Gerd Hoefner SVP – CTO Projects, Siemens Healthineers
Key Highlights:
Siemens Healthineers endeavors to pioneer innovation in healthcare for everyone, everywhere
Siemens innovations are patient-centric which enables better outcomes and experiences
3 focus areas on Siemens are:
Patient Twining - Digital twin will play a vital role in the personalized diagnosis
Precision therapy - Image-guided intelligent treatments are proving crucial in managing and treating diseases
Digitalization - Leveraging digital technologies to enable providers to improve solutions for the patients
Digital twin enables design and manufacturing teams collaborate and speed up design process and response times
Digital twins can gather, visualize, and contextualize data from across physical assets and products, bridging operations and digital capabilities
On the clinical side, digital twins model future scenarios and surgical simulations, help with medical education, drive research, and facilitate care delivery
The initial focus has been on creating twins of human organs for a deeper diagnosis and recommending relevant treatments to patients
While the healthcare sector has long been seen as a laggard in digital adoption, the pandemic was a wakeup call, underscoring the urgency to embrace new tools and technologies
Technology evolution helped drive miniaturization and enabled value innovation
Software-led data collection and analysis is set to redefine the future of health care businesses
The evolving technology dynamics has had a major influence on the design and development of medical device software
New models are being developed to solve the current healthcare problems. However, many companies are still facing significant challenges in operationalizing those and monetizing their output
Conceptualizing data science as a product will help ensure a focus on implementation, rather than just its development
Digital twin will help product manufacturers gain much-need agility and resilience
Also help leverage operational data with predictive and prescriptive AI for continuous productivity, asset reliability, and eco-sustainability optimization
