Hospitals have always been at the center of pandemics and other health crises. This was particularly the case during the COVID-19 pandemic. Policymakers relied on the healthcare system to provide them with the indicators they needed to implement safety measures or to relax them—such as incidence values and occupancy of intensive care beds.
COVID-19 Impacts on Adoption of Artificial Intelligence
Institut der deutschen Wirtschaft (IW)
Hospitals have always been at the center of pandemics and other health crises. This was particularly the case during the COVID-19 pandemic. Policymakers relied on the healthcare system to provide them with the indicators they needed to implement safety measures or to relax them—such as incidence values and occupancy of intensive care beds.
At the same time, hospital personnel were at the forefront of caring for those infected with COVID-19, often contracting the disease themselves and risking their lives in the process. Many hospitals were running at or beyond capacity for times on end. That is why reliable medical, logistical, and technical equipment were of great importance for them during the pandemic.
One major part of the logistical infrastructure of hospitals worldwide are elevators built in hospital buildings. They are needed to transport patients, staff, and equipment between the different floors constantly. Their maintenance is therefore crucial. German elevator maker thyssenkrupp Elevators offers a cloud-based digital platform called MAX that collects data from 130,000 elevators and escalators worldwide to monitor performance and predict when maintenance is due. The data are uploaded in the cloud in real time and analyzed using AI and machine learning algorithms. This service reduces elevator downtime by as much as 50 percent and provides a safer work environment for service engineers and hospital health workers alike.
COVID-19 Impacts on Adoption of Artificial Intelligence
Institut der deutschen Wirtschaft (IW)
Künstliche Intelligenz als Ersatz für Märkte und Wettbewerb?
Der entscheidende Vorteil der dezentralen sozio-ökonomischen Koordination über Märkte liegt in der Kapazität zum Aufspüren und Verarbeiten von allokationsrelevanten Informationen, die zentralen Planern fehlt.
IW
The anti‑steering provision of Article 5 (4) of the DMA: a law and economics assessment on the business model of gatekeepers and business users
Data is a success factor for digital platforms and the core of their business model. The rationale behind this is that data allows for improving the matching process between users which creates value for the platform.
IW