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Automated analysis and optimization of manual processes in hospitals, logistics or production sites

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TODE20210805001
Publicado:
23/08/2021
Caducidad:
24/08/2022
Resumen:
A young German company has developed an IT tool for the analysis and optimization of manual processes in hospitals, logistics or production sites. Wearable sensors and artificial intelligence allow for the automated monitoring and analysis of work processes. Advantages are time and cost savings and improved working conditions. Partners sought are companies from the mentioned sectors or respective service providers for commercial agreements with technical assistance or license agreements.

Details

Tittle:
Automated analysis and optimization of manual processes in hospitals, logistics or production sites
Summary:
A young German company has developed an IT tool for the analysis and optimization of manual processes in hospitals, logistics or production sites. Wearable sensors and artificial intelligence allow for the automated monitoring and analysis of work processes. Advantages are time and cost savings and improved working conditions. Partners sought are companies from the mentioned sectors or respective service providers for commercial agreements with technical assistance or license agreements.
Description:
Hospitals, logistics centres as well as production sites all depend on manual labour and require the movement of staff and various work steps. This includes unhealthy bending processes, lifting of heavy items, overhead work and long walking distances that can be exhausting and entail lasting negative effects on the health of the employees, such as musculoskeletal disorders. Eventually, high sickness and absence rates are the result if manual processes are not coordinated and ergonomically optimized. Also, such processes lead to significant costs and take up a lot of time and resources that could be used otherwise.

In a hospital, work processes involve operation logistics such as supplying the operating room with materials (e.g. using a trolley), straightening instruments, cleaning the operating room, preparing trays, storing and picking of surgical material and the pushing of beds or carts. In a logistics warehouse, this might be the handling and transport of incoming goods to storage picking and dispatch or packaging activities. In an industrial shop floor or production site, relevant processes include the movement and handling of tugger trains or the supply of spare parts and tools or the disposal of defective components during maintenance.

Up to now, most companies trying to improve their work processes collect relevant data manually - by monitoring with cameras, timer and clipboard - or simply rely on estimations. The crux of such a process is that the monitored person is well aware of it, which can cause falsified results. In addition, the manual monitoring is costly and complicated or steps are difficult to quantify due to insufficient entries in the system.

A German company has developed a solution for the anonymous and automated collection of motion data, the quantification and verification of the different work steps, their analysis and the identification of optimization potential regarding efficiency and ergonomics.

Sensors that employees can wear on their wrists and belts during their work shift collect data anonymously. These sensors can collect very fine motion data such as hand gestures or vibrations. Also, information on the surroundings like temperature or light will be determined. In addition, transport equipment can be equipped with sensors to provide even more accurate human-machine interaction data. The localization of employees and activities is done with beacons (miniature radio transmitters).

The collected data is then automatically analyzed. Activities and process steps, but also waiting times in front of elevators, loads when pushing beds or carts or exposure to temperature, can be determined. The different processes are assigned using a pattern recognition method based on deep learning. Artificial intelligence automatically recognizes the various process elements and identifies weak points.

The software platform in combination with human know-how can then use the collected data to assess ergonomics, provide a transparent visualization of all processes and suggest concrete counter measures. Users are provided with an implementation plan they can follow. As a result, process times in hospitals or companies will shorten, costs will go down, workload of employees will diminish and their physical working conditions will improve.

The German SME is looking for partners from the above mentioned three sectors for commercial agreements with technical assistance. Task to be performed in this kind of agreement is the implementation of the technology in order to make manual processes more efficient. The necessary know-how for technology transfer will be provided by the German company.

The German SME is also looking for service providers with IT expertise for these sectors for license agreements. Task to be performed in this kind of agreement is the use of the technology with own clients after the acquisition of a license.
Advantages and Innovations:
· Shortening of process times and reduction of the employees´ workload
· Cost savings through better efficiency (hidden optimization potential between 15-25 %)
· Improved working and health conditions of employees leading to greater job satisfaction
· Accurate, realistic, exhaustive and anonymous collection of genuine data
· Tailor-made action catalogues complete with implementation prioritization
· Up to 80% less effort compared to conventional monitoring and data collection
Stage of Development:
Already on the market
IPs:
Patents granted
CommeR Statunts Regarding IPR Status:
Patent covers EU countries

Partner sought

Type and Role of Partner Sought:
Partners sought for commercial agreements with technical assistance should be from the healthcare, logistics or production sector. These can be operators of hospitals, nursing homes or care centres, operators of logistics centres or warehouses or operators of production sites involving manual labour. The task to be performed is this kind of agreement the implementation of the technology to monitor manual processes and optimize them regarding their efficiency. The necessary know-how and accompanying consulting for technology transfer and interpretation of the data findings will be supplied by the German company. In the framework of commercial agrements with technical assistance, the German company can also respond to customer-specific requests to deliver tailor-made solutions, also by integrating other data sources.

Another form of cooperation could be licence agreements with service providers for the three mentioned sectors. Service providers need to have the necessary IT expertise and could use the technology for their own clients after having bought a license.

Client

Type and Size of Client:
Industry SME 11-49
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English
German

Keywords

Technology Keywords:
01003003 Artificial Intelligence (AI)
01003010 Databases, Database Management, Data Mining
01003015 Gestión de conocimiento, gestión de procesos
02003001 Process automation
09001009 Tecnología de sensores relacionada con la realización de medidas