Take your CDI efforts to new heights. Discover how technology can serve as a catalyst for success, unlocking the next level of performance for your CDI program and elevating its impact. Uncover key metrics to monitor and track, enabling you to effectively demonstrate the value and success of your CDI initiatives within your healthcare organization and solidifying its position as a critical component of revenue integrity and achieving recognition for quality care delivery.

Explore the complex landscape of implementing new healthcare technology. We’ll delve into the challenges and concerns healthcare providers face, from confusion surrounding AI/ML to complacency with existing solutions. Gain a deeper understanding of the crucial role leadership plays in fostering a culture of adaptability, remaining flexible in the face of challenges, and mitigating resistance to change. Learn how adherence to best practices and robust tracking and measurement strategies are essential to garnering staff buy-in.

In an era where consumer awareness and freedom of choice regarding healthcare is on the rise, having the quality of care you deliver be reflected accurately across the variety of scoring and ranking systems is more important than ever. In this client featured presentation lead by Iodine’s Carmel Murphy, Clinical Product Consultant, we explore how accurate and complete documentation serves as the foundation for good quality metrics. Learn firsthand from our valued clients about their journey towards improving quality scores by prioritizing documentation integrity, and how technology has been instrumental in driving this shift.

Every year Iodine Software conducts a client wide cohort study measuring various key metrics in the clinical documentation integrity space and the impact that Iodine has had. In this month's episode we're joined by Iodine's Chief Customer Officer, Brad Wensel, and Chief Operating Officer, Joshua Toub, to review the most recent cohort study of 2022 data and explain the metrics, methodology and discuss the most recent findings.

Clinical documentation integrity teams play a critical role in ensuring quality healthcare and impacting a hospital's quality ranking. In this podcast episode of Iodine Intelligence, Fran Jurcak, Iodine's Chief Clinical Officer, and Tanya Motsinger, the System Director of Clinical Documentation Integrity at OhioHealth, discuss the importance of CDI programs and how AI-powered prioritization tools can help improve efficiency and impact quality metrics.

OhioHealth is a nationally recognized non-profit health system composed of 14 hospitals and over 200 outpatient and physician offices based out of central Ohio. Motsinger explains that their CDI program is focused on capturing severity of illness and risk of mortality while securing what's not being set in the chart very explicitly to help coders capture accurate diagnoses.

Motsinger shares that by implementing additional workflows while still maintaining high query and review rates, Ohio Health has been able to take on more work from a quality standpoint, with their team putting DRGs in a special calculator to understand variables and track specific quality metrics. Being able to report back on how many queries are impacting quality metrics directly has resulted in significant improvements in Ohio Health's CDI program.

In conclusion, prioritizing queries over review rates and finding ways to efficiently get the right case to the right CDI specialist at the right time can lead to significant improvements in healthcare quality metrics while freeing up bandwidth for second level reviews and other roles. The implementation of AI-powered prioritization tools can help achieve these goals without compromising established success or increasing staff FTEs.

The healthcare industry is facing significant challenges as it navigates economic uncertainties in 2021 and beyond. In a recent Iodine Intelligence podcast, Troy Wasilefsky of Iodine Software, Harold Mueller of BJC Healthcare, and Robin Damschroder of Henry Ford Health discussed strategies for building financial resilience and tackling the financial issues facing the industry.

The pandemic has led to a decline in overall CMI due to both a decrease in medical CMI and surgery volumes that have not yet returned to pre-pandemic levels. Cost-cutting is one approach to stabilize health system economics, but experts have agreed that it cannot be solely relied upon to achieve financial performance targets. Therefore, it is essential for organizations to pursue other strategies such as generating new revenue streams, capturing revenue for existing work, and leveraging technology such as AI.

Organizations can turn to management consultancies to help identify and stabilize their finances while also focusing on cost reduction efforts and growth strategies. Additionally, value-based care contracts incentivize better care coordination, higher-quality outcomes and cost reduction while improving documentation accuracy remains critical for reimbursement optimization and quality factors such as CMS payments.

In conclusion, healthcare organizations face significant challenges as they navigate economic uncertainties require balancing efforts between cost reduction and creating new revenue streams or capturing revenue appropriately for existing work. While there is no one-size-fits-all solution, organizations can leverage their resources and implement strategies such as management consultancies, growth initiatives, and technology to improve their financial resilience and help them face the current economic crisis.

Artificial intelligence (AI) is not just for gamers or factory warehouse robots—it can, quite literally, save lives in the healthcare sector. AI in healthcare can be used to improve diagnostic detection speed for diseases, improve personalization of medical treatments, and automate drug discoveries.

How should healthcare companies be approaching AI use, and what benefits and drawbacks can they expect to see when deploying AI?

On today’s episode of Iodine Intelligence, Empowering Intelligent Care, host Lauren Hickey, Content Strategist at Iodine Healthcare, is joined by Priti Shah, Chief Product & Technology Officer at Iodine Software, to discuss applications for AI in healthcare and how healthcare companies can approach use cases for AI models.

Hickey and Shah also discussed…

• Applications of AI in automation, improving efficiency of judgement, timeliness, and consistency of results
• A framework for guiding questions in approaching AI use
• Real-world examples of how a company might answer questions about their AI

Shah knows AI in healthcare is not the end-all, be-all. “We have to understand that no model is perfect, and you have to choose one balance of false negatives and false positives you can live with.” She suggested, “One of the biggest things people should hone in on is how much data was this AI model trained on, and what is the quality and diversity of that data?”

Priti Shah is Chief Product & Technology Officer at Iodine Software. She is an experienced General Management Executive with more than two decades of experience in revenue growth and market expansion. Before her current role, Shah was Chief Product Officer of Finvi, VP, Product & Solutions at Wolters Kluwer Health, and VP, Product Strategy & Corporate Development, amongst other positions. Shah attended Harvard Business School’s General Management Program and the Rochester Institute of Technology, where she earned an MBA in Marketing & Strategic Management.

Since OpenAI debuted ChatGPT in November of 2022, there has been a ton of discussion on its potential, and the implications on everything from schoolwork to medicine, marketing to law school. Fran Jurack, Iodine's Chief Clinical Strategist discusses ChatGPT's potential in the clinical documentation space and it's limitations.