nextOR
nextOR GmbH, based in Büren with an office in Berlin, sells nextOR Planning, a self learning program for operating room and multi resource planning in German speaking hospitals. It analyzes the parameters available in hospital systems together with past operations to predict case durations, builds the operating room schedule centrally, recalculates it live when staff are absent, emergencies arrive or a patient is canceled, and proposes a replacement case at once, with interactive dashboards, key figures and benchmarking down to the level of the procedure. The software is cloud based and connects to hospital systems through a bidirectional FHIR interface that also handles HL7.
nextOR reports more than 40 percent better precision on case duration, about 25 percent less overtime for operating room staff, more than 5 percent higher EBITDA with the same resources and more than 60 percent lower administrative planning costs. It announced an SAP partnership in March 2025 to reach hospitals in Germany, Austria and Switzerland, implements with UNITY AG and builds with NEXT Data Service as its technology partner, and takes part in two publicly funded research projects, one with Uniklinik Aachen on interoperable operating room devices and AI for planning. Marcus Goerke and Michael Ernst are managing directors.
Capability Axes
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The learned part is the planning engine: nextOR Planning learns from past operations and every parameter the hospital's systems supply to predict case durations, then uses those predictions to build and rebuild the schedule and to propose a replacement when a case drops out.
Central booking, standardized process capture, dashboards and benchmarking add value of their own around that engine.
The software proposes operating room plans automatically and recalculates them live, giving operating room managers decision support and replacing a canceled case with a new suggestion, while planners keep central control through dashboards.
How a planner accepts, edits or overrides a proposed plan is not described.
Planning is described as a self learning program that analyzes all available parameters from hospital systems and past operations, and that measures each deviation between predicted and actual duration to improve its model.
No model type, training data or version is named.
nextOR builds Planning with NEXT Data Service, an AI venture builder named as its technology partner, and partners with SAP and UNITY AG for reach and implementation.
No hosting provider or model supplier is named.
Reported results include more than 40 percent better precision on case duration, about 25 percent less overtime for operating room staff, more than 5 percent higher EBITDA at the same resources and more than 60 percent lower administrative planning costs.
The figures carry no hospital, period or method.
The software works with scheduling data drawn from hospital systems, including patient and case details needed to plan operations, in a cloud based service.
No statement covers how that patient data is held, kept or used for training.
Hospitals in German speaking Europe are the market, and the published privacy policy covers its website under the GDPR, including a processing agreement with its CRM provider.
No document describes how patient data in the planning service is protected.
The product is described as a cloud based, paperless planning solution.
No security controls, certification or outside test are published.
Planning is scheduling and resource software for operating room management and makes no device claim; it predicts durations and proposes schedules for planners rather than guiding treatment.
Clinical decisions about each patient stay with the surgical team.
Prediction accuracy is tracked continuously against actual case durations, and the company reports its precision gain as a single figure.
No results are published by procedure type, surgeon or hospital.
Every deviation between predicted and actual duration is measured and fed back into the model, and dashboards give planners live control of the schedule.
No accuracy figure with a method, warranty or remedy covers a wrong prediction.
A bidirectional FHIR interface, compatible with HL7 and other standards, connects Planning to hospital systems for case and staff data, and staff availability can be imported from rostering systems.
No hospital information system or live connection is named.
Planning runs as a cloud based service connected to hospital systems over a FHIR interface, implemented with the hospital by nextOR's team and UNITY AG.
Where the service is hosted and where patient data rests is not stated.
nextOR sells Planning as a cloud solution implemented with its own experts and with UNITY AG, and says it typically pays back within a few months, with return calculated for each hospital from its own figures.
nextOR publishes no price or contract term.
Operating rooms in hospitals in Germany, Austria and Switzerland are the setting, with tools for hospital management, operating room managers, nursing and surgeons, and benchmarking down to the procedure.
No hospital is named as a customer and results are not broken out by hospital or specialty.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | BAA Tier | Implementation | Source |
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Not published
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Cloud solution implemented per hospital; payback is calculated from each hospital's figures. No price is published. | No business associate statement; nextOR sells in German speaking Europe and publishes a GDPR website privacy policy. | Not published. Implementation runs with nextOR's experts and UNITY AG. | Vendor Published |
No price is published. nextOR says Planning typically pays back within a few months.