The Hospitals Dashboard in Google Sheets turns one admissions log into six linked tabs: 16 KPI cards, 18 charts and 15 slicers, all driven by native Google Sheets pivot tables. It ships with 500 sample admission rows across 6 hospitals, 9 departments and 9 service lines, and every pivot, slicer and formula already reaches row 1,001 — so you can paste in your own extract and the whole file recalculates without touching a single formula.
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ℹ️ What this is, plainly: a static reporting template. It is a Google Sheets file you copy into your own Drive and paste an admissions export into. It does not connect to an EHR, HIS, PAS or billing system, nothing syncs on a schedule, and it is not a medical record. It reports on operational and revenue data you already hold.
🔑 Key Features of the Hospitals Dashboard in Google Sheets
🔹 Six tabs, one data source. Overview, Departments, Patients, Finance, Search and Instructions all read the same Data sheet. There are no helper columns hidden behind the charts — every visual reads a native pivot table parked to the right of its page, so you can scroll across and inspect the exact numbers behind any chart.
🔹 15 slicers across four analysis pages. Overview filters by Month, Hospital, Department and Admission Type. Departments filters by Department, Service Line, Admission Type and Month. Patients filters by Age Group, Insurance Type, Discharge Status and Attending Doctor. Finance filters by Insurance Type, Service Line and Hospital. Slicers are per-page, so one page’s filters never disturb another’s.
🔹 16 KPI cards. Four per analysis page: Total Admissions, Total Revenue, Avg Length of Stay and Avg Satisfaction on Overview; Emergency Admissions, Surgical Revenue, Avg Procedures and Total Bed Days on Departments; Unique Patients, Avg Satisfaction, Senior Admissions and Self-Pay Revenue on Patients; Total Revenue, Avg per Admission, Revenue / Bed Day and Private Insurance on Finance.
🔹 A sidebar on every analysis page carrying a three-metric snapshot, a 12-month revenue trend, a Top 5 ranking table, a percentage-share bar list and a six-row At a Glance panel — 12-month admission volume included.
🔹 Auto-expanding to 1,000 rows. The sample file holds 500 admissions; paste rows anywhere up to row 1001 and everything updates on its own. Need more? The Apps Script file exposes a DATA_ROWS constant you raise and re-run.
📦 What’s Inside the Hospitals Dashboard in Google Sheets
Page 1: Overview — network-wide performance
Bed occupancy 80.2%, average ER wait and total bed days sit in the snapshot, above four KPI cards and five charts: Bed Occupancy Rate % (gauges for Emergency, General, ICU and Maternity), Admissions by Department, Revenue by Service Line, Monthly Admissions Trend and Top Hospitals by Revenue. The sidebar ranks the top five hospitals and breaks out the admission-type mix.

Page 2: Departments — clinical workload and case mix
Revenue per bed day, average stay and the count of live departments head the page. Charts cover Department Revenue vs Admissions, Revenue by Department and Admission Type, Monthly Bed Days, and Revenue by Attending Doctor. The sidebar ranks the top five departments by revenue and shows each one’s revenue share.

Page 3: Patients — profile, payer and experience
Six charts here: Admissions by Age Group, Admissions by Insurance Type, Stay Length vs Satisfaction, Monthly Patient Volume, Avg Satisfaction by Department and Age Group by Admission Type. The sidebar ranks the top five doctors by revenue and breaks discharge status into its five outcomes.

Page 4: Finance — revenue, payer mix and billing
Self-pay share, highest bill and revenue per procedure sit above Monthly Revenue, Distribution of Patient Billing and Revenue by Insurance Type. The sidebar ranks the top five service lines and shows payer revenue share across Private Insurance, Medicare, Medicaid and Employer Plan.

Page 5: Search — look up any admission by ID
Pick an Admission ID from a dropdown and the record card fills in all 18 reported fields: hospital, department, service line, insurance type, revenue, length of stay, procedures, attending doctor, admission type, discharge status, age group, month, satisfaction score, ER wait and ward.

Page 6: Instructions — the ten-point user guide
A numbered guide covering the pivot-and-slicer architecture, how to clear a slicer, which figures are slicer-aware and which are deliberately unfiltered, how to swap in your own data, and the Indigo / Sky colour theme so you can rebrand it.

