Siemens Healthineers

Digitalization of data in one centralized platform enables providers to deliver high-quality patient care.

Getting relevant, timely data to patients enables them to proactively manage their health.

High-quality patient care relies on the care team getting the right data in real time.

Smart data integration can make a major contribution and help to increase the quality of decision-making, especially in healthcare where clinical decision-makers face multiple barriers and challenges along the patient pathway.

AI-powered clinical decision support enables clinicians in improving quality of care by reducing unwarranted variations.

The demand for radiology imaging is increasing, resulting in patients waiting longer for their radiology procedures to be reported. Siemens Healthineers has responded to this by releasing the AI-powered post-processing and reporting solution, AI-Rad Companion.

Rahma Samow, senior VP of marketing and sales for Siemens Healthineers, says AI-enabled decision making addresses critical data pain points along the patient's pathway.

COVID-19 has given providers and workforce the self-confidence to use telehealth, but its further sustainable adoption requires tackling culture-related challenges. During the HIMSS Virtual Dialogue supported by Siemens Healthineers, experts delivered an update on digital health maturity in Europe.

Pairing telehealth and clinical decision support could be a true game-changer, enabling patients and clinicians to make decisions together along the care continuum of complex diseases.

With the right information in hand, tomorrow’s healthcare providers will have the ability to make more intelligent, data-driven decisions about care, improving patient outcomes and reducing healthcare costs in the process.