Big data science: A literature review of nursing research exemplars.
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Jung In Park | Lisiane Pruinelli | Martha Sylvia | Dianna S. Dodd | Grace Gao | Bonnie L Westra | Rachel L Richesson | Connie W Delaney | Gail M Keenan | Lisiane Pruinelli | B. Westra | C. Delaney | R. Richesson | M. Sylvia | G. Keenan | Elizabeth F Weinfurter | Dianna Dodd | Patricia Senk | Vicki Baukner | Christopher Cruz | Luann Whittenburg | J. Park | Grace Gao | Christopher Cruz | LuAnn Whittenburg | E. Weinfurter | Patricia A. Senk | Vicki Baukner | Elizabeth Weinfurter
[1] Christine A. Sinsky,et al. From Triple to Quadruple Aim: Care of the Patient Requires Care of the Provider , 2014, The Annals of Family Medicine.
[2] Tapio Salakoski,et al. Predicting patient acuity from electronic patient records , 2014, J. Biomed. Informatics.
[3] Matthew W. Tanzer,et al. Successful electronic implementation of discharge referral decision support has a positive impact on 30- and 60-day readmissions. , 2015, Research in nursing & health.
[4] Lorraine R. Buis,et al. Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part I): Assessment of Participant Reach and Adoption , 2013, Journal of medical Internet research.
[5] E. Krishnan,et al. Big Data and Clinicians: A Review on the State of the Science , 2014, JMIR medical informatics.
[6] Gail M. Keenan,et al. Nurse Continuity and Hospital-Acquired Pressure Ulcers: A Comparative Analysis Using an Electronic Health Record “Big Data” Set , 2015, Nursing research.
[7] David W. Bates,et al. Using EHR data to predict hospital-acquired pressure ulcers: A prospective study of a Bayesian Network model , 2013, Int. J. Medical Informatics.
[8] Suzanne Bakken,et al. Nursing Needs Big Data and Big Data Needs Nursing. , 2015, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.
[9] Mohammad Khalilia,et al. Quantifying care coordination using natural language processing and domain-specific ontology , 2015, J. Am. Medical Informatics Assoc..
[10] R. Scott Evans,et al. Patient-level analysis of outcomes using structured labor and delivery data , 2009, J. Biomed. Informatics.
[11] Kay Savik,et al. Problem Stabilization: A Metric for Problem Improvement in Home Visiting Clients. , 2011, Applied clinical informatics.
[12] Dheeraj Raju,et al. Exploring factors associated with pressure ulcers: a data mining approach. , 2015, International journal of nursing studies.
[13] PhD Faan Facmi Patricia Flatley Brennan Rn,et al. Nursing Needs Big Data and Big Data Needs Nursing , 2015 .
[14] Vasant Dhar,et al. Data science and prediction , 2012, CACM.
[15] Bonnie L. Westra,et al. Automation of a high risk medication regime algorithm in a home health care population , 2014, J. Biomed. Informatics.
[16] Tony Hey,et al. The Fourth Paradigm: Data-Intensive Scientific Discovery , 2009 .
[17] Ting-Ting Lee,et al. Application of data mining to the identification of critical factors in patient falls using a web-based reporting system , 2011, Int. J. Medical Informatics.
[18] Suzanne Bakken,et al. Exploring the Ability of Natural Language Processing to Extract Data From Nursing Narratives , 2009, Computers, informatics, nursing : CIN.
[19] R. Shaw,et al. Patient-Provider Internet Portals—Patient Outcomes and Use , 2011, Computers, informatics, nursing : CIN.
[20] Lorraine R. Buis,et al. Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy , 2013, Journal of medical Internet research.
[21] M. Mills,et al. Factors Related to the Prevention and Management of Pressure Ulcers , 2012, Computers, informatics, nursing : CIN.
[22] Diane L. Seger,et al. The effect of provider characteristics on the responses to medication-related decision support alerts , 2015, Int. J. Medical Informatics.
[23] B L Westra,et al. Optimization of Decision Support Tool using Medication Regimens to Assess Rehospitalization Risks , 2014, Applied Clinical Informatics.
[24] Kathleen M. Carley,et al. Transition Networks in a Cohort of Patients with Congestive Heart Failure , 2015, Applied Clinical Informatics.
[25] Z. Obermeyer,et al. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. , 2016, The New England journal of medicine.
[26] Xiaoqian Jiang,et al. Trends in Publication of Nursing Informatics Research , 2014, AMIA.
[27] R. Kitchin,et al. Big Data, new epistemologies and paradigm shifts , 2014, Big Data Soc..
[28] Ian Gray,et al. Three maps and three misunderstandings: A digital mapping of climate diplomacy , 2014, Big Data Soc..
[29] B L Westra,et al. Exploring the Value of Clinical Data Standards to Predict Hospitalization of Home Care Patients , 2012, Applied Clinical Informatics.
[30] Murtaza Haider,et al. Beyond the hype: Big data concepts, methods, and analytics , 2015, Int. J. Inf. Manag..
[31] R. Kurzweil,et al. The Singularity Is Near: When Humans Transcend Biology , 2006 .
[32] Atanu Chatterjee. Intrinsic Limitations of the Human Mind , 2012 .
[33] Maria J Grant,et al. A typology of reviews: an analysis of 14 review types and associated methodologies. , 2009, Health information and libraries journal.
[34] Bernard Marr,et al. Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance , 2015 .