Patient Intelligence
Understand the patient relationship.
Intelligence · Healthcare (MIS)
Turn hospital data into intelligence
for every decision.
Bring patient, operational, financial, clinical and growth data together to understand what is happening across your hospital — and what needs attention next.
Healthcare Intelligence
All locations
Hospital overview · this month
- Patient retention78.4%4.2%
- OPD footfall32,84012.4%
- Bed occupancy82.4%0.4%
- Revenue₹4.8Cr11%
- 3Insights
- 2Attention areas
- 4Positive trends
Updated today · 09:42
Every figure on this page is an illustrative demo value, not a claim about any hospital's performance. Connected to a hospital's own systems, the interface uses that hospital's configured definitions, targets, reporting periods, permissions and source data.
One layer
One view of the hospital.
Hospitals generate information across departments, systems, channels and teams. Healthcare Intelligence brings the relevant signals together so leadership can read the hospital as a connected system.
- Patient
- Operations
- Finance
- Marketing
- Clinical
MeloHealth
Healthcare IntelligenceOutput
Insights
Outcome
Decisions
Connect the signals that matter and see the bigger picture without moving between disconnected reports and systems.
Three layers
From patient signals to hospital performance.
Three connected intelligence areas, each with its own page. This one is where they meet.
Management view
See what changed. See where. Know what needs attention.
Management should not have to interpret thousands of raw data points to find the three that moved.
Executive overview
All locations
- Patient retention78.4%4.2%
- OPD footfall32,84012.4%
- Bed occupancy82.4%0.4%
- Revenue₹4.8 Cr11%
- Discharge TAT3.2 hrs18%
- OT utilisation76%0.4%
OPD footfall · 6 months
Areas requiring attention
- Discharge TATAbove the configured target18%
- Website conversionTwo locations8%
- Lab TATImprovement11%
Patient retention · 7 months
72.1% → 78.4% since January.
- Patient retention75.3%1.8%
- OPD footfall29,2104.7%
- Bed occupancy82.1%0.2%
- Revenue₹4.3 Cr6%
- Discharge TAT2.7 hrs4%
- OT utilisation76%0.1%
Last month was the last period in which every measure sat inside its configured target.
Areas requiring attention
- All measuresWithin configured targetsClear
- Patient retention69.8%8.6%
- OPD footfall24,12036.1%
- Bed occupancy74.6%7.8%
- Revenue₹3.2 Cr50%
- Discharge TAT3.6 hrs11%
- OT utilisation68%8%
Against the same month a year ago, every measure has moved the right way — including discharge TAT, which is above its target this month but below where it was last June.
Areas requiring attention
- Year on yearSix of six measures improvedImproved
Drill-down
Start at the hospital level. Drill down to the detail that matters.
Move from the executive picture to the operational detail without losing context — and without leaving the view.
- Revenue₹13.0Cr9%
- OPD footfall87,40010.2%
- Bed occupancy79.1%1.4%
- Patient retention77.1%3.1%
- Revenue₹4.8Cr11%
- OPD footfall32,84012.4%
- Bed occupancy82.4%0.4%
- Patient retention78.4%4.2%
- Revenue₹82L14%
- OPD footfall4,2809.8%
- New patient ratio38%2.4%
- Repeat visit rate46%3.6%
- Consultations · daily426%
- Revenue₹18L12%
- New patient ratio34%0.6%
- Repeat visit rate52%4.1%
Multi-location
See every location. Compare performance from one place.
| Location | OPD footfall | Bed occupancy | Revenue | Discharge TAT |
|---|---|---|---|---|
| Hyderabad | 32,840 | 82.4% | ₹4.8 Cr | 3.2 hrs |
| Vijayawada | 21,160 | 76.2% | ₹3.1 Cr | 2.7 hrs |
| Bengaluru | 18,420 | 84.1% | ₹2.8 Cr | 3.6 hrs |
| Chennai | 14,980 | 71.3% | ₹2.2 Cr | 2.9 hrs |
- Hyderabad32,840Bed occupancy 82.4% · discharge TAT above target
- Vijayawada21,160Bed occupancy 76.2% · all measures within target
- Bengaluru18,420Bed occupancy 84.1% · discharge TAT above target
- Chennai14,980Bed occupancy 71.3% · capacity available
Targets
Know whether performance is on track.
A number means more against a target. These are the hospital's own configured targets, goals or benchmarks — not a universal healthcare standard, because for most of these there isn't one.
OPD footfall
Target30,000
Actual32,840
Discharge TAT
Target2.5 hrs
Actual3.2 hrs
OT utilisation
Target75%
Actual76%
Patient retention
Target75%
Actual78.4%
Data to insight
Don't just show the number. Show what changed.
A figure on its own is reporting. A figure with its reason attached is intelligence.
Discharge TAT
3.2hrs 18%
Why?
The increase is concentrated between 2 PM and 6 PM, across three departments.
Patient retention
78.4% 4.2%
Why?
Repeat visits rose among patients who completed their scheduled follow-ups.
