Industry Leading Content

CDO Healthcare Exchange | 2024 Post Event Report

CDO Healthcare Exchange | 2024 Post Event Report

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 Journey to HIMSS AMAM Stage 7

The Journey to HIMSS AMAM Stage 7

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:

  • The roadmap to reach HIMSS AMAM Stage 7 
  • The kind of cultural change needed to reach HIMSS AMAM Stage 7
  • The impact that advanced analytics can have on patient care and employee experience
Generative AI Revolution in Healthcare: Opportunities, Ethics and Strategy

Generative AI Revolution in Healthcare: Opportunities, Ethics and Strategy

Generative AI is poised and ready to revolutionize modern healthcare - do organizations have proactive strategies & risk mitigation in place?

Verato hMDM Guide

Verato hMDM Guide

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.

The Rise of Challenger Pharmacies

The Rise of Challenger Pharmacies

What role does Amazon Pharma Play in the disruption of US healthcare system?

How Children's Hospital Colorado Accurately Predicts Patient Numbers

How Children's Hospital Colorado Accurately Predicts Patient Numbers

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. 

The Future of Data: Insights On A Rapidly Evolving Industry

The Future of Data: Insights On A Rapidly Evolving Industry

An interview with Martin French, Head of Data Engineering at Sanne Group.

Customer Voices in Healthcare Report

Customer Voices in Healthcare Report

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:

  • Why healthcare customers are getting stuck
  • Common CX healthcare disruptions
  • What disruptions mean for healthcare organizations
  • The next steps to take to resolve the CX journey
INVESTING IN YOUR DATA TRANSFORMATION: People, Tech, Budget & Resources

INVESTING IN YOUR DATA TRANSFORMATION: People, Tech, Budget & Resources

Rafid Denha, Global Head of Transformation – Compliance Data, HSBC

Investing In Your Data Transformation

Investing In Your Data Transformation

An interview with Rafid Denha, Global Head of Transformation, HSBC.

The Data Culture Playbook

The Data Culture Playbook

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.

Increase Data Lake ROI with Streaming Data Pipelines

Increase Data Lake ROI with Streaming Data Pipelines

Data lakes have emerged as an attractive complement to traditional data warehouses because they store masses of structured and unstructured data in native formats until analytical needs arise. However, many enterprises struggle to realize the expected return on data lake investments due to the unexpected challenges associated with data quality, data governance and data immediacy.

This paper discusses how to automate your data lake pipeline to address these challenges and stop pristine data lakes devolving into useless data swamps.

Attunity provides automated data lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.

This whitepaper describes the following:
  • Data lake origins and challenges including hybrid data integration, multiple data source platforms, and lakes both on premises and in the cloud.
  • Real-time integration, with change data capture technology that integrates live transactions with the data lake.
  • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assembles a historical data store.
    Leveraging a scalable and autonomous streaming data pipeline to deliver analytics ready data sets.
Presentation: Devising and Delivering and Comprehensive, Enterprise-Wide Data Strategy to Unlock Actionable Insights

Presentation: Devising and Delivering and Comprehensive, Enterprise-Wide Data Strategy to Unlock Actionable Insights

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.

  • Moving from federated to centralised operating model to break down functional and data silos
  • Aligning your data vision to the creation of customer value
  • Embedding trust and ethics into your approach to data usage in order to build transparency

Rob McKendrick, Head of Data Governance and Management, The Co-Op

Panel Discussion: Exploring the Role and Importance of Data Ethics to Build and Maintain Trust in the Digital Economy

Panel Discussion: Exploring the Role and Importance of Data Ethics to Build and Maintain Trust in the Digital Economy

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.

  • What are the key risks that organisations need to be aware of regarding the ethics of data and AI?
  • What metrics/procedures can be put in place to ensure that you can both understand and mitigate your risks?
  • How can you ensure that customers have a transparent view of how their data is being used?
  • How can you navigate the risk of unconscious societal biases?

Speakers on the panel:

  • Sudip Trivedi, Head of Data and Analytics, London Borough of Camden
  • Mahesh Bharadhwaj, Head of Europe Analytics, Funding Circle
  • Dan Gilbert, Director of Data, News UK
  • Nina Monckton, Head of Data Strategy, Advanced Analytics and Data Science, AXA Health
  • Moderated by Robin Sutara, CDO, Microsoft