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Discussion of "Combining Health Data Uses to Ignite Health System Learning".

Methods of information in medicine

Denaxas S, Friedman CP, Geissbuhler A, Hemingway H, Kalra D, Kimura M, Kuhn KA, Payne TH, Payne HA, de Quiros FG, Wyatt JC.
PMID: 26538343
Methods Inf Med. 2015;54(6):488-99. doi: 10.3414/ME15-12-0004. Epub 2015 Nov 05.

This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper "Combining Health Data Uses to Ignite Health System Learning" written by John D. Ainsworth and Iain E. Buchan [1]. It is introduced by...

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Denaxas S, Friedman CP, Geissbuhler A, et al. Discussion of "Combining Health Data Uses to Ignite Health System Learning". Methods Inf Med. 2015;54(6):488-99doi: 10.3414/ME15-12-0004.
Denaxas, S., Friedman, C. P., Geissbuhler, A., Hemingway, H., Kalra, D., Kimura, M., Kuhn, K. A., Payne, T. H., Payne, H. A., de Quiros, F. G., & Wyatt, J. C. (2015). Discussion of "Combining Health Data Uses to Ignite Health System Learning". Methods of information in medicine, 54(6), 488-99. https://doi.org/10.3414/ME15-12-0004
Denaxas, S, et al. "Discussion of "Combining Health Data Uses to Ignite Health System Learning"." Methods of information in medicine vol. 54,6 (2015): 488-99. doi: https://doi.org/10.3414/ME15-12-0004
Denaxas S, Friedman CP, Geissbuhler A, Hemingway H, Kalra D, Kimura M, Kuhn KA, Payne TH, Payne HA, de Quiros FG, Wyatt JC. Discussion of "Combining Health Data Uses to Ignite Health System Learning". Methods Inf Med. 2015;54(6):488-99. doi: 10.3414/ME15-12-0004. Epub 2015 Nov 05. PMID: 26538343.
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Factors associated with nonattendance at clinical medicine scheduled outpatient appointments in a university general hospital.

Patient preference and adherence

Giunta D, Briatore A, Baum A, Luna D, Waisman G, de Quiros FG.
PMID: 24235820
Patient Prefer Adherence. 2013 Nov 08;7:1163-70. doi: 10.2147/PPA.S51841. eCollection 2013.

INTRODUCTION: Nonattendance at scheduled outpatient appointments for primary care is a major health care problem worldwide. Our aim was to estimate the prevalence of nonattendance at scheduled appointments for outpatients seeking primary care, to identify associated factors and build...

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Giunta D, Briatore A, Baum A, et al. Factors associated with nonattendance at clinical medicine scheduled outpatient appointments in a university general hospital. Patient Prefer Adherence. 2013;7:1163-70doi: 10.2147/PPA.S51841.
Giunta, D., Briatore, A., Baum, A., Luna, D., Waisman, G., & de Quiros, F. G. (2013). Factors associated with nonattendance at clinical medicine scheduled outpatient appointments in a university general hospital. Patient preference and adherence, 71163-70. https://doi.org/10.2147/PPA.S51841
Giunta, Diego, et al. "Factors associated with nonattendance at clinical medicine scheduled outpatient appointments in a university general hospital." Patient preference and adherence vol. 7 (2013): 1163-70. doi: https://doi.org/10.2147/PPA.S51841
Giunta D, Briatore A, Baum A, Luna D, Waisman G, de Quiros FG. Factors associated with nonattendance at clinical medicine scheduled outpatient appointments in a university general hospital. Patient Prefer Adherence. 2013 Nov 08;7:1163-70. doi: 10.2147/PPA.S51841. eCollection 2013. PMID: 24235820; PMCID: PMC3826940.
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Healthcare Information Systems to Assess Influenza Outbreaks: An analysis of the 2009 H1N1 Epidemic in Buenos Aires.

Applied clinical informatics

Figar S, Aliperti V, Salazar E, Otero C, Schpilberg M, Taliercio V, Otero P, de Quirós FG.
PMID: 23616861
Appl Clin Inform. 2011 Feb 23;2(1):75-85. doi: 10.4338/ACI-2010-05-RA-0030. Print 2011.

OBJECTIVE: To determine whether a private HIS could have detected the influenza epidemic outbreaks earlier through changes in morbidity and mortality patterns.METHODS: Data Source included a health information system (HIS) from an academic tertiary health care center integrating administrative...

