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Comparison of two heuristic evaluation methods for evaluating the usability of health information systems.

Journal of biomedical informatics

Khajouei R, Hajesmaeel Gohari S, Mirzaee M.
PMID: 29499315
J Biomed Inform. 2018 Apr;80:37-42. doi: 10.1016/j.jbi.2018.02.016. Epub 2018 Feb 27.

OBJECTIVES: In addition to following the usual Heuristic Evaluation (HE) method, the usability of health information systems can also be evaluated using a checklist. The objective of this study is to compare the performance of these two methods in...

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Khajouei R, Hajesmaeel Gohari S, Mirzaee M. Comparison of two heuristic evaluation methods for evaluating the usability of health information systems. J Biomed Inform. 2018;80:37-42doi: 10.1016/j.jbi.2018.02.016.
Khajouei, R., Hajesmaeel Gohari, S., & Mirzaee, M. (2018). Comparison of two heuristic evaluation methods for evaluating the usability of health information systems. Journal of biomedical informatics, 8037-42. https://doi.org/10.1016/j.jbi.2018.02.016
Khajouei, Reza, et al. "Comparison of two heuristic evaluation methods for evaluating the usability of health information systems." Journal of biomedical informatics vol. 80 (2018): 37-42. doi: https://doi.org/10.1016/j.jbi.2018.02.016
Khajouei R, Hajesmaeel Gohari S, Mirzaee M. Comparison of two heuristic evaluation methods for evaluating the usability of health information systems. J Biomed Inform. 2018 Apr;80:37-42. doi: 10.1016/j.jbi.2018.02.016. Epub 2018 Feb 27. PMID: 29499315.
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Navigation in the electronic health record: A review of the safety and usability literature.

Journal of biomedical informatics

Roman LC, Ancker JS, Johnson SB, Senathirajah Y.
PMID: 28088527
J Biomed Inform. 2017 Mar;67:69-79. doi: 10.1016/j.jbi.2017.01.005. Epub 2017 Jan 11.

OBJECTIVE: Inefficient navigation in electronic health records has been shown to increase users' cognitive load, which may increase potential for errors, reduce efficiency, and increase fatigue. However, navigation has received insufficient recognition and attention in the electronic health record...

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Roman LC, Ancker JS, Johnson SB, et al. Navigation in the electronic health record: A review of the safety and usability literature. J Biomed Inform. 2017;67:69-79doi: 10.1016/j.jbi.2017.01.005.
Roman, L. C., Ancker, J. S., Johnson, S. B., & Senathirajah, Y. (2017). Navigation in the electronic health record: A review of the safety and usability literature. Journal of biomedical informatics, 6769-79. https://doi.org/10.1016/j.jbi.2017.01.005
Roman, Lisette C, et al. "Navigation in the electronic health record: A review of the safety and usability literature." Journal of biomedical informatics vol. 67 (2017): 69-79. doi: https://doi.org/10.1016/j.jbi.2017.01.005
Roman LC, Ancker JS, Johnson SB, Senathirajah Y. Navigation in the electronic health record: A review of the safety and usability literature. J Biomed Inform. 2017 Mar;67:69-79. doi: 10.1016/j.jbi.2017.01.005. Epub 2017 Jan 11. PMID: 28088527.
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Let's get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments.

Journal of biomedical informatics

Blaauw FJ, Schenk HM, Jeronimus BF, van der Krieke L, de Jonge P, Aiello M, Emerencia AC.
PMID: 27498066
J Biomed Inform. 2016 Oct;63:141-149. doi: 10.1016/j.jbi.2016.08.001. Epub 2016 Aug 04.

The emergence of wearables and smartwatches is making sensors a ubiquitous technology to measure daily rhythms in physiological measures, such as movement and heart rate. An integration of sensor data from wearables and self-report questionnaire data about cognition, behaviors,...

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Blaauw FJ, Schenk HM, Jeronimus BF, et al. Let's get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments. J Biomed Inform. 2016;63:141-149doi: 10.1016/j.jbi.2016.08.001.
Blaauw, F. J., Schenk, H. M., Jeronimus, B. F., van der Krieke, L., de Jonge, P., Aiello, M., & Emerencia, A. C. (2016). Let's get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments. Journal of biomedical informatics, 63141-149. https://doi.org/10.1016/j.jbi.2016.08.001
Blaauw, F J, et al. "Let's get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments." Journal of biomedical informatics vol. 63 (2016): 141-149. doi: https://doi.org/10.1016/j.jbi.2016.08.001
Blaauw FJ, Schenk HM, Jeronimus BF, van der Krieke L, de Jonge P, Aiello M, Emerencia AC. Let's get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments. J Biomed Inform. 2016 Oct;63:141-149. doi: 10.1016/j.jbi.2016.08.001. Epub 2016 Aug 04. PMID: 27498066.
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Electronic health record as a research tool: Frequency of exposure to targeted clinical problems and health care providers' clinical proficiency.

