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Healthcare Operations Analytics

Operational intelligence for
better patient outcomes

Connect your EMR or practice management database and instantly surface the operational and financial metrics your leadership team needs — no analyst, no waiting.

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Built for healthcare operations teams

Patient Throughput

Track daily patient volume by department, provider, and appointment type. Spot capacity issues before they become crises.

No-Show & Cancellation

Analyse no-show and late-cancellation rates by department, provider, and patient demographic to improve scheduling.

Wait Time Tracking

Monitor average and 95th percentile wait times by clinic and provider. Drive patient satisfaction scores up.

Revenue Cycle

Track collections, days in AR, denial rates, and clean claim percentages. Identify billing bottlenecks fast.

Staff Utilization

Measure provider scheduling efficiency, room utilization, and overtime patterns across your organisation.

Patient Satisfaction

Correlate HCAHPS and net promoter scores with operational metrics. Find what drives your best outcomes.

Procedure Analytics

Break down case volume, OR utilisation, and procedure duration by surgical team and facility.

Insurance & Payer Mix

Analyse reimbursement rates, denial patterns, and revenue by payer to optimise contracting decisions.

Clinical Quality Metrics

Track readmission rates, infection rates, and outcome scores. Tie quality data to operational performance.

Sample Healthcare Dashboard

Operational and financial intelligence — delivered to your team in real time.

Meridian Health System — Operations Intelligence● Live

April 2025 — Operations & Revenue Cycle

HIPAA compliant · Read-only

Patients This Month

18,421

+7.2% vs last month

Avg Wait Time

19.4 min

−2.1 min vs last month

No-Show Rate

11.8%

−1.2pp vs last month

Collections Rate

94.2%

+0.8pp vs last month

Daily Appointment Volume — Last 30 Days

Weekends shown lower — expectedApr 1Apr 8Apr 15Apr 22Apr 30

Revenue Cycle Breakdown ($M)

Charges Billed
$8.4M
Contractual Adj.
$2.1M
Gross Collections
$5.9M
Bad Debt
$0.34M
Net Revenue
$5.56M

Performance by Department

DepartmentAppts (MTD)No-Show RateAvg WaitSatisfactionStatus
Cardiology8428.2%14 min4.7On Track
Orthopedics72411.4%22 min4.5Review
Neurology6819.8%18 min4.6On Track
Oncology6124.1%11 min4.8On Track
Primary Care1,28414.2%28 min4.3Alert
Dermatology54016.8%32 min4.2Alert

AR Aging Snapshot

0–30 days
$1.82M
31–60 days
$680K
61–90 days
$340K
91–120 days
$186K
> 120 days
$94K

Provider Utilization Rate

Dr. Patel (Cardio)
94%
Dr. Chen (Ortho)
88%
Dr. Smith (Neuro)
82%
Dr. Nguyen (ONC)
91%
Dr. Jones (PC)
76%
Dr. Kim (Derm)
68%

Patient Flow — ED Disposition Sankey

30-day view: ED arrivals → disposition pathways

4,820
ED Arrivals
Discharged home2,890 (59.9%)
Admitted1,680 (34.9%)
AMA / Other250 (5.2%)
980
Med-Surg
420
ICU
280
Step-Down
Benchmark gap: ICU admission rate 8.7% vs 6.2% regional benchmark — potential $340K/mo cost-avoidance opportunity via care-step protocols.

Top DRG Margin vs CMS Benchmark

Contribution margin per discharge vs expected CMS reimbursement, by volume quintile

DRGDescriptionVolMargin/DischCMS Exp.vs Benchmark
DRG 470Major Joint Replace.312$4,820$3,900+$920
DRG 291HF & Shock w/ MCC284$-1,240$620$-1,860
DRG 392Esoph/Gastro w/o CC261$2,310$1,980+$330
DRG 065Intracranial Hem198$-3,140$-800$-2,340
DRG 194Simple Pneumonia176$890$1,100$-210
DRG 247Perc Cardiovasc154$6,200$5,400+$800

Physician RVU Productivity vs Benchmark

Work RVUs (wRVU) per FTE vs MGMA 50th/75th percentile by specialty

Patel(Cardio)
9,840(120% P50)
Chen(Ortho)
12,100(123% P50)
Smith(Neuro)
7,200(95% P50)
Nguyen(ONC)
6,800(110% P50)
Jones(PC)
5,100(106% P50)
Kim(Derm)
8,900(120% P50)
Above P75P50–P75Below P50│ P50 marker

Length of Stay vs Expected (LOS Index)

LOS Index = Actual LOS ÷ Geometric Mean LOS; index > 1.0 signals potential inefficiency

UnitVolActual LOSExpectedLOS IndexSignal
Cardiology2844.8d4.1d1.17▲ Over
Orthopedics3122.9d3d0.97✓ Efficient
Neurology1986.2d5.1d1.22▲ Over
Oncology1545.6d6d0.93✓ Efficient
General Med2614.1d3.6d1.14▲ Over
ICU4208.4d7.2d1.17▲ Over
Priority: Neurology LOS Index 1.22 — reducing to 1.0 across 198 discharges would free ~236 bed-days/month, unlocking ~$1.2M in potential throughput revenue.

Better data. Better patient care.

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FAQ

Frequently asked questions

Everything you need to know about healthcare analytics with GetInsights.

Is GetInsights HIPAA-compliant?+

GetInsights uses read-only database connections and does not store patient records or PHI. We apply encryption in transit and at rest, and we can sign a Business Associate Agreement (BAA) for covered entities. Contact us to discuss your specific compliance requirements.

Can I track appointment rates, no-shows, and scheduling metrics?+

Yes. Connect your practice management or scheduling database and GetInsights surfaces appointment volume, no-show rates by provider or department, cancellation patterns, and waitlist utilization — all without writing SQL.

Does GetInsights support revenue cycle management (RCM) analytics?+

Yes. GetInsights can track claims submitted, denial rates, days in AR, collections rate, and payer mix breakdowns from your billing database. Ask 'What's our denial rate for Medicare claims this quarter?' and get an instant answer.

How do I connect my EHR or practice management database?+

GetInsights connects to the database behind your EHR or PM system — whether that's PostgreSQL, MySQL, SQL Server, or a cloud warehouse like BigQuery or Snowflake. Our guided connector walks you through a read-only connection in under 5 minutes.

Can I segment analytics by clinic, department, or individual provider?+

Yes. Any dimension in your database — clinic location, department, provider NPI, payer, care type — becomes a filter in GetInsights. Compare performance across sites, identify outliers, and drill into individual provider metrics with one click.

What operational dashboards can healthcare teams build with GetInsights?+

Common dashboards include: daily patient volume by location, provider utilization, average visit duration, no-show trends, revenue per visit, AR aging, care gap tracking, and referral source analytics. You can also ask ad-hoc questions at any time.