At HIMSS 2019, Siemens Healthineers demonstrates how healthcare providers can benefit from digitalization

At the 2019 Healthcare Information and Management Systems Society’s Global Conference & Exhibition, Feb. 11 – 15 in Orlando, Siemens Healthineers will demonstrate how healthcare providers can already benefit from digitalization, particularly in the form of artificial intelligence (AI). In addition to its greater digital services portfolio, Siemens Healthineers will showcase two AI-based applications, the AI-Pathway Companion[1] and the AI-Rad Companion.[2]

Siemens Healthineers will also present various digital solutions that have the potential to both help improve patient care and help reduce costs. These include several IT tools for laboratory diagnostics, as well as the syngo Virtual Cockpit,[3] a solution that enables medical professionals to connect remotely to scanner workplaces to assist personnel at a different location.

“Our digital services portfolio exhibits how healthcare providers can already benefit from the digitalization of departments, institutions, and even entire health systems,” says David Pacitti, President and Head of the Americas, Siemens Healthineers. “Siemens Healthineers enables our customers to leverage artificial intelligence to transform care delivery, enhance precision medicine, and improve the patient experience.”

Commitment to research and development, particularly in the field of artificial intelligence, results in the Siemens Healthineers innovations to be shown at HIMSS 2019. With over 500 patents in the field of machine learning, and over 40 AI-based applications, Siemens Healthineers is a leader in the deployment of artificial intelligence in imaging and diagnostics. For example, Siemens Healthineers currently investigates AI-powered Digital Twin technology,5 which aims to enable the simulation of individual organ physiology to potentially better understand patient health and predict changes and therapy outcomes.

Detailed information on the latest AI and digital solutions

The AI-Pathway Companion1 will be a clinical decision support system based on clinical guideline data imported by artificial intelligence that can aid physicians in making diagnostic and therapeutic decisions along the clinical pathway. While numerous applications in the healthcare market make the workflows of individual clinical or administrative departments more efficient, the AI-Pathway Companion is designed to help optimize the processes along clinical pathways and thus support personalized as well as standardized patient management. The design goal of the AI-Pathway Companion is to provide physicians in multi-disciplinary disease boards with the clinical status of each patient, based on data integration and artificial intelligence, and to help make recommendations for next steps to accelerate diagnostic and treatment decisions.

The AI-Rad Companion Chest CT2 will be the first intelligent software assistant from Siemens Healthineers for radiology – and the first application of the company’s new AI-Rad Companion platform. The AI-Rad Companion Chest CT is designed to identify anatomies and potentially disease-relevant changes, differentiate between various structures and highlight them individually, and mark and measure potential abnormalities. This applies to organs such as the lungs, heart, aorta, and coronary arteries. The software is designed to automatically turn findings into a quantitative report.

The syngo Virtual Cockpit3 software solution can be used by medical staff to connect remotely to scanner workplaces to assist personnel at a different location, especially where more sophisticated examinations are required. syngo Virtual Cockpit can be utilized with MRI and MR-PET scanners as well as with CT systems from Siemens Healthineers. With the ability to deploy experienced technologists across multiple locations, healthcare providers can transform care delivery and achieve a higher level of standardization that can lead to more accurate diagnoses.

Atellica® Data Manager4 operationalizes data from patient samples and QC (quality control) results to standardize testing, optimize QC performance, and maximize the potential of autoverification while reducing operator interventions, unwarranted variations and errors. Open and scalable, Atellica Data Manager is built on the powerful CentraLink solution currently in use by 1,500+ laboratories in more than 50 countries to help optimize clinical operations, increase testing volumes and improve turnaround times.

Atellica Inventory Manager provides automated, real-time control over reagents and consumables across multiple lab locations to reduce inventory costs, save time, and improve efficiencies. Pre-labeled radio frequency identification (RFID) tags simplify inventory check-in, check-out, and consumption tracking, and, when enabled, consumables can be ordered automatically through cloud-enabled software.

Atellica Process Manager provides advanced analytics and business intelligence capabilities, enabling labs to gain real-time insight into hidden inefficiencies in their workflow. Out-of-the box and interactive reports enable lab managers to assess key metrics such as turnaround times, testing volumes, problem samples, and automation utilization.

1 AI-Pathway Companion is currently under development. It is not for sale in the U.S. Its future availability cannot be guaranteed.

2 AI-Rad Companion Chest CT is pending 510(k) clearance, and is not yet commercially available in the United States or other countries.

Syngo Virtual Cockpit is not yet commercially available. Its future availability cannot be ensured. Please note that Expert-i must be available on the Siemens Healthineers Scanner to use this software solution.

4 Atellica Data Manager is under development. Not Available for Sale. Future availability cannot be guaranteed.

5 Digital Twin Technology is currently under development. It is not for sale in the U.S. Its future availability cannot be guaranteed.

The products/features (mentioned herein) are not commercially available in all countries. Their future availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details.

Michael Walter
Michael Walter, Managing Editor

Michael has more than 16 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.

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