2014: IMIA Yearbook 2014

Journal: IMIA Yearbook
ISSN: 0943-4747
Topic:

Big Data - Smart Health Strategies


59 articles
1.

Yearb Med Inform 2014 : I-VI

[Summary] [Free PDF]
2.

President’s Statement

L. de Assis Moura Jr.

Director, AM eHealth - Porto Alegre, RS, Brazil

Yearb Med Inform 2014 : 1-2

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3.

Obituary

P. Degoulet, M. Fieschi, M. Goldberg, R. Salamon

Yearb Med Inform 2014 : 3-5

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4.

Editorial

C. U. Lehmann (1), B. Séroussi (2, 3), M.-C. Jaulent (3)

(1) Departments of Pediatrics and Biomedical Informatics, Vanderbilt University, Nashville, TN, USA; (2) Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, Paris, France; AP-HP, Hôpital Tenon, DSP, Paris, France; (3) INSERM, UMR_S1142, LIMICS, Paris, France

Yearb Med Inform 2014 : 6-7

http://dx.doi.org/10.15265/IY-2014-0030

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5.

Keynote

R. Bellazzi

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy

Yearb Med Inform 2014 : 8-13

http://dx.doi.org/10.15265/IY-2014-0024

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6.

Special Section: Big Data - Smart Health Strategies

Survey

F. Martin-Sanchez (1,2), K. Verspoor (1,2)

(1) Health and Biomedical Informatics Centre, The University of Melbourne, Parkville VIC 3010 Australia; (2) Department of Computing and Information Systems, The University of Melbourne, Parkville VIC 3010 Australia

Yearb Med Inform 2014 : 14-20

http://dx.doi.org/10.15265/IY-2014-0020

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7.

Special Section: Big Data - Smart Health Strategies

Working Group Contributions

M. M. Hansen (1), T. Miron-Shatz (2), A. Y. S. Lau (3), C. Paton (4)

(1) School of Nursing and Health Professions, University of San Francisco, San Francisco, California, USA; (2) Center for Medical Decision Making, Ono Academic College, Kiryat Ono, Israel; (3) Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Australia; (4) George Institute for Global Health, University of Oxford, Oxford, UK

Yearb Med Inform 2014 : 21-26

http://dx.doi.org/10.15265/IY-2014-0004

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8.

Special Section: Big Data - Smart Health Strategies

Working Group Contributions

H. Liyanage (1), S. de Lusignan (1), S-T. Liaw (2), C. E. Kuziemsky (3), F. Mold (1), P. Krause (4), D. Fleming (1), S. Jones (1)

(1) Clinical Informatics & Health Outcomes research group, Department of Health Care Policy and Management, University of Surrey, Guildford, Surrey, UK; (2) School of Public Health & Community Medicine, UNSW Medicine Australia, NSW, Australia; (3) Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada; (4) Department of Computing, University of Surrey, Guildford, Surrey, UK

Yearb Med Inform 2014 : 27-35

http://dx.doi.org/10.15265/IY-2014-0016

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9.

Special Section: Big Data - Smart Health Strategies

Working Group Contributions

D. R. Luna (1), J. C. Mayan (1), M. J. García (1), A. A. Almerares (1), M. Househ (2)

(1) Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; (2) King Saud Bin Abdulaziz University for Health Science, College of Public Health and Health Informatics, Riyadh, Kingdom of Saudi Arabia

Yearb Med Inform 2014 : 36-41

http://dx.doi.org/10.15265/IY-2014-0012

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10.

