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Core Outcomes and Common Data Elements in Chronic Subdural Hematoma: A Systematic Review of the Literature Focusing on Baseline and Peri-Operative Care Data Elements.

Journal of neurotrauma

Chari A, Hocking KC, Edlmann E, Turner C, Santarius T, Hutchinson PJ, Kolias AG.
PMID: 26541092
J Neurotrauma. 2016 Sep 01;33(17):1569-75. doi: 10.1089/neu.2015.4248. Epub 2016 Jan 28.

Chronic subdural hematoma (CSDH) is an increasingly common subtype of head injury, especially in the elderly population. The optimization of treatment strategies has been hampered by the collection of heterogeneous outcome measures and data elements, precluding cross-study comparisons. This...

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Chari A, Hocking KC, Edlmann E, et al. Core Outcomes and Common Data Elements in Chronic Subdural Hematoma: A Systematic Review of the Literature Focusing on Baseline and Peri-Operative Care Data Elements. J Neurotrauma. 2016;33(17):1569-75doi: 10.1089/neu.2015.4248.
Chari, A., Hocking, K. C., Edlmann, E., Turner, C., Santarius, T., Hutchinson, P. J., & Kolias, A. G. (2016). Core Outcomes and Common Data Elements in Chronic Subdural Hematoma: A Systematic Review of the Literature Focusing on Baseline and Peri-Operative Care Data Elements. Journal of neurotrauma, 33(17), 1569-75. https://doi.org/10.1089/neu.2015.4248
Chari, Aswin, et al. "Core Outcomes and Common Data Elements in Chronic Subdural Hematoma: A Systematic Review of the Literature Focusing on Baseline and Peri-Operative Care Data Elements." Journal of neurotrauma vol. 33,17 (2016): 1569-75. doi: https://doi.org/10.1089/neu.2015.4248
Chari A, Hocking KC, Edlmann E, Turner C, Santarius T, Hutchinson PJ, Kolias AG. Core Outcomes and Common Data Elements in Chronic Subdural Hematoma: A Systematic Review of the Literature Focusing on Baseline and Peri-Operative Care Data Elements. J Neurotrauma. 2016 Sep 01;33(17):1569-75. doi: 10.1089/neu.2015.4248. Epub 2016 Jan 28. PMID: 26541092.
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A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs.

AMIA ... Annual Symposium proceedings. AMIA Symposium

Zhou L, Collins S, Morgan SJ, Zafar N, Gesner EJ, Fehrenbach M, Rocha RA.
PMID: 28269927
AMIA Annu Symp Proc. 2017 Feb 10;2016:1293-1302. eCollection 2016.

Structured clinical documentation is an important component of electronic health records (EHRs) and plays an important role in clinical care, administrative functions, and research activities. Clinical data elements serve as basic building blocks for composing the templates used for...

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Zhou L, Collins S, Morgan SJ, et al. A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs. AMIA Annu Symp Proc. 2017;2016:1293-1302
Zhou, L., Collins, S., Morgan, S. J., Zafar, N., Gesner, E. J., Fehrenbach, M., & Rocha, R. A. (2016). A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs. AMIA ... Annual Symposium proceedings. AMIA Symposium, 20161293-1302.
Zhou, Li, et al. "A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs." AMIA ... Annual Symposium proceedings. AMIA Symposium vol. 2016 (2016): 1293-1302.
Zhou L, Collins S, Morgan SJ, Zafar N, Gesner EJ, Fehrenbach M, Rocha RA. A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs. AMIA Annu Symp Proc. 2017 Feb 10;2016:1293-1302. eCollection 2016. PMID: 28269927; PMCID: PMC5333263.
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Common Data Elements in Radiology.

Radiology

Rubin DL, Kahn CE.
PMID: 27831831
Radiology. 2017 Jun;283(3):837-844. doi: 10.1148/radiol.2016161553. Epub 2016 Nov 10.

