Patient Lifetime Value: Know Your Best Patients (And Get More Like Them)

Most solo doctors can answer this question: "How many patients did I see last month?"

Far fewer can answer: "Of those patients, which 10 spent the most money? Where did they come from? What's the average lifetime value of a referral patient vs a Google patient?"

Those are the questions that decide whether your practice grows or stagnates. They're also the questions most clinic software can't answer.

Here's how DRP-OS tracks patient value, source, and engagement — and why it matters.

What gets tracked per patient

In DRP-OS, each patient record includes:

• grand_total_cached — total revenue from this patient (lifetime)
• status — patient lifecycle stage (new, active, lapsed, churned)
• source — where this patient came from (walk-in, referral, online, social, ads)
• tags — free-form tags for segmentation (e.g., "diabetes", "VIP", "elderly", "corporate")
• first visit date — when they first came (derived from created_at)
• last visit date — most recent contact (derived from visits)
• created_by_doctor — which doctor onboarded them (multi-doctor practices)

Together, these fields let you see patterns most clinics miss.

Lifetime value, cached

The grand_total_cached field is computed automatically. Every time a visit is finalized with payment, the patient's total updates.

From the patient list view, you can sort by lifetime value descending and see your top 50 patients immediately.

For most Indian solo clinics, this list is revealing:

• Top 20% of patients usually contribute 60-70% of revenue
• The "best" patient is rarely the one who comes most often — it's the one with chronic conditions who needs ongoing care
• Cosmetic/specialty patients have much higher LTV than general consultation patients

Source tracking: where do your best patients come from?

The source field captures the patient acquisition channel. Common values used by Indian clinics:

• walk-in — came to the clinic without prior contact
• referral — sent by another doctor (specialist referral)
• patient_referral — recommended by an existing patient
• online — booked through the portal/website
• google_search — found you on Google
• google_ads — clicked a paid ad
• facebook / instagram — social media
• practo / justdial — directory listings
• insurance — referred by insurance/TPA
• corporate — empanelled company

Track this from the patient's first visit. After 6 months of tracking, you can run a simple report: "Average LTV by source."

Typical findings in Indian clinics:

Source	Average LTV	Conversion Rate
Patient referral	₹12,000 - 25,000	Highest — trust pre-built
Doctor referral	₹15,000 - 40,000	High — specific need
Walk-in	₹3,000 - 8,000	Lowest — often one-time
Google search	₹6,000 - 15,000	Medium
Google Ads	₹4,000 - 12,000	Medium-low
Social media	₹2,000 - 6,000	Lowest quality leads

This tells you where to invest. A clinic that learns "patient referrals are 4x more valuable than ads" starts focusing on referral programs instead of more ad spend.

Status: patient lifecycle

The status field tracks where each patient is in their relationship with your clinic. Common statuses:

• new — first-ever visit (default)
• active — recent visits, ongoing care
• followup_due — should come back but hasn't
• lapsed — no visit in 6+ months
• churned — confirmed not returning (moved cities, switched doctors, etc.)
• chronic — ongoing chronic condition management

This lets you build a "win-back" workflow: filter for status = "lapsed", send a polite message asking if they need anything, recover 10-20% as active patients again.

Tags: segment by what matters to your practice

The tags field is free-form text. Use it however you want. Common Indian clinic tags:

• By condition: "diabetes", "hypertension", "thyroid", "pcod", "infertility"
• By age group: "pediatric", "geriatric"
• By insurance: "Star Health", "ICICI Lombard", "corporate-Infosys"
• By VIP status: "vip", "founder_friends", "doctor_family"
• By engagement: "responds_to_whatsapp", "phone_only", "prefers_hindi"
• By geography: "south_delhi", "noida", "ggn"

You can search/filter patients by tag. So you can quickly pull up "all diabetic patients" or "all corporate-Infosys patients due for a checkup."

Practical workflows this enables

Workflow 1: Quarterly review

Every quarter, spend 30 minutes reviewing:

1. Top 20 patients by LTV — send them a "thank you" message
2. Patients with "lapsed" status — send win-back outreach
3. Source breakdown — see which channels are growing/shrinking
4. Tag analysis — see which patient segments are increasing

Workflow 2: Targeted health campaigns

Filter all patients with tag = "diabetes". Send them a WhatsApp about your new HbA1c testing service. 200 messages → 30 bookings.

This is impossible without proper tagging. With it, marketing becomes targeted instead of spray-and-pray.

Workflow 3: Referral program

Identify patients with LTV > ₹20,000 and tag = "happy" (you tag them manually after positive feedback). Reach out and ask if they'd refer a friend. Track which referrals come back and tag them as source = "patient_referral".

Over 12 months, you see exactly which patients drive the most referrals. Those are the relationships you nurture personally.

Workflow 4: Doctor performance (multi-doctor)

The created_by_doctor field tracks which doctor onboarded each patient. So in a 3-doctor practice, you can see:

• Average LTV per doctor
• Patient retention per doctor
• Referral rates per doctor
• Specialties where each doctor performs best

This is uncomfortable data — different doctors will have different numbers. But it's the only way to improve as a practice.

What you can't do without this

If your clinic management system only tracks visits and bills (which most do), you cannot answer:

• Should I invest ₹30K/month in Google Ads or in a referral program?
• Which 50 patients should I focus on building relationships with?
• What's my real CAC vs LTV?
• Which patient segments are growing or shrinking?
• Should I add a specialty service? Will it find audience among my existing patients?

These are the questions that decide whether your practice doubles in 3 years or stagnates. Tracking the right data makes them answerable.

Try it

DRP-OS Clinic tracks lifetime value, source, status, tags, and per-doctor attribution from the starter plan (₹1,499/month). You can start a 24-hour free trial and import your existing patient data via CSV.

WhatsApp +91 9560793054 for setup help — including a sample tagging strategy for your specialty.