scholarly journals Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research

2017 ◽  
Vol 1 (1) ◽  
pp. 40-44 ◽  
Author(s):  
L. J. Finney Rutten ◽  
A. Alexander ◽  
P. J. Embi ◽  
G. Flores ◽  
C. Friedman ◽  
...  
Keyword(s):  
Health System ◽  
Translational Research ◽  
Clinical Data ◽  
Health Care Systems ◽  
Research Network ◽  
Research Networks ◽  
Patient Centered ◽  
Learning Health System ◽  
Challenges And Opportunities ◽  
Care Systems

IntroductionThe 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.MethodsThe 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.Results and ConclusionsHerein, we describe the Learning Health System Network as an emerging resource for translational research, providing details on the governance and organizational structure of the network, the key milestones of the current funding period, and challenges and opportunities for collaborative science leveraging the network.

scholarly journals Status Update on Data Required to Build a Learning Health System

2020 ◽  
Vol 38 (14) ◽  
pp. 1602-1607 ◽  
Author(s):  
Monica M. Bertagnolli ◽  
Brian Anderson ◽  
Kelly Norsworthy ◽  
Steven Piantadosi ◽  
Andre Quina ◽  
...  
Keyword(s):  
Health Care ◽  
Health System ◽  
Large Scale ◽  
Point Of Care ◽  
Health Care Systems ◽  
Clinical Care ◽  
Real World Data ◽  
Learning Health System ◽  
Care Systems ◽  
Data Elements

Wide adoption of electronic health records (EHRs) has raised the expectation that data obtained during routine clinical care, termed “real-world” data, will be accumulated across health care systems and analyzed on a large scale to produce improvements in patient outcomes and the use of health care resources. To facilitate a learning health system, EHRs must contain clinically meaningful structured data elements that can be readily exchanged, and the data must be of adequate quality to draw valid inferences. At the present time, the majority of EHR content is unstructured and locked into proprietary systems that pose significant challenges to conducting accurate analyses of many clinical outcomes. This article details the current state of data obtained at the point of care and describes the changes necessary to use the EHR to build a learning health system.

scholarly journals Patient-Reported Outcomes Collected as Part of the Medicare Annual Wellness Visit in the Health Care Systems Research Network

2016 ◽  
Vol 3 (3) ◽  
pp. 168 ◽  
Author(s):  
Heather Tabano ◽  
Thomas Gill ◽  
Kathryn Anzuoni ◽  
Heather Allore ◽  
Ann Gruber-Baldini ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Reported Outcomes ◽  
Health Care Systems ◽  
Research Network ◽  
Systems Research ◽  
Patient Reported ◽  
Care Systems

scholarly journals An Examination of Mentoring and Training in the Health Care Systems Research Network

2016 ◽  
Vol 3 (3) ◽  
pp. 217
Author(s):  
Sharon L Larson ◽  
Marc Williams ◽  
Ella Thompson ◽  
Amber Eruchalu ◽  
Lela McFarland
Keyword(s):  
Health Care ◽  
Health Care Systems ◽  
Research Network ◽  
Systems Research ◽  
Care Systems ◽  
And Training

scholarly journals Sharing Experiences and Expertise: The Health Care Systems Research Network Workshop on Patient Engagement in Research

2016 ◽  
Vol 3 (3) ◽  
pp. 159-166 ◽  
Author(s):  
Sarah Madrid ◽  
Leah Tuzzio ◽  
Cheryl D Stults ◽  
Leslie A Wright ◽  
Gina Napolitano ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Engagement ◽  
Health Care Systems ◽  
Research Network ◽  
Systems Research ◽  
Care Systems ◽  
Patient Engagement In Research

