Download the 2024 post event report for exclusive insights on attendee investment priorities, audience breakdown, key themes discussed at the event, and much more!
The HIMSS Analytics Maturity Assessment Model (AMAM) determines where healthcare organizations are on the data and analytics maturity curve. Only a handful of organizations worldwide have reached the highest level, indicating population-level predictive modeling. The CDO Healthcare Exchange was lucky enough to sit down with Ryan Sousa, a data and analytics leader who has led organizations through the journey to HIMSS AMAM Stage 7. In this interview, Ryan shares valuable insight on:
Generative AI is poised and ready to revolutionize modern healthcare - do organizations have proactive strategies & risk mitigation in place?
Patient identity is a pervasive problem that impacts nearly all areas of hospital operations. 72% of health IT executives report that siloed, inaccurate patient data hurts care quality and the bottom line. To guarantee the integrity of your data and empower your strategic initiatives, it’s essential that your MDM technology provide a complete and trusted, single source of truth for identity for patients, members, consumers, providers, and communities.
Organizations like Northwell, Baptist Health, Intermountain Healthcare, Healthix and United Healthcare use Verato to ensure accurate, reliable identity verification and resolution. To see why it works, check out Verato's comprehensive hMDM guide for insights you can use.
What role does Amazon Pharma Play in the disruption of US healthcare system?
Insight into how Kerri Webster, Chief Analytics Officer at Children's Hospital Colorado, led a data team to predict patient numbers to within a 98% accuracy, 72 hours ahead of time.
An interview with Martin French, Head of Data Engineering at Sanne Group.
Listening to consumer feedback has never been so important in a post-pandemic digitalized era, and this is especially true in healthcare where customer experience frustrations are becoming concerningly common. So common, in fact, that 1 in 4 healthcare customers get stuck in their customer journey every day.
Download the report to find out:
Rafid Denha, Global Head of Transformation – Compliance Data, HSBC
An interview with Rafid Denha, Global Head of Transformation, HSBC.
Tableau has developed the Data Culture Playbook to guide executives and data leaders in how to mature data usage across the organization in a way that ensures value is being created where and when it is needed most. The playbook lays out a phased approached to build, run, and expand your Data Culture.
As data increasingly emerges as the currency for innovation and competitive advantage, it is essential to build a modern and agile data ecosystem that will support and augment business-decision making. A robust strategy that treats data as a strategic corporate asset is crucial to maximising its value across the business. But as digitalisation proflerates and the world becomes more connected than ever, businesses are grappling with an overwhelming volume and variety of data.
This begs the question: where should you begin in formulating a vision and strategy that connects the disparate parts of the data puzzle to unlock enhanced decision-making capabilities? In this session, Rob McKendrick shared how The Co-Op is building a strategy that places data at the core of the business to both drive internal operational efficiencies and foster improved customer outcomes.
Rob McKendrick, Head of Data Governance and Management, The Co-Op
The explosion of data being generated, curated, and shared within organisations in recent years has brought with it unprecedented risks. As consumers and regulators alike are becoming more concerned with the misuse of data, the question of ethics and inherent societal bias in data has been thrust into public consciousness. High-profile data breaches have proliferated over the past few years, so it is crucial that organisations create ethical data practices in order to avoid the astronomical consequences of a breach, not just from a financial point of view, but also from a reputational perspective.
This panel discussed how to navigate the complexities of data ethics in order to foster a trust-based, transparent approach to data and analytics.
Speakers on the panel: