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Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study

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Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study. / Koehler, Daniel; Ozga, Ann-Kathrin; Molwitz, Isabel; Görich, Hanna Maria; Keller, Sarah; Mayer-Runge, Ulrich; Adam, Gerhard; Yamamura, Jin.

In: EUR J RADIOL, Vol. 140, 109758, 2021.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Koehler, D, Ozga, A-K, Molwitz, I, Görich, HM, Keller, S, Mayer-Runge, U, Adam, G & Yamamura, J 2021, 'Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study', EUR J RADIOL, vol. 140, 109758. https://doi.org/10.1016/j.ejrad.2021.109758

APA

Koehler, D., Ozga, A-K., Molwitz, I., Görich, H. M., Keller, S., Mayer-Runge, U., Adam, G., & Yamamura, J. (2021). Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study. EUR J RADIOL, 140, [109758]. https://doi.org/10.1016/j.ejrad.2021.109758

Vancouver

Koehler D, Ozga A-K, Molwitz I, Görich HM, Keller S, Mayer-Runge U et al. Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study. EUR J RADIOL. 2021;140. 109758. https://doi.org/10.1016/j.ejrad.2021.109758

Bibtex

@article{a4f7b056be1f448f9e36b6ec07ef858c,
title = "Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study",
abstract = "PurposeThis retrospective study aims to analyze the distribution of demand and the duration of the diagnostic workup of suspected pulmonary embolism (PE) using computed tomography pulmonary angiography (CTPA).MethodsTime data from physical examination to report creation were identified for each CTPA in 2013 and 2018 at a tertiary hospital. Multivariable multinomial logistic and linear regression models were used to evaluate differences between 3 time intervals (I1: 6am-2pm, I2: 2pm-10pm, I3: 10pm-6am). A cosinor model was applied to analyze the amount of CTPA per hour.ResultsThe relative demand for CTPA from the emergency room was lower in l1 compared to l2 and l3 (I1/I2: odds ratio (OR) 0.84, 95 % confidence interval (CI) 0.78−0.91; I1/I3: OR 0.80, 95 % CI 0.72−0.89; peak 4:23 pm). Requests for in-patients displayed a tendency towards I1 (I1/2: OR 1.15, 95 % CI 1.06–1.24; l1/l3: OR 1.19, 95 % CI 1.07–1.33; peak 1:54 pm). The time from CTPA request to study was shorter in I3 compared to I1 and I2 in 2013 (I1/I3: ratio 5.23, 95 % CI 3.38–8.10; I2/I3: ratio 3.50, 95 % CI 2.24–5.45) and 2018 (I1/I3: ratio 2.27, 95 % CI 1.60–3.22; I2/I3: ratio 2.11, 95 % CI 1.50–2.97). This applied similarly to fatal cases (I1/I3: ratio 2.91, 95 % CI 1.78–4.75; I2/I3: ratio 2.45, 95 % CI1.52−3.95).ConclusionsThe temporal distribution of demand for CTPA depends on the sector of patient care and the processing time differs substantially during the day. Time series analysis can reveal such coherences and may help to optimize workflows in radiology departments.",
keywords = "Pulmonary embolism, Computed tomography angiography, Workflow, Quality control, Radiology",
author = "Daniel Koehler and Ann-Kathrin Ozga and Isabel Molwitz and G{\"o}rich, {Hanna Maria} and Sarah Keller and Ulrich Mayer-Runge and Gerhard Adam and Jin Yamamura",
year = "2021",
doi = "10.1016/j.ejrad.2021.109758",
language = "English",
volume = "140",
journal = "EUR J RADIOL",
issn = "0720-048X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Time series analysis of the in-hospital diagnostic process in suspected pulmonary embolism evaluated by computed tomography: An explorative study

