Rapid innovation, shifting payment models, and changing patient demands are transforming healthcare and their expectations for convenience, affordability and quality are redefining how they engage at each stage of care
Our work is based on quantitative surveys of patients, physicians, and industry executives, as well as in-depth qualitative interviews with experts in the field.
The research has covered topics including the shift to value-based care, the rise of precision medicine, the growing use of artificial intelligence among payers and providers, and changing consumer attitudes toward virtual care and other service-delivery models.
Healthcare consumers today are changing, and their expectations for convenience, affordability and quality are redefining how they engage at each stage of care.
Oxford Economics worked with Accenture to field a survey of nearly 8,000 consumers across seven countries about their experiences with both traditional healthcare and alternative methods like walk-in clinics, virtual care, and on-demand services.
Read the 2019 Digital Health Consumer Survey country reports
Population Health Management (PHM) is becoming increasingly important for both payers and providers, as new payment models are applied that put outcomes and value of care ahead of quantity. Even as PHM develops and matures, it is already beginning a transformation – one that shifts focus to earlier-at-risk populations to keep them healthier longer, while also exploring more efficient ways of managing the chronically ill.
Oxford Economics worked with IBM to develop surveys tailored to healthcare payers and providers in multiple countries; we also conducted dozens of in-depth interviews with regulators, academics, physicians, and other experts in the field.
See IBM’s report on our Population Health Management research
Enthusiasm for AI among C-level health executives is encouragingly high, as is adoption of AI technology, according to respondents in six European and Asia-Pacific countries. At the same time, those executives are being appropriately cautious about the types of AI they are choosing to implement.
Understand how artificial intelligence is applied in healthcare
Personalized medicine is remaking healthcare by using genetics, genomics, and Big Data to move beyond the familiar one-size-fits-all models of prevention, diagnosis, and treatment. This individualized care promises improved patient outcomes, cost savings, and greater efficiency across the healthcare system - if some substantial obstacles can be overcome.