2015: IMIA Yearbook 2015

Journal: IMIA Yearbook
ISSN: 0943-4747

Patient-Centered Care Coordination

59 articles

Section 9: Clinical Research Informatics


M. Dugas

(1) Institute of Medical Informatics, University of Münster, Germany; (2) European Research Center for information systems (ERCIS)

Yearb Med Inform 2015 : 174-177

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Information Technology for Clinical, Translational and Comparative Effectiveness Research
Findings from the Yearbook 2015 Section on Clinical Research Informatics

Section 9: Clinical Research Informatics


C. Daniel (1, 2), R. Choquet (1, 3)

(1) INSERM UMRS 1142, Paris, France; (2) Direction of Information Systems, AP-HP, Paris, France; (3) BNDMR, Necker Hospital for Children, AP-HP, Paris, France

Yearb Med Inform 2015 : 178-182

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Section 9: Clinical Research Informatics

De Moor G, Sundgren M, Kalra D, Schmidt A, Dugas M, Claerhout B, Karakoyun T, Ohmann C, Lastic PY, Ammour N, Kush R, Dupont D, Cuggia M, Daniel C, Thienpont G, Coorevits P. Using electronic health records for clinical research: the case of the EHR4CR project. J Biomed Inform 2015 Feb;53:162-73

Rusanov A, Weiskopf NG, Wang S, Weng C. Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research. BMC Med Inform Decis Mak 2014 Jun 11;14:51

Sahoo SS, Lhatoo SD, Gupta DK, Cui L, Zhao M, Jayapandian C, Bozorgi A, Zhang GQ. Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. J Am Med Inform Assoc 2014 Jan-Feb;21(1):82-9

Schreiweis B, Trinczek B, Köpcke F, Leusch T, Majeed RW, Wenk J, Bergh B, Ohmann C, Röhrig R, Dugas M, Prokosch HU. Comparison of electronic health record system functionalities to support the patient recruitment process in clinical trials. Int J Med Inform 2014 Nov;8-(11):860-8

Yearb Med Inform 2015 : 181-182


Section 10: Natural Language Processing


S. Velupillai (1), D. Mowery (2), B. R. South (2), M. Kvist (1, 3), H. Dalianis (1)

(1) Department of Computer and Systems Sciences, (DSV), Stockholm University, Stockholm, Sweden; (2) Department of Biomedical Informatics, University of Utah, Salt Lake City, USA; (3) Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Sweden

Yearb Med Inform 2015 : 183-193

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Section 10: Natural Language Processing


A. Névéol (1), P. Zweigenbaum (1)

(1) LIMSI CNRS UPR 3251, Orsay, France

Yearb Med Inform 2015 : 194-198

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Section 10: Natural Language Processing

Biyani P, Caragea C, Mitra P, Yen J. Identifying emotional and informational support in online health communities. Proc COLING 2014 Sept:827-36 Link

Carrell DS, Halgrim S, Tran DT, Buist DS, Chubak J, Chapman WW, Savova G. Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence. Am J Epidemiol 2014 Mar 15;179(6):749-58

Chasin R, Rumshisky A, Uzuner Ö, Szolovits P. Word sense disambiguation in the clinical domain: a comparison of knowledge-rich andknowledge-poor unsupervised methods. J Am Med Inform Assoc 2014 Sep-Oct;21(5):842-9

Raghavan P, Fosler-Lussier E, Elhadad N, Lai A. Cross-narrative temporal ordering of medical events. Proc ACL 2014:998-1008 Link

Wu S, Miller T, Masanz J, Coarr M, Halgrim S, Carrell D, Clark C. Negation's not solved: generalizability versus optimizability in clinical natural language processing. PLoS One 2014 Nov 13;9(11):e112774

Yearb Med Inform 2015 : 197-198


Section 11: Public Health ans Epidemiology Informatics


B. E. Dixon (1, 2, 3), H. Kharrazi (4, 5), H. P. Lehmann (4)

(1) Richard M. Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis, Indianapolis, IN, USA; (2) Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA; (3) Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA; (4) Johns Hopkins University, Baltimore MD; (5) Center for Population Health IT, Johns Hopkins School of Public Health, Baltimore MD

Yearb Med Inform 2015 : 199-206

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Patient-Centred Coordinated Care in Times of Emerging Diseases and Epidemics
Contribution of the IMIA Working Group on Patient Safety

Section 11: Public Health ans Epidemiology Informatics

Working Group Contribution

E. Borycki (1), E. Cummings (2), J. W. Dexheimer (3), Y. Gong (4), S. Kennebeck (5), A. Kushniruk (1), C. Kuziemsky (6), K. Saranto (7), J. Weber (1), H. Takeda (8)

(1) School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada; (2) School of Health Sciences, Faculty of Health, University of Tasmania, Hobart, Tasmania, Australia; (3) Division of Emergency Medicine, Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; (4) School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA; (5) Division of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; (6) Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada; (7) Department of Health and Social Management, University of Eastern Finland, Kuopio, Kuopio, Finland; (8) Graduate School of Health Care Sciences, Jikei Institute, Osaka, Japan

Yearb Med Inform 2015 : 207-215

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Section 11: Public Health ans Epidemiology Informatics


L. Toubiana (1), N. Griffon (1, 2)

(1) INSERM UMRS 1142 LIMICS, Université Pierre et Marie Curie, Paris, France; (2) BioMedical Informatics Department & CISMeF, TIBS, LITIS EA 4108, Rouen University Hospital, Normandy, Rouen, France

Yearb Med Inform 2015 : 216-219

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Section 11: Public Health ans Epidemiology Informatics  

Barboza P, Vaillant L, Le Strat Y, Hartley DM, Nelson NP, Mawudeku A, Madoff LC, Linge JP, Collier N, Brownstein JS, Astagneau P. Factors influencing performance of internet-based biosurveillance systems used in epidemic intelligence for early detection of infectious diseases outbreaks. PLoS One 2014;9:e90536

Khormi HM, Kumar L. Climate change and the potential global distribution of Aedes aegypti: spatial modelling using GIS and CLIMEX. Geospat Health 2014;8:405-15

Pawelek KA, Oeldorf-Hirsch A, Rong L. Modeling the impact of twitter on influenza epidemics. Math Biosci Eng 2014;11:1337-56 Link

Rutter P, Mytton O, Ellis B, Donaldson L. Access to the NHS by telephone and Internet during an influenza pandemic: an observational study. BMJ Open 2014;4:e004174 Link

Yearb Med Inform 2015 : 218-219


Research & Education

I. Chouvarda (1, 2), N. Maglaveras (1, 2)

(1) Lab of Medical Informatics, Medical School, Aristotle University of Thessaloniki, Greece; (2) Institute of Applied Biosciences, Centre for Research & Technology Hellas, Greece

Yearb Med Inform 2015 : 220-226

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History of Medical Informatics

C. A. Kulikowski

Department of Computer Science, Rutgers - The State University of New Jersey, Piscataway, New Jersey, USA

Yearb Med Inform 2015 : 227-233

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Information on IMIA

Yearb Med Inform 2015 : 234-236

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Information on IMIA Members

Yearb Med Inform 2015 : 237-240

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Addresses of IMIA Member Societies

Yearb Med Inform 2015 : 241-255

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Information on IMIA Regional Groups

Yearb Med Inform 2015 : 256-271

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EFMI Working and Project Groups - Overview and Current Activities

Yearb Med Inform 2015 : 272-285

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Contributors to the 2015 IMIA Yearbook of Medical Informatics

Yearb Med Inform 2015 : 286-286

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Yearb Med Inform 2015 : 287-287

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