AI and advanced analytics tools can streamline healthcare organizations’ clinical and non-clinical workflows, allowing clinicians and staff to focus on higher-value tasks. However, thoughtful implementation and change management are crucial for adopting these tools. In season 2, episode 5 of the “Unlocking Big Data” podcast presented by HIMSS, John Halamka, Mayo Clinic Platform president, and Arcadia president and CEO Michael Meucci, talk about important steps healthcare organizations should take to ensure that any AI tools they use deliver accurate results and help increase equitable care delivery.

You’ll learn about:

• How healthcare leaders can set their organizations up for successful AI deployment
• Data analytics platforms’ role in optimizing resource management and personalizing patient care
• The most impactful use cases for data analytics and AI tools

Want to hear more? Watch our companion TV episode at arcadia.io/bigdata

Recent HIMSS Market Insights research found that 52% of healthcare leaders believe their organization lacks the data infrastructure necessary to fully realize the value of AI today. How can smaller healthcare organizations — and those with fewer resources — realize the promise of AI for gaining insights from their data? In Season 2, Episode 4 of the “Unlocking Big Data” podcast presented by HIMSS, Luis M. Ahumada, director of health data science and analytics at Johns Hopkins All Children’s Hospital, and Jake Hochberg, VP of analytics and chief analytics officer at Arcadia, talk about how smaller healthcare organizations can build a strong data strategy, partner with a data analytics vendor to ensure they’re collecting high-quality data and prepare for eventual AI adoption.

You’ll learn about:

• Ensuring successful AI deployment for healthcare organizations, regardless of size or budget

• What larger organizations can teach smaller ones about using AI tools
• The role of a data analytics platform in enabling AI deployment

Want to hear more? Watch our companion TV episode at arcadia.io/bigdata

While healthcare organizations generate vast quantities of data every day, recent HIMSS Market Insights research found that just over half of healthcare leaders say that more than 50% of their organization’s data is being used to make intelligent business decisions. In Season 2 Episode 3 of “Unlocking Big Data,” presented by HIMSS, Julius Bogdan, Vice President and General Manager of Digital Health Advisory - North America at HIMSS, and Mary Kuchenbrod, Vice President of Data Operations at Arcadia, talk about how healthcare leaders can increase their data’s accuracy and reliability, and leverage all their data to help achieve their organizations’ clinical and business goals.

You'll learn about:

• Best practices for increasing data’s accuracy and reliability
• Use cases for driving intelligent business decisions with insights derived from data
• Strategizing with your data analytics platform partner

Want to hear more? Watch our companion TV episode at arcadia.io/bigdata

While healthcare organizations generate vast quantities of data every day, recent HIMSS Market Insights research found that just over half of healthcare leaders say that more than 50% of their organization’s data is being used to make intelligent business decisions. Healthcare leaders want to apply artificial intelligence (AI) to create actionable insights from their organizations’ data. However, according to recent HIMSS Market Insights research, 52% of these leaders somewhat or strongly agree that their organizations lack the data infrastructure necessary to realize AI’s value today. In Season 2, Episode 2 of the “Unlocking Big Data” podcast presented by HIMSS, Albert Duntugan, UCLA Health’s Chief Data Officer, and Nick Stepro, Arcadia’s Chief Product and Technology Officer, talk about how healthcare leaders can develop the right strategies and build the infrastructure to support a data analytics platform that will drive efficiencies and improve patient outcomes.

You’ll learn about:

• Strategies for building a data analytics infrastructure
• Data analytics platform vetting processes
• Alignment of capabilities with use cases and a platform’s ability to meet current and future needs

Want to hear more? Watch our companion TV episode at arcadia.io/bigdata

As data fuels the ongoing digital transformation in healthcare, leaders have plans for how it will transform care. Indeed, 56% of healthcare leader respondents cited improving the quality of care as the most important goal that data empowers for their organizations, according to recent HIMSS Market Insights research on the use of data analytics platforms. However, deploying these solutions will change workflows for busy staff, and buy-in from both staff and the C-suite are required. In Season 2, Episode 1 of the "Unlocking Big Data" podcast presented by HIMSS, Albert Marinez, Chief Analytics Officer at Cleveland Clinic, and Michael Meucci, President and CEO of Arcadia, talk about educating staff and executives on data initiatives as part of the foundation to building a successful business case.

