MV for Anaesthesia


Automate your anaesthesia documentation with MetaVision Anaesthesia – our Anaesthesia Information Management System (AIMS).

MetaVision seamlessly captures patient data, clinical events and clinician actions. The result? Accurate, complete and actionable anaesthesia records.

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  • Fast & easy documentation

    Automatic data capture and calculations

  • Improved patient safety

    Fewer documentation & medication errors

  • Better data quality

    Complete, accurate, legible records

  • Evidence-based care

    Meet best practices and promote standardisation

  • Quality reporting

    Collect and export data for key quality initiatives

  • Expanded research opportunities

    Easily extract data for clinical studies



Throughout the anaesthesia process and beyond

Facilitate pre-op documentation and assessment

MetaVision streamlines and digitises the pre-op process for both clinicians and patients, ensuring that data is captured correctly and that scheduled surgeries proceed as planned. Pre-op data can later be accessed on the day of surgery in the OR. Complete and accurate pre-op documentation helps optimise reimbursement.

Track patient condition

MetaVision automatically captures system and device data every minute, and creates a comprehensive case summary populated with actionable information. The system sends smart notifications when specific changes in a patient’s condition are detected, enabling timely clinical responses.

Record medications and events

A touch screen and dynamic tool bars help clinicians enter medication and fluids with a single touch or by scanning barcoded syringes, which are then displayed on the screen for review.

Plan transfer to Post Anaesthesia Care Unit

Running infusions can be reviewed and documented, pre-defined sets of recovery orders can be easily recorded in one click, and treatment protocols can be registered via the system for reference in the PACU.


Track patients during recovery

Healthcare professionals in the PACU can access patients’ entire anaesthesia record, and review and validate medications ordered by anaesthesiologists. The system facilitates post-op pain assessment, enabling clinicians to determine at a glance whether or not pain medications are effective. Smart notifications can promote adherence to treatment protocols, suggest treatment, and detect early signs of side effects of pain medication. Patient discharge is easy with MetaVision: Forms, including clinical scores, are automatically populated with patient information, helping clinicians decide when a patient is ready to leave the unit.

  • Facilitate pre-op documentation and assessment
  • Track patient condition
  • Record medications and events
  • Plan transfer to Post Anaesthesia Care Unit
  • Track patients during recovery
  • Pre-op
  • Intra-op
  • Post-op

Maximize the value of your data

Protocol-based alerts at the point of care

Enhance patient care with quality and safety checks. Get notifications about changes in patient status and risk for conditions such as PONV and malignant hyperthermia.

Improve protocol compliance with reminders about quality-related actions such as antibiotic re-administration due to prolonged surgery.


One continuous record throughout the hospital

Get a single patient record across the continuum of care: ICUs, pre-op units, ORs, recovery units and general floors. One patient, one flow sheet – easily access all the necessary information throughout the entire hospital stay. Data continuity means fewer errors during transfer, smoother handovers, and carrying over of orders from one department to the next.

Collect and export data for key quality indicators

Decrease time spent on data collection. Identify and track departmental performance indicators. Easily comply with regulatory reporting requirements.

Rich data resource for clinical studies

Easily define and run sophisticated queries on the entire MetaVision patient database. Identify suitable candidates for clinical trials. Extract data for advanced research studies on topics like clinical trends, cost analysis and quality measurements.

MetaVision supports your optimum workflow

We can customise the system to reflect the way you work. From drug ingredients to procedure-specific layouts – system configuration is fast and easy. Need to make a change for the whole unit? Just for your workflow? Easily incorporate new processes 

All the data all the time

Our platform integrates seamlessly with all major Hospital Information Systems (HIS): ADT, Labs, CPOE, drug cabinets, archive, billing, scheduling, PACS, LDAP, coding and more.

We have drivers for over 250 medical devices, with the option of developing additional drivers available upon request.

  • Monitors
  • Ventilators
  • Anaesthesia Machines
  • Central Stations
  • Cardiac Output
  • Blood Gas Machines
  • Dialysis Machines
  • Heart Lung Machines
  • ECG
  • Haemoglobin Counters
  • Incubators
  • BIS
  • Syringe Pumps
  • Balloon Pumps
  • Volumetric Pumps
  • Oximeters

We support standard medical protocols

  • HL7 Messaging standard
  • HL7 Clinical Document Architecture (CDA)
  • HL7 Clinical Context Object Workgroup (CCOW)
  • IHE Device Enterprise Communication
  • HL7 Fast Healthcare Interoperability Resources (FHIR)


Get a specialised Clinical Information System for perfusion. Easily document critical events, identify aberrations and institute best practices. 

Learn more


  • Massachusetts General Hospital uses MetaVision to develop an intraoperative predictive model for unplanned postoperative intensive care use

    Anesthesiology | June 2013 Read More
  • The Johns Hopkins Hospital study shows that MetaVision may be used to optimise the process of preoperative blood ordering

    Anesthesiology | May 2013 Read More
  • Barnes-Jewish Hospital meets Joint Commission requirements for handoffs with tool embedded in MetaVision

    International Anesthesiology Clinics | January 2013 Read More
  • MetaVision delivers complete anesthesia records for 99.6% cases at Hadassah-Hebrew University Medical Center, Israel

    International Journal of Medical Informatics | January 2012 Read More
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