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Predictive analytics for scheduling in hospitals

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HOSPITALS GRAPPLE WITH STAFFING CHALLENGES EVERY DAY
Almost 70% of Clinical Manager time & effort is spent addressing staffing challenges such as shortage of physician & nurses, staff imbalance, overtime & burnout. Research indicate a direct correlation between staffing issues & clinical outcome. Inopportune scheduling impacts patient safety, quality of care, patient satisfaction & the revenue of hospital.

THE AGE OF ALGORITHM BASED SCHEDULING
Today we have predictive models & algorithms available that can accurately schedule not just for next shift, but for the next few months. Hospitals can leverage this emerging technology to achieve patient-centric scheduling & better staff utilization.
We have developed one such solution for a Healthcare Platform that leverages Machine Learning & advanced mathematical models to schedule hospital operations.

STEP 1: AUTOMATE DATA COLLECTION
Better quality & completeness of data leads to accurate scheduling. Automation of data collection with minimal human intervention is an important first step. However, automation is easier said than done with inherent challenges such as data inconsistency, variety of data sources & complexity arising from multi-technology landscape.

To overcome these challenges, we built a comprehensive data collection & data validation solution that automates data collation, detects anomaly & integrates well will various systems. Data feeds includes historical EHR, future appointment & current staff schedules.

STEP 2: UNDERSTAND THE BIG PICTURE USING PREDICTIVE MODELS
Our predictive model looks at the big picture – resource availability, staff schedules, operating hours, appointment history & hundreds of other parameters. The result is an accurate patient centric scheduling that minimizes patient wait time & improves the quality of patient care.
STEP 3: BUILT-IN REPORTING & ALLOCATION
An easy-to-understand visual dashboard helps the stakeholders to review past performance, providing insights into patient wait time, staff utilization, treatment volume & mix of other variables. This enables them to understand trends, forecast demand, plan future hiring & address any operational gaps.

Publié dans : Données & analyses

Predictive analytics for scheduling in hospitals

  1. 1. Predictive Analytics for Better Scheduling in Hospitals Insights from Imaginea Private and confidential. Copyright (C) 2017, Imaginea Technologies Inc. All rights reserve.
  2. 2. Hospitals grapple with staffing challenges every day Shortage of physician & nurses Staff imbalance Overtime Burnout 70% of Clinical Manager time & effort is spent addressing staffing challenges
  3. 3. Research indicates a direct correlation between staffing issues & clinical outcome Clinical issuesStaffing issues Patient safety Quality of care Patient satisfaction Revenue IMPACTS
  4. 4. The age of algorithm based scheduling Today we have predictive models & algorithms that can accurately schedule not just for next shift, but for next few months. Hospitals can leverage this emerging technology to achieve patient-centric scheduling & better staff utilization. We have developed one such solution for a leading Healthcare Platform that leverages Machine Learning & advanced mathematical models to schedule hospital operations
  5. 5. Better quality & completeness of data leads to more accurate scheduling To overcome these challenges, we built a comprehensive data collection & data validation solution that automates data collation, detects anomaly & integrates well will various systems. Data feeds include historical EHR, future appointment & current staff schedules. Data inconsistency Variety of data sources Complex technology landscape Data Quality Challenges
  6. 6. Understand the big picture using predictive models Data analyzed Resource availability Staff schedules Operating hours Appointment history Other parameters The result is an accurate patient centric scheduling that minimizes patient wait time & improves the quality of patient care PREDICTIVE ENGINE
  7. 7. Built-in reporting & allocation Have an embedded easy to understand visual dashboard with key performance metrics Patient wait time Staff utilization Treatment volume Forecast demand Understand trends
  8. 8. STAFF COST >50% Staff costs are more than half the expenditure for hospitals Predictive scheduling will have a direct impact on the profit margin through better utilization
  9. 9. Benefits of Predictive Analytics in Hospital Scheduling Better patient care Less patient wait time Increase in patient access Reduced healthcare delivery cost
  10. 10. EXPLORE PREDICTIVE ANALYTICS WITH IMAGINEA?  Among early adopters who have been building Predictive Scheduling engine since 2008  Built an advanced predictive recommendation engine for a Retail Personalization Platform  First movers & open source contributors to Big Data technology such as Apache Spark, Apache Hadoop & Zeppelin To find out more, visit http://www.imaginea.com
  11. 11. Disclaimer This document may contain forward-looking statements concerning products and strategies. These statements are based on management's current expectations and actual results may differ materially from those projected, as a result of certain risks, uncertainties and assumptions, including but not limited to: the growth of the markets addressed by our products and our customers' products, the demand for and market acceptance of our products; our ability to successfully compete in the markets in which we do business; our ability to successfully address the cost structure of our offerings; the ability to develop and implement new technologies and to obtain protection for the related intellectual property; and our ability to realize financial and strategic benefits of past and future transactions. These forward-looking statements are made only as of the date indicated, and the company disclaims any obligation to update or revise the information contained in any forward-looking statements, whether as a result of new information, future events or otherwise. All Trademarks and other registered marks belong to their respective owners. Copyright © 2012-2015, Imaginea Technologies, Inc. and/or its affiliates. All rights reserved. Credits Images under Creative Commons Zero license. Private and confidential. Copyright (C) 2017, Imaginea Technologies Inc. All rights reserve.

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