Dubai, United Arab Emirates, November 23rd, 2022: Canadian University Dubai (CUD) hosted a masterclass with a well-renowned guest-speaker, Engineer Muhammad Mudassar, Regional Business Lead, Data Management & Interop Solutions Philips Netherlands, to share how Artificial Intelligence revolutionizes industry and business through Demystifying Artificial Intelligence (AI) in Healthcare Management.
The healthcare providers are facing unsustainable burdens, while patient expectations of healthcare are changing. Artificial intelligence provides opportunities to transform the world and influence the processes within the healthcare industry. Mr. Mudassar leads data management and seamless interoperability health informatics for businesses within Philips Netherlands, managing Middle East, Turkey, Africa, APAC and ISC Markets. His prime focus is enabling digital health and AI innovation solutions to deliver quality patient outcomes through the application of e2e operations and clinical performance management.
“Artificial Intelligence has the potential to transform healthcare services into an entirely efficient patient-centric process.” Dr. Rachid Alami, Associate Professor, Faculty of Management
Digital transformation within the healthcare industry has grown exponentially. By 2025 the amount of healthcare data is expected to grow by 36%. Mr. Mudassar expressed the need for AI to support healthcare providers and patients through making the abundance of data, sensical. He illuminated that AI within the healthcare management system is:
- A key to wellness
- A solution to labour shortages
- An answer to physician burnout
- A guardrail for quality and safety
- A driver of consumer behaviour change
- An explanation to reduces costs
- The backbone of clinical decision support
Computers can perform faster than humans in the process of questions and answers. AI can be applied to past data evidence to help computers and software answer and predict future questions. The objective is to enable optimal, precise and personalized care across the health continuum. AI in healthcare can enhance human experiences – to empower patients with chronic disease and to help the patients adhere to therapy plans and achieve health goals.
“Expectations are everything in artificial intelligence. It is important the following principles are examined: Firstly, realistic expectations of AI, secondly, how to think about computers that ‘think’ and thirdly, finding, fighting and preventing AI and algorithmic bias.” Engineer Muhammad Mudassar, Regional Business Lead, Data Management & Interop Solutions Philips Netherlands
Although AI can be geared to nurturing a positive healthcare management system – AI is not free from error. Challenges in AI includes and is not limited to:
- Clean curated data
- Access to large datasets with appropriate patient privacy protection
- Measuring performance
- Evolving regulatory standards.
Mr. Mudassar emphasizes that industry should separate between hope and hype "artificial Intelligence systems that can think and reason through complex problems… we’re nowhere close to such technology.”
Healthcare management systems are inevitably undergoing a radical global change. Noticeably, care providers are driving artificial intelligence innovations. Artificial intelligence applications within the healthcare industry is rising, as the number of approved algorithms is improving after rigorous testing in clinical trials. AI can be applied with human centric applications across the healthcare management continuum, creating thriving healthcare organizations. Combining the power of AI, together with the clinical knowledge of practitioners and leaders in the medical industry can create solutions which can be integrated into the workflows of healthcare providers.
With AI, we can help people take better care of their health and well-being, enabling healthcare providers to do what they do best. “AI is the perfect solution to handle high levels of information-driven variation and dissemination. AI can be leveraged to monitor and refine processes to and make predictions to achieve even greater efficiencies and to mine data from lab, medication and claims to recommend the most appropriate actions.” Dr. Rachid Alami, Associate Professor, Associate Dean of Graduate Studies, Faculty of Management