Tags

Type your tag names separated by a space and hit enter

CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19.
Mach Learn. 2020 Nov 24 [Online ahead of print]ML

Abstract

The coronavirus disease 2019 (COVID-19) global pandemic poses the threat of overwhelming healthcare systems with unprecedented demands for intensive care resources. Managing these demands cannot be effectively conducted without a nationwide collective effort that relies on data to forecast hospital demands on the national, regional, hospital and individual levels. To this end, we developed the COVID-19 Capacity Planning and Analysis System (CPAS)-a machine learning-based system for hospital resource planning that we have successfully deployed at individual hospitals and across regions in the UK in coordination with NHS Digital. In this paper, we discuss the main challenges of deploying a machine learning-based decision support system at national scale, and explain how CPAS addresses these challenges by (1) defining the appropriate learning problem, (2) combining bottom-up and top-down analytical approaches, (3) using state-of-the-art machine learning algorithms, (4) integrating heterogeneous data sources, and (5) presenting the result with an interactive and transparent interface. CPAS is one of the first machine learning-based systems to be deployed in hospitals on a national scale to address the COVID-19 pandemic-we conclude the paper with a summary of the lessons learned from this experience.

Authors+Show Affiliations

University of Cambridge, Cambridge, UK.University of California, Los Angeles, USA.University of Cambridge, Cambridge, UK. University of California, Los Angeles, USA. The Alan Turing Institute, London, UK.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33250568

Citation

Qian, Zhaozhi, et al. "CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19." Machine Learning, 2020, pp. 1-21.
Qian Z, Alaa AM, van der Schaar M. CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach Learn. 2020.
Qian, Z., Alaa, A. M., & van der Schaar, M. (2020). CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Machine Learning, 1-21. https://doi.org/10.1007/s10994-020-05921-4
Qian Z, Alaa AM, van der Schaar M. CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. Mach Learn. 2020 Nov 24;1-21. PubMed PMID: 33250568.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. AU - Qian,Zhaozhi, AU - Alaa,Ahmed M, AU - van der Schaar,Mihaela, Y1 - 2020/11/24/ PY - 2020/07/13/received PY - 2020/09/05/revised PY - 2020/09/26/accepted PY - 2020/11/30/entrez PY - 2020/12/1/pubmed PY - 2020/12/1/medline KW - Automated machine learning KW - COVID-19 KW - Compartmental models KW - Gaussian processes KW - Healthcare KW - Resource planning SP - 1 EP - 21 JF - Machine learning JO - Mach Learn N2 - The coronavirus disease 2019 (COVID-19) global pandemic poses the threat of overwhelming healthcare systems with unprecedented demands for intensive care resources. Managing these demands cannot be effectively conducted without a nationwide collective effort that relies on data to forecast hospital demands on the national, regional, hospital and individual levels. To this end, we developed the COVID-19 Capacity Planning and Analysis System (CPAS)-a machine learning-based system for hospital resource planning that we have successfully deployed at individual hospitals and across regions in the UK in coordination with NHS Digital. In this paper, we discuss the main challenges of deploying a machine learning-based decision support system at national scale, and explain how CPAS addresses these challenges by (1) defining the appropriate learning problem, (2) combining bottom-up and top-down analytical approaches, (3) using state-of-the-art machine learning algorithms, (4) integrating heterogeneous data sources, and (5) presenting the result with an interactive and transparent interface. CPAS is one of the first machine learning-based systems to be deployed in hospitals on a national scale to address the COVID-19 pandemic-we conclude the paper with a summary of the lessons learned from this experience. SN - 0885-6125 UR - https://www.unboundmedicine.com/medline/citation/33250568/CPAS:_the_UK's_national_machine_learning_based_hospital_capacity_planning_system_for_COVID_19_ L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/33250568/ DB - PRIME DP - Unbound Medicine ER -
Try the Free App:
Prime PubMed app for iOS iPhone iPad
Prime PubMed app for Android
Prime PubMed is provided
free to individuals by:
Unbound Medicine.