Intelligent
assistance
OCR, Computer Vision, and Machine Learning (ML) help
clinicians provide accurate and accessible disease screenings by capturing
anomalies. The blockchain technologyensures a secure exchange of data for
clinical studies on drug research. IoT devices such as wearables provide
real-time health data so that doctors can suggest preventive measures or react
quickly to health problems. IoT sensors detect falls using geolocation data and
can call for help so that elderly people no longer stay on the ground after a
fall. 3D printers enable the rapid production of health products such as face
masks, which are urgently needed in pandemic times, for example, and thus
bridge supply shortages for certain medical products. Process mining helps
doctors and hospitals identify bottlenecks, inefficiencies or gaps in their processes
by analyzing the vast amounts of data and Marketingmediaweb events generated by the healthcare
ecosystem that are difficult to analyze manually.
Chatbots
for online consultation
Electronic health records contain patient-centric real-time
records that make information instantly and securely available to authorized
users. Image processing and machine learning techniques detect cardiovascular
abnormalities and cancer, can predict diseases such as Alzheimer's, and provide
surgical planning. With its cognitive supervisor system, the smart, autonomous
robot assistant understands the current state of the surgical procedure and
acts according to the surgeon's needs. Chatbots act as health assistants for
online medical consultations. The chatbot analyzes the data made available to
it and combines it with general medical knowledge in order to inform patients
about their state of health. Chatbots allow patients to ask questions about
bill payment, to ask for appointments or to replenish medication. Fitness apps
collect data to help track individuals' health-related goals like losing
weight. Telemedicine enables remote patient care by enabling the consultation
of a doctor via online video platforms. In the area of drug discovery,
pharmaceutical companies can increase the efficiency of drug discovery with
digital twins.
The digital
transformation in retail
Retail is facing unprecedented competition, fueled by brands
like Google, Amazon and Apple, who offer their customers not only personalized
products, but also a digital customer journey. In order to be able to retain up
here, the retail sector has to catch up with the technology giants. When it
comes to the necessary digital transformation, the retail sector is therefore
concentrating on three aspects. Every retailer wants near offer their customers
a positive shopping experience - a key factor in customer loyalty. Corporate
agility is an expression of fast decision-making, innovative systems and
resource allocation and enables access to digital real-time data and workflows.
The digital supply chain stands for optimal collaboration, comprehensive
process transparency and high effectiveness.
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