You'll learn about:

• Incorporating best practices and lessons learned from your peers
• Showing how barriers to deployment can support the business case
• The role of a trusted data analytics platform partner

Want to hear more? Watch our companion TV episode at arcadia.io/bigdata

According to HIMSS Market Insights research, although 8 in 10 healthcare leaders are satisfied with their current analytics platform, less than a quarter are "very satisfied." In Episode 5 of the "Unlocking Big Data" podcast presented by HIMSS, Chad Konchak, AVP of Clinical Analytics at NorthShore University HealthSystem, and Michael Meucci, CEO of Arcadia, talk about what the ideal healthcare data analytics platform would look like and how the pandemic has changed health systems' needs.

You'll learn more about:

• Next steps for the next generation of data analytics platforms
• What new technologies and apps to expect in the near future
• Lessons learned from the pandemic on data access and quality data

According to HIMSS Market Insights research, 57% of an organization's data is being used to make intelligent business decisions. Those who work within an IDN or multi-hospital (64% of respondents) are more likely to report that their data is used to make intelligent business decisions than stand-alone hospitals, specialty hospitals or academic medical centers. In Episode 4 of the "Unlocking Big Data" podcast presented by HIMSS, Isaiah Nathaniel, VP and CIO of Delaware Valley Community Health, Inc., and Jake Hochberg, VP Analytics and Chief Analytics Officer at Arcadia, talk about healthcare data's role in helping leadership make business decisions.

You'll learn more about:

• How to increase the use of healthcare organizational data to make intelligent business decisions
• Lessons from healthcare organizations that have been able to leverage more of their data
• How to align health equity goals with intelligent business decision-making and overall organizational goals

According to HIMSS Market Insights research, healthcare organizations' success depends on their data's accuracy and quality. Ninety-three percent of respondents agree that access to quality data, across all platforms and workflows, is critical to an organization's performance. However, nearly a third state that their organization's data is less than 76% accurate. In Episode 3 of the "Unlocking Big Data" podcast presented by HIMSS, Anne Snowdon, Chief Scientific Research Officer at HIMSS, and Mary Kuchenbrod, Vice President, Data Operations at Arcadia talk about how data analysis platforms can support healthcare organizations' efforts to improve data accuracy.

You'll learn more about:

• How to increase the accuracy of healthcare organizations' data accuracy – strategy, people, technology
• The role of data analytics platforms in achieving data accuracy
• The importance of data accuracy and quality data in supporting and advancing health equity

According to HIMSS Market Insights research, investing in analytics platforms comes with its own challenges. "Competing with other strategic priorities" (71%) and "staff resources to implement and train for new technologies" (58%) were cited as the biggest barriers with investments in or upgrades to analytics platforms. In Episode 2 of the "Unlocking Big Data" podcast presented by HIMSS, Tina Esposito, System VP and Chief Health Information Officer at Advocate Health, and Nick Stepro, Chief Product and Technology Officer at Arcadia, discuss how to get buy-in from executive leaders and staff to adopt new solutions to existing workflows.

You'll learn more about:

• How to put data accuracy and access as a top organizational priority
• Overcoming small to mid-size healthcare organizational resistance to new solutions adoption
• The ability of a robust data analytics platform to support and advance health equity

According to HIMSS Market Insights research, 93% of respondents agree that access to quality data, across all platforms and workflows, is critical to an organization’s performance. As a result, many of the respondents’ healthcare organizations have integrated or plan to integrate various tools and apps with their data analytics platforms. In Episode 1 of the “Unlocking Big Data” podcast presented by HIMSS, Andrew Sorenson, Regional VP, Data and Digital Product Strategy and Governance at Centene Corp., and Michael Meucci, CEO of Arcadia, discuss the use cases for data analytics in healthcare.

You’ll learn more about:

• How all healthcare organizations, regardless of size, can integrate various tools/technologies with their data analytics platform
• Impact of the pandemic on decision-making regarding a data analytics platform.
• The importance of a robust analytics strategy to advance health equity