Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

Cited by (587)

Items 201–300 of 587

1. Designing a program evaluation for a medical‐dental service for adults with autism and intellectual disabilities using the RE‐AIM framework
   Jonathan Lai, Malvina Klag, Keiko Shikako‐Thomas · 2019 · Learning Health Systems
2. An observational study on the rate of reporting of adverse event on healthcare staff in a mental health setting: An application of Poisson expectation maximisation analysis on nurse staffing data
   Robert M. Cook, Sarahjane Jones, Gemma Williams, Daniel Worsley, Ray Walker, Mark Radford, Alison Leary · 2019 · Health Informatics Journal
3. Situating Knowledge and Action for an Urban Planet
   Susan M. Parnell, Thomas Elmqvist, Timon McPhearson, Harini Nagendra, Sverker Sörlin · 2018 · Cambridge University Press eBooks
4. The Trifecta of Precision Care in Heart Failure
   Ahmad, Tariq, Wilson, F. Perry, Desai, Nihar R. · 2018 · Journal of the American College of Cardiology
5. Artificial Intelligence for Cardiovascular Care in Action
   Dhruva Biswas, Phyllis Thangaraj, Aline F Pedroso, Modele O. Ogunniyi, Thomas M. Maddox, Faraz S. Ahmad, Rohan Khera · 2025 · JACC Advances
6. A Comprehensive Review of Big Data Analysis Techniques in Health-Care
   Sharad Kumar Tiwari, Jaskirat Kaur, Parveen Singla, P.N. Hrisheekesha · 2023 · Lecture notes in electrical engineering
7. Perspectives in cattle reproduction for the next 20 years – A European context
   Osvaldo Bogado Pascottini, Alan D. Crowe, Uxía Yáñez, Miel Hostens, GEERT OPSOMER, Mark A. Crowe · 2024 · Theriogenology
8. An open-source framework for the interactive exploration of Big Data: Applications in understanding health care
   A. Ravishankar Rao, Daniel J. B. Clarke · 2017 · International Joint Conference on Neural Networks (IJCNN)
9. A precision medicine approach for psychiatric disease based on repeated symptom scores
   Anthony Todd Fojo, Katherine Louise Musliner, Peter P. Zandi, Scott L. Zeger · 2017 · Journal of Psychiatric Research
10. Teaching Note—Data Science in the MSW Curriculum: Innovating Training in Statistics and Research Methods
    Brian Edward Perron, Bryan G. Victor, Barbara Hiltz, Joseph P. Ryan · 2020 · Journal of Social Work Education
11. Information quality life cycle in secondary use of EHR data
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12. Characterizing the Value of Information in Medical Notes
    Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan · 2020 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
13. Data Science Approaches in Criminal Justice and Public Health Research: Lessons Learned From Opioid Projects
    Tammy L. Anderson, Ellen A. Donnelly, Chris Delcher, Yanning Wang · 2021 · Journal of Contemporary Criminal Justice
14. Can machine learning complement traditional medical device surveillance? A case-study of dual-chamber implantable cardioverter–defibrillators
    Joseph S. Ross, Jonathan Bates, Craig S. Parzynski, Joseph G. Akar, Jeptha P. Curtis, Nihar Desai, James V. Freeman, Ginger M. Gamble, Richard E. Kuntz, Shu‐Xia Li et al. · 2017 · Medical Devices Evidence and Research
15. Characteristics of the healthcare information technology workforce in the HITECH era: underestimated in size, still growing, and adapting to advanced uses
    William Hersh, Keith W. Boone, Annette M Totten · 2018 · JAMIA Open
16. Bringing big data analytics closer to practice: A methodological explanation and demonstration of classification algorithms
    Ofir Ben‐Assuli, Tsipi Heart, Shlomo Nir, Robert Klempfner · 2019 · Health Policy and Technology
17. DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles
    Priya Deshpande, Alexander Rasin, Jacob David Furst, Daniela Stan Raicu, Sameer Antani · 2019 · Data
18. LAGOS: learning health systems and how they can integrate with patient care
    Scott McLachlan, Kudakwashe Dube, Evangelia Kyrimi, Norman Fenton · 2019 · BMJ Health & Care Informatics
19. Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry.
    Jonathan Chiang, Andre D. Kumar, David Morales, Divya Saini, Jason Hom, Lisa Y. Shieh, Mark A. Musen, Mary Kane Goldstein, Jonathan H. Chen · 2020 · PubMed Central
20. Building an Open Health Data Analytics Platform: a Case Study Examining Relationships and Trends in Seniority and Performance in Healthcare Providers
    A. Ravishankar Rao, Daniel J. B. Clarke, Maryelena Vargas · 2018 · Journal of Healthcare Informatics Research
21. Best Practices for Health Informatician Involvement in Interprofessional Health Care Teams
    Richard J. Holden, Samar Binkheder, Jay Sureshbhai Patel, Sara Viernes · 2018 · Applied Clinical Informatics
22. Data-Mining Electronic Medical Records for Clinical Order Recommendations: Wisdom of the Crowd or Tyranny of the Mob?
    Jonathan H. Chen, Russ Biagio Altman · 2015 · Europe PMC (PubMed Central)
23. The influence of a specific ophthalmological electronic health record on ICD-10 coding
    Karsten Kortuem, Christoph Hirneiß, Michael Müller, Alexander Babenko, Anselm Kampik, Thomas Christian Kreutzer · 2016 · BMC Medical Informatics and Decision Making
24. Exploring the Process of Cancer Care for Patients With Pre-Existing Mobility Disability
    Nicole D. Agaronnik, Areej R El-Jawahri, Charlotta J. Lindvall, Lisa I. Iezzoni · 2020 · JCO Oncology Practice
25. SURVEY ON ACCURACY OF PREDICTIVE BIG DATA ANALYTICS IN HEALTHCARE
    S. Smys · 2019 · Journal of Information Technology and Digital World
26. The Core Concepts, Competencies, and Grand Challenges of Comparative Vertebrate Anatomy and Morphology
    Nicole Danos, Katie Lynn Staab, Lisa B. Whitenack · 2022 · Integrative Organismal Biology
27. Health Policy and Cardiovascular Medicine
    Karen E. Joynt · 2015 · Circulation
28. Public Health Platforms: An Emerging Informatics Approach to Health Professional Learning and Development
    Kathleen Mary Gray · 2016 · Journal of Public Health Research
29. Analytical Methods for a Learning Health System: 1. Framing the Research Question
    ­Michael A. Stoto, Michael Oakes, Elizabeth A. Stuart, Lucy A. Savitz, Elisa L. Priest, Jelena Zurovac · 2017 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
30. „Smart eye data“
    Karsten Kortuem, Michael Müller, Christoph Hirneiß, Alexander Babenko, Daniel Nasseh, Christoph Kern, Anselm Kampik, Siegfried Georg Priglinger, Thomas Christian Kreutzer · 2016 · Der Ophthalmologe
31. Sustainability Transformation Emerging from Better Governance
    Patricia Romero‐Lankao, Niki Frantzeskaki, Corrie A. Griffith · 2018 · Cambridge University Press eBooks
32. Cultivating Skills for Success in Learning Health Systems
    Ankur Kalra, Srinath Adusumalli, Shashank S. Sinha · 2017 · Journal of the American College of Cardiology
33. Collective action for responsible AI in health
    Brian Anderson, Eric Sutherland · 2024 · OECD artificial intelligence papers
34. Substance, discourse, and practice: a review of communication research on automation
    Joshua B. Barbour, Jared T. Jensen, Shelbey R. Call, Nandini Sharma · 2023 · Annals of the International Communication Association
35. Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluations for People with Diabetic Foot Ulcers
    Gozde Cay, M. G. Finco, Jason Garcia, Jill L. McNitt-Gray, David G. Armstrong, Bijan Najafi · 2024 · Sensors
36. Protecting privacy and promoting learning: blockchain and privacy preserving technology should inform new ethical guidelines for health data
