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.