Special Section: Big Data - Smart Health Strategies

Working Group Contributions

N. Peek (1, 2), J. H. Holmes (3), J. Sun (4)

(1) Dept. of Medical Informatics, Academic Medical Center, University of Amsterdam, The Netherlands; (2) Centre for Health Informatics, Institute of Population Health, University of Manchester, Manchester, UK; (3) Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; (4) College of Computing, Georgia Institute of Technology, Atlanta, GA, USA

Yearb Med Inform 2014 : 42-47

http://dx.doi.org/10.15265/IY-2014-0018

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11.
Big Data - Smart Health Strategies
Findings from the Yearbook 2014 Special Theme

Special Section: Big Data - Smart Health Strategies

Synopsis

V. Koutkias (1), F. Thiessard (2)

(1) INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), F-93430, Villetaneuse, France; (2) Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Equipe de Recherche en Informatique Appliquée à la Santé, F-33000 Bordeaux, France

Yearb Med Inform 2014 : 48-51

http://dx.doi.org/10.15265/IY-2014-0031

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12.

Special Section: Big Data - Smart Health Strategies

Mudunuri US, Khouja M, Repetski S, Venkataraman G, Che A, Luke BT, Girard FP, Stephens RM Knowledge and Theme Discovery across Very Large Biological Data Sets Using Distributed Queries: A Prototype Combining Unstructured and Structured Data PLoS One 2013 Dec 2;8(12):e80503. http://dx.doi.org/10.1371/journal.pone.0080503

Post AR, Kurc T, Cholleti S, Gao J, Lin X, Bornstein W, Cantrell D, Levine D, Hohmann S, Saltz JH The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data J Biomed Inform 2013 Jun;46(3):410-24. http://dx.doi.org/10.1016/j.jbi.2013.01.005

O’Driscoll A, Daugelaite J, Sleator RD ‘Big data’, Hadoop and cloud computing in genomics J Biomed Inform 2013 Oct;46(5):774-81. http://dx.doi.org/10.1016/j.jbi.2013.07.001

LePendu P, Iyer SV, Bauer-Mehren A, Harpaz R, Mortensen JM, Podchiyska T, Ferris TA, Shah NH Pharmacovigilance Using Clinical Notes Clin Pharmacol Ther 2013 Jun;93(6):547-55. http://dx.doi.org/10.1038/clpt.2013.47

Yearb Med Inform 2014 : 50-51

[Summary]
13.

Section 1: Health and Clinical Management

Survey

C. Safran (1)

(1) Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

Yearb Med Inform 2014 : 52-54

http://dx.doi.org/10.15265/IY-2014-0013

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14.
Trends on Integrating Framework of Applications or Data
Findings from the Section on Health and Clinical Management

Section 1: Health and Clinical Management

Synopsis

N. Bricon-Souf (1), E. Conchon (1)

(1) University of Toulouse, IRIT, Castres, France

Yearb Med Inform 2014 : 55-57

http://dx.doi.org/10.15265/IY-2014-0032

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15.

Section 1: Health and Clinical Management

Marceglia S, Mazzola L, Bonacina S, Tarquini P, Donzelli P, Pinciroli F A comprehensive e-prescribing model to allow representing, comparing, and analyzing available systems Methods Inf Med 2013;52:199-219 http://dx.doi.org/10.3414/ME12-01-0069

Skalkowski K, Zielinski K Applying formalized rules for treatment procedures to data delivered by personal medical devices J Biomed Inform 2013;46:530-40 http://dx.doi.org/10.1016/j.jbi.2013.04.005

Capozzi D, Lanzola G A generic telemedicine infrastructure for monitoring an artificial pancreas trial Comput Methods Programs Biomed 2013;10:343-53 http://dx.doi.org/10.1016/j.cmpb.2013.01.011

Kauppi T, Kämäräinen JK, Lensu L, Kalesnykiene V, Sorri I, Uusitalo H, Kälviäinen Constructing benchmark databases and protocols for medical image analysis: diabetic retinopathy Comput Math Methods Med 2013;1-15 http://dx.doi.org/10.1016/j.cmpb.2013.01.011

Yearb Med Inform 2014 : 56-57

[Summary]
16.

Section 2: Human Factors and Organizational Issues

Survey

V. L. Patel (1), T. G. Kannampallil (1)

(1) Center for Cognitive Studies in Medicine and Public Health, The New York Academy of Medicine; New York, NY, USA

Yearb Med Inform 2014 : 58-66

http://dx.doi.org/10.15265/IY-2014-0005

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17.

