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Checking the lists: A systematic review of electronic checklist use in health care.

Journal of biomedical informatics

Kramer HS, Drews FA.
PMID: 27623535
J Biomed Inform. 2017 Jul;71:S6-S12. doi: 10.1016/j.jbi.2016.09.006. Epub 2016 Sep 10.

OBJECTIVE: We conducted a literature search to examine the effects and experiences surrounding the transition from paper to electronic checklists in healthcare settings. We explore the types of electronic checklists being used in health care, how and where they...

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Kramer HS, Drews FA. Checking the lists: A systematic review of electronic checklist use in health care. J Biomed Inform. 2016;71:S6-S12doi: 10.1016/j.jbi.2016.09.006.
Kramer, H. S., & Drews, F. A. (2017). Checking the lists: A systematic review of electronic checklist use in health care. Journal of biomedical informatics, 71S6-S12. https://doi.org/10.1016/j.jbi.2016.09.006
Kramer, Heidi S, and Drews, Frank A. "Checking the lists: A systematic review of electronic checklist use in health care." Journal of biomedical informatics vol. 71 (2017): S6-S12. doi: https://doi.org/10.1016/j.jbi.2016.09.006
Kramer HS, Drews FA. Checking the lists: A systematic review of electronic checklist use in health care. J Biomed Inform. 2017 Jul;71:S6-S12. doi: 10.1016/j.jbi.2016.09.006. Epub 2016 Sep 10. PMID: 27623535.
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A unified framework for evaluating the risk of re-identification of text de-identification tools.

Journal of biomedical informatics

Scaiano M, Middleton G, Arbuckle L, Kolhatkar V, Peyton L, Dowling M, Gipson DS, El Emam K.
PMID: 27426236
J Biomed Inform. 2016 Oct;63:174-183. doi: 10.1016/j.jbi.2016.07.015. Epub 2016 Jul 15.

OBJECTIVES: It has become regular practice to de-identify unstructured medical text for use in research using automatic methods, the goal of which is to remove patient identifying information to minimize re-identification risk. The metrics commonly used to determine if...

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Scaiano M, Middleton G, Arbuckle L, et al. A unified framework for evaluating the risk of re-identification of text de-identification tools. J Biomed Inform. 2016;63:174-183doi: 10.1016/j.jbi.2016.07.015.
Scaiano, M., Middleton, G., Arbuckle, L., Kolhatkar, V., Peyton, L., Dowling, M., Gipson, D. S., & El Emam, K. (2016). A unified framework for evaluating the risk of re-identification of text de-identification tools. Journal of biomedical informatics, 63174-183. https://doi.org/10.1016/j.jbi.2016.07.015
Scaiano, Martin, et al. "A unified framework for evaluating the risk of re-identification of text de-identification tools." Journal of biomedical informatics vol. 63 (2016): 174-183. doi: https://doi.org/10.1016/j.jbi.2016.07.015
Scaiano M, Middleton G, Arbuckle L, Kolhatkar V, Peyton L, Dowling M, Gipson DS, El Emam K. A unified framework for evaluating the risk of re-identification of text de-identification tools. J Biomed Inform. 2016 Oct;63:174-183. doi: 10.1016/j.jbi.2016.07.015. Epub 2016 Jul 15. PMID: 27426236.
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Development of a cognitive framework of patient record summary review in the formative phase of user-centered design.

Journal of biomedical informatics

Horsky J, Ramelson HZ.
PMID: 27725292
J Biomed Inform. 2016 Dec;64:147-157. doi: 10.1016/j.jbi.2016.10.004. Epub 2016 Oct 08.

Excellent usability characteristics allow electronic health record (EHR) systems to more effectively support clinicians providing care and contribute to better quality and safety. The Office of the National Coordinator for Health IT (ONC) therefore requires all vendors to follow...

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Horsky J, Ramelson HZ. Development of a cognitive framework of patient record summary review in the formative phase of user-centered design. J Biomed Inform. 2016;64:147-157doi: 10.1016/j.jbi.2016.10.004.
Horsky, J., & Ramelson, H. Z. (2016). Development of a cognitive framework of patient record summary review in the formative phase of user-centered design. Journal of biomedical informatics, 64147-157. https://doi.org/10.1016/j.jbi.2016.10.004
Horsky, Jan, and Ramelson, Harley Z. "Development of a cognitive framework of patient record summary review in the formative phase of user-centered design." Journal of biomedical informatics vol. 64 (2016): 147-157. doi: https://doi.org/10.1016/j.jbi.2016.10.004
Horsky J, Ramelson HZ. Development of a cognitive framework of patient record summary review in the formative phase of user-centered design. J Biomed Inform. 2016 Dec;64:147-157. doi: 10.1016/j.jbi.2016.10.004. Epub 2016 Oct 08. PMID: 27725292.
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Exploring methods for identifying related patient safety events using structured and unstructured data.

Journal of biomedical informatics

Fong A, Hettinger AZ, Ratwani RM.
PMID: 26432354
J Biomed Inform. 2015 Dec;58:89-95. doi: 10.1016/j.jbi.2015.09.011. Epub 2015 Sep 30.

Most healthcare systems have implemented patient safety event reporting systems to identify safety hazards. Searching the safety event data to find related patient safety reports and identify trends is challenging given the complexity and quantity of these reports. Structured...

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Fong A, Hettinger AZ, Ratwani RM. Exploring methods for identifying related patient safety events using structured and unstructured data. J Biomed Inform. 2015;58:89-95doi: 10.1016/j.jbi.2015.09.011.
Fong, A., Hettinger, A. Z., & Ratwani, R. M. (2015). Exploring methods for identifying related patient safety events using structured and unstructured data. Journal of biomedical informatics, 5889-95. https://doi.org/10.1016/j.jbi.2015.09.011
Fong, Allan, et al. "Exploring methods for identifying related patient safety events using structured and unstructured data." Journal of biomedical informatics vol. 58 (2015): 89-95. doi: https://doi.org/10.1016/j.jbi.2015.09.011
Fong A, Hettinger AZ, Ratwani RM. Exploring methods for identifying related patient safety events using structured and unstructured data. J Biomed Inform. 2015 Dec;58:89-95. doi: 10.1016/j.jbi.2015.09.011. Epub 2015 Sep 30. PMID: 26432354.
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PKDE4J: Entity and relation extraction for public knowledge discovery.

Journal of biomedical informatics

Song M, Kim WC, Lee D, Heo GE, Kang KY.
PMID: 26277115
J Biomed Inform. 2015 Oct;57:320-32. doi: 10.1016/j.jbi.2015.08.008. Epub 2015 Aug 12.

Due to an enormous number of scientific publications that cannot be handled manually, there is a rising interest in text-mining techniques for automated information extraction, especially in the biomedical field. Such techniques provide effective means of information search, knowledge...

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Song M, Kim WC, Lee D, et al. PKDE4J: Entity and relation extraction for public knowledge discovery. J Biomed Inform. 2015;57:320-32doi: 10.1016/j.jbi.2015.08.008.
Song, M., Kim, W. C., Lee, D., Heo, G. E., & Kang, K. Y. (2015). PKDE4J: Entity and relation extraction for public knowledge discovery. Journal of biomedical informatics, 57320-32. https://doi.org/10.1016/j.jbi.2015.08.008
Song, Min, et al. "PKDE4J: Entity and relation extraction for public knowledge discovery." Journal of biomedical informatics vol. 57 (2015): 320-32. doi: https://doi.org/10.1016/j.jbi.2015.08.008
Song M, Kim WC, Lee D, Heo GE, Kang KY. PKDE4J: Entity and relation extraction for public knowledge discovery. J Biomed Inform. 2015 Oct;57:320-32. doi: 10.1016/j.jbi.2015.08.008. Epub 2015 Aug 12. PMID: 26277115.
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A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.

Journal of biomedical informatics

Ochs C, Geller J, Perl Y, Musen MA.
PMID: 27345947
J Biomed Inform. 2016 Aug;62:90-105. doi: 10.1016/j.jbi.2016.06.008. Epub 2016 Jun 23.

Software tools play a critical role in the development and maintenance of biomedical ontologies. One important task that is difficult without software tools is ontology quality assurance. In previous work, we have introduced different kinds of abstraction networks to...

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Ochs C, Geller J, Perl Y, et al. A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies. J Biomed Inform. 2016;62:90-105doi: 10.1016/j.jbi.2016.06.008.
Ochs, C., Geller, J., Perl, Y., & Musen, M. A. (2016). A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies. Journal of biomedical informatics, 6290-105. https://doi.org/10.1016/j.jbi.2016.06.008
Ochs, Christopher, et al. "A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies." Journal of biomedical informatics vol. 62 (2016): 90-105. doi: https://doi.org/10.1016/j.jbi.2016.06.008
Ochs C, Geller J, Perl Y, Musen MA. A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies. J Biomed Inform. 2016 Aug;62:90-105. doi: 10.1016/j.jbi.2016.06.008. Epub 2016 Jun 23. PMID: 27345947; PMCID: PMC4987206.
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A privacy preserving protocol for tracking participants in phase I clinical trials.