    Marielle S. Gross, Robert C. Miller · 2021 · Health and Technology
37. Preparing the Next Generation of Family Physicians to Improve Population Health: A CERA Study.
    Katherine Diaz Vickery, Kirsten Rindfleisch, Janice Benson, Judith Furlong, Viviana Martínez-Bianchi, Caroline Regina Richardson · 2015 · PubMed
38. Big data survey in healthcare and a proposal for intelligent data diagnosis framework
    Muhammad Imran Babar, Muhammad Jehanzeb, Masitah Ghazali, Dayang N. A. Jawawi, Falak Sher, Shahbaz Ahmed Khan Ghayyur · 2016 · IEEE International Conference on Computer and Communications (ICCC)
39. SmartHealth: IoT-Enabled Context-Aware 5G Ambient Cloud Platform
    Farzana Shafqat, Muhammad Naeem A. Khan, Sarah Shafqat · 2021 · Studies in computational intelligence
40. How can big data shape the field of non-religion studies? And why does it matter?
    Dominik Balazka, Dick Houtman, Bruno Lepri · 2021 · Patterns
41. Understanding, Implementing, and Tracking Urban Metabolism Is Key to Urban Futures
    Abel Chávez, Chris Kennedy, Bin Chen, Marian R. Chertow, Tim Baynes, Shaoqing Chen, Xuemei Bai · 2018 · Cambridge University Press eBooks
42. Better together: Integrating biomedical informatics and healthcare IT operations to create a learning health system during the COVID ‐19 pandemic
    Philip Payne, Adam B Wilcox, Peter J. Embí, Chris Longhurst · 2022 · Learning Health Systems
43. Exercise and Experiments of Nature
    Michael J. Joyner, Chad C. Wiggins, Sarah E. Baker, Stephen A. Klassen, Jonathon W. Senefeld · 2023 · Comprehensive physiology
44. Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records
    John E. Brush, Yuan Lu, Yuntian Liu, Jordan R. Asher, Shu‐Xia Li, Mitsuaki Sawano, Patrick Young, Wade L. Schulz, Mark Anderson, John Burrows et al. · 2024 · Journal of the American Heart Association
45. Privacy-Preserving Clinical Decision Support for Emergency Triage Using LLMs: System Architecture and Real-World Evaluation
    Alper Karamanlıoğlu, Berkan Demirel, Onur Tural, Osman Tufan Doğan, Ferda Nur Alpaslan · 2025 · Applied Sciences
46. Frameworks, guidelines, and tools to develop a learning health system for Indigenous health: An environmental scan for Canada
    Emma Janet Rice, Angela Mashford‐Pringle, Jinfan Rose Qiang, Lynn Henderson, Tammy MacLean, Justin Rhoden, Abigail J. Simms, Sterling Stutz · 2023 · Learning Health Systems
47. Facilitating the Exploration of Open Health-Care Data Through BOAT: A Big Data Open Source Analytics Tool
    A. Ravishankar Rao, Daniel J. B. Clarke · 2017 · Springer proceedings in business and economics
48. Ethical, legal, and social implications of learning health systems
    Jodyn E. Platt, Kayte Spector‐Bagdady, Tevah Platt, Raymond G. De Vries, Dorene S. Markel, Raymond J. Hutchinson, Frank J. Manion, Georgiann Ziegler, Joshua C. Rubin, Sharon L. R. Kardia · 2018 · Learning Health Systems
49. Value-based Healthcare: Measuring What Matters—Engaging Surgeons to Make Measures Meaningful and Improve Clinical Practice
    Angela L. Winegar, Jamie Moxham, Thomas P. Erlinger, Kevin John Bozic · 2018 · Clinical Orthopaedics and Related Research
50. Describing the current state of post-rehabilitation health system surveillance in Ontario – an invited review
    Chip P. Rowan, Brian Chan, Susan Brenda Jaglal, B. Catharine Craven · 2019 · Journal of Spinal Cord Medicine
51. Challenging the supremacy of evidence-based medicine through artificial intelligence: the time has come for a change of paradigms
    Alexandru Burlacu, Adrian Iftene, Eugen Busoiu, Dragos Cogean, Adrian Constantin Covic · 2019 · Nephrology Dialysis Transplantation
52. Precision medicine in anesthesiology
    Laleh Jalilian, Maxime Cannesson · 2020 · International Anesthesiology Clinics
53. Predictive Solutions in Learning Health Systems: The Critical Need to Systematize Implementation of Prediction to Action to Intervention
    Maureen A. Smith, Sabrina Adelaine, Lauren Bednarz, Brian W. Patterson, Jeffrey J. Pothof, Frank Liao · 2021 · NEJM Catalyst
54. New Integrated Urban Knowledge for the Cities We Want
    Xuemei Bai, Thomas Elmqvist, Niki Frantzeskaki, Timon McPhearson, Dávid Simon, David Maddox, Mark Watkins, Patricia Romero‐Lankao, Susan M. Parnell, Corrie A. Griffith et al. · 2018 · Cambridge University Press eBooks