Journal of biomedical informatics

Wysocki T, Diaz MCG, Crutchfield JH, Franciosi JP, Werk LN.
PMID: 28442433
J Biomed Inform. 2017 Jun;70:14-26. doi: 10.1016/j.jbi.2017.04.016. Epub 2017 Apr 24.

OBJECTIVES: The Electronic Health Record (EHR) could provide insight into possible decay in health care providers' (HCP) clinical knowledge and cognitive performance. Analyses of the contributions of variables such as frequency of exposure to targeted clinical problems could inform...

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Wysocki T, Diaz MCG, Crutchfield JH, et al. Electronic health record as a research tool: Frequency of exposure to targeted clinical problems and health care providers' clinical proficiency. J Biomed Inform. 2017;70:14-26doi: 10.1016/j.jbi.2017.04.016.
Wysocki, T., Diaz, M. C. G., Crutchfield, J. H., Franciosi, J. P., & Werk, L. N. (2017). Electronic health record as a research tool: Frequency of exposure to targeted clinical problems and health care providers' clinical proficiency. Journal of biomedical informatics, 7014-26. https://doi.org/10.1016/j.jbi.2017.04.016
Wysocki, Tim, et al. "Electronic health record as a research tool: Frequency of exposure to targeted clinical problems and health care providers' clinical proficiency." Journal of biomedical informatics vol. 70 (2017): 14-26. doi: https://doi.org/10.1016/j.jbi.2017.04.016
Wysocki T, Diaz MCG, Crutchfield JH, Franciosi JP, Werk LN. Electronic health record as a research tool: Frequency of exposure to targeted clinical problems and health care providers' clinical proficiency. J Biomed Inform. 2017 Jun;70:14-26. doi: 10.1016/j.jbi.2017.04.016. Epub 2017 Apr 24. PMID: 28442433.
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The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge.

Journal of biomedical informatics

Bui DDA, Wyatt M, Cimino JJ.
PMID: 28478268
J Biomed Inform. 2017 Nov;75:S54-S61. doi: 10.1016/j.jbi.2017.05.001. Epub 2017 May 03.

Clinical narratives (the text notes found in patients' medical records) are important information sources for secondary use in research. However, in order to protect patient privacy, they must be de-identified prior to use. Manual de-identification is considered to be...

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Bui DDA, Wyatt M, Cimino JJ. The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge. J Biomed Inform. 2017;75:S54-S61doi: 10.1016/j.jbi.2017.05.001.
Bui, D. D. A., Wyatt, M., & Cimino, J. J. (2017). The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge. Journal of biomedical informatics, 75S54-S61. https://doi.org/10.1016/j.jbi.2017.05.001
Bui, Duy Duc An, et al. "The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge." Journal of biomedical informatics vol. 75 (2017): S54-S61. doi: https://doi.org/10.1016/j.jbi.2017.05.001
Bui DDA, Wyatt M, Cimino JJ. The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge. J Biomed Inform. 2017 Nov;75:S54-S61. doi: 10.1016/j.jbi.2017.05.001. Epub 2017 May 03. PMID: 28478268; PMCID: PMC5670015.
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Predicting anxiety state using smartphone-based passive sensing.

Journal of biomedical informatics

Fukazawa Y, Ito T, Okimura T, Yamashita Y, Maeda T, Ota J.
PMID: 30880254
J Biomed Inform. 2019 May;93:103151. doi: 10.1016/j.jbi.2019.103151. Epub 2019 Mar 15.

This study predicts the change of stress levels using real-world and online behavioral features extracted from smartphone log information. Previous studies of stress detection using smartphone data focused on a single feature and did not consider all features simultaneously....