AU - Koehler, Daniel

AU - Ozga, Ann-Kathrin

AU - Molwitz, Isabel

AU - Görich, Hanna Maria

AU - Keller, Sarah

AU - Mayer-Runge, Ulrich

AU - Adam, Gerhard

AU - Yamamura, Jin

PY - 2021

Y1 - 2021

N2 - PurposeThis retrospective study aims to analyze the distribution of demand and the duration of the diagnostic workup of suspected pulmonary embolism (PE) using computed tomography pulmonary angiography (CTPA).MethodsTime data from physical examination to report creation were identified for each CTPA in 2013 and 2018 at a tertiary hospital. Multivariable multinomial logistic and linear regression models were used to evaluate differences between 3 time intervals (I1: 6am-2pm, I2: 2pm-10pm, I3: 10pm-6am). A cosinor model was applied to analyze the amount of CTPA per hour.ResultsThe relative demand for CTPA from the emergency room was lower in l1 compared to l2 and l3 (I1/I2: odds ratio (OR) 0.84, 95 % confidence interval (CI) 0.78−0.91; I1/I3: OR 0.80, 95 % CI 0.72−0.89; peak 4:23 pm). Requests for in-patients displayed a tendency towards I1 (I1/2: OR 1.15, 95 % CI 1.06–1.24; l1/l3: OR 1.19, 95 % CI 1.07–1.33; peak 1:54 pm). The time from CTPA request to study was shorter in I3 compared to I1 and I2 in 2013 (I1/I3: ratio 5.23, 95 % CI 3.38–8.10; I2/I3: ratio 3.50, 95 % CI 2.24–5.45) and 2018 (I1/I3: ratio 2.27, 95 % CI 1.60–3.22; I2/I3: ratio 2.11, 95 % CI 1.50–2.97). This applied similarly to fatal cases (I1/I3: ratio 2.91, 95 % CI 1.78–4.75; I2/I3: ratio 2.45, 95 % CI1.52−3.95).ConclusionsThe temporal distribution of demand for CTPA depends on the sector of patient care and the processing time differs substantially during the day. Time series analysis can reveal such coherences and may help to optimize workflows in radiology departments.

AB - PurposeThis retrospective study aims to analyze the distribution of demand and the duration of the diagnostic workup of suspected pulmonary embolism (PE) using computed tomography pulmonary angiography (CTPA).MethodsTime data from physical examination to report creation were identified for each CTPA in 2013 and 2018 at a tertiary hospital. Multivariable multinomial logistic and linear regression models were used to evaluate differences between 3 time intervals (I1: 6am-2pm, I2: 2pm-10pm, I3: 10pm-6am). A cosinor model was applied to analyze the amount of CTPA per hour.ResultsThe relative demand for CTPA from the emergency room was lower in l1 compared to l2 and l3 (I1/I2: odds ratio (OR) 0.84, 95 % confidence interval (CI) 0.78−0.91; I1/I3: OR 0.80, 95 % CI 0.72−0.89; peak 4:23 pm). Requests for in-patients displayed a tendency towards I1 (I1/2: OR 1.15, 95 % CI 1.06–1.24; l1/l3: OR 1.19, 95 % CI 1.07–1.33; peak 1:54 pm). The time from CTPA request to study was shorter in I3 compared to I1 and I2 in 2013 (I1/I3: ratio 5.23, 95 % CI 3.38–8.10; I2/I3: ratio 3.50, 95 % CI 2.24–5.45) and 2018 (I1/I3: ratio 2.27, 95 % CI 1.60–3.22; I2/I3: ratio 2.11, 95 % CI 1.50–2.97). This applied similarly to fatal cases (I1/I3: ratio 2.91, 95 % CI 1.78–4.75; I2/I3: ratio 2.45, 95 % CI1.52−3.95).ConclusionsThe temporal distribution of demand for CTPA depends on the sector of patient care and the processing time differs substantially during the day. Time series analysis can reveal such coherences and may help to optimize workflows in radiology departments.

KW - Pulmonary embolism

KW - Computed tomography angiography

KW - Workflow

KW - Quality control

KW - Radiology

U2 - 10.1016/j.ejrad.2021.109758

DO - 10.1016/j.ejrad.2021.109758

M3 - SCORING: Journal article

VL - 140

JO - EUR J RADIOL

JF - EUR J RADIOL

SN - 0720-048X

M1 - 109758

ER -