The healthcare industry is gradually shifting towards a more consumer-centric approach, focusing on delivering more personalized care and patient engagement. Tools and technologies like mobile health apps and wearables are being utilized to empower individuals to take charge of their health. This is presenting healthcare care teams with a tremendous opportunity to leverage real world data (RWD) and real world evidence (RWE) to facilitate more precise and personalized care delivery.
By tapping into sources of RWD, including electronic health records, wearables, patient-generated data, and social determinants of health, healthcare organizations can gain a deeper understanding of patient populations and their unique characteristics. Furthermore, by building in AI algorithms teams can more quickly and accurately identify patterns, predict outcomes, and assess the long-term impacts on patient health and burden of treatment.
In this webinar, our expert panel explores the questions:
- How might a company look to use a data-driven approach facilitate evidence-based decision-making, optimization of care pathways, allocation of resources and cost effectiveness?
- How could AI and RWD support pharma in identifying the most appropriate payment and reimbursement models that help them achieve effective value-based patient care?
- How can organizations use AI to stratify populations based on risk, predict disease progression, and identify individuals benefiting from proactive interventions
- How should healthcare providers be effectively analysing RWD and RWE to assess patient reported outcomes, quality of life measures, functional status, and other relevant health indicators? How can managed care organizations use AI to stratify populations based on risk, predict disease progression, and identify individuals benefiting from proactive interventions?