Diagnostic radiologists generally produce unstructured information in the form of images and narrative text reports. Although designed for human consumption, radiologic reports contain a wealth of information that could be valuable for clinical care, research, and quality improvement if...

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Rubin DL, Kahn CE. Common Data Elements in Radiology. Radiology. 2016;283(3):837-844doi: 10.1148/radiol.2016161553.
Rubin, D. L., & Kahn, C. E. (2017). Common Data Elements in Radiology. Radiology, 283(3), 837-844. https://doi.org/10.1148/radiol.2016161553
Rubin, Daniel L, and Kahn, Charles E. "Common Data Elements in Radiology." Radiology vol. 283,3 (2017): 837-844. doi: https://doi.org/10.1148/radiol.2016161553
Rubin DL, Kahn CE. Common Data Elements in Radiology. Radiology. 2017 Jun;283(3):837-844. doi: 10.1148/radiol.2016161553. Epub 2016 Nov 10. PMID: 27831831.
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Establishing the Omics Nursing Science & Education Network.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing

Tully LA, Calzone KA, Cashion AK.
PMID: 32030867
J Nurs Scholarsh. 2020 Mar;52(2):192-200. doi: 10.1111/jnu.12541. Epub 2020 Feb 06.

PURPOSE: To establish a website to advance nursing research and education involving omics technologies and methodologies through facilitating collaborations, use of existing data and samples, mentoring, and access to training opportunities.METHODS: The Omics Nursing Science & Education Network (ONSEN)...

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Tully LA, Calzone KA, Cashion AK. Establishing the Omics Nursing Science & Education Network. J Nurs Scholarsh. 2020;52(2):192-200doi: 10.1111/jnu.12541.
Tully, L. A., Calzone, K. A., & Cashion, A. K. (2020). Establishing the Omics Nursing Science & Education Network. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 52(2), 192-200. https://doi.org/10.1111/jnu.12541
Tully, Lois A, et al. "Establishing the Omics Nursing Science & Education Network." Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing vol. 52,2 (2020): 192-200. doi: https://doi.org/10.1111/jnu.12541
Tully LA, Calzone KA, Cashion AK. Establishing the Omics Nursing Science & Education Network. J Nurs Scholarsh. 2020 Mar;52(2):192-200. doi: 10.1111/jnu.12541. Epub 2020 Feb 06. PMID: 32030867; PMCID: PMC7398601.
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Creating the conditions for a learning epilepsy care system.

Epilepsia

Fitzsimons M, Hwang H.
PMID: 33280094
Epilepsia. 2021 Jan;62(1):217-219. doi: 10.1111/epi.16783. Epub 2020 Dec 06.

No abstract available.

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Fitzsimons M, Hwang H. Creating the conditions for a learning epilepsy care system. Epilepsia. 2020;62(1):217-219doi: 10.1111/epi.16783.
Fitzsimons, M., & Hwang, H. (2021). Creating the conditions for a learning epilepsy care system. Epilepsia, 62(1), 217-219. https://doi.org/10.1111/epi.16783
Fitzsimons, Mary, and Hwang, Hee. "Creating the conditions for a learning epilepsy care system." Epilepsia vol. 62,1 (2021): 217-219. doi: https://doi.org/10.1111/epi.16783
Fitzsimons M, Hwang H. Creating the conditions for a learning epilepsy care system. Epilepsia. 2021 Jan;62(1):217-219. doi: 10.1111/epi.16783. Epub 2020 Dec 06. PMID: 33280094.
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An exploratory study using an openEHR 2-level modeling approach to represent common data elements.

Journal of the American Medical Informatics Association : JAMIA

Lin CH, Fann YC, Liou DM.
PMID: 26911823
J Am Med Inform Assoc. 2016 Sep;23(5):956-67. doi: 10.1093/jamia/ocv137. Epub 2016 Jan 23.

BACKGROUND AND OBJECTIVE: In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of...

