Infection Control with
MONI
Moni is a Comprehensive Surveillance Tool for Identification, Monitoring, and Reporting of Healthcare-Associated Infections.
INTENSIVE CARE UNITS
Be aware of every healthcare-associated infection early on. Observe HAI severity and trends for every patient in the Moni cockpit view at your desk or bedside.
HOSPITAL HYGIENE
Have the complete overview on all ICUs. Monitor trends and developments. Create reports based on your selected criteria.
QUALITY MANAGEMENT
Identify, document, and count every healthcare-associated infection that occurrs in your ICUs with minimal personnel expenditure.
BENCHMARKING
Get a clear picture on your hospital’s healthcare-associated infection occurrence. Use Moni to create HAI reports for all the different networks and agencies.
RESEARCH
Moni is a great resource for clinical HAI studies. Use it to compare historical infection rates and criteria to today’s, best practice.
PATIENT SAFETY
By using Moni for HAI detection and for inter-hospital comparison of HAI rates and countermeasures, important steps are taken to prevent these often lethal infections.
Spot those HAIs at a glance.
Infection severity is displayed color-coded and fuzzyfied to include borderline cases.
How does it work?
Moni is an intelligent tool for detection and surveillance of healthcare-associated infections (HAIs) in intensive care medicine. It is linked with the medical documentation systems of a healthcare institution and automatically imports electronic clinical and laboratory raw data to process it into surveillance information.
Moni thereby allows to identify and monitor healthcare-associated infections without the need for extra data entry by medical or surveillance staff. Due to the integration of fuzzy concepts, Moni also captures those incipient or boderline cases that are normally at a risk of not being recognized.
Key Benefits
Patients in ICUs
In your comprehensive patient and department list, patients with HAIs are color-coded according to infection severity.
With just one click, the patient’s hospital stay is displayed with detailed daily information originating from the intensive care information system and processed and interpreted by Moni.
A Patient’s Hospital Stay
In this list of patient days, daily updates on each patient’s laboratory results, clinical symptoms, interventions, medication, and more can be found.
HAI occurrence is color-labeled prominently and includes the degree of compatibility (as percentage) with the underlying HAI definition.
Detailed Explanation
For every piece of information, a detailed explanation can be accessed by clicking on the item.
In several layers, every calculated and/or displayed parameter can be traced back and understood, the bottom layer often being laboratory test results or monitored vital signs.
This reasoning system provides full transparency about the indicated HAIs.
Graphical Display
Get a graphical overview for each ward including all the patients in your selected time period. The chart shows all patients days and highlights days with HAIs.
Click on any patient day in this chart to obtain the corresponding information. Show or hide this element as you wish.
Moni Surveillance Cockpit with Units, Patients, Infections, and Explanation
QM and benchmarking made easy with Moni’s user-defined reports.
Moni Reporting
The reports generated in Moni provide statistics on HAI occurrence for your chosen time period and units. Admission and hospital stay information as well as statistics on device use are also included. The DoC setting is adjustable. Choose between PDF or CSV (for further data processing) format.
Use these HAI Reports to facilitate the exchange of benchmarking data. Moni’s Reporting feature can also be used for internal hospital quality measures, scientific studies, and more.
Moni Reporting
The reports generated in Moni provide statistics on HAI occurrence for your chosen time period and units. Admission and hospital stay information as well as statistics on device use are also included. The DoC setting is adjustable. Choose between PDF or CSV (for further data processing) format.
Use these HAI Reports to facilitate the exchange of benchmarking data. Moni‘s Reporting feature can also be used for internal hospital quality measures, scientific studies, and more.
Find out the details...
Following the specific interests of our users (i.e., infection control personnel, clinicians, study personnel), Moni can be applied for exchanging benchmarking data with the German NEO-KISS network (German National Center for Nosocomial Infections), the international Vermont-Oxford Network, the ECDC-affiliated Austrian Surveillance Network (ANISS Surveillance), the German counterpart KISS (German National Center for Nosocomial Infections), and the Austrian branch (AUQIP) of the United-States based International Quality Indicator Project (IQIP).
Moni integrates fuzzy concepts to include incipient as well as boderline HAIs. The severity of the infection is modeled by displaying the degree of compatibility (DoC) with the relevant HAI criterion as a percentage (e.g., 70% DoC) and assigning a color, intesifying with increasing severity (from yellow to dark orange). Identifying incipient and borderline cases in particular is of utmost importance. Compared to unambigous HAI cases, these patients are at a higher risk as they may not get timely treatment, resulting in severe consequences.
Moni receives the administrative and relevant clinical data from the ICUs intensive care information system and the microbiological data from the microbiology department’s laboratory information system. Data import is flexible: daily or in smaller time periods, as batch transfer or via communication server. Moni’s user interface can be accessed via any browser or integrated in the intensive care information system.
Moni can work with pathogen thesauri provided by the microbiology department or supports mapping services for building new ones. The Moni knowledge bases were carefully built by infection control and clinical experts. Two different knowledge bases are available: for ICUs with adult patients and for NICUs with neonatal patients.
Testimonials
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