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Article

HIMSS 2026 Recap: It’s a Marathon, and a Sprint

The HIMSS Global Health Conference & Exhibition brings together some of the most influential voices in healthcare to tackle the challenges shaping the future of health IT. Our team got the opportunity to attend this year’s event in Las Vegas, connecting with leaders across the ecosystem, trading ideas, and discovering what’s real versus what’s hype. Discussions spanned AI, data readiness, digital access, and funding realities, often highlighting a central point: progress is being made, though not without friction. Here are a few of the biggest takeaways we gathered from HIMSS 2026. CMS Is Going Digital, but Not Everyone Is Ready One of the most talked-about shifts was CMS’s (Centers for Medicare & Medicaid Services) move toward digital identity and access. With partnerships like ID.me and new requirements for Medicare.gov, CMS is pushing forward on modernizing how patients use services, while many organizations are still catching up. What we’re seeing: Digital identity will become a requirement for accessing key services via the CMS Health Technology Ecosystem Providers will need to support both digital and paper-based identity workflows Questions around privacy, security, and usability are still evolving At the same time, many patients, especially those in underserved or vulnerable populations, still lack access to the tools needed to participate fully in a digital-first system. Takeaway:  The shift to verified digital access brings technical, operational, and patient experience implications that organizations must plan for now. $50b in Funding Doesn’t Guarantee Progress There’s no shortage of investment flowing into healthcare IT, but access to funding and how to use it effectively is far more complicated. Discussions around the Rural Health Transformation (RHT) Program highlighted a critical tension. While the program brings $50 billion in funding over five years to strengthen rural healthcare systems, the path to impact is anything but straightforward. States are using this funding to address a wide range of priorities, from expanding access and strengthening workforce capacity to modernizing infrastructure and enabling new care delivery models. However: Funding is tied to state-specific priorities and pre-defined plans Technology is only one piece of broader transformation efforts Administrative, regulatory, and coordination challenges can slow execution Timelines are aggressive, requiring rapid alignment across stakeholders Takeaway:  Health funding is accelerating change, but a clear strategy and strong execution remain essential. AI Adoption Is Rising. Data Readiness Isn’t. AI continues to dominate the conversation, but the focus is shifting. Last year was about experimentation. This year is about application, particularly around agentic AI and automation. Where we’re seeing traction: Non-clinical use cases like billing, scheduling, and chart abstraction Tools designed to reduce manual effort and improve efficiency Where challenges remain: Most healthcare data — let alone electronic health records (EHRs) — still isn’t structured or standardized enough for meaningful AI use Critical data can live in dozens of different places across systems The need for data transformation is still very real Meanwhile, platforms like Epic are pushing forward with embedded, no-code agentic AI across EHR and ERP systems. This is raising the bar for what “integrated AI” looks like and making it harder for point solutions to compete.  The takeaway here is a familiar one: AI is only as effective as the data behind it. For many organizations, that foundation is still under construction. Smaller Organizations May Have the Biggest Opportunity In a space defined by complexity, speed is starting to matter more than scale. Larger organizations are often navigating layers of regulation, legacy systems, and operational overhead. Smaller organizations don’t carry that same weight, and that creates room to move faster. We’re seeing smaller teams: Adopt new technologies more quickly Test and iterate without large-scale disruption Focus on impact without adding unnecessary complexity Takeaway:  Agility drives progress more than sheer size. Continuing the Conversation Healthcare organizations aren’t standing still, but moving forward requires more than access to technology or funding. It takes alignment across people, processes, and systems. At SEI, we see these moments as opportunities to help organizations turn momentum into measurable progress. We’re grateful to everyone who took the time to connect, share perspectives, and challenge assumptions along the way. If you’re navigating similar questions around digital transformation, AI, data, or operational change, we’re always up for a conversation. Let’s Keep It Going!

