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Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective

Arianna Dagliati, Valentina Tibollo, Lucia Sacchi, Alberto Malovini, Ivan Limongelli, Matteo Gabetta, Carlo Napolitano, Andrea Mazzanti, Pasquale De Cata, Luca Chiovato, Silvia Priori, Riccardo Bellazzi
2018 Frontiers in Digital Humanities  
In this paper we highlight how "Big Data enabled" integrated data collections may support clinical decision-making together with biomedical research.  ...  Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration  ...  USE OF BIG DATA FOR CLINICAL DECISION SUPPORT: AVAILABLE SOLUTIONS AND SYSTEMS Several conceptual design elements and software components are nowadays available to support the construction of systems for  ... 
doi:10.3389/fdigh.2018.00008 fatcat:pgumv6gsjrgcpecr65zrljsrja

Improving Health System Efficiency: Perspectives of Decision-Makers

Sara Allin, Sara Guilcher, Dana Riley, Yu Janice Zhang
2017 Healthcare Quarterly  
While improving health system efficiency, or value for money, is a priority in Canada, there is little information about optimal approaches for improvement in the Canadian context.  ...  Through interviews with senior health system decision-makers from two provinces, this study conducted by the Canadian Institute for Health Information identified the following five main themes along with  ...  Improving Health System Efficiency: Perspectives of Decision-Makers  ... 
doi:10.12927/hcq.2017.25143 fatcat:3n5n7ydijrhxndknfbofxz35ti

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

C. Friedman, J. Rubin, J. Brown, M. Buntin, M. Corn, L. Etheredge, C. Gunter, M. Musen, R. Platt, W. Stead, K. Sullivan, D. Van Houweling
2014 JAMIA Journal of the American Medical Informatics Association  
BACKGROUND AND SIGNIFICANCE Vision of a Learning Health System The capability to share data-and harness its potential to generate knowledge rapidly and inform decisions-can have transformative effects  ...  ▸ What rigorous methods for data description and new data quality metrics will capture the semantics that enable rapid learning from (big) heterogeneous data streams?  ...  Learning Health System Collections Topic Articles on similar topics can be found in the following collections  ... 
doi:10.1136/amiajnl-2014-002977 pmid:25342177 pmcid:PMC4433378 fatcat:7cwf2a3ov5ea5hub7ivp5pdhnq

P014 Guideline Implementation in a 21st Century Health System

Brian Mittman
2013 BMJ Quality and Safety  
The presentation will touch briefly on these developments as well, and discuss their implications for the future of clinical practice guidelines as a foundation for evidence-based clinical decision making  ...  These include growing interest in personalised medicine and patient-centred care, the emergence of "big data" and associated opportunities to develop new forms of evidence-based guidance for clinical decisions  ... 
doi:10.1136/bmjqs-2013-002293.14 fatcat:i5vpklojrnbfroqnkgje7kx4li

Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine

Emma Kurnat-Thoma, Ancha Baranova, Pat Baird, Elia Brodsky, Atul J. Butte, Amrita K. Cheema, Feixiong Cheng, Shuchismita Dutta, Christina Grant, James Giordano, Anke H. Maitland-van der Zee, Douglas B. Fridsma (+30 others)
2020 Systems Medicine  
The conference served as a unique nexus for interdisciplinary discovery and dialogue and fostered formation of new insights and possibilities for health care systems advances.  ...  Topics ranged from: Systems and Network Medicine in Clinical Practice; the role of -omics technologies in Health Care; the role of Education and Ethics in Clinical Practice, Systems Thinking, and Rare  ...  We are grateful to the following sponsors for their contributions to the conference: Systems Engineering Research Center (SERC); Georgetown-Howard Universities Center for Clinical and Translational Science  ... 
doi:10.1089/sysm.2020.0001 pmid:32226924 pmcid:PMC7099876 fatcat:4acs6ozyxjdrxhwya735k6k5wm

Clinical Information Systems – From Yesterday to Tomorrow

R. M. Gardner
2016 IMIA Yearbook of Medical Informatics  
Conclusions: Clinical information systems and computerized clinical decision support have made contributions to medicine in the past.  ...  Dramatic improvements in quality of care and patient safety must be anticipated as a result of the use of clinical information systems.  ...  Acknowledgements Thanks to the two anonymous reviewers for their careful edits, suggestions and recommendations. They made this manuscript much better.  ... 
doi:10.15265/iys-2016-s010 pmid:27362589 pmcid:PMC5171508 fatcat:gvtjoinqhvdftkfb2xzor7fnei

Leveraging Data Analytics to Advance Personal, Population, and System Health

Michael E. Thompson, Michael F. Dulin
2019 North Carolina Medical Journal  
We need to learn from other industries and to support innovation through entrepreneurship.  ...  T o make big data useful while protecting patient privacy, we need new governance models that allow organizations to treat data as a fundamental asset.  ...  them easier to use and better at providing clinical decision support.  ... 
doi:10.18043/ncm.80.4.214 fatcat:lvnif7iccvgu3iftnxnm54ecby

The Heimdall Framework for Supporting Characterisation of Learning Health Systems

Scott McLachlan, Henry W.W. Potts, Kudakwashe Dube, Derek Buchanan, Stephen Lean, Thomas Gallagher, Owen Johnson, Bridget Daley, William Marsh, Norman Fenton
2018 Journal of Innovation in Health Informatics  
that can be used as a tool to analyse the literature and support researchers to identify health informatics investigations as falling with the domain of LHS.Method: A scoping review is used to identify  ...  Learning Health Systems (LHS) can focus population medicine and Evidence Based Practice; smart technology delivering the next generation of improved healthcare described as Precision Medicine, and yet  ...  - conforms to the taxonomy. • Patient focused - ensures personalised health care, known as PM. • Technology usage - uses health IT with big data, machine learning algorithms and automation. • Decision  ... 
doi:10.14236/jhi.v25i2.996 fatcat:nozxz7ua7vdetlnnktkjvyu24e