Toward More Patient-Centered and Prevention-Oriented Oral Health Care

2016 ◽  
Vol 2 (1) ◽  
pp. 5-9 ◽  
Author(s):  
H. Leggett ◽  
D. Duijster ◽  
G.V.A. Douglas ◽  
K. Eaton ◽  
G.J.M.G. van der Heijden ◽  
...  
Keyword(s):  
Health Care ◽  
Oral Health ◽  
Disease Prevention ◽  
Care Delivery ◽  
Health Care Systems ◽  
Oral Care ◽  
Oral Health Care ◽  
Patient Centered ◽  
Care Systems ◽  
European Union Member States

ADVOCATE (Added Value for Oral Care) is a project funded by the European Commission’s Horizon 2020 program, which aims to develop strategies for a system transition toward more patient-centered and prevention-oriented oral health care delivery within health care systems. This system should balance the restorative and preventive approaches in dental and oral health care. ADVOCATE is a partnership among 6 European Union member states, which involves collaboration among universities, state-funded health care providers, and private insurance companies in Denmark, Germany, Hungary, Ireland, the Netherlands, the United Kingdom, and Aridhia, a biomedical informatics company based in Scotland. There are 6 interrelated work packages, which aim to address the following objectives: 1) in-depth evaluation of oral health care systems in European Union member states to identify best system designs for oral disease prevention, 2) development of a set of measures to provide information on oral care delivery and oral health outcomes, 3) evaluation of a feedback approach in dental practice that aims to facilitate a change toward preventive oral health care delivery, and 4) economic evaluation of strategies to promote preventive oral health care and development of policy recommendations for oral health care systems. The project is novel in its use of data that are routinely collected by health insurance organizations, as well as the engagement of key stakeholders from dental teams, insurers, patients, and policy makers in guiding the development and progress of the project. This article outlines in detail the objectives and research methodology of the ADVOCATE project and its anticipated impact. Knowledge Transfer Statement: This commentary describes the development of policy options to promote a greater focus on disease prevention in general dental practice. The approach builds on identifying the comparative effectiveness of alternative incentive schemes, as well as methods to monitor clinical and patient-derived measures of success in creating health for patients. The article describes the development and application of the measures and the evaluation of their success in orienting clinical practice more toward disease prevention.

scholarly journals A Consensus-Based Set of Measures for Oral Health Care

2017 ◽  
Vol 96 (8) ◽  
pp. 881-887 ◽  
Author(s):  
F. Baâdoudi ◽  
A. Trescher ◽  
D. Duijster ◽  
N. Maskrey ◽  
F. Gabel ◽  
...  
Keyword(s):  
Health Care ◽  
Oral Health ◽  
Health Care Providers ◽  
Health Care Systems ◽  
Routine Data ◽  
Oral Health Care ◽  
Care Providers ◽  
Patient Centered ◽  
Dental Practitioners ◽  
Care Systems

Increasingly more responsive and accountable health care systems are demanded, which is characterized by transparency and explicit demonstration of competence by health care providers and the systems in which they work. This study aimed to establish measures of oral health for transparent and explicit reporting of routine data to facilitate more patient-centered and prevention-oriented oral health care. To accomplish this, an intermediate objective was to develop a comprehensive list of topics that a range of stakeholders would perceive as valid, important, and relevant for describing oral health and oral health care. A 4-stage approach was used to develop the list of topics: 1) scoping of literature and its appraisal, 2) a meeting of experts, 3) a 2-stage Delphi process (online), and 4) a World Café discussion. The aim was to create consensus through structured conversations via a range of stakeholders (general dental practitioners, patients, insurers, and policy makers) from the Netherlands, Germany, the United Kingdom, Ireland, Hungary, and Denmark. The study was part of the ADVOCATE project, and it resulted in a list of 48 topics grouped into 6 clusters: 1) access to dental care, 2) symptoms and diagnosis, 3) health behaviors, 4) oral treatments, 5) oral prevention, and 6) patient perception. All topics can be measured, as they all have a data source with defined numerators and denominators. This study is the first to establish a comprehensive and multiple-stakeholder consented topic list designed for guiding the implementation of transparent and explicit measurement of routine data of oral health and oral health care. Successful measurement within oral health care systems is essential to facilitate learning from variation in practice and outcomes within and among systems, and it potentiates improvement toward more patient-centered and prevention-oriented oral health care.

