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Identifying Medicare Beneficiaries with Delirium

CITE Title : Identifying Medicare Beneficiaries with Delirium Personal Author(s) : Moura, Lidia M.V.R.;Zafar, Sahar;Benson, Nicole M.;Festa, Natalia;Price, Mary;Donahue, Maria A.;Normand, Sharon-Lise;Newhouse, Joseph P.;Blacker, Deborah;Hsu, John; Published Date : 11 01 2022 Source : Med Care. 60(11):852-859 URL : https://stacks.cdc.gov/view/cdc/122269 Moura, Lidia M.V.R. et al. (2022). Identifying Medicare Beneficiaries with Delirium. 60(11). Moura, Lidia M.V.R. et al. "Identifying Medicare Beneficiaries with Delirium" 60, no. 11 (2022) Moura, Lidia M.V.R. et al. "Identifying Medicare Beneficiaries with Delirium" vol. 60, no. 11, 2022 Export RIS Citation Information.

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Moura, Lidia M.V.R. ;

Zafar, Sahar

11 01 2022 | Med Care. 60(11):852-859

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Background:Each year, thousands of older adults develop delirium, a serious, preventable condition. At present, there is no well-validated method to i...
Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records

CITE Title : Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records Personal Author(s) : Fernandes, Marta;Sun, Haoqi;Chemali, Zeina;Mukerji, Shibani S.;Moura, Lidia M.V.R.;Zafar, Sahar F.;Sonni, Akshata;Biffi, Alessandro;Rosand, Jonathan;Westover, M. Brandon; Published Date : 12-2023 Source : Int J Med Inform. 180:105270 URL : https://stacks.cdc.gov/view/cdc/147722 Fernandes, Marta et al. (2023). Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records. 180 Fernandes, Marta et al. "Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records" 180 (2023) Fernandes, Marta et al. "Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records" vol. 180, 2023 Export RIS Citation Information.

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Fernandes, Marta ;

Sun, Haoqi

12-2023 | Int J Med Inform. 180:105270

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Background:Preserving brain health is a critical priority in primary care, yet screening for these risk factors in face-to-face primary care visits is...
Identification of patients with epilepsy using automated electronic health records phenotyping

CITE Title : Identification of patients with epilepsy using automated electronic health records phenotyping Personal Author(s) : Fernandes, Marta;Cardall, Aidan;Jing, Jin;Ge, Wendong;Moura, Lidia M. V. R.;Jacobs, Claire;McGraw, Christopher;Zafar, Sahar F.;Westover, M. Brandon; Published Date : 6 2023;6-2023; Source : Epilepsia. 64(6):1472-1481 URL : https://stacks.cdc.gov/view/cdc/157920 Fernandes, Marta et al. (2023). Identification of patients with epilepsy using automated electronic health records phenotyping. 64(6). Fernandes, Marta et al. "Identification of patients with epilepsy using automated electronic health records phenotyping" 64, no. 6 (2023) Fernandes, Marta et al. "Identification of patients with epilepsy using automated electronic health records phenotyping" vol. 64, no. 6, 2023 Export RIS Citation Information.

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Fernandes, Marta

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Cardall, Aidan

6 2023 | Epilepsia. 64(6):1472-1481

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Objective:Unstructured data present in electronic health records (EHR) are a rich source of medical information; however, their abstraction is labor i...