Procurement management in hospitals and clinics is often subject to the random principles.
Hospitals often lack an ongoing inventory. Moreover, since seasonal increases in workload, e.g., due to flu outbreaks or increased risk of accidents in winter, are seldom taken into account, orders and deliveries are made that simply miss the actual need.
While we have a highly efficient and recognized healthcare system, there is an epidemic data emergency almost everywhere with regard to the use of efficient data processing. With the PAIRS platform now under development, it will be possible to implement “healthy” planning and ordering management in the future.
With the implementation of a system for automated inventory control and with the establishment of an early warning system for anomalies, epidemics or recurring waves of disease, etc., supply and demand planning can be brought into being in line with requirements. In addition, PAIRS offers more cost-effective purchasing on a specially set up data marketplace, e.g. by enabling composite orders for higher purchasing volumes.
The PAIRS platform enables early detection and crisis prevention from internal hospital data, i.e. patient and laboratory data. From these, PAIRS can be used to gain overarching insights — especially when it comes to accumulating abnormalities or anomalies. With the combination of AI and human intelligence, patterns can be identified from such data and early crisis prevention can be initiated.
Since this is highly sensitive data, the release of which is strictly prohibited by the General Data Protection Regulation (GDPR), it requires the use of a system that allows access without violating the GDPR. The architecture of the PAIRS platform, based on emerging standards in these areas, such as IDSA and GAIA‑X, offers the guarantee of data sovereignty and data privacy.
In addition, the use of state-of-the-art technologies such as Federated Learning or the patent-pending Trusted Data Hub is a privacy-preserving multi-party computing solution that ensures data sovereignty and security for all parties involved. This enables even sensitive data to be used without exposing the respective raw data.
This solution outlined here is able to detect patterns in noticeable anomalies, regardless of official timelines and hospital boundaries, to provide early detection and crisis preparedness.
Benefit from active project participation with many advantages
The joint project PAIRS is funded as an AI lighthouse project within the framework of the “Innovation Competition Artificial Intelligence” by the Federal Ministry of Economics and Climate Protection (BMWK).
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