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Lin CH, Fann YC, Liou DM. An exploratory study using an openEHR 2-level modeling approach to represent common data elements. J Am Med Inform Assoc. 2016;23(5):956-67doi: 10.1093/jamia/ocv137.
Lin, C. H., Fann, Y. C., & Liou, D. M. (2016). An exploratory study using an openEHR 2-level modeling approach to represent common data elements. Journal of the American Medical Informatics Association : JAMIA, 23(5), 956-67. https://doi.org/10.1093/jamia/ocv137
Lin, Ching-Heng, et al. "An exploratory study using an openEHR 2-level modeling approach to represent common data elements." Journal of the American Medical Informatics Association : JAMIA vol. 23,5 (2016): 956-67. doi: https://doi.org/10.1093/jamia/ocv137
Lin CH, Fann YC, Liou DM. An exploratory study using an openEHR 2-level modeling approach to represent common data elements. J Am Med Inform Assoc. 2016 Sep;23(5):956-67. doi: 10.1093/jamia/ocv137. Epub 2016 Jan 23. PMID: 26911823; PMCID: PMC6375118.
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Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network.

Studies in health technology and informatics

Schmidt EE, Eichelser C, Ahlborn B, Keune D, Castaños-Vélez E, Juárez D, Lablans M.
PMID: 31438180
Stud Health Technol Inform. 2019 Aug 21;264:1458-1459. doi: 10.3233/SHTI190483.

Standardised, automated quality reports were generated at three pilot locations of the decentralized translational research network DKTK with separated local data warehouses (LDW), for assessing syntactic conformity against common data element definitions deposited in a central metadata repository (MDR)....

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Schmidt EE, Eichelser C, Ahlborn B, et al. Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network. Stud Health Technol Inform. 2019;264:1458-1459doi: 10.3233/SHTI190483.
Schmidt, E. E., Eichelser, C., Ahlborn, B., Keune, D., Castaños-Vélez, E., Juárez, D., & Lablans, M. (2019). Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network. Studies in health technology and informatics, 2641458-1459. https://doi.org/10.3233/SHTI190483
Schmidt, Esther E, et al. "Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network." Studies in health technology and informatics vol. 264 (2019): 1458-1459. doi: https://doi.org/10.3233/SHTI190483
Schmidt EE, Eichelser C, Ahlborn B, Keune D, Castaños-Vélez E, Juárez D, Lablans M. Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network. Stud Health Technol Inform. 2019 Aug 21;264:1458-1459. doi: 10.3233/SHTI190483. PMID: 31438180.
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Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data.

Nursing research

Moore SM, Musil CM, Alder ML, Pignatiello G, Higgins P, Webel A, Wright KD.
PMID: 32205788
Nurs Res. 2020 Jul/Aug;69(4):254-263. doi: 10.1097/NNR.0000000000000435.

BACKGROUND: Building nursing research data repositories with the goal of comparing and synthesizing results across numerous studies and public sharing of data is still in early stages of development.OBJECTIVES: We describe the process of using common data elements (CDEs)...

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Moore SM, Musil CM, Alder ML, et al. Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data. Nurs Res. 2020;69(4):254-263doi: 10.1097/NNR.0000000000000435.
Moore, S. M., Musil, C. M., Alder, M. L., Pignatiello, G., Higgins, P., Webel, A., & Wright, K. D. (2020). Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data. Nursing research, 69(4), 254-263. https://doi.org/10.1097/NNR.0000000000000435
Moore, Shirley M, et al. "Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data." Nursing research vol. 69,4 (2020): 254-263. doi: https://doi.org/10.1097/NNR.0000000000000435
Moore SM, Musil CM, Alder ML, Pignatiello G, Higgins P, Webel A, Wright KD. Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data. Nurs Res. 2020 Jul/Aug;69(4):254-263. doi: 10.1097/NNR.0000000000000435. PMID: 32205788.
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Common Data Elements: Critical Assessment of Harmonization between Current Multi-Center Traumatic Brain Injury Studies.