Section 2: Human Factors and Organizational Issues

Working Group Contributions

A. Kushniruk (1, 2), J. Kaipio (3), M. Nieminen (3), H. Hyppönen (4), T. Lääveri (5), C. Nohr (2), A. M. Kanstrup (6), M. Berg Christiansen (2), M.-H. Kuo (1), E. Borycki (1)

(1) School of Health Information Science, University of Victoria, Victoria, Canada; (2) Department of Development and Planning, Aalborg University, Aalborg, Denmark; (3) Strategic Usability Research Group, Department of Computer Science and Engineering, Aalto University, Espoo, Finland; (4) Information Department, National Institute of Health and Welfare THL, Helsinki, Finland; (5) Division of Infectious Diseases, Dept. of Medicine, Helsinki University Central Hospital, Helsinki, Finland; (6) Department of Communication and Psychology, Aalborg University, Aalborg, Denmark

Yearb Med Inform 2014 : 67-81

http://dx.doi.org/10.15265/IY-2014-0023

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18.

Section 2: Human Factors and Organizational Issues

Working Group Contributions

C. E. Kuziemsky (1), H. Monkman (2), C. Petersen (3), J. Weber (4), E. M. Borycki (2), S. Adams (5), S. Collins (6)

(1) Telfer School of Management, University of Ottawa, Ottawa, ON, Canada; (2) School of Health Information Science, University of Victoria, Victoria, BC, Canada; (3) Mayo Clinic, Rochester, MN, USA; (4) Department of Computer Science, University of Victoria, Victoria, BC, Canada; (5) Tilburg Institute for Law, Technology and Society, Tilburg University, Tilburg, The Netherlands; (6) Partners eCare, Partners Healthcare Systems, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA

Yearb Med Inform 2014 : 82-89

http://dx.doi.org/10.15265/IY-2014-0014

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19.

Section 2: Human Factors and Organizational Issues

Synopsis

G. Declerck (1), X. Aimé (1)

(1) INSERM, U1142, LIMICS, F-75006, Paris, France Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), F-93430, Villetaneuse, France

Yearb Med Inform 2014 : 90-96

http://dx.doi.org/10.15265/IY-2014-0033

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20.

Section 2: Human Factors and Organizational Issues

Lanham HJ, Sittig DF, Leykum LK, Parchman ML, Pugh JA, McDaniel RR Understanding differences in electronic health record (EHR) use: linking individual physicians' perceptions of uncertainty and EHR use patterns in ambulatory care J Am Med Inform Assoc. 2014 Jan 1;21(1):73-81  http://dx.doi.org/10.1136/amiajnl-2012-001377

Smith SW, Koppel R Healthcare information technology's relativity problems: a typology of how patients' physical reality, clinicians' mental models, and healthcare information technology differ J Am Med Inform Assoc. 2014 Jan 1;21(1):117-31 http://dx.doi.org/10.1136/amiajnl-2012-001419

Hilligoss B, Zheng K Chart biopsy: an emerging medical practice enabled by electronic health records and its impacts on emergency department-inpatient admission handoffs J Am Med Inform Assoc 2013 Mar-Apr;20(2):260-7 http://dx.doi.org/10.1136/amiajnl-2012-001065

Flanagan ME, Saleem JJ, Millitello LG, Russ AL, Doebbeling BN Paper- and computer-based workarounds to electronic health record use at three benchmark institutions J Am Med Inform Assoc. 2013 Jun;20(e1):e59-66  http://dx.doi.org/10.1136/amiajnl-2012-000982

Babbott S, Manwell LB, Brown R, Montague E, Williams E, Schwartz M, Hess E, Linzer M Electronic medical records and physician stress in primary care: results from the MEMO Study J Am Med Inform Assoc 2014 Feb;21(e1):e100-6 http://dx.doi.org/10.1136/amiajnl-2013-001875 

Yearb Med Inform 2014 : 93-95

[Summary]