P4 medicine: how systems medicine will transform the healthcare sector and society

Mauricio Flores, Gustavo Glusman, Kristin Brogaard, Nathan D Price, Leroy Hood
2013 Personalized Medicine  
It is unlikely that clinical care will generate sufficient data to support systems approaches to big data analyses, connecting these critical factors to molecular and cellular data.  ...  Controls for big data. Traditionally, the gold standard for biomedical studies has been highly controlled double-blind clinical trials that take place in a laboratory setting.  ...  Proteome Res. 3(2), 179-196 (2004 Lower-Cost-The-Path-to-Continuously-Learning-Healthcare-in-America.aspx n Calls for healthcare to be organized as a learning health system in which knowledge generation  ... 
doi:10.2217/pme.13.57 pmid:25342952 pmcid:PMC4204402 fatcat:jwu36q3ggncvjia33glet6ivom

Comprehending the Health Informatics Spectrum: Grappling with System Entropy and Advancing Quality Clinical Research

Matthew I. Bellgard, Nigel Chartres, Gerald F. Watts, Steve Wilton, Sue Fletcher, Adam Hunter, Tom Snelling
2017 Frontiers in Public Health  
(4); and (iii) in evidence-based medicine, encoding expert clinical knowledge into decision support systems and data standards for collecting diverse patient's physiological measurements are critical  ...  These systems are used by various health stakeholders for a diverse  ...  The authors gratefully acknowledge the combined supportin-part funding for this work. This includes the RD-  ... 
doi:10.3389/fpubh.2017.00224 pmid:28959687 pmcid:PMC5603612 fatcat:2ir6i56asnekze2w4fakd2jfsu

Integrating qualitative research methods into care improvement efforts within a learning health system: addressing antibiotic overuse

Corrine E. Munoz-Plaza, Carla Parry, Erin E. Hahn, Tania Tang, Huong Q. Nguyen, Michael K. Gould, Michael H. Kanter, Adam L. Sharp
2016 Health Research Policy and Systems  
These findings informed the design of a health system intervention to improve antibiotic stewardship for acute sinusitis. Core components of the intervention are also described.  ...  Examples highlighting application of qualitative research methods embedded into a healthcare system are particularly needed.  ...  Acknowledgements We would like to acknowledge the internal research funding support of Ben Chu, MD, for the vision to support the Care Improvement Research Team, as well as the Southern California Physicians  ... 
doi:10.1186/s12961-016-0122-3 pmid:27527079 pmcid:PMC4986245 fatcat:o6xsqgwzbzdlxejy4qmqfgjln4

A Model for Examining Challenges and Opportunities in Use of Cloud Computing for Health Information Systems

Ahmad Al-Marsy, Pankaj Chaudhary, James Allen Rodger
2021 Applied System Innovation  
Health Information Systems (HIS) are becoming crucial for health providers, not only for keeping Electronic Health Records (EHR) but also because of the features they provide that can be lifesaving, thanks  ...  Challenges and drivers in each of these dimensions are detailed and operationalized to arrive at a model for HIS adoption.  ...  Data Availability Statement: Empirical data collection is planned. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/asi4010015 fatcat:f4anp3dddre4nmufpqo35xnaam

Context Aware Control Systems: An Engineering Applications Perspective

Ricardo Alfredo Cajo Diaz, Mihaela Ghita, Dana Copot, Isabela Roxana Birs, Cristina Muresan, Clara Ionescu
2020 IEEE Access  
A dedicated IoT survey with literature from both historical and conceptual perspectives while cross-linking the context awareness, machine learning, and big data is [48] .  ...  As with all CPSs, data feedback especially big data, are at the core features, demanding suitable filtering techniques for extracting new, useful, learning-worth information from the environment.  ...  CLARA IONESCU is a professor at Ghent University, Dynamical Systems and Control research group.  ... 
doi:10.1109/access.2020.3041357 fatcat:774abyybrbb4hcxtfepj2xngd4

Understanding unwarranted variation in clinical practice: a focus on network effects, reflective medicine and learning health systems

2020 International Journal for Quality in Health Care  
In this perspective, we reflect on these concepts and propose target points for future research.  ...  Moreover, target points for improving and decreasing clinical variation should be created.  ...  Objective clinical criteria and learning health systems (LHS) Another important driver for practice variation is the persistence of low-value care and diffuse clinical criteria for certain medical procedures  ... 
doi:10.1093/intqhc/mzaa023 pmid:32319525 pmcid:PMC7270826 fatcat:n74wryml4rgydfupy55o56kmlm

Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective

Z. Faizal khan, Sultan Refa Alotaibi
2020 Journal of Healthcare Engineering  
and proposes a model based on the AI and big data analytics for m-health.  ...  In this paper, a systematic review is carried out on application of AI and the big data analytics to improve the m-health system.  ...  Applications of Big Data Analytics in m-Health Recently, big data analytics has various options of providing advanced care for the patient and clinical decision support in the healthcare [14-17, 110,  ... 
doi:10.1155/2020/8894694 pmid:32952992 pmcid:PMC7481991 fatcat:6ubdxhnjxvg4jbzt5oetl2jsua
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