Notícias e Histórias

Zwanger-Pesiri, NY's largest radiology What lessons can be learned from their example?

A three-part strategy can be the solution to reduce negative consequences for healthcare professionals, patient care, patient experience and outcomes.

How to manage the COVID-19 pandemic? Watch the recording to learn more on the innovative measures Charité Berlin has taken.

How to control the COVID-19 pandemic? Watch the recording and learn more on the lessons from China and the role of radiology.

How can we respond to the COVID-19 pandemic? Watch the recording on the exchange between Europe and Asia.

The Martini-Klinik - global leader for prostate surgery. What lessons can be learned about optimizing clinical operations?

The age of precision medicine holds the promise of accurate diagnoses, personalized therapies, and fewer treatment errors. While these goals are achievable, obstacles still remain to be cleared in many places.

In an increasingly complex healthcare system, ‘going it alone’ is an obsolete approach. Partnership models create new opportunities at all levels and allow hospitals to keep innovating even under difficult circumstances.

Aravind Srinivasan, MD, explains how Aravind Eye Care System combines robust business discipline with deep compassion.

How will we experience precision medicine in the future? John Halamka gives an outlook on a new 360° understanding of patients.

Explore in this Insights series paper what manufacturing and retailing can teach healthcare and how to create greater value by increasing standardization and personalization.

Find out how Emily Sedgwick, MD, and her team significantly improved the patient experience at Houston´s Baylor Clinic.

Personalized medicine, big data, and enhanced communication between disciplines all contribute to a more comprehensive picture of the patient. These trends will have far reaching consequences for patients, doctors, and clinical work, says Professor Rossa Chiu, one of the world’s foremost experts on plasma-based diagnostic research.

Across all medical disciplines, artificial intelligence and machine learning will transform medicine beyond most people’s imagination. Algorithms that help evaluate radiological images are just the beginning. AI could become an indispensable tool in all branches of medicine.