healthcare reboot for the gcc
AI is no longer a technology of the future:
it is very much here and in use today. It holds the promise of empowering healthcare leaders to overcome some of the sector’s most historically daunting challenges - detecting diseases at their earliest stages, streamlining patient care, reducing medical errors, decreasing clinician burnout, lowering system costs, and improving outcomes that matter to the populations it serves.
Already we are seeing natural language processing (NLP) being used, among other things, to record doctors' notes, interpret medical histories, and analyse scientific literature more thoroughly than humans. Deep-learning algorithms applied to wearable sensors, genomic data, blood work, scans, and other medical information can develop personalised treatment plans. And virtual medical assistants powered by AI can offer health coaching, shape diets, and even help prevent and predict illness.
The need for AI is clear:
by integrating patients, providers, payers, and pharmaceutical companies through AI, a unified front is created to overcome some of the sector’s greatest challenges and supercharge the healthcare ecosystem. Providers leverage AI-powered diagnostics and treatment planning for personalised patient care. Payers benefit from proactive risk management and cost optimisation. Pharmaceutical companies streamline drug discovery and development, accelerating the journey from research to market. This holistic integration ensures a collaborative approach, where information flows seamlessly across the sector, fostering innovation, efficiency, and a collective commitment to advancing the quality and accessibility of healthcare services.
As the opportunities and use-cases for AI in healthcare continue to evolve, it raises a host of questions for healthcare players in the GCC:
Where should healthcare players place their bets?
Should players take immediate action and invest in high-cost technologies, following global counterparts and best practices, even if they may pose some form of risk?
Or should players progress in small steps focused on low risk and low cost solutions (quick wins) to check the box for AI integration?
Do organisations have the minimum level of data quality, completeness, and maturity to enable the use of AI?
How will healthcare providers gain the trust of patients in clinical diagnosis and data privacy?
How smoothly can they transform existing healthcare systems and workflows into digitised, AI-enabled processes?
Our latest paper will help organisations to structure their adoption route, and demystify AI's potential. With AI poised to reimagine healthcare, where will your imagination lead your enterprise?
