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Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration.
Mu E, Jabbour S, Dalca AV, Guttag J, Wiens J, Sjoding MW. Mu E, et al. PLoS One. 2022 Feb 15;17(2):e0263922. doi: 10.1371/journal.pone.0263922. eCollection 2022. PLoS One. 2022. PMID: 35167608 Free PMC article.
The EPIC deterioration index was augmented with unstructured data from chest radiographs to predict risk of deterioration. ...At a NPV of 0.9, the EPIC image-augmented deterioration index identified 26 more individuals (5.2%) as lo …
The EPIC deterioration index was augmented with unstructured data from chest radiographs to predict risk of deterior …
Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19.
Singh K, Valley TS, Tang S, Li BY, Kamran F, Sjoding MW, Wiens J, Otles E, Donnelly JP, Wei MY, McBride JP, Cao J, Penoza C, Ayanian JZ, Nallamothu BK. Singh K, et al. Ann Am Thorac Soc. 2021 Jul;18(7):1129-1137. doi: 10.1513/AnnalsATS.202006-698OC. Ann Am Thorac Soc. 2021. PMID: 33357088 Free PMC article.
Rationale: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals that was widely used to support medical decision-making during the coronavirus disease (COVID-19) pandemic. ...
Rationale: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals …
Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients.
Singh K, Valley TS, Tang S, Li BY, Kamran F, Sjoding MW, Wiens J, Otles E, Donnelly JP, Wei MY, McBride JP, Cao J, Penoza C, Ayanian JZ, Nallamothu BK. Singh K, et al. medRxiv. 2020 Jun 20:2020.04.24.20079012. doi: 10.1101/2020.04.24.20079012. Preprint. medRxiv. 2020. PMID: 32511650 Free PMC article. Updated.
INTRODUCTION: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals that was widely used to support medical decision-making during the COVID-19 pandemic. ...
INTRODUCTION: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospita …
External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems.
Cummings BC, Blackmer JM, Motyka JR, Farzaneh N, Cao L, Bisco EL, Glassbrook JD, Roebuck MD, Gillies CE, Admon AJ, Medlin RP Jr, Singh K, Sjoding MW, Ward KR, Ansari S. Cummings BC, et al. Crit Care Med. 2023 Jun 1;51(6):775-786. doi: 10.1097/CCM.0000000000005837. Epub 2023 Mar 16. Crit Care Med. 2023. PMID: 36927631 Free PMC article.
DESIGN: PICTURE is a deterioration index designed for the general ward, which uses structured EHR data such as laboratory values and vital signs. ...AUPRC was standardized to a 2.5% event rate. PICTURE also outperformed both the Epic Deterioration I …
DESIGN: PICTURE is a deterioration index designed for the general ward, which uses structured EHR data such as laboratory valu …
Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.
Mou Z, Godat LN, El-Kareh R, Berndtson AE, Doucet JJ, Costantini TW. Mou Z, et al. J Trauma Acute Care Surg. 2022 Jan 1;92(1):74-80. doi: 10.1097/TA.0000000000003431. J Trauma Acute Care Surg. 2022. PMID: 34932043 Free PMC article.
While an EHR ML model has been developed to predict clinical deterioration, it has yet to be validated for use in trauma. We hypothesized that the Epic Deterioration Index (EDI) would predict mortality and unplanned intensive care unit (ICU) admission …
While an EHR ML model has been developed to predict clinical deterioration, it has yet to be validated for use in trauma. We hypothes …
Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods.
Cummings BC, Ansari S, Motyka JR, Wang G, Medlin RP Jr, Kronick SL, Singh K, Park PK, Napolitano LM, Dickson RP, Mathis MR, Sjoding MW, Admon AJ, Blank R, McSparron JI, Ward KR, Gillies CE. Cummings BC, et al. JMIR Med Inform. 2021 Apr 21;9(4):e25066. doi: 10.2196/25066. JMIR Med Inform. 2021. PMID: 33818393 Free PMC article.
BACKGROUND: COVID-19 has led to an unprecedented strain on health care facilities across the United States. Accurately identifying patients at an increased risk of deterioration may help hospitals manage their resources while improving the quality of patient care. Here, we …
BACKGROUND: COVID-19 has led to an unprecedented strain on health care facilities across the United States. Accurately identifying patients …