scholarly journals Recommendations for Meeting the Pediatric Patient's Need for a Clinical Pharmacist: A Joint Opinion of the Pediatrics Practice and Research Network of the American College of Clinical Pharmacy and the Pediatric Pharmacy Advocacy Group

2012 ◽  
Vol 17 (3) ◽  
pp. 281-291 ◽  
Author(s):  
Varsha Bhatt-Mehta ◽  
Marcia L. Buck ◽  
Allison M. Chung ◽  
Elizabeth Anne Farrington ◽  
Tracy M. Hagemann ◽  
...  
Keyword(s):  
Clinical Pharmacy ◽  
Health Care Systems ◽  
Pharmacy Education ◽  
Direct Care ◽  
Research Network ◽  
Pediatric Care ◽  
Care Needs ◽  
Clinical Pharmacists ◽  
Care Systems ◽  
Research Initiatives

Children warrant access to care from clinical pharmacists trained in pediatrics. The American College of Clinical Pharmacy Pediatrics Practice and Research Network (ACCP Pediatrics PRN) released an opinion paper in 2005 with recommendations for improving the quality and quantity of pediatric pharmacy education in colleges of pharmacy, residency programs, and fellowships. While progress has been made in increasing the availability of pediatric residencies, there is still much to be done to meet the direct care needs of pediatric patients. The purpose of this Joint Opinion paper is to outline strategies and recommendations for expanding the quality and capacity of pediatric clinical pharmacy practitioners by 1) elevating the minimum expectations for pharmacists entering practice to provide pediatric care; 2) standardizing pediatric pharmacy education; 3) expanding the current number of pediatric clinical pharmacists; and 4) creating an infrastructure for development of pediatric clinical pharmacists and clinical scientists. These recommendations may be used to provide both a conceptual framework and action items for schools of pharmacy, health care systems, and policymakers to work together to increase the quality and quantity of pediatric training, practice, or research initiatives.

scholarly journals Representing Knowledge Consistently Across Health Systems

2017 ◽  
Vol 26 (01) ◽  
pp. 139-147 ◽  
Author(s):  
S. T. Rosenbloom ◽  
R. J. Carroll ◽  
J. L. Warner ◽  
M. E. Matheny ◽  
J. C. Denny
Keyword(s):  
Knowledge Representation ◽  
Clinical Data ◽  
Information Technologies ◽  
The United States ◽  
Data Models ◽  
Research Network ◽  
Patient Centered ◽  
Health Information Technologies ◽  
Health Level 7 ◽  
Support Of Research

Summary Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful source of clinical data that can be leveraged for reuse in research and in modular health apps that integrate into diverse health information technologies. A key challenge to these use cases is representing the knowledge contained within data from different EHR systems in a uniform fashion. Method: We reviewed several recent studies covering the knowledge representation in the common data models for the Observational Medical Outcomes Partnership (OMOP) and its Observational Health Data Sciences and Informatics program, and the United States Patient Centered Outcomes Research Network (PCORNet). We also reviewed the Health Level 7 Fast Healthcare Interoperability Resource standard supporting app-like programs that can be used across multiple EHR and research systems. Results: There has been a recent growth in high-impact efforts to support quality-assured and standardized clinical data sharing across different institutions and EHR systems. We focused on three major efforts as part of a larger landscape moving towards shareable, transportable, and computable clinical data. Conclusion: The growth in approaches to developing common data models to support interoperable knowledge representation portends an increasing availability of high-quality clinical data in support of research. Building on these efforts will allow a future whereby significant portions of the populations in the world may be able to share their data for research.

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