Lack of estimates for care and inadequate patient follow-up negatively impact patient satisfaction.
Metrics such as patient wait times, bed turnover and staff-to-patient ratios need to be monitored and accessible to key staff to maintain quality of care.
Emergency room metrics such as wait times and number of patients who leave without being seen put patient health at risk.
Training initiatives, compliance protocols, outsourcing relationships, care partners – data is stored in separate systems and awkward or impossible to measure, let alone compare.
Quantifying workforce productivity, such as number of patients per day by employee, can be challenging across systems and facilities. And, you need to look beyond standard efficiency measurements to uncover risk, such as the number of mistake events.
You need analytics beyond standard business intelligence. You are looking for insights such as costs by payer, procedure profitability and how staffing levels impact charges.
Your operations sit inside a multitude of different facilities and platforms, creating challenges when tracking productivity and performance. Establishing realistic goals, creating predictions and KPI performance comparisons are time-consuming and laborious exercises because data from every system needs to be extracted and then aggregated.
Our umbrella solution reaches across your enterprise to deliver a comprehensive analysis of performance which increases patient satisfaction and leads to better health outcomes.
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Only 30% of US hospitals use a clinical data warehouse and only 33% of healthcare organizations use business intelligence tools.*
"Big data is a major differentiator for high performing organizations as it increases revenue (8%) and can reduce operational costs."**
*Source: HIMSS Analytics
Ying Liu, “Big Data and Predictive Business Analytics.” (The Journal of Business Forecasting, 2014).