Competencies for Future-Ready Operations Managers: AI in Predictive Healthcare

Predictive health analytics holds transformative potential, enabling providers to anticipate patient risks, improve clinical outcomes, enhance satisfaction, and drive operational and financial performance. However, this potential remains largely untapped. Using predictive modelling, healthcare analytics draws on massive data streams from public and private sources to improve diagnostics, foster knowledge-sharing, and enhance medical decision-making. However, the sheer volume of health data is both a strength and a challenge; the healthcare industry now accounts for 30% of the world’s data and is growing at an annual rate of 36%, projected to reach 10,000 exabytes by 2025. Extracting meaningful insights from this vast sea of structured and unstructured big data requires advanced artificial intelligence (AI) tools and the right organisational competencies to use them effectively.
As organisations race to adapt their operational strategies, they must invest in building the right capabilities. From machine learning algorithms and time-series models to deep learning and natural language processing (NLP), the ability to manage and apply these technologies hinges on a workforce equipped with the skills and mindset to drive innovation. This article explores how healthcare providers can develop the competencies needed to harness AI’s power in predictive healthcare and the operational strategies required to overcome implementation challenges.