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Fukazawa Y, Ito T, Okimura T, et al. Predicting anxiety state using smartphone-based passive sensing. J Biomed Inform. 2019;93:103151doi: 10.1016/j.jbi.2019.103151.
Fukazawa, Y., Ito, T., Okimura, T., Yamashita, Y., Maeda, T., & Ota, J. (2019). Predicting anxiety state using smartphone-based passive sensing. Journal of biomedical informatics, 93103151. https://doi.org/10.1016/j.jbi.2019.103151
Fukazawa, Yusuke, et al. "Predicting anxiety state using smartphone-based passive sensing." Journal of biomedical informatics vol. 93 (2019): 103151. doi: https://doi.org/10.1016/j.jbi.2019.103151
Fukazawa Y, Ito T, Okimura T, Yamashita Y, Maeda T, Ota J. Predicting anxiety state using smartphone-based passive sensing. J Biomed Inform. 2019 May;93:103151. doi: 10.1016/j.jbi.2019.103151. Epub 2019 Mar 15. PMID: 30880254.
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The ranking of scientists.

Journal of biomedical informatics

Zerem E.
PMID: 29454908
J Biomed Inform. 2018 Mar;79:147-148. doi: 10.1016/j.jbi.2018.02.007. Epub 2018 Feb 15.

No abstract available.

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Zerem E. The ranking of scientists. J Biomed Inform. 2018;79:147-148doi: 10.1016/j.jbi.2018.02.007.
Zerem, E. (2018). The ranking of scientists. Journal of biomedical informatics, 79147-148. https://doi.org/10.1016/j.jbi.2018.02.007
Zerem, Enver. "The ranking of scientists." Journal of biomedical informatics vol. 79 (2018): 147-148. doi: https://doi.org/10.1016/j.jbi.2018.02.007
Zerem E. The ranking of scientists. J Biomed Inform. 2018 Mar;79:147-148. doi: 10.1016/j.jbi.2018.02.007. Epub 2018 Feb 15. PMID: 29454908.
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The ranking of scientists based on scientific publications assessment.

Journal of biomedical informatics

Zerem E.
PMID: 29031596
J Biomed Inform. 2017 Nov;75:107-109. doi: 10.1016/j.jbi.2017.10.007. Epub 2017 Oct 12.

It is generally accepted that the scientific impact factor (Web of Science) and the total number of citations of the articles published in a journal, are the most relevant parameters of the journal's significance. However, the significance of scientists...

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Zerem E. The ranking of scientists based on scientific publications assessment. J Biomed Inform. 2017;75:107-109doi: 10.1016/j.jbi.2017.10.007.
Zerem, E. (2017). The ranking of scientists based on scientific publications assessment. Journal of biomedical informatics, 75107-109. https://doi.org/10.1016/j.jbi.2017.10.007
Zerem, Enver. "The ranking of scientists based on scientific publications assessment." Journal of biomedical informatics vol. 75 (2017): 107-109. doi: https://doi.org/10.1016/j.jbi.2017.10.007
Zerem E. The ranking of scientists based on scientific publications assessment. J Biomed Inform. 2017 Nov;75:107-109. doi: 10.1016/j.jbi.2017.10.007. Epub 2017 Oct 12. PMID: 29031596.
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Elucidating high-dimensional cancer hallmark annotation via enriched ontology.

Journal of biomedical informatics

Yan S, Wong KC.
PMID: 28723579
J Biomed Inform. 2017 Sep;73:84-94. doi: 10.1016/j.jbi.2017.07.011. Epub 2017 Jul 16.

MOTIVATION: Cancer hallmark annotation is a promising technique that could discover novel knowledge about cancer from the biomedical literature. The automated annotation of cancer hallmarks could reveal relevant cancer transformation processes in the literature or extract the articles that...

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Yan S, Wong KC. Elucidating high-dimensional cancer hallmark annotation via enriched ontology. J Biomed Inform. 2017;73:84-94doi: 10.1016/j.jbi.2017.07.011.
Yan, S., & Wong, K. C. (2017). Elucidating high-dimensional cancer hallmark annotation via enriched ontology. Journal of biomedical informatics, 7384-94. https://doi.org/10.1016/j.jbi.2017.07.011
Yan, Shankai, and Wong, Ka-Chun. "Elucidating high-dimensional cancer hallmark annotation via enriched ontology." Journal of biomedical informatics vol. 73 (2017): 84-94. doi: https://doi.org/10.1016/j.jbi.2017.07.011
Yan S, Wong KC. Elucidating high-dimensional cancer hallmark annotation via enriched ontology. J Biomed Inform. 2017 Sep;73:84-94. doi: 10.1016/j.jbi.2017.07.011. Epub 2017 Jul 16. PMID: 28723579.
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Video-assisted smart health monitoring for affliction determination based on fog analytics.

Journal of biomedical informatics

Manocha A, Kumar G, Bhatia M, Sharma A.
PMID: 32712156
J Biomed Inform. 2020 Sep;109:103513. doi: 10.1016/j.jbi.2020.103513. Epub 2020 Jul 24.

