300,000+
Patients cared for on zMed
Observed Cumulative distinct patient records across all zMed deployments, including the platform generations that preceded the current one. Counted from deployment system records, not estimated.
Appears in: Homepage proof strip, case studies
100,000+
Surgeries documented
Observed Cumulative operative cases documented through zMed OR scheduling and anaesthesia charting across deployments.
Appears in: Homepage proof strip
60–85%
Reduction in ICU alarm load
Observed Measured per unit as alarms-per-bed-day before vs. after the three-level alarm-management rollout (device thresholds, smart suppression, escalation routing). The range reflects different unit baselines — units that begin with the noisiest defaults see the larger reduction. Not a guarantee for any specific unit.
Appears in: ICU product page, case studies, outcomes band
40–60%
Reduction in nursing charting time
Observed Before/after sampling of time spent on vitals transcription and flowsheet completion in deployed ICUs, compared against the same unit's paper or re-keyed baseline. Driven primarily by automated device capture and charting by exception. Range varies with prior workflow.
Appears in: Value calculator, persona pages
1,400+
Chartable data points per ICU patient per day
Observed Median device-data density observed for a ventilated ICU patient (monitor vitals, ventilator parameters, infusion rates) at deployment sites, before any manual charting is added.
Appears in: ICU product page, insights articles
12
Clinical scores recalculated continuously
Catalogue Count of literature-standard scores the platform computes from live chart data (including SOFA, qSOFA, NEWS2, MEWS, APACHE II, SAPS, GCS, Braden, Morse). Countable product capability.
Appears in: ICU & CDS product pages, case studies
200+
Device models supported
Catalogue Count of distinct monitor, ventilator, anaesthesia-machine and infusion-pump models in the maintained supported-devices catalogue across all leading manufacturers. The detailed list is shared during evaluation.
Appears in: Device-integration page, USA & Europe pages
4–6h
Earlier surfacing of deterioration risk
Modeled Modeled from continuous score recalculation cadence versus typical round-based reassessment intervals, consistent with published early-warning literature. Advisory decision support — clinical judgement remains with the treating team.
Appears in: Outcomes band, CDS product page
30–50%
Reduction in physician documentation time
Modeled Modeled from chart-drafted notes, precomputed scores and auto-assembled rounding views replacing manual note construction, consistent with the automated-documentation literature for anaesthesia and critical-care records. Range is deliberately conservative; your unit's figure depends on current documentation workflow.
Appears in: Value calculator
Minutes per review
Physician review time returned by decision support
Modeled Modeled as the per-patient minutes a physician no longer spends assembling trends and computing scores by hand before each review — the chart presents them precomputed with their basis. Capacity gain is expressed against your own baseline review time; advisory decision support only, clinical judgement stays with the physician.
Appears in: Value calculator, CDS product page
0–10%
ICU length-of-stay reduction band
Modeled Modeled band, defaulting to the conservative middle. Continuous surveillance, earlier deterioration response and tighter protocol adherence are associated with shorter ICU stays in the published tele-ICU and CIS literature; actual effect varies widely by case mix and baseline practice. Bed-day value uses your own cost figure. Never a guarantee.
Appears in: Value calculator
Minutes per visit
ER triage and disposition time reduction
Modeled Modeled from structured triage capture with acuity banding (triage minutes) and chart-ahead ambulance handoff plus in-chart results visibility (disposition minutes), measured in deployments as door-to-care clock improvements. Defaults are conservative single-digit minutes; your figures depend on current ER workflow.
Appears in: Value calculator, ER product page
Minutes per case
Anaesthesia documentation time returned per case
Modeled Modeled from automated intra-operative record capture (device-driven minute-by-minute values, drug and event timeline) replacing manual anaesthesia record-keeping, consistent with published AIMS time studies.
Appears in: Value calculator, OR product page
Hours per month
Reporting and audit-pack preparation time reduced
Modeled Modeled from registers, quality indicators and audit evidence being generated as queries over the canonical record instead of compiled by hand each cycle. Default reduction is 50% of your stated monthly reporting hours; ranges vary with current reporting burden.
Appears in: Value calculator, audit-readiness sections
14–18 months
Typical payback period
Modeled Modeled per deployment during evaluation, combining observed charting-time reductions with the customer's own staffing costs, bed counts and quotation. The public calculator computes only the value of returned nursing time; payback is worked out with you. Modeled estimates, not guarantees.
Appears in: Value calculator, persona pages
Weeks
Kickoff to first live bed
Observed Elapsed time from project kickoff to the first bed charting live, taken from deployment project records. Larger multi-site rollouts phase beyond this.
Appears in: Outcomes band, case studies, deployment page
Why ranges, not single numbers.
Hospitals start from different baselines — a unit already charting electronically sees a smaller
charting-time reduction than one transcribing from paper. We publish the observed range rather than
the best case.
Want the detail behind a number?
During evaluation we share the measurement notes for any figure on this page, mapped to deployments
comparable to yours. Book a working session
or estimate your own economics with the hospital value calculator.
Methodology last reviewed: June 2026.