9/3/2023 0 Comments Steward health care network![]() This is highly inefficient, and typically leads to hospitals incurring extremely high expenses for on-call staff and overtime pay. Unfortunately, by working against a static average, this means that during peaks in patient volume, the hospital is often understaffed, and during valleys in patient volume, the hospital is often overstaffed. ![]() For planning and scheduling purposes, the typical hospital staffing model is set to average census and volume. Sixty percent of hospital operations expenses come from staffing alone, representing a massive line item on any hospital’s budget 1. Erin Sullivan Executive Director of Information Systems and Software Development, Steward Health Care The Problem of Staffing in Healthcare We are using DataRobot to make some pretty huge decisions at Steward Health Care. “The best way to use it to our advantage is to learn from it, and DataRobot has the tools to help us take historical data, manipulate it, and learn from it.” “We have data – a lot of data – and we want to use it to our advantage,” she said. The answer to solving that challenge lay within the data. In order to focus their efforts, Steward Health Care decided to tackle one of the most pressing challenges facing hospital operations - staffing volume. Erin was tasked with improving operational efficiency among Steward’s network of 38 hospitals in the United States, with an eye toward reducing costs. The responsibility to find an answer to this question fell to Erin Sullivan, the Executive Director of Information Systems and Software Development at Steward Health Care. For Steward Health Care, the largest for-profit private hospital operator in the United States, all that data represented a massive opportunity, and a big question: How can they use predictive analytics, machine learning, and artificial intelligence (AI) in healthcare to drive value from all of this data? Hospitals, by law, have to record, collect, and maintain a lot of data. DataRobot Success Stories See how organizations like yours have realized more value from their AI initiatives.Deployment Infrastructure Choose how you want to deploy DataRobot, from managed SaaS, to private or public cloud.Platform Integrations Unify your data warehouses, ML APIs, workflow tooling, BI tools and business apps.Monitor and Measure ROI Monitor, measure and diagnose model accuracy, ROI, and bias in real-time from any hosting environment.Integrate Models Deploy and integrate any model, anywhere with multiple deployment options.Validate and Govern Models Create a centralized system of record for all models, test, approve, and automate compliance documentation.Make Business Decisions Evaluate model performance, identify key drivers, and create customizable apps to drive decisions.Build Models Train hundreds of modeling strategies in parallel using structured and unstructured data.Prepare Modeling Data Connect data, assess data quality, engineer new features, and integrate with feature stores.Discover the DataRobot AI Platform The only fully open, end-to-end AI lifecycle platform with deep ecosystem integrations and applied AI expertise.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |