PACS/IT/AI

For radiologists it is difficult to appreciate all that is visible. When they are looking for one abnormality they can completely miss another. Researchers call this phenomenon “inattentional blindness.”

Recent breakthroughs in artificial intelligence (AI) and machine learning are enabling doctors to see and also predict previously unidentified patterns within medical and biological data that can inform individualized disease prevention and care. It can also be used for biomedical discovery.

AI and machine learning algorithms will need to be monitored and the risk of “drift” must be acknowledged to promote trust and confidence that 10×10 will equal 100! 

Useful, adaptive technology, innovative change management processes, value added in stream workflow will lead to a breakdown of the current antiquated power structures and unleash an AI imaging revolution.

The U.S. federal government spent $35 billion to create electronic medical records (EMR) and digital information for coordination of care and payment. Admissions, discharge and transfer (ADT) are the three statuses within the health care EMR.

The most used form of comprehensive systematic analysis among Joint Commission-accredited organizations is root cause analysis, a process for identifying variation in performance, including the occurrence or possible occurrence.

Considering the growing role that AI plays in organizations’ business processes, in the development of products and in the products themselves, the lack of diversity in AI and the invisibility of people of color will grow into a cascade of crises.

I think the use of simple direct communication via SMS messaging can help address burnout and keep our staff whole during this stressful time.

Accepting change in health care is not easy. To understand the health care of tomorrow we must teach our doctors and nurses to trust the information they are using to make decisions.

An AI-powered stethoscope at one’s home could give a peace of mind to parents. In the long run it could also save time for doctors and money for hospitals.