Journal of neurotrauma

Meeuws S, Yue JK, Huijben JA, Nair N, Lingsma HF, Bell MJ, Manley GT, Maas AIR.
PMID: 32000562
J Neurotrauma. 2020 Jun 01;37(11):1283-1290. doi: 10.1089/neu.2019.6867. Epub 2020 Feb 25.

Standardization and harmonization of data collection in studies on traumatic brain injury (TBI) is of paramount importance for meta-analyses across studies. Nearly 10 years ago, the first set of Common Data Elements for TBI (TBI-CDEs v1) were introduced to...

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Meeuws S, Yue JK, Huijben JA, et al. Common Data Elements: Critical Assessment of Harmonization between Current Multi-Center Traumatic Brain Injury Studies. J Neurotrauma. 2020;37(11):1283-1290doi: 10.1089/neu.2019.6867.
Meeuws, S., Yue, J. K., Huijben, J. A., Nair, N., Lingsma, H. F., Bell, M. J., Manley, G. T., & Maas, A. I. R. (2020). Common Data Elements: Critical Assessment of Harmonization between Current Multi-Center Traumatic Brain Injury Studies. Journal of neurotrauma, 37(11), 1283-1290. https://doi.org/10.1089/neu.2019.6867
Meeuws, Sacha, et al. "Common Data Elements: Critical Assessment of Harmonization between Current Multi-Center Traumatic Brain Injury Studies." Journal of neurotrauma vol. 37,11 (2020): 1283-1290. doi: https://doi.org/10.1089/neu.2019.6867
Meeuws S, Yue JK, Huijben JA, Nair N, Lingsma HF, Bell MJ, Manley GT, Maas AIR. Common Data Elements: Critical Assessment of Harmonization between Current Multi-Center Traumatic Brain Injury Studies. J Neurotrauma. 2020 Jun 01;37(11):1283-1290. doi: 10.1089/neu.2019.6867. Epub 2020 Feb 25. PMID: 32000562; PMCID: PMC7249452.
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Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing

Moore SM, Schiffman R, Waldrop-Valverde D, Redeker NS, McCloskey DJ, Kim MT, Heitkemper MM, Guthrie BJ, Dorsey SG, Docherty SL, Barton D, Bailey DE, Austin JK, Grady P.
PMID: 27486851
J Nurs Scholarsh. 2016 Sep;48(5):437-47. doi: 10.1111/jnu.12233. Epub 2016 Aug 03.

PURPOSE: Common data elements (CDEs) are increasingly being used by researchers to promote data sharing across studies. The purposes of this article are to (a) describe the theoretical, conceptual, and definition issues in the development of a set of...

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Moore SM, Schiffman R, Waldrop-Valverde D, et al. Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions. J Nurs Scholarsh. 2016;48(5):437-47doi: 10.1111/jnu.12233.
Moore, S. M., Schiffman, R., Waldrop-Valverde, D., Redeker, N. S., McCloskey, D. J., Kim, M. T., Heitkemper, M. M., Guthrie, B. J., Dorsey, S. G., Docherty, S. L., Barton, D., Bailey, D. E., Austin, J. K., & Grady, P. (2016). Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 48(5), 437-47. https://doi.org/10.1111/jnu.12233
Moore, Shirley M, et al. "Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions." Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing vol. 48,5 (2016): 437-47. doi: https://doi.org/10.1111/jnu.12233
Moore SM, Schiffman R, Waldrop-Valverde D, Redeker NS, McCloskey DJ, Kim MT, Heitkemper MM, Guthrie BJ, Dorsey SG, Docherty SL, Barton D, Bailey DE, Austin JK, Grady P. Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions. J Nurs Scholarsh. 2016 Sep;48(5):437-47. doi: 10.1111/jnu.12233. Epub 2016 Aug 03. PMID: 27486851; PMCID: PMC5490657.
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Showing 1 to 10 of 10 entries