Fix scheduling and block rules
When it may fit: Time is reserved but not used, or turnover is slow.
Evidence needed: Block utilization by surgeon, turnover times, delays.
Trade-off: Changing block time can strain physician relationships.
Hospital Intelligence Brief
How to Investigate Underutilized Hospital Equipment
Expensive equipment that sits idle is a cost the whole hospital carries. Finding out why takes more than a utilization percentage.
1. The business problem
When equipment looks underused, is it a demand problem, a scheduling problem, or a measurement problem?
Imaging suites, operating rooms and specialty equipment carry large fixed costs. When they are used less than planned, the cost per case rises, and the instinct is to look for more volume. But low utilization has several possible causes, and the right response to each is different.
This matters because the wrong diagnosis wastes effort. Marketing to fill a room that is idle because of scheduling rules will not help, and cutting capacity that is idle because of staffing may remove something the hospital will need.
2. What the evidence can reveal
Start by defining what is being measured, because “utilization” has several meanings:
- Information gap Available time (hours a room or machine could run) versus staffed time (hours it actually could, given staffing) versus scheduled time versus used time.
- Information gap Downtime for maintenance and turnover between cases.
- Information gap Block or scheduling rules that reserve time for surgeons who do not use it.
- Calculated Capacity use at service-line level, which is a rough proxy that points to where to look.
Verified fact Public cost reports show equipment-related cost and some capacity information at an aggregate level. Room-by-room and machine-by-machine detail has to come from internal scheduling and maintenance systems.
3. Investigate the problem
The synthetic hospital’s service-line view includes a capacity-use measure, which is a proxy rather than equipment-level data. Illustrative General Surgery runs at 71.0%, down from 74.0%, with volume roughly flat (−0.6%). Obstetrics runs at 54.0%.
Calculated General Surgery is a useful example. Volume is flat but capacity use fell, which could reflect capacity being added, hours freed up, or demand shifting within the line. Its contribution margin is still healthy (31.2%), so each unused hour is a cost of carrying capacity rather than a sign of a failing service.
Hypothesis Possible causes include block time held by surgeons who do not fill it, delays in turnover, staffing limits that mean rooms cannot run at all hours, or a genuine drop in demand. Each has a different fix. The proxy shows where to look. Scheduling and maintenance data would show why.
4. Explore the interactive experience
Investigate it yourself.
Service-Line Decision Lab: a service-line dashboard with capacity use, decision paths, a scenario simulator, evidence-linked answers from APIS, and a sample executive brief, all on synthetic data.
The experience below is built on a synthetic hospital, “Demo Regional Medical Center,” with six service lines and two fiscal years of data. Nothing in it is real, so you can explore freely.
- Select General Surgery and Obstetrics in the service-line table. Compare their capacity use trend with their volume change.
- Open the “Improve” decision path for a line. What data would it need?
- Ask APIS what additional information is needed before deciding on any line.
5. Evaluate possible solutions
What to do about idle capacity depends on why it is idle. These options map to different causes.
6. What leadership should do next
Questions to answer
- How is utilization defined here?
- Is the constraint demand, staffing, scheduling or downtime?
- What does idle capacity cost per month?
- Who owns the fix?
Data to gather
- Scheduled versus used time by room and machine
- Turnover and downtime logs
- Block-time allocation and use
- Demand and referral data
Steps to take
- Agree a definition of utilization.
- Measure all four time layers for the lowest-use assets.
- Diagnose the constraint before acting.
- Track the cost of carrying idle capacity.
7. Engage Two Pillars
Explore Your Hospital’s Opportunities
Two Pillars can help hospital leadership investigate financial, operational, and strategic questions using relevant organizational data, public information, and a structured assessment process. A good first step is a capacity and utilization diagnostic for your highest-cost rooms and equipment.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- CMS, Cost Reports: www.cms.gov/data-research/statistics-trends-and-reports/cost-reports — public information on the annual cost reports that Medicare-participating hospitals file.
- Maryland Health Services Cost Review Commission: hscrc.maryland.gov — published Maryland hospital financial and utilization data.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.