⚠  Illustrative Sample · Synthetic Data — This report previews only the form and finish of a MahViz engagement. Our live analysis and forward projections run considerably deeper than what is shown here.
MahViz Intelligence Report · Hyderabad, Telangana

How a Solo Interventional Cardiologist
Found ₹18.4L/Month in Untapped Revenue

SpecialtyInterventional Cardiology
LocationJubilee Hills, Hyderabad
Practice SizeSolo Practitioner · Private Hospital
Analysis Period12 Months (FY 2023–24)
Services UsedAll 5 MahViz Intelligence Services
0
Procedures / Year
Baseline at engagement
₹0
Missed Revenue / Month
↑ Identified by MahViz
0%
Referral Network Utilised
Of addressable GP network
0
Districts in Catchment
Illustrative catchment model
Prepared ForDr. A. Rao · Interventional Cardiology
Prepared ByMahViz Healthcare Intelligence Pvt Ltd
Report Period12 Months · FY 2023–24
ClassificationConfidential · Illustrative
Executive Summary

Across twelve months of practice data, MahViz surfaced a ₹22.4L / month revenue gap, a referral network with 45 dormant GPs, and a catchment in which the practice captures barely 2.2% of the patients it could realistically reach.

A Note on This Sample

Every figure in this report is synthetic, created solely to demonstrate the shape of a MahViz engagement — how we structure intelligence, render it legible, and translate it into decisions. Consider it a deliberately restrained preview: the depth of our actual analysis, modelling, and forward-looking projections extends well beyond what is shown here, and is built in full around each practice we partner with.

01 Service 01 · Practice Intelligence Audit 30-Day Diagnostic

Where the Practice Actually Stands

Before any growth strategy, you need a clear-eyed view of what your practice data actually says — not what you remember. We analysed 12 months of billing, procedure logs, and patient records for Dr. Arvind Rao's practice.

Monthly Procedures (FY 23–24)
Baseline performance — all procedure types
Revenue by Procedure Type
12-month aggregate · ₹ in lakhs
Payer Mix
Who is actually paying the bills
Revenue Concentration Risk
64%
of total revenue comes from just 2 procedure types — Primary PCI and Coronary Angioplasty. A single protocol change by any major insurer creates significant exposure.
Seasonal Drop Identified
−34%
Procedure volumes in May–Jun consistently drop vs. Jan–Mar peak. Referral cadence data shows this maps directly to GP summer vacation patterns in key feeder zones.
Top Revenue Month
₹21.2L
February 2024 — driven by a spike in stent placements from Nalgonda referrals post a community cardiac camp. Replicable pattern with data-backed camp planning.
02 Service 02 · Referral Intelligence Program Quarterly Referral Analysis

The Referral Gap No One Was Talking About

Dr. Rao believed he had strong referral relationships. The data told a different story — 68% of GPs within a 12 km radius had never sent a single patient. Here's what the full referral ecosystem looked like.

Top 10 Referrers by Volume (12 months)
Active referrers — patients sent to Dr. Rao
Active Referrers (sent ≥1 patient)
23 GPs
Out of 68 GPs within 12 km catchment. These 23 generate 100% of current referred volume.
Silent GPs (zero referrals)
45 GPs
These GPs are within reach but referring to competitors. MahViz identified 12 of them as "high-probability converts" based on proximity, specialisation, and hospital affiliation.
Declining Referrers (dropped >40%)
6 GPs
Six previously active referrers reduced volume significantly in Q3–Q4. Mapped to two causes: a competing cardiologist opening nearby, and one GP relocating clinic.
The Referral Revenue Funnel
From total addressable GP network → actual procedures → revenue captured vs. missed
Total GPs within 12 km catchment68 GPs
GPs who have referred at least once23 GPs (34%)
GPs who refer consistently (≥1/month)9 GPs (13%)
Revenue actually captured (FY 23–24)₹1.74 Cr
WHAT WAS LEFT BEHIND
Estimated Revenue Leakage (Silent GP Network)
₹18.4L / month  ·  ₹2.21 Cr / year
Referrer Trend: Top 5 GPs
Monthly referral volume · 12-month trajectory
Referral Quality: Procedures Generated per Referral
Not all referrals are equal — which GPs generate high-value cases
03 Service 03 · Catchment Intelligence Geography-Driven Decisions

Where Patients Come From — and Where They Don't

Patient origin data mapped to Telangana & AP districts reveals which corridors are performing, which are cold zones, and where a single cardiac camp could unlock a new referral cluster.

