Optimizing Staffing for a New Medical Facility

Optimizing Staffing for a New Medical Facility | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Optimizing Staffing for a New Medical Facility R. B. Irwin, M. A. Le, P. M. Muindi, D. X. Wang, Y. A. Lu, C. E. Koch, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5404460/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract When a new medical facility is planned, there is a need for staff members of various job roles and levels. For each of these roles, there are several different classifications for staff. Each of these classification groups have their respective advantages and disadvantages in terms of cost, productivity, new ideas, and other characteristics. These characteristics, which have a continuous range of values, differ for each type of job role. In addition, there are boundary conditions, which only have binary value, that also limit the proportion for each classification group. While the number of classifications is not limited, this publication will consider three primary classifications for staff: early career hires, experienced hires, and (experienced) transfers. This article details a method for using these metrics and boundary conditions to optimize the staffing using a visualization approach. While the equations for the metrics and boundary conditions can be solved directly, they do not answer how the optimum solution is obtained in the way that visualizations can. Since each facility and location may have its own unique requirements, this article discusses general principles and mathematical processes rather than exact prescriptions. staffing new facility early career experienced career transfers staff reduction Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5404460","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":375367762,"identity":"01683ec1-9e09-48fc-afcc-b23a137fa59a","order_by":0,"name":"R. B. 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