Journal of biomedical informatics

El Emam K, Farah H, Samet S, Essex A, Jonker E, Kantarcioglu M, Earle CC.
PMID: 26146157
J Biomed Inform. 2015 Oct;57:145-62. doi: 10.1016/j.jbi.2015.06.019. Epub 2015 Jul 02.

OBJECTIVE: Some phase 1 clinical trials offer strong financial incentives for healthy individuals to participate in their studies. There is evidence that some individuals enroll in multiple trials concurrently. This creates safety risks and introduces data quality problems into...

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El Emam K, Farah H, Samet S, et al. A privacy preserving protocol for tracking participants in phase I clinical trials. J Biomed Inform. 2015;57:145-62doi: 10.1016/j.jbi.2015.06.019.
El Emam, K., Farah, H., Samet, S., Essex, A., Jonker, E., Kantarcioglu, M., & Earle, C. C. (2015). A privacy preserving protocol for tracking participants in phase I clinical trials. Journal of biomedical informatics, 57145-62. https://doi.org/10.1016/j.jbi.2015.06.019
El Emam, Khaled, et al. "A privacy preserving protocol for tracking participants in phase I clinical trials." Journal of biomedical informatics vol. 57 (2015): 145-62. doi: https://doi.org/10.1016/j.jbi.2015.06.019
El Emam K, Farah H, Samet S, Essex A, Jonker E, Kantarcioglu M, Earle CC. A privacy preserving protocol for tracking participants in phase I clinical trials. J Biomed Inform. 2015 Oct;57:145-62. doi: 10.1016/j.jbi.2015.06.019. Epub 2015 Jul 02. PMID: 26146157.
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Implementation of a user-centered framework in the development of a web-based health information database and call center.

Journal of biomedical informatics

Taylor HA, Sullivan D, Mullen C, Johnson CM.
PMID: 21396486
J Biomed Inform. 2011 Oct;44(5):897-908. doi: 10.1016/j.jbi.2011.03.001. Epub 2011 Mar 17.

As healthcare consumers increasingly turn to the World Wide Web (WWW) to obtain health information, it is imperative that health-related websites are user-centered. Websites are often developed without consideration of intended users' characteristics, literacy levels, preferences, and information goals...

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Taylor HA, Sullivan D, Mullen C, et al. Implementation of a user-centered framework in the development of a web-based health information database and call center. J Biomed Inform. 2011;44(5):897-908doi: 10.1016/j.jbi.2011.03.001.
Taylor, H. A., Sullivan, D., Mullen, C., & Johnson, C. M. (2011). Implementation of a user-centered framework in the development of a web-based health information database and call center. Journal of biomedical informatics, 44(5), 897-908. https://doi.org/10.1016/j.jbi.2011.03.001
Taylor, Heather A, et al. "Implementation of a user-centered framework in the development of a web-based health information database and call center." Journal of biomedical informatics vol. 44,5 (2011): 897-908. doi: https://doi.org/10.1016/j.jbi.2011.03.001
Taylor HA, Sullivan D, Mullen C, Johnson CM. Implementation of a user-centered framework in the development of a web-based health information database and call center. J Biomed Inform. 2011 Oct;44(5):897-908. doi: 10.1016/j.jbi.2011.03.001. Epub 2011 Mar 17. PMID: 21396486.
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An automated reasoning framework for translational research.

Journal of biomedical informatics

Riva A, Nuzzo A, Stefanelli M, Bellazzi R.
PMID: 19931420
J Biomed Inform. 2010 Jun;43(3):419-27. doi: 10.1016/j.jbi.2009.11.005. Epub 2009 Nov 18.

In this paper we propose a novel approach to the design and implementation of knowledge-based decision support systems for translational research, specifically tailored to the analysis and interpretation of data from high-throughput experiments. Our approach is based on a...

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Riva A, Nuzzo A, Stefanelli M, et al. An automated reasoning framework for translational research. J Biomed Inform. 2009;43(3):419-27doi: 10.1016/j.jbi.2009.11.005.
Riva, A., Nuzzo, A., Stefanelli, M., & Bellazzi, R. (2010). An automated reasoning framework for translational research. Journal of biomedical informatics, 43(3), 419-27. https://doi.org/10.1016/j.jbi.2009.11.005
Riva, Alberto, et al. "An automated reasoning framework for translational research." Journal of biomedical informatics vol. 43,3 (2010): 419-27. doi: https://doi.org/10.1016/j.jbi.2009.11.005
Riva A, Nuzzo A, Stefanelli M, Bellazzi R. An automated reasoning framework for translational research. J Biomed Inform. 2010 Jun;43(3):419-27. doi: 10.1016/j.jbi.2009.11.005. Epub 2009 Nov 18. PMID: 19931420; PMCID: PMC2878845.
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Enabling enrichment analysis with the Human Disease Ontology.

