
April 2, 2017: European Heart Journal
https://www.readbyqxmd.com/read/28340241/pragmatic-trial-informatics-a-perspective-from-the-nih-health-care-systems-research-collaboratory
#19
Rachel L Richesson, Beverly B Green, Reesa Laws, Jon Puro, Michael G Kahn, Alan Bauck, Michelle Smerek, Erik G Van Eaton, Meredith Zozus, W Ed Hammond, Kari A Stephens, Greg E Simon
Pragmatic clinical trials (PCTs) are research investigations embedded in health care settings designed to increase the efficiency of research and its relevance to clinical practice. The Health Care Systems Research Collaboratory, initiated by the National Institutes of Health Common Fund in 2010, is a pioneering cooperative aimed at identifying and overcoming operational challenges to pragmatic research. Drawing from our experience, we present 4 broad categories of informatics-related challenges: (1) using clinical data for research, (2) integrating data from heterogeneous systems, (3) using electronic health records to support intervention delivery or health system change, and (4) assessing and improving data capture to define study populations and outcomes...
March 14, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28225531/a-shared-responsibility-for-developing-a-learning-health-system
#20
Andrew B Bindman
No abstract text is available yet for this article.
April 2017: Journal of Nursing Care Quality
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