Revenue
₹4.8Cr 11%
Why?
Growth driven primarily by Cardiology and Orthopaedics.
Healthcare Intelligence turns raw hospital data into context.
AI intelligence
Let AI find the patterns hidden inside hospital data.
AI helps identify relationships, trends and patterns across connected hospital data and surfaces them for teams and management. It does not independently make clinical decisions.
Input
Connected hospital data
AI
Detects the pattern
Output
Insight and recommendation
Next
Configured action
AI insight
OPD footfall increased 16%, but appointment conversion from website traffic decreased 8%. The change is concentrated in two locations.
Explore insightAI insight
Bed occupancy has stayed above 85% for six consecutive days, and average discharge TAT rose over the same period.
InvestigateManagement summary
Start every review with the important changes.
Hospital activity increased this month, driven by higher OPD footfall and Cardiology volumes.
Bed occupancy remained stable. Discharge TAT increased and requires operational review — the only measure outside its configured target.
- 3Key changes
- 2Attention areas
- 4Positive trends
Connected data
Bring intelligence together from the systems you already use.
Connect the systems and channels that hold your hospital's patient, operational, financial and engagement data, and bring the relevant signals into one intelligence layer.
- HIMS / HIS
- ERP
- CRM
- LIS
- RIS
- Pharmacy
- Billing
- Appointments
- Website
- APIs
- Webhooks
MeloHealth
Healthcare IntelligenceThese are categories of system, not a list of native connectors. A hospital's systems are connected through supported integrations, APIs, webhooks and configured connections, and which data a given system can provide depends on what it exposes. The Integration Hub is where that is set up.
Reporting
Turn intelligence into reports automatically.
Management should not need someone to prepare the same report by hand every week.
Report
Hospital review
Recipients
- Management team
- Department heads
- Leadership
Daily hospital briefDelivered 07:30
- OPD footfall
- 1,284 12.4%
- Bed occupancy rate
- 82.4% 2.2%
- Discharge TAT
- 3.2 hrs 18%
- Revenue · day
- ₹17.4 L 8%
One area requires attention today.
1 signalWeekly hospital reviewDelivered Monday 07:30
- Patient retention
- 77.9% 2.1%
- OPD footfall
- 7,910 9.2%
- Bed occupancy rate
- 81.8% 1.6%
- Revenue
- ₹1.1 Cr 7%
- Discharge TAT
- 3.1 hrs 14%
Key change: discharge TAT rose through the second half of the week.
1 signalMonthly hospital reviewDelivered 1st, 07:30
- Patient · retention
- 78.4% 4.2%
- Operations · bed occupancy
- 82.4% 0.4%
- Operations · discharge TAT
- 3.2 hrs 18%
- Business · revenue
- ₹4.8 Cr 11%
- Growth · new patient ratio
- 36% 3.2%
Three areas require attention. Discharge TAT is the only measure outside its configured target.
3 areasAutomate the reporting layer so the right people receive the right intelligence at the right frequency.
To action
From intelligence to the next decision.
Data
Discharge TAT rising
Intelligence
Afternoon bottleneck
Decision
Management reviews it
Workflow
Assigned to operations
Action
The team acts
FAQ
Frequently asked questions
What is Healthcare Intelligence (MIS)?
Healthcare Intelligence is a connected intelligence layer that helps hospitals understand patient, operational, financial, clinical and growth data through analytics, trends, reports and insights.
What does MIS mean in a hospital?
MIS generally refers to a Management Information System — a system used to organise and present information that supports management, operational monitoring and decision-making.
What can hospitals monitor?
Depending on connected systems and available data, hospitals can monitor patient metrics, operational KPIs, financial performance, service-line performance, marketing performance and selected clinical or quality indicators.
What is the difference between Healthcare Intelligence and a traditional MIS?
A traditional MIS may primarily focus on reporting and presenting information. Healthcare Intelligence can combine reporting with connected data, trends, comparisons, AI-assisted insights and configured workflows.
Can management drill down into the data?
Yes. The experience can be structured so users move from hospital or group-level information into location, department, specialty and other relevant levels, depending on available data and permissions.
Can multi-location hospitals compare locations?
Yes. Where data is available for multiple locations, management can compare relevant operational, patient and business metrics across locations.
Can hospitals compare targets and actual performance?
Yes. Configured targets or benchmarks can be compared with actual performance where the required data is available.
Can hospitals compare different time periods?
Yes. Views can compare periods such as the current month, the previous month, the same period in the previous year or a configured custom period.
Can AI analyse hospital data?
AI can help identify patterns, changes and relationships across connected data and surface configured insights for users.
Does the AI make clinical decisions?
No. The Healthcare Intelligence layer is an intelligence and decision-support capability. It does not independently make clinical decisions.
Can management receive automated reports?
Yes. Reports can be configured around selected intelligence areas and scheduled for appropriate teams or management.
Can MeloHealth connect with HIMS and other hospital systems?
MeloHealth can work with supported integrations, APIs, webhooks and configured connections to bring relevant information from connected systems into the intelligence layer.