Journal of biomedical informatics

LePendu P, Musen MA, Shah NH.
PMID: 21550421
J Biomed Inform. 2011 Dec;44:S31-S38. doi: 10.1016/j.jbi.2011.04.007. Epub 2011 Apr 29.

Advanced statistical methods used to analyze high-throughput data such as gene-expression assays result in long lists of "significant genes." One way to gain insight into the significance of altered expression levels is to determine whether Gene Ontology (GO) terms...

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LePendu P, Musen MA, Shah NH. Enabling enrichment analysis with the Human Disease Ontology. J Biomed Inform. 2011;44:S31-S38doi: 10.1016/j.jbi.2011.04.007.
LePendu, P., Musen, M. A., & Shah, N. H. (2011). Enabling enrichment analysis with the Human Disease Ontology. Journal of biomedical informatics, 44S31-S38. https://doi.org/10.1016/j.jbi.2011.04.007
LePendu, Paea, et al. "Enabling enrichment analysis with the Human Disease Ontology." Journal of biomedical informatics vol. 44 (2011): S31-S38. doi: https://doi.org/10.1016/j.jbi.2011.04.007
LePendu P, Musen MA, Shah NH. Enabling enrichment analysis with the Human Disease Ontology. J Biomed Inform. 2011 Dec;44:S31-S38. doi: 10.1016/j.jbi.2011.04.007. Epub 2011 Apr 29. PMID: 21550421; PMCID: PMC3392036.
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Network-based target ranking for polypharmacological therapies.

Journal of biomedical informatics

Vitali F, Mulas F, Marini P, Bellazzi R.
PMID: 23850841
J Biomed Inform. 2013 Oct;46(5):876-81. doi: 10.1016/j.jbi.2013.06.015. Epub 2013 Jul 10.

With the growing understanding of complex diseases, the focus of drug discovery has shifted from the well-accepted "one target, one drug" model, to a new "multi-target, multi-drug" model, aimed at systemically modulating multiple targets. In this context, polypharmacology has...

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Vitali F, Mulas F, Marini P, et al. Network-based target ranking for polypharmacological therapies. J Biomed Inform. 2013;46(5):876-81doi: 10.1016/j.jbi.2013.06.015.
Vitali, F., Mulas, F., Marini, P., & Bellazzi, R. (2013). Network-based target ranking for polypharmacological therapies. Journal of biomedical informatics, 46(5), 876-81. https://doi.org/10.1016/j.jbi.2013.06.015
Vitali, Francesca, et al. "Network-based target ranking for polypharmacological therapies." Journal of biomedical informatics vol. 46,5 (2013): 876-81. doi: https://doi.org/10.1016/j.jbi.2013.06.015
Vitali F, Mulas F, Marini P, Bellazzi R. Network-based target ranking for polypharmacological therapies. J Biomed Inform. 2013 Oct;46(5):876-81. doi: 10.1016/j.jbi.2013.06.015. Epub 2013 Jul 10. PMID: 23850841.
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TMA-TAB: a spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model.

Journal of biomedical informatics

Song YS, Lee HW, Park YR, Kim DK, Sim J, Kang HP, Kim JH.
PMID: 19835983
J Biomed Inform. 2010 Jun;43(3):435-41. doi: 10.1016/j.jbi.2009.10.001. Epub 2009 Oct 14.

The importance of tissue microarrays (TMA) as clinical validation tools for cDNA microarray results is increasing, whereas researchers are still suffering from TMA data management issues. After we developed a comprehensive data model for TMA data storage, exchange and...

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Song YS, Lee HW, Park YR, et al. TMA-TAB: a spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model. J Biomed Inform. 2009;43(3):435-41doi: 10.1016/j.jbi.2009.10.001.
Song, Y. S., Lee, H. W., Park, Y. R., Kim, D. K., Sim, J., Kang, H. P., & Kim, J. H. (2010). TMA-TAB: a spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model. Journal of biomedical informatics, 43(3), 435-41. https://doi.org/10.1016/j.jbi.2009.10.001
Song, Young Soo, et al. "TMA-TAB: a spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model." Journal of biomedical informatics vol. 43,3 (2010): 435-41. doi: https://doi.org/10.1016/j.jbi.2009.10.001
Song YS, Lee HW, Park YR, Kim DK, Sim J, Kang HP, Kim JH. TMA-TAB: a spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model. J Biomed Inform. 2010 Jun;43(3):435-41. doi: 10.1016/j.jbi.2009.10.001. Epub 2009 Oct 14. PMID: 19835983.
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Showing 1 to 12 of 373 entries