Our Expertise

Antium aims to excel and become the world leader in seamless, real-time and automated Medical Asset Discovery & Management technology leveraging artificial intelligence and machine learning

We offer

Internet of Things (IoT)  and Internet of Medical Things (IoTM)

The benefits of connected health boil down to optimizing healthcare delivery, including improvements in diagnosing and treating patients, optimizing clinicians’ daily workloads via better visibility into patient needs, and improved documentation by directly connecting IoT-enabled devices and EHRs.

Improving patient care by supporting real-time healthcare delivery through telemedicine visits with patients is also included. These optimizations generally lead to improved patient care and clinician effectiveness, which translates into more patients served at lower individual costs over a period of time.

Biomedical and Clinical Engineering

All medical equipment needs to be checked to ensure it is working correctly and safe for patients and it is the role of healthcare science staff working in medical engineering to do this

It isn’t just safety checks and maintenance, though. In medical engineering, you’d also get involved with the entire equipment lifecycle, including:

  • acceptance testing of new equipment
  • introducing equipment and devices into service
  • advising on the correct use of equipment
  • addressing patient safety issues
  • safely disposing of old devices

We are specialised in medical device risk management and governance where the role will be more focused on the effective management of equipment, for example ensuring equipment is replaced in a timely fashion and that risks associated with the use of equipment are minimised.

Artificial Intelligence applications for Healthcare Technology Management

The next step in the evolutionary process [of predictive and prescriptive analytics] is bringing these techniques into a true self-service, Antium AI platform where advanced analytics can be managed, monitored, evaluated, and then deployed
by front-line staff and clinicians.

Data Science in Healthcare

The challenges we help you to solve include

  1. Data Access
  2. Alarm Fatigue
  3. Transfer the data
  4. Enable AI

The influx of data generated from ICUs and other critical care environments is a prime resource for
building machine learning algorithms and other artificial intelligence (AI) solutions. These tools can
help support clinical decision making and ease provider burden.

We deliver results in weeks, not years.

Get insights into C3.ai’s capabilities, enterprise AI best practices, and highest-value use cases.
Exec.
Briefing
2 Hours
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Technology
Assessment
2-3 Days
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Product
Trial
8-12 Weeks
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Antium Solution
Implementation in Production – First Cost Savings Achieved
3-6 Months