Arcadia conducted a study to understand the latest trends in healthcare IT. This exclusive webinar unveils critical insights from the Harris Poll that are shaping the future of health analytics platforms and the emergence of AI. Join speakers:
What you’ll learn:
A recent study conducted by HIMSS Market Research uncovered that many organizations have integrated various tools and data sources with data analytics platforms to get more from their data, and they’re looking to supercharge their efforts with AI and new data sources. Yet, more than half of executive, IT, technology, and clinical leaders report that, on average, only 53% of this data informs business decisions.
What’s more, organizations face various challenges in adopting new data platforms and tools. The most common barriers include competing priorities, the perceived complexity of integration, and a lack of internal resources. Something has to give.
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Join Mike Tiffany Chief Operating Officer at Arcadia and Shashi Vangala, SVP, Chief Data Analytics Officer, Ochsner Health for this timely discussion.
What you’ll learn:
We’ll discuss:
Why listen?
This session aims to present actionable strategies, specifically highlighting patient engagement programs and technology partnerships, that healthcare executives can deploy for impactful HPV vaccination outreach. Operational, clinical, and strategic leaders at large healthcare organizations and those focused on population health initiatives will not want to miss this expert panel.
Speakers
Unlocking big data is critical to achieve healthcare transformation — which means healthcare organizations require access to high-quality and accurate data, as well as the right governance, infrastructure, and analytics to make the data effective and useful.
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One of the biggest drivers of change in the healthcare industry is new technology like ChatGPT and other advances in AI. These tools can transform the way we operate, deliver care, and make impactful decisions. But, these are not without concern. Some worry AI algorithms could develop a bias, leading to unequal access to care. Or they could replace a human’s expertise, leading to a less personalized experience. Despite these concerns, AI and new tech have the potential to transform healthcare. We'll go over:
Watch Ben Suster in this engaging discussion with Dr. Rich Parker and Dipu Patel, DMSc, MPAS, PA-C about the digital trends in healthcare that are transforming the way we deliver care. This is a session forward-thinking ACOs, CINs, health systems and hospitals, and payer organizations won’t want to miss.
In this episode, we discuss:
According to the Centers for Disease Control and Prevention (CDC), six in 10 American adults have one chronic disease and four in 10 have two or more chronic conditions. Risk adjustment aims to identify and treat these highest risk patients.
Strong patient stratification and care management programs are the best way to close gaps in care, reduce costs, and ultimately achieve better health outcomes. But getting started with risk adjustment isn't always easy — doing it right is even harder.
Beth Israel Lahey Health Performance Network (BILH-PN) began a small pilot program to see if they could make an impact. They took a creative approach to risk in their network by proactively reaching out to get patients in the office and using refined documentation processes to track progress. Their small pilot program is now expanding.
Join Arcadia's VP of Enterprise Partnerships Anna Basevich for an engaging discussion with Victoria Smith, Director of Process Improvement & Design at Beth Israel Lahey Health Performance Network, and Maria Mann, Clinical Product Manager at Arcadia.
The first 30 days after patient discharge are critical.
According to CMS, nearly one in five Medicare patients discharged from a hospital — approximately 2.6 million seniors — are readmitted within 30 days, at a cost of over $26 billion every year. Transitional Care Management (TCM) aims to deliver proper care to patients and can reduce readmission by a staggering 86%. But disparate data can delay results for healthcare organizations implementing TCM programs.
AMITA Health Care Network (AHCN), a top-rated Clinically Integrated Network (CIN) in Illinois, was able to succeed in TCM by empowering their population health teams with data analytics.
How? AMITA aggregated ADT data for near real-time identification of discharged patients, and leveraged Arcadia’s Vista Dashboards to track performance and optimize results.
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Join Arcadians Andrea Purjue and Jake Hochberg for an insightful discussion with Michele Winiarz of AMITA Health on importance of TCM.
In the past year, they’ve sent 17,000 text messages to patients who have a colon cancer screening gap. Before the program only 5% of patients opted for a FIT colon cancer screening, whereas 20% of patients opted for this method after SDM was implemented.
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Let’s bridge the gap between leadership and take a look at how decision-makers in healthcare, data, and IT are approaching the build vs. buy debate. Join Arcadia to learn best practices for evaluating healthcare data platforms and the tradeoffs between building vs buying. Michael Meucci, COO at Arcadia, and Scott Samways, Vice President Information Technology & Health Informatics at BILH, will discuss key cost considerations, board room points of contention, and the actual technology stack needed to be successful when putting data to work for healthcare.
Listen in to learn:
-Key cost considerations in the build vs. buy debate for healthcare data platforms.
-What your strategic, financial, and technical healthcare leaders are saying about build vs. buy.
-The top features your healthcare data platform needs to actually be successful under various payment models.
Let’s talk about how you can slide smoothly into risk. Join Carrie Nave, Director of Operations at Ascension, Brian Croegaert, RN BSN, SVP of Value-Based Care Services at Arcadia, and Nicole Geier, Director of Client Business Management at Arcadia as they discuss how a solid data foundation, reporting, and analysis can enable healthcare organizations to accelerate their journey to risk.
This session is relevant for ACOs under value-based contracts, CINs who want take on risk to improve financial and patient outcomes, and anyone interested in how leading healthcare organizations are using value-based care to come out on top.
What happens when government, health systems, and technology all work together? Better, more equitable healthcare outcomes for everyone involved.
When the wildfires swept through Oregon, the state put their Medicaid-related healthcare funds to work. They partnered with Umpqua Health to provide air filtration units to patients in need at no cost, saving lives in the process. This was made possible by Umpqua’s ability to react quickly and use data to stratify their patient populations, identify those who needed air filtration most, and utilize the resources the state provided.
Let’s clear the smoke on health equity. Join Dr. Douglas Carr (Umpqua Health), Dr. Robin Traver (Umpqua Health), and Dr. Rich Parker (Arcadia) for an engaging discussion on how organizations like Umpqua are collecting and deploying SDoH data sets to leverage care management strategies, respond to emerging challenges, and create equitable healthcare outcomes for their communities.
Data on a single patient can flow from point A to point B. But what does it mean to achieve interoperability at a population level?
As an industry, we have made meaningful progress in interoperability since the passing of the HITECH act in 2009. Use cases like sending an ADT notification or exchanging a CCDA document have largely been solved for and there are exciting new standards like FHIR which have tremendous promise.
There is still a lot of complexity, however, in solving interoperability across a large provider base with multiple EHRs and disparate workflows. Standards can only get you so far and the crucial last mile of interoperability — making data seamlessly available in provider workflows — is not just a technical problem.
Your organization needs the ability to enable providers to act on whole-person insights at the point of care and drive outcomes at scale. That requires a massive rethinking of the problem.