Make a Step Towards Sustainable Digital Healthcare Ecosystem at AUTOMA+ 2023

AUTOMA+ 202325 - 26 September 2023, Zurich, Switzerland.
Executive opening panel dedicated to the sustainable digital healthcare ecosystem is the highlight of Healthcare Automation and Digitalization Congress 2023. The Congress is held on September, 25-26, 2023, in Zurich, Switzerland.

Executive opening panel is an opening session of the first day of the Congress. Leading players of the healthcare industry share professional experience on how digitalization in healthcare affects sustainability. Panelists are going to raise the topics of:

  • Achieving health-related SDGs
  • Value-Based Healthcare Paradigm
  • Digitalization and digitally skilled workforce as powerful drivers of the world health equity

There are several ways of achieving a sustainable digital healthcare ecosystem through the health-related SDGs. For example, the use of digital tools such as wearable monitoring devices, telemedicine, EHRs, has reduced the need for transport as well as paper consumption and all that leads to environmental benefits. Speaking about apps and AI based digital health solutions, these technologies can help democratize access to medical expertise in developing countries, thereby contributing to the democratization of medical knowledge and information.

Within the Congress, Bartłomiej Lubiatowski, CEO and CINO at RSQ Technologies, is going to talk about achieving a sustainable digital healthcare ecosystem by presenting the topic "A medical metaverse of the now". RSQ's modern approach to creation starts at the design process, which always involves the recipients of a given part of the system, e.g. doctors for medical documentation, and consists in creating the best experience of RSQ systems users. This way, value-based healthcare puts the positive health outcomes of the patients at the top of the pyramid of priorities.

Digitalization and digitally skilled workforce has become another way for achieving a sustainable healthcare system. Digital tech is making healthcare proactive as opposed to reactive, enlarging and enabling access to quality healthcare for communities that were traditionally underserved or marginalized. Digitally skilled workforce is an important part of sustainable development of the digital healthcare ecosystem since in the context of digitalization of healthcare, training workers in special skills in order to increase the workforce helps to provide medical services more efficiently and quickly.

To learn more about the topics of AUTOMA+ 2023, request the full business program here: https://sh.bgs.group/o0

About AUTOMA+

AUTOMA+ is an annual closed-door Healthcare networking congress which gathers innovators in the healthcare industry with the main goal to contribute to further development of ongoing digital health trends. Among topics raised are sustainability, patient centricity, data management, security and privacy, virtual care, AI assistants and many others.

During 2 days of intensive networking participants get direct access to the whole value chain of the industry. This year AUTOMA+ is gathering industry leaders from hospitals & healthcare providers, pharmaceutical companies, governmental bodies and institutions together with medical device manufacturers, service companies and start-ups to discuss innovative solutions and business practises and share the lessons learned.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...