Satisfying the expectations of quality living is essential for smart healthcare. Therefore, the determination of health afflictions in real-time has been considered as one of the most necessary parts of medical or assistive-care domain. In this article, a novel...

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Manocha A, Kumar G, Bhatia M, et al. Video-assisted smart health monitoring for affliction determination based on fog analytics. J Biomed Inform. 2020;109:103513doi: 10.1016/j.jbi.2020.103513.
Manocha, A., Kumar, G., Bhatia, M., & Sharma, A. (2020). Video-assisted smart health monitoring for affliction determination based on fog analytics. Journal of biomedical informatics, 109103513. https://doi.org/10.1016/j.jbi.2020.103513
Manocha, Ankush, et al. "Video-assisted smart health monitoring for affliction determination based on fog analytics." Journal of biomedical informatics vol. 109 (2020): 103513. doi: https://doi.org/10.1016/j.jbi.2020.103513
Manocha A, Kumar G, Bhatia M, Sharma A. Video-assisted smart health monitoring for affliction determination based on fog analytics. J Biomed Inform. 2020 Sep;109:103513. doi: 10.1016/j.jbi.2020.103513. Epub 2020 Jul 24. PMID: 32712156.
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Predict or draw blood: An integrated method to reduce lab tests.

Journal of biomedical informatics

Yu L, Zhang Q, Bernstam EV, Jiang X.
PMID: 32113004
J Biomed Inform. 2020 Apr;104:103394. doi: 10.1016/j.jbi.2020.103394. Epub 2020 Feb 26.

Serial laboratory testing is common, especially in Intensive Care Units (ICU). Such repeated testing is expensive and may even harm patients. However, identifying specific tests that can be omitted is challenging. The search space of different lab tests is...

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Yu L, Zhang Q, Bernstam EV, et al. Predict or draw blood: An integrated method to reduce lab tests. J Biomed Inform. 2020;104:103394doi: 10.1016/j.jbi.2020.103394.
Yu, L., Zhang, Q., Bernstam, E. V., & Jiang, X. (2020). Predict or draw blood: An integrated method to reduce lab tests. Journal of biomedical informatics, 104103394. https://doi.org/10.1016/j.jbi.2020.103394
Yu, Lishan, et al. "Predict or draw blood: An integrated method to reduce lab tests." Journal of biomedical informatics vol. 104 (2020): 103394. doi: https://doi.org/10.1016/j.jbi.2020.103394
Yu L, Zhang Q, Bernstam EV, Jiang X. Predict or draw blood: An integrated method to reduce lab tests. J Biomed Inform. 2020 Apr;104:103394. doi: 10.1016/j.jbi.2020.103394. Epub 2020 Feb 26. PMID: 32113004.
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Data standards for interoperability of care team information to support care coordination of complex pediatric patients.

Journal of biomedical informatics

Ranade-Kharkar P, Narus SP, Anderson GL, Conway T, Del Fiol G.
PMID: 30017975
J Biomed Inform. 2018 Sep;85:1-9. doi: 10.1016/j.jbi.2018.07.009. Epub 2018 Jul 12.

OBJECTIVE: Seamless access to information about the individuals and organizations involved in the care of a specific patient ("care teams") is crucial to effective and efficient care coordination. This is especially true for vulnerable and complex patient populations such...

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Ranade-Kharkar P, Narus SP, Anderson GL, et al. Data standards for interoperability of care team information to support care coordination of complex pediatric patients. J Biomed Inform. 2018;85:1-9doi: 10.1016/j.jbi.2018.07.009.
Ranade-Kharkar, P., Narus, S. P., Anderson, G. L., Conway, T., & Del Fiol, G. (2018). Data standards for interoperability of care team information to support care coordination of complex pediatric patients. Journal of biomedical informatics, 851-9. https://doi.org/10.1016/j.jbi.2018.07.009
Ranade-Kharkar, Pallavi, et al. "Data standards for interoperability of care team information to support care coordination of complex pediatric patients." Journal of biomedical informatics vol. 85 (2018): 1-9. doi: https://doi.org/10.1016/j.jbi.2018.07.009
Ranade-Kharkar P, Narus SP, Anderson GL, Conway T, Del Fiol G. Data standards for interoperability of care team information to support care coordination of complex pediatric patients. J Biomed Inform. 2018 Sep;85:1-9. doi: 10.1016/j.jbi.2018.07.009. Epub 2018 Jul 12. PMID: 30017975.
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Showing 13 to 24 of 373 entries