Written by London Automation cofounders Michael London and Brandon Danner
In healthcare philanthropy, the partnership between frontline fundraisers and clinicians is the cornerstone of any successful grateful patient program. Traditionally, hospital foundations have relied heavily on doctors and nurses to identify which patients might be inclined to give. But as development goals grow and clinical schedules become more overwhelmed, how those relationships are managed must evolve.
“The way that we used to build grateful patient programs is through clinical relationships. We would go talk to our doctors, and they were a great way to identify prospects, especially those who had great hidden wealth. The way that you can add value to that, and the thing that you should be thinking about, is the value that data can add. And this is where the AI can really shine and help to enhance what you’re doing with your clinicians.”
Brandon Danner
But what happens when that dynamic is flipped? Instead of relying on clinicians to find the wealth, foundations can use data as the foundation of the relationship.
Why Should You Not Strictly Rely on Clinician Referrals?
While doctors and nurses are incredible allies, their primary focus is, and always should be, patient care. When gift officers rely entirely on clinicians to source major gift prospects, it creates several inefficiencies:
- It relies on guesswork: Doctors are not wealth researchers. Asking them to identify “hidden wealth” or philanthropic capacity based solely on bedside interactions is an inaccurate way to build a pipeline.
- It creates administrative burden: Clinicians are already stretched thin. Adding prospect identification to their plates takes away from their core mission of healing.
- It limits the prospect pool: A clinician will only flag patients they have deep interactions with, meaning hundreds of high-capacity, high-affinity patients pass through the hospital unnoticed by the foundation.
How Does Data Shift the Clinician + Fundraiser Partnership Dynamic?
This is where artificial intelligence and automated data flows can completely transform the partnership. To build a sustainable program, foundations must shift from extracting information from doctors to providing them with actionable value.
“Instead of asking your clinicians who you should reach out to, why not come to them with a list of highly-vetted potential donors and then ask them for their help to meet with those donors over lunch, or better understand how the fundraising process works?”
Michael London
By leveraging AI-driven donor insights, development officers can approach clinical partners with a proactive strategy. Instead of walking into a physician’s office and asking for leads, gift officers can present a concise, data-backed list of patients who have already been vetted for both capacity and affinity.
When data is brought to the table, the nature of the request changes. Fundraisers can now ask clinicians for highly specific, high-value assistance:
- Warm Introductions: Asking a physician to join a fundraiser and a pre-qualified donor for lunch.
- Clinical Context: Gaining a deeper understanding of the patient’s care journey to ensure philanthropic outreach is deeply empathetic and timely.
- Process Education: Bringing clinical staff into the fold so they understand exactly how their care translates into transformational hospital funding.
What Does It Mean to Be the “Doctor of Fundraising?”
Eliminating the guesswork and bringing data-backed insights to clinician meetings elevates the fundraiser’s role from a requester to a strategic expert.
“It really is about becoming the doctor of fundraising, letting the doctors and clinicians take care of patients. The data that we provide enhances those relationships and can help you build the clinical partnerships to form a stronger great patient program.”
Brandon Danner
A gift officer would never be asked to diagnose a patient’s medical condition. Similarly, doctors should not be asked to diagnose a patient’s philanthropic capacity. Clinicians must be allowed to practice medicine, while the fundraising team uses specialized data tools to practice development.
What is the Winning Equation for Healthcare Philanthropy?
Building a robust major gift pipeline doesn’t mean choosing between data-driven tools and human relationships. It requires a seamless integration of both, often summarized by a simple equation:
Data + Clinical Relationships = Grateful Patient Fundraising.
When data is used to enhance clinical partnerships, everyone wins. Doctors can focus entirely on clinical outcomes, fundraisers can focus on building meaningful donor relationships, and hospitals receive the transformational gifts they need to advance their community impact.
Frequently Asked Questions (FAQs)
Question: How does AI improve the relationship between healthcare fundraisers and clinicians?
Answer: AI and data automation improve these partnerships by removing the burden of prospect identification from the clinician. Instead of asking doctors to guess which patients have philanthropic capacity, fundraisers can use AI to instantly screen the CRM and present doctors with a highly-vetted list of prospects. This respects the clinician’s time and allows them to focus solely on strategic relationship cultivation.
Q: What is the most effective way to approach doctors for a grateful patient program?
A: The best approach is to be proactive rather than reactive. Development officers should come to physician meetings equipped with a curated list of high-affinity patients generated by automated data flows. Positioning the fundraiser as the “doctor of fundraising” allows the clinical staff to focus on patient care, while the foundation guides the philanthropic strategy and seeks specific, targeted introductions.
Q: Can data and AI replace clinician relationships in hospital fundraising?
A: No. AI cannot replace the authentic, human connection between a patient and their care team, which is almost always the catalyst for a transformational gift. However, AI acts as the baseline infrastructure that makes these clinical relationships more efficient and effective. The most successful grateful patient programs rely on a combination of highly accurate data and strong clinical partnerships.
