Clinical engineering and hospital infrastructure teams have daily routines that directly impact the safety and quality of care, and patient care.
The departments that make up the hospital have various pieces of equipment in their infrastructure, such as:
- Medical gas network
- Cold chain
- Electricity consumption
- Water consumption and quality
- Water quality in a reverse osmosis unit
Equipment failure can compromise operations or customer service, leading to operational losses and complex legal proceedings.
While manual control can be ineffective given the hospital infrastructure, equipment and processes require monitoring and performance analysis so that failures can be identified immediately without compromising patient care. With a wide variety of parameters such as voltage, current, pressure, volume, temperature, humidity, and others, real-time measurements are necessary, since sometimes small, imperceptible changes in the work routine can have an immediate or future impact on operations.
Bridgemeter was developed to assist engineering teams in proactively and transparently monitoring equipment and process performance through customizable dashboards with adjustable alarms , generating performance reports. The solution is modular, allowing for deployment as needed, streamlining processes and optimizing resources; it can be implemented to monitor a single unit or a network of hospitals with access profiles compliant with the LGPD (Brazilian General Data Protection Law). The technology eliminates the need for dashboard monitoring, as notifications of variations are sent via the app directly to those responsible for maintenance teams.
The system also functions as a record and audit tool for operations, monitoring refrigerators, machines, gas networks, water systems, refrigeration systems, and equipment.
As an option, the solution features an equipment efficiency dashboard, very common in the industry, called OEE (Overall Equipment Effectiveness ), which evaluates Availability, Performance, and Quality through real-time indicators that show the SLA delivered by the monitored machine, identifying systems or processes that need improvement.
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