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Showing 1 to 12 of 256 entries
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Erratum to: Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing.

BMC medical informatics and decision making

Seymour RB, Leas D, Wally MK, Hsu JR.
PMID: 27670911
BMC Med Inform Decis Mak. 2016 Sep 26;16(1):125. doi: 10.1186/s12911-016-0364-6.

No abstract available.

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Seymour RB, Leas D, Wally MK, et al. Erratum to: Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing. BMC Med Inform Decis Mak. 2016;16(1):125doi: 10.1186/s12911-016-0364-6.
Seymour, R. B., Leas, D., Wally, M. K., Hsu, J. R. (2016). Erratum to: Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing. BMC medical informatics and decision making, 16(1), 125. https://doi.org/10.1186/s12911-016-0364-6
Seymour, Rachel B, et al. "Erratum to: Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing." BMC medical informatics and decision making vol. 16,1 (2016): 125. doi: https://doi.org/10.1186/s12911-016-0364-6
Seymour RB, Leas D, Wally MK, Hsu JR. Erratum to: Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing. BMC Med Inform Decis Mak. 2016 Sep 26;16(1):125. doi: 10.1186/s12911-016-0364-6. PMID: 27670911; PMCID: PMC5036324.
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Identification of genomic features in the classification of loss- and gain-of-function mutation.

BMC medical informatics and decision making

Jung S, Lee S, Kim S, Nam H.
PMID: 26043747
BMC Med Inform Decis Mak. 2015;15:S6. doi: 10.1186/1472-6947-15-S1-S6. Epub 2015 May 20.

BACKGROUND: Alterations of a genome can lead to changes in protein functions. Through these genetic mutations, a protein can lose its native function (loss-of-function, LoF), or it can confer a new function (gain-of-function, GoF). However, when a mutation occurs,...

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Jung S, Lee S, Kim S, et al. Identification of genomic features in the classification of loss- and gain-of-function mutation. BMC Med Inform Decis Mak. 2015;15:S6doi: 10.1186/1472-6947-15-S1-S6.
Jung, S., Lee, S., Kim, S., & Nam, H. (2015). Identification of genomic features in the classification of loss- and gain-of-function mutation. BMC medical informatics and decision making, 15S6. https://doi.org/10.1186/1472-6947-15-S1-S6
Jung, Seunghwan, et al. "Identification of genomic features in the classification of loss- and gain-of-function mutation." BMC medical informatics and decision making vol. 15 (2015): S6. doi: https://doi.org/10.1186/1472-6947-15-S1-S6
Jung S, Lee S, Kim S, Nam H. Identification of genomic features in the classification of loss- and gain-of-function mutation. BMC Med Inform Decis Mak. 2015;15:S6. doi: 10.1186/1472-6947-15-S1-S6. Epub 2015 May 20. PMID: 26043747; PMCID: PMC4460711.
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Learning temporal weights of clinical events using variable importance.

BMC medical informatics and decision making

Zhao J, Henriksson A.
PMID: 27459993
BMC Med Inform Decis Mak. 2016 Jul 21;16:71. doi: 10.1186/s12911-016-0311-6.

BACKGROUND: Longitudinal data sources, such as electronic health records (EHRs), are very valuable for monitoring adverse drug events (ADEs). However, ADEs are heavily under-reported in EHRs. Using machine learning algorithms to automatically detect patients that should have had ADEs...

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Zhao J, Henriksson A. Learning temporal weights of clinical events using variable importance. BMC Med Inform Decis Mak. 2016;16:71doi: 10.1186/s12911-016-0311-6.
Zhao, J., & Henriksson, A. (2016). Learning temporal weights of clinical events using variable importance. BMC medical informatics and decision making, 1671. https://doi.org/10.1186/s12911-016-0311-6
Zhao, Jing, and Henriksson, Aron. "Learning temporal weights of clinical events using variable importance." BMC medical informatics and decision making vol. 16 (2016): 71. doi: https://doi.org/10.1186/s12911-016-0311-6
Zhao J, Henriksson A. Learning temporal weights of clinical events using variable importance. BMC Med Inform Decis Mak. 2016 Jul 21;16:71. doi: 10.1186/s12911-016-0311-6. PMID: 27459993; PMCID: PMC4965710.
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Forty years of SNOMED: a literature review.

BMC medical informatics and decision making

Cornet R, de Keizer N.
PMID: 19007439
BMC Med Inform Decis Mak. 2008 Oct 27;8:S2. doi: 10.1186/1472-6947-8-S1-S2.

BACKGROUND: Over a period of 40 years, SNOMED has developed from a pathology-specific nomenclature (SNOP) into a logic-based health care terminology. In spite of its long existence and continuous evolvement, it is yet unknown to what extent SNOMED is...

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Cornet R, de Keizer N. Forty years of SNOMED: a literature review. BMC Med Inform Decis Mak. 2008;8:S2doi: 10.1186/1472-6947-8-S1-S2.
Cornet, R., & de Keizer, N. (2008). Forty years of SNOMED: a literature review. BMC medical informatics and decision making, 8S2. https://doi.org/10.1186/1472-6947-8-S1-S2
Cornet, Ronald, and de Keizer, Nicolette. "Forty years of SNOMED: a literature review." BMC medical informatics and decision making vol. 8 (2008): S2. doi: https://doi.org/10.1186/1472-6947-8-S1-S2
Cornet R, de Keizer N. Forty years of SNOMED: a literature review. BMC Med Inform Decis Mak. 2008 Oct 27;8:S2. doi: 10.1186/1472-6947-8-S1-S2. PMID: 19007439; PMCID: PMC2582789.
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How information systems should support the information needs of general dentists in clinical settings: suggestions from a qualitative study.

BMC medical informatics and decision making

Song M, Spallek H, Polk D, Schleyer T, Wali T.
PMID: 20122272
BMC Med Inform Decis Mak. 2010 Feb 02;10:7. doi: 10.1186/1472-6947-10-7.

BACKGROUND: A major challenge in designing useful clinical information systems in dentistry is to incorporate clinical evidence based on dentists' information needs and then integrate the system seamlessly into the complex clinical workflow. However, little is known about the...

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Song M, Spallek H, Polk D, et al. How information systems should support the information needs of general dentists in clinical settings: suggestions from a qualitative study. BMC Med Inform Decis Mak. 2010;10:7doi: 10.1186/1472-6947-10-7.
Song, M., Spallek, H., Polk, D., Schleyer, T., & Wali, T. (2010). How information systems should support the information needs of general dentists in clinical settings: suggestions from a qualitative study. BMC medical informatics and decision making, 107. https://doi.org/10.1186/1472-6947-10-7
Song, Mei, et al. "How information systems should support the information needs of general dentists in clinical settings: suggestions from a qualitative study." BMC medical informatics and decision making vol. 10 (2010): 7. doi: https://doi.org/10.1186/1472-6947-10-7
Song M, Spallek H, Polk D, Schleyer T, Wali T. How information systems should support the information needs of general dentists in clinical settings: suggestions from a qualitative study. BMC Med Inform Decis Mak. 2010 Feb 02;10:7. doi: 10.1186/1472-6947-10-7. PMID: 20122272; PMCID: PMC2843644.
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Making decisions in a complex information environment: evidential preference and information we trust.

BMC medical informatics and decision making

Sanders Thompson VL.
PMID: 24565305
BMC Med Inform Decis Mak. 2013;13:S7. doi: 10.1186/1472-6947-13-S3-S7. Epub 2013 Dec 06.

BACKGROUND: Informed decision making requires that those individuals making health and health-care decisions understand the advantages and disadvantages associated with particular health options. Research and theory suggest factors that contribute to the decision-making process: data on the likelihood of...

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Sanders Thompson VL. Making decisions in a complex information environment: evidential preference and information we trust. BMC Med Inform Decis Mak. 2013;13:S7doi: 10.1186/1472-6947-13-S3-S7.
Sanders Thompson, V. L. (2013). Making decisions in a complex information environment: evidential preference and information we trust. BMC medical informatics and decision making, 13S7. https://doi.org/10.1186/1472-6947-13-S3-S7
Sanders Thompson, Vetta L. "Making decisions in a complex information environment: evidential preference and information we trust." BMC medical informatics and decision making vol. 13 (2013): S7. doi: https://doi.org/10.1186/1472-6947-13-S3-S7
Sanders Thompson VL. Making decisions in a complex information environment: evidential preference and information we trust. BMC Med Inform Decis Mak. 2013;13:S7. doi: 10.1186/1472-6947-13-S3-S7. Epub 2013 Dec 06. PMID: 24565305; PMCID: PMC4028800.
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Supporting informed decision making when clinical evidence and conventional wisdom collide: papers developed from the Eisenberg Center Conference Series 2012.

BMC medical informatics and decision making

Volk RJ, Street R, Smith Q, Fordis M.
PMID: 24625302
BMC Med Inform Decis Mak. 2013;13:S1. doi: 10.1186/1472-6947-13-S3-S1. Epub 2013 Dec 06.

No abstract available.