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Figar S, Aliperti V, Salazar E, et al. Healthcare Information Systems to Assess Influenza Outbreaks: An analysis of the 2009 H1N1 Epidemic in Buenos Aires. Appl Clin Inform. 2011;2(1):75-85doi: 10.4338/ACI-2010-05-RA-0030.
Figar, S., Aliperti, V., Salazar, E., Otero, C., Schpilberg, M., Taliercio, V., Otero, P., & de Quirós, F. G. (2011). Healthcare Information Systems to Assess Influenza Outbreaks: An analysis of the 2009 H1N1 Epidemic in Buenos Aires. Applied clinical informatics, 2(1), 75-85. https://doi.org/10.4338/ACI-2010-05-RA-0030
Figar, S, et al. "Healthcare Information Systems to Assess Influenza Outbreaks: An analysis of the 2009 H1N1 Epidemic in Buenos Aires." Applied clinical informatics vol. 2,1 (2011): 75-85. doi: https://doi.org/10.4338/ACI-2010-05-RA-0030
Figar S, Aliperti V, Salazar E, Otero C, Schpilberg M, Taliercio V, Otero P, de Quirós FG. Healthcare Information Systems to Assess Influenza Outbreaks: An analysis of the 2009 H1N1 Epidemic in Buenos Aires. Appl Clin Inform. 2011 Feb 23;2(1):75-85. doi: 10.4338/ACI-2010-05-RA-0030. Print 2011. PMID: 23616861; PMCID: PMC3631916.
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[Implementation of telemedicine in the Americas: Barriers and facilitatorsBarreiras e facilitadores para a implementação da telemedicina nas Américas].

Revista panamericana de salud publica = Pan American journal of public health

Garcia Saiso S, Marti MC, Malek Pascha V, Pacheco A, Luna D, Plazzotta F, Nelson J, Tejerina L, Bagolle A, Savignano MC, Baum A, Orefice PJ, Haddad AE, Messina LA, Lopes P, Rubió FS, Otzoy D, Curioso WH, Luna A, Medina FM, Sommer J, Otero P, De Quiros FGB, D'Agostino M.
PMID: 34703460
Rev Panam Salud Publica. 2021 Oct 18;45:e131. doi: 10.26633/RPSP.2021.131. eCollection 2021.

With millions of people in the world in situations of physical distancing because of COVID-19, information and communication technology (ICT) has become as one of the principal means of interaction and collaboration. The following advantages of ICT have been...

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Garcia Saiso S, Marti MC, Malek Pascha V, et al. Barreras y facilitadores a la implementación de la telemedicina en las Américas. [Implementation of telemedicine in the Americas: Barriers and facilitatorsBarreiras e facilitadores para a implementação da telemedicina nas Américas]. Rev Panam Salud Publica. 2021;45:e131doi: 10.26633/RPSP.2021.131.
Garcia Saiso, S., Marti, M. C., Malek Pascha, V., Pacheco, A., Luna, D., Plazzotta, F., Nelson, J., Tejerina, L., Bagolle, A., Savignano, M. C., Baum, A., Orefice, P. J., Haddad, A. E., Messina, L. A., Lopes, P., Rubió, F. S., Otzoy, D., Curioso, W. H., Luna, A., Medina, F. M., Sommer, J., Otero, P., De Quiros, F. G. B., & D'Agostino, M. (2021). Barreras y facilitadores a la implementación de la telemedicina en las Américas. [Implementation of telemedicine in the Americas: Barriers and facilitatorsBarreiras e facilitadores para a implementação da telemedicina nas Américas]. Revista panamericana de salud publica = Pan American journal of public health, 45e131. https://doi.org/10.26633/RPSP.2021.131
Garcia Saiso, Sebastian, et al. "Barreras y facilitadores a la implementación de la telemedicina en las Américas." [Implementation of telemedicine in the Americas: Barriers and facilitatorsBarreiras e facilitadores para a implementação da telemedicina nas Américas]. Revista panamericana de salud publica = Pan American journal of public health vol. 45 (2021): e131. doi: https://doi.org/10.26633/RPSP.2021.131
Garcia Saiso S, Marti MC, Malek Pascha V, Pacheco A, Luna D, Plazzotta F, Nelson J, Tejerina L, Bagolle A, Savignano MC, Baum A, Orefice PJ, Haddad AE, Messina LA, Lopes P, Rubió FS, Otzoy D, Curioso WH, Luna A, Medina FM, Sommer J, Otero P, De Quiros FGB, D'Agostino M. Barreras y facilitadores a la implementación de la telemedicina en las Américas. [Implementation of telemedicine in the Americas: Barriers and facilitatorsBarreiras e facilitadores para a implementação da telemedicina nas Américas]. Rev Panam Salud Publica. 2021 Oct 18;45:e131. doi: 10.26633/RPSP.2021.131. eCollection 2021. Spanish. PMID: 34703460; PMCID: PMC8530000.
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Showing 1 to 4 of 4 entries