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Predictive Analytics for Hospital Flow.

 Predictive Analytics for Hospital Flow.

ANSWER

Project Topic: “Utilizing Predictive Analytics to Improve Hospital Patient Flow”

Problem Statement: Hospital patient flow is a critical aspect of healthcare management, impacting both patient experience and operational efficiency. Delays in patient admission, discharge, and transfer can result in overcrowded emergency departments, prolonged wait times, and increased healthcare costs. To address these issues, it is essential to implement predictive analytics to optimize patient flow within hospitals. This project aims to leverage data-driven insights to enhance the overall patient experience and streamline healthcare operations.

References:

  1. Boyle, J., Jessup, M., Crilly, J., Green, D., & Lind, J. (2012). Predicting emergency department admissions. Emergency Medicine Journal, 29(5), 358-365.
  2. Rehn, M., Conradi, H., Malamud, M., & Moe, J. (2015). Real-time estimation of patient transfer times. Procedia Computer Science, 64, 366-373.
  3. Van Rosse, F., Maat, B., Rademaker, C., & van Vught, A. (2015). Using real-time data for monitoring and optimizing emergency department patient flow. IEEE Journal of Biomedical and Health Informatics, 19(1), 29-38.
  4. Litvak, E., Bisognano, M., & Tague, C. (2005). Optimizing patient flow: Advanced strategies for managing variability to enhance access, quality, and safety. San Francisco, CA: Jossey-Bass.
  5. Sood, H. S., & Komashie, A. (2018). Predictive analytics in healthcare: A review of the literature and a case study of a critical care hospital. Health Systems, 7(1), 1-19.

This project will focus on utilizing predictive analytics models and historical patient data to forecast patient admissions, optimize bed allocation, and minimize wait times. By improving hospital patient flow, we aim to enhance the quality of care, reduce operational costs, and ultimately improve the patient experience within the healthcare organization.

 Predictive Analytics for Hospital Flow.

QUESTION

Description

 

 

Select a data review project topic. Then, write a topic description that includes the problem statement and list of supporting references.Introduction

OVERVIEW AND PREPARATION

Read the following documents:

Data Review Project Overview [PDF].

Project Topic Selection [PDF].

The information provided in these two documents will help you in choosing a project of reasonable scope that is central to your career development goals and would be of value to your targeted health care organization. In addition, they provide guidance, recommendations, and examples that are crucial to successfully completing this assessment. You are encouraged to download both the documents and keep them on hand as ready references.In addition, download and review the template you will use to complete this assessment:

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