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Volk RJ, Street R, Smith Q, et al. Supporting informed decision making when clinical evidence and conventional wisdom collide: papers developed from the Eisenberg Center Conference Series 2012. BMC Med Inform Decis Mak. 2013;13:S1doi: 10.1186/1472-6947-13-S3-S1.
Volk, R. J., Street, R., Smith, Q., & Fordis, M. (2013). Supporting informed decision making when clinical evidence and conventional wisdom collide: papers developed from the Eisenberg Center Conference Series 2012. BMC medical informatics and decision making, 13S1. https://doi.org/10.1186/1472-6947-13-S3-S1
Volk, Robert J, et al. "Supporting informed decision making when clinical evidence and conventional wisdom collide: papers developed from the Eisenberg Center Conference Series 2012." BMC medical informatics and decision making vol. 13 (2013): S1. doi: https://doi.org/10.1186/1472-6947-13-S3-S1
Volk RJ, Street R, Smith Q, Fordis M. Supporting informed decision making when clinical evidence and conventional wisdom collide: papers developed from the Eisenberg Center Conference Series 2012. BMC Med Inform Decis Mak. 2013;13:S1. doi: 10.1186/1472-6947-13-S3-S1. Epub 2013 Dec 06. PMID: 24625302; PMCID: PMC4028851.
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Erratum to: development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study.

BMC medical informatics and decision making

Petersen M, Hempler NF.
PMID: 28899375
BMC Med Inform Decis Mak. 2017 Sep 12;17(1):133. doi: 10.1186/s12911-017-0525-2.

No abstract available.

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Petersen M, Hempler NF. Erratum to: development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study. BMC Med Inform Decis Mak. 2017;17(1):133doi: 10.1186/s12911-017-0525-2.
Petersen, M., & Hempler, N. F. (2017). Erratum to: development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study. BMC medical informatics and decision making, 17(1), 133. https://doi.org/10.1186/s12911-017-0525-2
Petersen, Mira, and Hempler, Nana F. "Erratum to: development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study." BMC medical informatics and decision making vol. 17,1 (2017): 133. doi: https://doi.org/10.1186/s12911-017-0525-2
Petersen M, Hempler NF. Erratum to: development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study. BMC Med Inform Decis Mak. 2017 Sep 12;17(1):133. doi: 10.1186/s12911-017-0525-2. PMID: 28899375; PMCID: PMC5596898.
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The QUEST for quality online health information: validation of a short quantitative tool.

BMC medical informatics and decision making

Robillard JM, Jun JH, Lai JA, Feng TL.
PMID: 30340488
BMC Med Inform Decis Mak. 2018 Oct 19;18(1):87. doi: 10.1186/s12911-018-0668-9.

BACKGROUND: Online health information is unregulated and can be of highly variable quality. There is currently no singular quantitative tool that has undergone a validation process, can be used for a broad range of health information, and strikes a...

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Robillard JM, Jun JH, Lai JA, et al. The QUEST for quality online health information: validation of a short quantitative tool. BMC Med Inform Decis Mak. 2018;18(1):87doi: 10.1186/s12911-018-0668-9.
Robillard, J. M., Jun, J. H., Lai, J. A., & Feng, T. L. (2018). The QUEST for quality online health information: validation of a short quantitative tool. BMC medical informatics and decision making, 18(1), 87. https://doi.org/10.1186/s12911-018-0668-9
Robillard, Julie M, et al. "The QUEST for quality online health information: validation of a short quantitative tool." BMC medical informatics and decision making vol. 18,1 (2018): 87. doi: https://doi.org/10.1186/s12911-018-0668-9
Robillard JM, Jun JH, Lai JA, Feng TL. The QUEST for quality online health information: validation of a short quantitative tool. BMC Med Inform Decis Mak. 2018 Oct 19;18(1):87. doi: 10.1186/s12911-018-0668-9. PMID: 30340488; PMCID: PMC6194721.
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Correction to: Methods for identifying 30 chronic conditions: application to administrative data.

BMC medical informatics and decision making

Tonelli M, Wiebe N, Fortin M, Guthrie B, Hemmelgarn BR, James MT, Klarenbach SW, Lewanczuk R, Manns BJ, Ronksley P, Sargious P, Straus S, Quan H.
PMID: 31484516
BMC Med Inform Decis Mak. 2019 Sep 04;19(1):177. doi: 10.1186/s12911-019-0900-2.

Following publication of the original manuscript [1], the authors noted several errors in Table 1. Details of the requested corrections are shown below.

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Tonelli M, Wiebe N, Fortin M, et al. Correction to: Methods for identifying 30 chronic conditions: application to administrative data. BMC Med Inform Decis Mak. 2019;19(1):177doi: 10.1186/s12911-019-0900-2.
Tonelli, M., Wiebe, N., Fortin, M., Guthrie, B., Hemmelgarn, B. R., James, M. T., Klarenbach, S. W., Lewanczuk, R., Manns, B. J., Ronksley, P., Sargious, P., Straus, S., Quan, H. (2019). Correction to: Methods for identifying 30 chronic conditions: application to administrative data. BMC medical informatics and decision making, 19(1), 177. https://doi.org/10.1186/s12911-019-0900-2
Tonelli, Marcello, et al. "Correction to: Methods for identifying 30 chronic conditions: application to administrative data." BMC medical informatics and decision making vol. 19,1 (2019): 177. doi: https://doi.org/10.1186/s12911-019-0900-2
Tonelli M, Wiebe N, Fortin M, Guthrie B, Hemmelgarn BR, James MT, Klarenbach SW, Lewanczuk R, Manns BJ, Ronksley P, Sargious P, Straus S, Quan H. Correction to: Methods for identifying 30 chronic conditions: application to administrative data. BMC Med Inform Decis Mak. 2019 Sep 04;19(1):177. doi: 10.1186/s12911-019-0900-2. PMID: 31484516; PMCID: PMC6724375.
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Correction to: Using decision fusion methods to improve outbreak detection in disease surveillance.

BMC medical informatics and decision making

Texier G, Allodji RS, Diop L, Meynard JB, Pellegrin L, Chaudet H.
PMID: 30922348
BMC Med Inform Decis Mak. 2019 Mar 28;19(1):81. doi: 10.1186/s12911-019-0802-3.

Following publication of the original article [1], the authors reported that one of the authors' names is spelled incorrectly.

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Texier G, Allodji RS, Diop L, et al. Correction to: Using decision fusion methods to improve outbreak detection in disease surveillance. BMC Med Inform Decis Mak. 2019;19(1):81doi: 10.1186/s12911-019-0802-3.
Texier, G., Allodji, R. S., Diop, L., Meynard, J. B., Pellegrin, L., & Chaudet, H. (2019). Correction to: Using decision fusion methods to improve outbreak detection in disease surveillance. BMC medical informatics and decision making, 19(1), 81. https://doi.org/10.1186/s12911-019-0802-3
Texier, Gaëtan, et al. "Correction to: Using decision fusion methods to improve outbreak detection in disease surveillance." BMC medical informatics and decision making vol. 19,1 (2019): 81. doi: https://doi.org/10.1186/s12911-019-0802-3
Texier G, Allodji RS, Diop L, Meynard JB, Pellegrin L, Chaudet H. Correction to: Using decision fusion methods to improve outbreak detection in disease surveillance. BMC Med Inform Decis Mak. 2019 Mar 28;19(1):81. doi: 10.1186/s12911-019-0802-3. PMID: 30922348; PMCID: PMC6440117.
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Customization scenarios for de-identification of clinical notes.

BMC medical informatics and decision making

Hartman T, Howell MD, Dean J, Hoory S, Slyper R, Laish I, Gilon O, Vainstein D, Corrado G, Chou K, Po MJ, Williams J, Ellis S, Bee G, Hassidim A, Amira R, Beryozkin G, Szpektor I, Matias Y.
PMID: 32000770
BMC Med Inform Decis Mak. 2020 Jan 30;20(1):14. doi: 10.1186/s12911-020-1026-2.

BACKGROUND: Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been limited due to uncertainty about...

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Hartman T, Howell MD, Dean J, et al. Customization scenarios for de-identification of clinical notes. BMC Med Inform Decis Mak. 2020;20(1):14doi: 10.1186/s12911-020-1026-2.
Hartman, T., Howell, M. D., Dean, J., Hoory, S., Slyper, R., Laish, I., Gilon, O., Vainstein, D., Corrado, G., Chou, K., Po, M. J., Williams, J., Ellis, S., Bee, G., Hassidim, A., Amira, R., Beryozkin, G., Szpektor, I., & Matias, Y. (2020). Customization scenarios for de-identification of clinical notes. BMC medical informatics and decision making, 20(1), 14. https://doi.org/10.1186/s12911-020-1026-2
Hartman, Tzvika, et al. "Customization scenarios for de-identification of clinical notes." BMC medical informatics and decision making vol. 20,1 (2020): 14. doi: https://doi.org/10.1186/s12911-020-1026-2
Hartman T, Howell MD, Dean J, Hoory S, Slyper R, Laish I, Gilon O, Vainstein D, Corrado G, Chou K, Po MJ, Williams J, Ellis S, Bee G, Hassidim A, Amira R, Beryozkin G, Szpektor I, Matias Y. Customization scenarios for de-identification of clinical notes. BMC Med Inform Decis Mak. 2020 Jan 30;20(1):14. doi: 10.1186/s12911-020-1026-2. PMID: 32000770; PMCID: PMC6993314.
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Showing 1 to 12 of 256 entries