🔐 What Data This Template Holds — and What It Doesn’t
The Data sheet has 22 columns describing an admission, not a patient chart. There are no diagnosis or procedure codes, no clinical notes, no medication lists, no dates of birth, no addresses and no contact details. Age arrives pre-banded (Child 0-12 through Senior 65+), never as a birth date.
The one person-level column is a display Patient Name, used only to produce the distinct “unique patients” count. Replace it with your own coded reference and that count still works exactly as before. Because the file is an ordinary Google Sheets document, it inherits your organisation’s own Google Workspace sharing and retention controls — we make no HIPAA, GDPR or accreditation claim on its behalf, and you should review it against your own governance before loading real data.
📊 Hospitals Dashboard in Google Sheets vs. an Excel Build vs. a Hospital BI Suite
| Feature | Hospitals Dashboard in Google Sheets | Excel hospital dashboard | Hospital BI suite (Tableau / Qlik) |
|---|---|---|---|
| Cost | $9.99 one-time | $25-60 one-time, plus Office | $70-100 / user / month |
| Platform | Browser, any OS | Desktop Excel | Desktop + server or cloud tenant |
| Setup time | Under 10 minutes ✅ | 15-30 minutes | Days to weeks with IT |
| Real-time team collaboration | Native, multi-editor ✅ | Only via OneDrive co-authoring | Yes, licensed per viewer |
| Mobile access | Google Sheets app ✅ | Limited | Vendor app |
| Customisable fields | Edit any column or pivot ✅ | Yes | Governed by a data model owner |
| Share with a link | Yes, view or edit ✅ | File attachment | Licensed seat required |
| Year-1 cost at 5 users | $9.99 total ✅ | ~$50 + licences | $4,200-6,000 |
| Live EHR / HIS connection | No — paste an extract | No — paste an extract | Yes, via connectors |
For a hospital group that wants departmental, payer and bed-day reporting from an export it already runs — without a BI licence per viewer — the Hospitals Dashboard in Google Sheets sits in the sweet spot. None of these three columns is a clinical records system.
👥 Who This Template Is For — and Who It’s Not For
✅ This template is built for:
- Hospital operations and performance managers running a monthly pack across 2-10 sites
- Finance teams who need revenue, payer mix and revenue-per-bed-day in one place
- Department heads presenting case mix, bed days and clinician contribution
- Small private hospitals and nursing homes with no BI licence and a spreadsheet export
❌ This template is NOT for:
- Anyone needing a live feed from an EHR, HIS or PAS — this reads a pasted extract, nothing more
- Clinical record keeping, coding, or anything that must satisfy a formal HIPAA or accreditation audit trail
- Datasets beyond a few thousand admissions, where a proper warehouse is the right answer
- Teams that need row-level access control — Google Sheets shares the whole file or nothing
⚙️ How to Use the Hospitals Dashboard in Google Sheets
- Open the PDF in your download and click the “Make a copy” link to put your own copy in Google Drive.
- Open the Instructions tab and read the ten-point guide — it takes two minutes.
- Export your admissions log and paste it over the sample rows on the Data sheet, keeping the 22 column headers exactly as they are.
- Swap the Patient Name column for a coded reference if you would rather not carry names in the file.
- Click any slicer on the FILTERS strip to filter that page’s charts, pivots and Top 5 panel together.
- Use the Search tab to pull a single admission record by ID when a number needs checking.
- Recolour the header strip and KPI cards to your own brand — the theme is plain cell fill.
💼 Real-World Use Cases
Priya manages performance for a three-site private hospital group. Each month she exports admissions from the billing system, pastes 700-odd rows into the Data sheet and reads the Overview page: bed occupancy by ward, admissions by department, and which site is pulling the most revenue. The board pack that used to take her two days now takes an afternoon.
Daniel runs finance at a 120-bed hospital. He lives on the Finance page — payer revenue share, revenue per bed day, and the billing distribution histogram that shows how many admissions land under $10,000. When the CFO asks why self-pay is 8.9% of revenue, the slicers answer it in front of her.
Dr. Anand chairs the clinical governance meeting. He opens the Patients page, filters to Senior (65+), and puts Avg Satisfaction by Department and Stay Length vs Satisfaction on screen — an operations view, drawn from data the hospital already reports, with no patient chart in sight.
❓ Frequently Asked Questions
Does the Hospitals Dashboard connect to my hospital’s EHR or billing system?
No. The Hospitals Dashboard in Google Sheets is a static reporting template. You paste or import an admissions extract onto its Data sheet and the pivots recalculate. There is no live connector, no scheduled sync and no API integration of any kind.
Does it store patient medical records?
No. The Data sheet holds admission-level operational and revenue fields only — no diagnoses, no procedure codes, no clinical notes, no medications, no dates of birth. The single person-level column is a display name you can replace with a coded reference without breaking anything.
Is the Hospitals Dashboard in Google Sheets HIPAA compliant?
We make no compliance claim. It is a spreadsheet file that inherits whatever controls your own Google Workspace applies. If you intend to load real data, have your privacy or compliance lead review it first — as you would any other spreadsheet.
How many admissions can it handle?
Every pivot, slicer and formula in the Hospitals Dashboard in Google Sheets already covers 1,000 data rows, and it ships with 500 sample admissions. Beyond 1,000, open the Apps Script file, raise the DATA_ROWS constant and re-run main().
Why do the KPI cards not change when I click a slicer?
That is deliberate. The KPI cards and the At a Glance lists use SUMIFS and COUNTIFS against the whole Data sheet, so they always show unfiltered totals as a stable reference. The charts, pivots and the Top 5 sidebar panel are slicer-aware and do respond.
How long does setup take?
Under ten minutes. Copy the sheet from the link in the PDF, paste your admissions export over the sample rows keeping the same 22 headers, and every chart, pivot and slicer on all four analysis pages updates on its own.
How does this compare to a hospital BI suite?
A BI suite connects live to source systems and costs $70-100 per user per month. The Hospitals Dashboard in Google Sheets is a $9.99 one-time file that reports on an export you already produce. It is the right tool when the reporting matters more than the pipeline.
👤 About the Author
Built by PK — Microsoft Certified Professional with 15+ years of Excel, Google Sheets and Power BI experience. Founder of NextGenTemplates, reaching 300K+ subscribers across YouTube channels (@PK-AnExcelExpert, @NextGenTemplates, @NeoTechNavigators). Every template is hand-built and tested before release.
🔗 Explore Related Templates
- Hospital Patient Flow Dashboard in Google Sheets — the same pivot-and-slicer architecture aimed at admission-to-discharge flow rather than network revenue.
- Hospital Operations KPI Scorecard in Google Sheets — a month-picker scorecard with traffic lights and targets; a scorecard, not an analytical dashboard.
- HealthTech Dashboard in Google Sheets — for digital-health and telehealth businesses rather than inpatient sites.
- Hospital Management System Web App — if you need data entry and role-based logins rather than reporting on an export.
Browse more in Google Sheets Dashboards or the wider Google Sheets Templates catalogue.
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📅 Last updated: September 2026


































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