Referral Source Analytics: What to Track

Each of two hospitals sends 50 referrals to your skilled nursing facility. While these referrals may appear similar in volume and value, one hospital sends residents who are appropriate for your services. In contrast, the other sends residents your team cannot safely accept. A report that only shows referral volume does not capture this important distinction.

Referral Source Analytics enables skilled nursing teams to track each referral from start to finish. It identifies which opportunities match the facility’s capabilities, pinpoints where referrals may stall, and highlights when further discussion with partners is needed.

This information helps your team make well-informed decisions for residents and clearly communicate your capabilities to referral partners. Admissions leaders gain a greater insight beyond simple volume rankings.

This guide explains what to measure, how to compare sources fairly, and how to take action based on your results.

What Is Referral Source Analytics?

Referral source analytics will help you understand where referrals are coming from and what to expect afterward. It links each referral to the team’s decisions, admission outcomes, and reasons the team did not admit the resident. Always find the origin. This can be a hospital, a discharge planning department, a physician practice, or another referrer. Next, document where the information was received (e.g., through a portal, secure email, or fax). Make sure these areas are distinct, so your team knows who referred it and how it came about.

A good source report responds to the question more than “Who sent the most?” It displays advertisements and referrals that fit your facility, as well as those that resulted in admissions. It also provides insights on why other referrals have not progressed. Given this background, the admissions team and leaders will be able to engage in evidence-based discussion of hospital referral partners. Furthermore, they can recognize obstacles within, including limited bed availability or ambiguous descriptions of the assistance the facility provides.

Follow Each Referral From Receipt to Admission

Start with a small set of stages that everyone defines the same way:

Received → Reviewed → Clinically appropriate → Offered → Accepted → Admitted

Then clearly explain each stage and have everyone write it down in the same way. Specifically, define what it means to be “accepted”. Is the referral accepted or does the resident accept an offer from the facility? Track both decisions – label one decision and the other decision. Next, document an outcome for each referral, including those that don’t get made into an offer. Record the referring facility, the date of referral, the clinical fit decision, the final disposition, and the reason for the final disposition. Lastly, mark on the flag any referral that has been duplicated, withdrawn, or left open. If not, your team could double-count opportunities and could add unclosed referrals to its admissions rate.

Separate Source, Channel, and Individual Contact

A hospital can send referrals through multiple portals or discharge planners. On the other hand, a single portal could connect to numerous organizations, providing referrals. So, use separate fields to track the referring organization, delivery channel, and individual contact. When staff enter the portal as the source, they will not be able to view the number of referrals from each hospital. Similarly, if both partners go to the same hospital but under different names, they will be split across multiple rows. Firstly, design a standard name for each organization. Next, if the relationship makes sense in terms of departments or contacts, add them. Having consistent records allows for comparison of overall source trends and exploration of more detailed trends.

Document Why a Referral Did Not Become an Admission

Make sure to write a letter of explanation for a referral that was not accepted as an admission. Assign your team reason codes for referrals that do not convert to admission. Examples include the staff noting a need the facility could not meet, an inappropriate bed setup, a payer/authorization problem, or missing information. They can also write that the resident opted for another facility. Then have staff add a short explanation if a code does not completely account for the result. But make the note concise and include only details relevant to the team members’ authorization. Most important is to separate the resident’s or family’s choice from the facility’s decision. If the facility refuses to accept a referral, your team might need to explain what it can do. If the resident decides to participate in another facility, then it’s a different conversation.

Five Measures Worth Tracking by Referral Source

Each metric needs a defined numerator, denominator, and reporting period. Show the counts beside percentages so readers can judge their reliability.

1. Referral Volume and Trend

First, total the number of unique referrals that each source provides each month or quarter. Next, compare those counts over similar time periods to identify meaningful trends. For instance, a sudden spike could indicate a stronger relationship with the hospital. The hospital may have altered the way they discharge patients, though, or a duplicate feed may have overcounted. So it’s important to review the sources of those referrals and determine what has been happening before you assume this is growth. 

2. Clinical Fit Rate

Clinical fit rate = clinically appropriate referrals ÷ reviewed referrals × 100.

