{"id":9623,"date":"2020-05-15T08:30:49","date_gmt":"2020-05-15T13:30:49","guid":{"rendered":"https:\/\/www.osfhealthcare.org\/blog\/?p=9623"},"modified":"2020-05-15T09:34:00","modified_gmt":"2020-05-15T14:34:00","slug":"ensuring-facilities-have-what-they-need-for-a-pandemic","status":"publish","type":"post","link":"https:\/\/osf-blog.live.imagescape.com\/blog\/ensuring-facilities-have-what-they-need-for-a-pandemic\/","title":{"rendered":"Ensuring facilities have what they need for a pandemic"},"content":{"rendered":"<p>When the <a href=\"http:\/\/osfhealthcare.org\/covid19\">novel coronavirus (COVID-19)<\/a> hit the state of Illinois, no one really knew what to expect. Would OSF HealthCare <a href=\"https:\/\/www.osfhealthcare.org\/practices\/search\/?adv-practice_type=1\">hospitals<\/a> be overwhelmed with patients like health care facilities in New York City? Did the organization need to bring in more staff, and start ordering as much Personal Protective Equipment as possible? Should the health care system secure access to the Peoria Civic Center in case it runs out of space for patients?<\/p>\n<p>These were all concerning and very real questions OSF HealthCare had to ask, knowing the virus would likely make its way to the many areas the Ministry serves. But first, leaders had to understand how COVID-19 would impact each of its communities across Illinois as well as in Michigan. Advanced Analytics helped the organization get a handle on how many individuals could get the disease in each region through the creation of the <a href=\"https:\/\/www.osfhealthcare.org\/blog\/predictive-models-help-osf-healthcare-plan-for-the-worst\/\">OSF Pandemic Impact Model<\/a>.<\/p>\n<p>Going a step further, the team built the Pandemic Capacity Management Model, another predictive tool, to gain foresight into any capacity constraints health care facilities could face if they were overwhelmed with patients. Both models have been critical in the fight against the virus.<\/p>\n<h2>Pandemic Capacity Management Model<\/h2>\n<p>The OSF Pandemic Impact and Capacity Management Models work hand-in-hand to anticipate needs across the organization. Pandemic Impact Model data feeds into the Capacity Management tool, along with length of stay projections and information from each medical facility, such as bed counts, staff needs and medical devices, to accurately forecast staffing and supply needs.<\/p>\n<p>\u201cBased on various scenarios, we can pinpoint how many days we have until we hit capacity on any number of items,\u201d said Chris Franciskovich, director of <a href=\"https:\/\/www.osfhealthcare.org\/blog\/healthcare-analytics-leveraging-data-to-transform-health-care\/\">Advanced Analytics<\/a>. \u201cThat allows our planning team to increase resources at facilities that need it most before it\u2019s too late.\u201d<\/p>\n<p>The OSF Pandemic Impact Model quickly minimized fears of overcrowding at a majority of OSF HealthCare facilities. The model projected there wouldn\u2019t be nearly as many COVID-19 cases in downstate Illinois compared to larger cities like Chicago. The Capacity Management tool showed OSF HealthCare likely wouldn\u2019t need an overabundance of space, staff and supplies at its hospitals.<\/p>\n<p>\u201cWith that information, we were able to shift our focus on how to optimize capacity in each of our regions,\u201d said Emily Shields, vice president of Business Development and lead on pandemic planning efforts from a business perspective. \u201cAs additional space is needed in certain hospitals, we can look at using resources in the most effective and efficient ways possible.\u201d<\/p>\n<p>As an example, at the very beginning of the COVID-19 outbreak some facilities were worried about having enough negative-pressure rooms, oxygen and ventilators to properly care for patients with the disease. The Capacity Management Model helped calm those fears.<\/p>\n<h2>A realistic view of the pandemic<strong>\u00a0<\/strong><\/h2>\n<p>Overall, the Pandemic Impact and Capacity Management Models gave OSF HealthCare a realistic view of how COVID-19 would impact the organization and its various facilities. That means the health care system didn\u2019t need to expend resources and energy into getting additional non-medical spaces under contract for patient overflow, and it allowed for the <a href=\"https:\/\/www.osfhealthcare.org\/blog\/how-health-care-workers-are-moved-to-areas-of-highest-need\/\">sharing of resources<\/a> among hospitals.<\/p>\n<p>\u201cWe\u2019ve been able to save capital and time which are valuable resources at this critical moment,\u201d said Shields. \u201cWe are also so much better informed and have plans in place should we ever run out of space, staff or supplies. Our patients can have peace of mind that we are prepared and will be there for them, regardless of how this pandemic shakes out.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Running out of space, staff and supplies has not been an issue for OSF HealthCare during the COVID-19 pandemic thanks to predictive modeling.<\/p>\n","protected":false},"author":23,"featured_media":9645,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[969,355],"tags":[635,652],"coauthors":[682],"class_list":["post-9623","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-covid-19","category-innovation","tag-advanced-analytics","tag-disaster-preparedness"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ensuring facilities have what they need for a 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