How Post Acute Care (PAC) Providers Use Data to Understand their Business Better

Many business leaders have said, “What you can’t measure, you can’t improve.” While the original source of the quote may not be clear, the intent of the message is. You need specific measures (aka data) to understand and improve your business.

What is healthcare data analytics anyway?

Data is just data until you do something with it. A lot of healthcare organizations including #postacutecare organizations struggle with either too much, not enough, or poor-quality data. Wherever you are in your data journey, it’s difficult to interpret data when:

·????? you’re overwhelmed with raw numbers.

·????? there is limited data available for decision making.

·????? there is a tedious, manual processes to obtain data.

·????? you only have access to poor quality data.

Data analytics is the practical application of using data to gain meaningful insights to guide business and operational decision making. Data can paint a picture of inefficiencies, or bottle necks, and help you understand your business and market.

Before using data to support your decision making, you first must trust the source. There are many powerful business intelligence data tools available. We have worked extensively with our users, case managers and business leaders, to ensure that the analytics tools we offer provide data that is valuable, verified and validated. And most importantly, is meaningful to your business.

Our Data Analytics Tools in Action

AIDA Analytics brings real time data to your fingertips. It offers a complete set of analytics reports that enable post-acute providers to understand insights and trends from their referral metrics.? As of the end of Q3 2023, we have several mid-to-large post-acute providers that are subscribing to these reports.?The analytics enable these providers to identify areas of opportunity and take direct action to impact the metrics.??

Collectively, we have seen the following performance improvements in the last 90 days among the post-acutes subscribing to the analytics:

• A decrease of 23% in the average time to open referrals
• A decrease of 33% in the average time to accept referrals
• An improvement in average time to book referrals from 80 hours to 51 hours; in other words, they. reduced the time to booked referrals by more than one full day
• An improvement in the booking rate (referrals booked/referrals accepted) from 23.8% to 25.9%
• An improvement in the conversion rate (patients discharged to provider/referrals received) from 5.5% to 6.5%

For more information on AIDA referral analytics, please?visit PAC Solutions – Aida (aidahealthcare.com)?or email [email protected]

#healthdata #healthcare #healthanalytics #postacuteproviders