55. The identification of new service opportunities: a case-based morphological analysis
    Hakyeon Lee, Hyeonju Seol, Hyejong Min, Youngjung Geum · 2016 · Service Business
56. Applying Machine-Learning Techniques to Build Self-reported Depression Prediction Models
    Jeeyae Choi, Jeungok Choi, Hee-Tae Jung · 2018 · CIN Computers Informatics Nursing
57. Indicators for Measuring Urban Sustainability and Resilience
    David Gómez‐Álvarez, Eduardo López-Moreno, Edgardo Bilsky, Karina Blanco Ochoa, Efrén Osorio Lara · 2018 · Cambridge University Press eBooks
58. The Promise of Big Data
    Harlan M. Krumholz · 2016 · Circulation Cardiovascular Quality and Outcomes
59. What is measured matters: A scoping review of analysis methods used for qualitative patient reported experience measure data
    Teyl Engstrom, Max Shteiman, Kim Kelly, Clair M. Sullivan, Jason D. Pole · 2024 · International Journal of Medical Informatics
60. Data Access and the Study of Educational Equity: Implications from a National School Boundary Data Collection Effort
    Sarah Asson, Erica Frankenberg, Annie Maselli, Ian Burfoot‐Rochford, Christopher S. Fowler, Ruth Krebs Buck · 2022 · Education Finance and Policy
61. Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning
    Aashveen Chhina, Karan Trehan, Muskaan Saini, Shubham Thakur, Manjot Kaur, Navid Reza Shahtaghi, Riya Shivgotra, Bindu Soni, Anuj Modi, Hossamaldeen Bakrey et al. · 2023 · Current Pharmaceutical Design
62. Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The “ADVENTURE” study
    Paul‐Michel Mertès, Claire Morgand, Paul Randall Barach, Geoffrey Jurkolow, Karen Elena Assmann, Edouard Dufetelle, Vincent Susplugas, Bilal Alauddin, Patrick Georges Yavordios, Jean Tourres et al. · 2024 · Anaesthesia Critical Care & Pain Medicine
63. Identifying the “Blip on the Radar Screen”: Leveraging Big Data in Defining Drug Safety and Efficacy in Pediatric Practice
    Michael L. Christensen, Robert Lowell Davis · 2018 · The Journal of Clinical Pharmacology
64. What Clinics are Expecting From Data Scientists? A Review on Data Oriented Studies Through Qualitative and Quantitative Approaches
    Lina Xu, Monika Simjanoska, Bojana Koteska, Vladimir Trajkovikj, Ana Madevska Bogdanova, Kristina Drusany Starič, Fedor Lehocki · 2018 · IEEE Access
65. The Promise of Big Data and Digital Solutions in Building a Cardiovascular Learning System: Opportunities and Barriers
    Makoto Mori, Rohan Khera, Zhenqiu Lin, Joseph S. Ross, Wade L. Schulz, Harlan M. Krumholz · 2020 · Methodist DeBakey Cardiovascular Journal
66. Advancing Rehabilitation Practice Using Embedded Learning Health System Researchers
    Joshua K. Johnson, Mary Stilphen, Daniel L. Young, Michael A. Friedman, Robin L. Marcus, Christopher S. Noren, Hallie Zeleznik, Janet K. Freburger · 2021 · Physical Therapy
67. Communication research at the National Cancer Institute, 2013–2019: a grant portfolio analysis
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68. Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies
    Kushan De Silva, Joanne Enticott, Christopher Barton, Andrew Benjamin Forbes, Sajal Kumar Saha, Rujuta Nikam · 2021 · Digital Health
69. Application of big data in COVID-19 epidemic
    Joseph Bamidele Awotunde, Abidemi Emmanuel Adeniyi, Paul Oluwatoba Kolawole, Roseline Oluwaseun Ogundokun · 2022 · Elsevier eBooks
70. Understanding the roles of three academic communities in a prospective learning health ecosystem for diagnostic excellence
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71. Determination of potential nitrosamines NDMA, NDIPA and N-Nitroso Duloxetine in Duloxetine Hydrochloride by LC-MS/MS using APCI source
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72. Houston Methodist cardiovascular learning health system (CVD-LHS) registry: Methods for development and implementation of an automated electronic medical record-based registry using an informatics framework approach
    Khurram Nasir, Rakesh Gullapelli, Juan Carlos Nicolas, Budhaditya Bose, Nwabunie Nwana, Sara Butt, Izza Shahid, Miguel Cainzos‐Achirica, Kershaw V. Patel, Arvind Bhimaraj et al. · 2024 · American Journal of Preventive Cardiology
73. Digital Health Revolution in India: Transforming Health and Medicine
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74. Conflicting roles for humans in learning health systems and AI‐enabled healthcare
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75. Rehabilitation Treatment Specification System for Voice Therapy: Application to Everyday Clinical Care
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76. Sağlık Hizmetlerinde Büyük Veri
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77. Del CMBD al Big Data en salud: un sistema de información hospitalaria para el siglo XXI
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78. Machine learning and data analytics
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79. Design and Implementation of Computer Based Test (CBT) in vocational education
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80. To Transform Cities, Support Civil Society
    Niki Frantzeskaki, Adina Dumitru, Julia Maria Wittmayer, Flor Avelino, Michele‐Lee Moore · 2018 · Cambridge University Press eBooks
81. A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data
    A. Ravishankar Rao, Subrata Garai, Daniel J. B. Clarke, Soumyabrata Dey · 2018 · International Joint Conference on Neural Networks (IJCNN)
82. Can Big Data Simplify the Complexity of Modern Medicine?
    Tariq Ahmad, Jeffrey Moore Testani, Nihar R. Desai · 2016 · JACC Heart Failure
83. Ethical sourcing in the context of health data supply chain management: a value sensitive design approach
    Camille Nebeker, Jean‐Christophe Bélisle‐Pipon, Benjamin Xavier Collins, Ashley Cordes, Kadija S. Ferryman, Brian James McInnis, Shannon K. McWeeney, Laurie Lovett Novak, Susannah Leigh Rose, Joseph Yracheta et al. · 2025 · JAMIA Open
84. Data sharing and privacy issues arising with COVID-19 data and applications
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85. Extracting patient-level data from the electronic health record: Expanding opportunities for health system research
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86. Factors and machine learning models for predicting successful discontinuation of continuous renal replacement therapy in critically ill patients with acute kidney injury: a retrospective cohort study based on MIMIC-IV database
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87. Types and sources of medical and other related data
    Vasileios C. Pezoulas, Themis P. Exarchos, Dimitrios I. Fotiadis · 2020 · Elsevier eBooks
88. Concierge care and patient reviews
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89. PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data
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90. Radiologists' interpretive skills in screening vs. diagnostic mammography: are they related?
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91. Macroeconomy and Urban Productivity
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92. Gaussian Process-Based Models for Clinical Time Series in Healthcare
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93. Explicating the mapping between big data and knowledge management: a systematic literature review and future directions
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94. Early prediction of hypothermia in pediatric intensive care units using machine learning
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95. Enabling Intelligent Decision Making: Harnessing Advanced Management Strategies for Enhanced Organizational Efficiency and Effectiveness
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96. Safeguarding Patient Confidentiality in Telemedicine: A Systematic Review of Privacy and Security Risks, and Best Practices for Data Protection
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97. An overview of future EU health systems. An insight into governance, primary care, data collection and citizens’ participation
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98. Association Between Physician Risk Assessment, Hierarchical Condition Categories, and Utilization of Medical Services
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99. Interpretation of Machine Learning Models for Medical Diagnosis
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100. Quantifying the scientific interest in surgical training and education: numerical evidence of a PubMed analysis
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