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Disrupting Post-Acute Care With Data: A Q&A With Aidin’s CEO, Russ Graney

Today, hospital patients choose their nursing home, home health agency, or other post-acute care (PAC) provider with little to no information about them.  Most hospital case management teams present patients with a list of PAC names, phone numbers and addresses to choose from, leaving patients to do their own research, if any.  As a result, most patients simply choose the PAC closest to home.

Russ Graney

Recently I chatted with Russ Graney (pictured to the right), CEO and Co-founder of Aiden. Teaming up with partners Mike Galbo and Janan Rajeevikaran, Russ founded Aidin to improve the patient placement process for hospital care managers, post-acute providers and patients alike. Below is the transcript from our discussion. 

Bryan: How is Aidin disrupting the post-acute space?

Russ: What we discovered with Aidin is that when you present patients with quality data about their PAC options, 80% will use that data to choose a high-performing provider – which as it turns out, we’re seeing has a significant impact on readmissions and hospital social worker efficiency.

Aidin is ‘disruptive’ because it re-aligns hospital, patient and PAC incentives around quality.  By making patients knowledgeable consumers about their PAC decisions and allowing PACs to compete for referrals based on their outcomes, Aidin creates a direct financial incentive for the PACs in your area to focus more of their time on quality and outcomes, and less on radio ads and billboards. 

Bryan: What data are you sharing with patients, and how do they access it?

Russ: Social workers with access to Aidin present patients with a 1-page profile for every PAC that offers them placement.  The profile has a few sections:

  1. Nursing Home Compare and Home Health Compare - The starting place for our data is Center for Medicare & Medicaid Services’ Nursing Home Compare and Home Health Compare.  Combining these publicly available data sets with diagnoses and demographics we know about each patient entered in our system, Aidin combs through these public datasets to calculate how each provider performed with patients similar to you in the past.
  2. Patient Outreach and Hospital Integration - Aidin tracks readmission rates for each PAC in our clients’ areas as well as patient ratings and reviews from every patient discharged through the system.  Like the CMS data, readmission rates and patient reviews are filtered for every patient to show data from previous patients with health needs similar to theirs.
  3. Provider Content: Pictures, Maps and Missions - Aidin encourages PACs to share photos, service offerings and their missions to be included on their provider profile.  This information helps patients get a sense for each facility or agency without leaving their hospital bed and leads to faster and more informed decisions.

Bryan: What results do you see in hospitals adopting your solution?

Russ: Combined with a workflow we designed specifically to introduce quality data into every patient choice conversation, our latest pilots show that implementing Aidin can lead to readmission reductions between 3 and 11 points and an average time savings of 2-4 hours every day for every social worker and case manager.

To learn more about Aidin, watch their demo video at