Camp Opportunity Dr. Rao's Practice
High density (≥80 patients)
Medium (20–79)
Low / cold zone
Camp opportunity
Primary Catchment (80% of patients)
3 Districts
Hyderabad, Medchal-Malkajgiri, and Rangareddy account for 80% of all patient volume. Travel corridor analysis shows patients rarely cross 35 km for non-emergency cardiology.
Cold Zone Alert
Nalgonda
Nalgonda shows a high concentration of potential cardiac patients but only 31 referrals. The nearest competing cardiologist is 52 km away — a corridor effectively left open.
Camp Location Recommendation
2 Sites
Nalgonda district HQ and Mahaboobnagar town. Both sit on NH-44/NH-765 corridors with good patient mobility and no active cardiology outreach in the last 18 months.
Patient Origin by District
Illustrative 12-month sample (n=365)
04 Service 04 · Population Intelligence Model Modelled Demand Estimate

How Big Is the Real Opportunity?

MahViz models the latent volume of potential cardiac patients across Dr. Rao's top five catchment districts, then sets it against how many actually reach his practice. It answers the question most specialists never get a defensible number for: how large is the real opportunity — and where is it concentrated?

District Adult Population
est.
Est. Cardiac
prevalence (modelled)
Est. Annual
Potential Patients
Cases Reaching
Dr. Rao
Market Share Revenue Gap
Hyderabad 39.4L 8.2% ~3,230 142 4.4% ₹6.2L/mo
Medchal-Malkajgiri 26.8L 7.6% ~2,040 58 2.8% ₹3.8L/mo
Rangareddy 52.3L 7.1% ~3,715 44 1.2% ₹5.1L/mo
Nalgonda 34.8L 8.7% ~3,028 31 1.0% ₹4.2L/mo
Sangareddy 28.2L 6.9% ~1,946 28 1.4% ₹3.1L/mo
TOTAL (5 Districts) 181.5L 7.7% avg ~13,959 303 2.2% ₹22.4L/mo

* All figures are synthetic and illustrative, generated by MahViz's demand model for demonstration only. Potential-patient estimates apply a modelled cardiac-intervention rate to district adult populations; revenue gap assumes ₹85,000 average realisation per intervention.

Potential Patients vs. Patients Captured
Estimated potential patients vs. those reaching the practice
Revenue Opportunity by District
Monthly missed revenue (₹ lakhs) — addressable with referral outreach
Total Addressable Monthly Revenue Gap
₹22.4L/mo
This is not theoretical. It is the gap between estimated intervention-eligible cases in Dr. Rao's five-district catchment and what his practice is actually capturing. Even closing 20% of this gap means ₹4.5L in additional monthly revenue — within 90 days of structured referral outreach.
2.2%
Current Market Share
in own catchment
05 Service 05 · Quarterly Growth Advisory Q1 FY 2024–25 Recommendations

The Next 90 Days — With Clarity

Every quarter, MahViz delivers an 18–20 slide consulting deck with prioritised actions. Here are the four top recommendations from Dr. Rao's Q1 advisory, derived directly from the five intelligence services above.

Activate the 12 High-Probability Silent GPs
MahViz identified 12 GPs within 8 km who have never referred but show strong indicators: they see hypertension & diabetes patients regularly, are not affiliated with a competing cardiology network, and are located on the same travel corridor as existing active referrers.
→ TARGET: 6 new consistent referrers in 90 days
Run One Cardiac Camp in Nalgonda District
Nalgonda shows the widest gap between potential patients and current coverage in the catchment. A single well-publicised camp in Miryalaguda or Suryapet (both on NH-65) can generate 15–25 new referrals from 4–6 local GPs who currently have no established cardiology pathway.
→ TARGET: ₹3.5L+ in referred procedures within 60 days post-camp
Re-engage 6 Declining Referrers Before Q3
Six GPs reduced referrals by over 40% in H2 FY24. Data suggests this is primarily due to a competing cardiologist who opened in Banjara Hills and is offering GP-specific WhatsApp communication. A structured re-engagement protocol — including monthly case updates — can recover 3–4 of these relationships.
→ TARGET: Recover 2 high-value referrers (each historically sends 4+/month)
Diversify Revenue Mix to Reduce Procedure Concentration
64% revenue concentration in 2 procedure types creates payer risk. Patient-mix modelling points to strong latent demand for preventive cardiology consultations as a secondary revenue stream — lower per-visit revenue but higher volume and payer diversity.
→ TARGET: Grow consultation revenue from 18% to 28% of total mix
90-Day Revenue Projection: Baseline vs. With MahViz Actions
Projected monthly revenue — conservative estimate assuming 20% referral gap capture
What This Analysis Delivered

Intelligence That Changes Decisions

This is what MahViz does for a solo specialist in 30 days — turn 12 months of practice data into decisions Dr. Rao couldn't have made without it.

Revenue gap identified
₹22.4L/mo
In 5 catchment districts, previously invisible
Referral network uncovered
45 GPs
Never referred — 12 flagged as high-conversion targets
Market share in own catchment
2.2%
Of total addressable intervention cases in 5 districts
See This For Your Practice

What Would Your Numbers Show?

Every practice has a revenue gap. Most don't know how big it is, where it is, or how to close it. MahViz makes this visible in 30 days.

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