How Big Data Will Change Health Care

The healthcare industry is undergoing a major transformation through advanced analytics and big data. The global healthcare big data market is projected to reach $34 billion by 2022. Thomas Lauer from SAP discusses the impact of big data, AI, and machine learning in healthcare, emphasizing the challenges of data privacy and legal constraints. SAP is working to improve healthcare delivery by integrating data and engaging patients as consumers. Despite challenges, digital health solutions are being adopted incrementally, with a focus on cybersecurity and cloud solutions.

What is the projected value of the global healthcare big data market by 2022?

• $100 billion

• $50 billion

• $34 billion

• $20 billion

Which technologies are essential for unleashing the promise of digital health according to Thomas Lauer?

• Augmented Reality and Robotics

• 5G and Internet of Things

• Blockchain and Virtual Reality

• AI, Machine Learning, and Quantum Computing

What is a major hurdle in using big data in healthcare?

• High cost of technology

• Data privacy and security

• Lack of data

• Limited access to healthcare

What is the role of patients in the future of healthcare data management?

• Patients will have no control over their data

• Patients will manage all healthcare data independently

• Patients will increasingly act as consumers and give consent for data use

• Patients will be passive recipients of healthcare

How does SAP help healthcare organizations with data?

• By focusing solely on supply chain management

• By integrating data and providing predictive insights

• By providing disconnected data solutions

• By replacing existing systems

What is one of the biggest concerns for organizations when adopting digital health solutions?

• Lack of skilled personnel

• Limited technological infrastructure

• Data breach and cybersecurity

• High initial investment

What is SAP's approach to implementing digital health solutions?

• Replacing existing systems entirely

• Deploying solutions as cloud-based and incremental

• Ignoring existing healthcare models

• Focusing only on financial aspects