Mining electronic health records (EHRs) A survey

P Yadav, M Steinbach, V Kumar, G Simon - ACM Computing Surveys …, 2018 - dl.acm.org
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Clinical decision-support systems for detection of systemic inflammatory response syndrome, sepsis, and septic shock in critically ill patients: a systematic review

A Wulff, S Montag, M Marschollek… - Methods of information …, 2019 - thieme-connect.com
Background The design of computerized systems able to support automated detection of
threatening conditions in critically ill patients such as systemic inflammatory response …

Delay within the 3-hour surviving sepsis campaign guideline on mortality for patients with severe sepsis and septic shock

L Pruinelli, BL Westra, P Yadav, A Hoff… - Critical care …, 2018 - journals.lww.com
Objectives: To specify when delays of specific 3-hour bundle Surviving Sepsis Campaign
guideline recommendations applied to severe sepsis or septic shock become harmful and …

Effectiveness of automated alerting system compared to usual care for the management of sepsis

Z Zhang, L Chen, P Xu, Q Wang, J Zhang, K Chen… - NPJ Digital …, 2022 - nature.com
There is a large body of evidence showing that delayed initiation of sepsis bundle is
associated with adverse clinical outcomes in patients with sepsis. However, it is …

[HTML][HTML] Epic sepsis model inpatient predictive analytic tool: a validation study

J Cull, R Brevetta, J Gerac, S Kothari… - Critical care …, 2023 - journals.lww.com
OBJECTIVES: Earlier treatment of sepsis leads to decreased mortality. Epic is an electronic
medical record providing a predictive alert system for sepsis, the Epic Sepsis Model (ESM) …

[HTML][HTML] Digital alerting and outcomes in patients with sepsis: systematic review and meta-analysis

M Joshi, H Ashrafian, S Arora, S Khan, G Cooke… - Journal of medical …, 2019 - jmir.org
Background The diagnosis and management of sepsis remain a global health care
challenge. Digital technologies have the potential to improve sepsis care. Objective The aim …

Evaluation of the effectiveness of an automated sepsis predictive tool on patient outcomes

M Schootman, C Wiskow, T Loux, L Meyer, S Powell… - Journal of critical …, 2022 - Elsevier
Purpose To evaluate the effectiveness of a multidisciplinary, hospital-wide program as part
of an electronic sepsis alert tool. Materials and methods We used data from 15 hospitals …

Information displays for automated surveillance algorithms of in-hospital patient deterioration: a sco** review

YKJ Wan, MC Wright, MM McFarland… - Journal of the …, 2024 - academic.oup.com
Objective Surveillance algorithms that predict patient decompensation are increasingly
integrated with clinical workflows to help identify patients at risk of in-hospital deterioration …

Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data

K Honeyford, GS Cooke, A Kinderlerer… - Journal of the …, 2020 - academic.oup.com
Objective The study sought to determine the impact of a digital sepsis alert on patient
outcomes in a UK multisite hospital network. Materials and Methods A natural experiment …

[HTML][HTML] The effect of the intelligent sepsis management system on outcomes among patients with sepsis and septic shock diagnosed according to the sepsis-3 …

J Song, H Cho, DW Park, S Ahn, JY Kim… - Journal of Clinical …, 2019 - mdpi.com
We developed a novel computer program, the Intelligent Sepsis Management System,
based on Sepsis-3 definitions and 2016 Surviving Sepsis Campaign guidelines and …