Your team analyzes 40 hospital referrals and determines that 28 of them meet your clinical criteria. The clinical fit rate of that hospital is 70%. This rate may indicate the value of your referrals from a partner. But if you’re comparing, you need to use the same criteria; otherwise, the comparison won’t have any meaning. If two facilities use different criteria, check the results independently for each facility. Last but not least, review your criteria when staffing, equipment, and/or clinical skills evolve. Next, inform referral partners of the changes so they can find a suitable placement.

3. Offer Rate and Admission Rate

Offer rate = referrals receiving a facility offer ÷ clinically appropriate referrals × 100.

Admission rate = completed admissions ÷ unique referrals received × 100.

These rates fulfill distinct purposes. The offer rate measures how often your facility can provide a bed after clinical fit is confirmed. The admission rate reflects the percentage of referrals that result in admission. A low offer rate may prompt your team to review bed availability or other constraints. Conversely, a low admission rate may suggest that many referrals are not clinically appropriate. Clearly label the denominator in each report. Without this, teams may use the term “conversion rates” to refer to different stages in the referral process.

4. Loss Reasons

Write the reasons for each clinically appropriate referral that did not result in an admission. Then, identify patterns by referral source and facility. For instance, if it is noticed that beds are unavailable at times, it may indicate a capacity problem. In the meantime, if there are gaps in the referral packets, start a discussion about what’s needed. If residents select other facilities, the team should discuss the reasons for each selection separately. But a reason code typically does not provide the full story. Before making a change to outreach or operations, check a few referrals and verify what actually occurred in each.

5. Resident Outcome Signals

If you have data to support this, go beyond the admission. Then inquire whether your facility can meet each admitted resident’s needs. Next, check whether the care team had the information and resources needed to plan appropriate care. But do not assign a quality score to each hospital based on a small number of residents. Residents’ clinical needs vary and can impact outcomes. Similarly, there is no substitute for formal quality measures with reports from referral sources. CMS outlines what is considered skilled nursing care, which includes discharge to community and potentially avoidable re-hospitalizations. As a result, when speaking about those measures, you must rely on the definitions set forth by CMS. Separate your internal referral analysis and provide an overview of the limitations.

How Flowtrics Supports Referral Source Visibility

Flowtrics integrates referral details, source information, reviews, and team decisions into the admissions workflow. Its analytics enable teams to track each referral from arrival to outcome. For example, an admissions manager can identify changes in referrals from a specific hospital and review records to understand the trend. Staff can access documents, communications, and outcomes in one place, eliminating the need to gather information from multiple sources.

As a result, teams can interpret referral counts in context. A partner that sends many referrals may need clearer guidance about the facility’s capabilities. Conversely, strong clinical fit alongside fewer admissions may prompt a review of bed availability or another constraint. Teams should clearly define each measure and guarantee precise report configuration. Clinical reviewers make admission decisions, and admissions managers use these outcomes to lead discussions with referral partners and pinpoint areas for improvement.

Frequently Asked Questions About Referral Source Analytics

What counts as a referral source in skilled nursing?

A referral source is the organization or person that sends a prospective resident to a facility for consideration. Hospitals, physician practices, and other care partners may be sources. The portal or fax used to send the packet is a channel.

What is the difference between referral volume and conversion?

Volume counts how many unique referrals a source sends. Conversion describes how many reach a defined later stage, such as an offer or completed admission. Always state the stage and denominator.

Which referral source metric matters most?

No single metric explains the relationship. Combine volume, clinical fit, offers, admissions, and loss reasons. Then, review actual cases and resident needs before drawing conclusions.

How often should a facility review source performance?

Check unresolved dispositions regularly so records remain accurate. Then, review source trends monthly or quarterly, depending on volume. Small samples may require a longer period.

Can source analytics identify the “best” hospital partner?

It can identify useful patterns, but “best” depends on your definition. A fair review considers resident fit, patient choice, operational limits, and reliable outcomes. A raw admission rate cannot settle that question.

Make Every Source Conversation More Informed

Source analytics moves from a basic list of numbers to smarter questions. Who gets your capabilities? Where are good referrals lost? What improvements should both sides make? Start with standardized source names and desired outcomes. Compare sources using the correct denominators and context. Then apply those insights to specific partner conversations.

This is not a competition for dashboard features. It is about helping the right residents find the right care and providing referral partners with reliable data. 

Ready to learn what lies behind your referrals? Contact us at Flowtrics for a demo on connected referral tracking and source analytics.