AI
Article

Turning Headwinds into Momentum: How Nonprofits Can Thrive Amid Financial Pressures

There’s no denying it: nonprofits across the country are facing a pivotal moment. Federal funding cuts, delayed grants, and economic uncertainty are converging to create a landscape that is both challenging and transformative. For many organizations, these disruptions aren’t just financial — they’re existential. Not only are programs being scaled back, but staff are being let go, and communities are feeling the impact. Yet, within this turbulence lies a unique opportunity. Nonprofit leaders, including executives, board members, and strategic partners, have the opportunity to reimagine how their organizations operate, engage stakeholders, and build long-term resilience. At SEI, we believe that uncertainty, while uncomfortable, can be a powerful catalyst for innovation and growth. The organizations that thrive aren’t the ones that sit back and wait for conditions to improve. Instead, they take a thoughtful approach to adapting to change, reimagining partnerships, and focusing on their most important, impactful outcomes and programs. The Reality of Federal Funding Cuts Federal grants have historically served as a reliable foundation for many nonprofits, particularly those working in housing, education, healthcare, and social services. But recent shifts in federal priorities and budget constraints have led to widespread reductions in funding. In some cases, organizations are waiting on millions of dollars in unpaid contracts for work already completed. In others, entire programs are being shuttered due to a lack of support. On top of this, it’s important to acknowledge that these cuts are occurring at a time when demand for nonprofit services is surging due to economic instability, inflation, and social unrest. The result is a sector under strain. According to the NonProfitTimes, 52% of federally funded nonprofits are experiencing financial instability, with 39% of nonprofits reporting staff reductions, 44% cutting programs, and 45% delaying or canceling initiatives. The ripple effects extend beyond operations. Staff morale is down, community trust is slowly eroding, and long-term sustainability is becoming increasingly uncertain. Strategic Adaptation: Five Imperatives for Resilience In an environment this volatile, strategic planning and adaptation is not optional — it’s essential. Nonprofit leaders must move beyond reactive measures and embrace a proactive, mission-driven approach to resilience. Here are five imperatives that can help organizations navigate the current landscape and position themselves for long-term success. Diversify Support Streams Relying on a single funding stream is no longer sustainable. Federal dollars, while foundational, are increasingly uncertain. Nonprofits that rely heavily on a single source of support, whether that’s federal funding or a handful of major donors, risk significant instability when conditions change. That’s where diversifying support streams comes in. It’s not enough to count on federal funding or hope existing grants will be renewed. Instead, nonprofits must explore alternative sources of funding that align with their mission and values. By developing and deepening ties with individual donors through personalized engagement, building corporate partnerships that align with their values, and creating earned income strategies, such as fee-for-service programs or social enterprises, nonprofits can diversify their support sources. Organizations that can pivot quickly and tap into multiple funding sources are better equipped to weather disruptions and seize new opportunities. Strengthen Donor and Funder Relationships Through Transparency In times of uncertainty, trust is everything, so engage your key donors in an honest conversation. Donors need to understand how funding cuts are affecting your mission, what steps you’re taking to adapt, and where their support can make the greatest impact. Clear, consistent communication not only builds trust but also deepens engagement. Grant-making organizations are also navigating uncertainty. Open, honest conversations can lead to more flexible grant terms, multi-year commitments, and collaborative problem-solving. In addition to sharing your challenges, make sure to discuss your vision and your strategy for resilience. When it comes to illustrating your impact, pair data with stories. Share real-time updates and highlight community voices to demonstrate how donor contributions are driving meaningful change. Collaborate and Advocate Time and time again, humanity has proven the simple truth: there’s strength in numbers. When we come together and work toward a common goal, we persevere and advance. That’s why tapping into your nonprofit ecosystem during times of financial pressure is vital. Collaborating with peer organizations, coalitions, and advocacy networks can extend your reach, amplify your voice, and unlock opportunities that no single group could achieve alone. Working together also allows you to deconflict similar or overlapping programs, enabling each organization to build on the strengths and resources of its partner organizations while doubling down on what they do best. When nonprofits connect, collaborate, and coordinate their efforts, they become stronger. By working together and supporting one another, nonprofits can focus on their most critical offerings and maximize their impact. Reassess Budgets and Prioritize Core Programs Strategic financial planning should always be a top priority, but it’s especially critical in times of uncertainty. Scenario planning prepares nonprofit organizations for multiple funding outcomes, allowing them to make smarter, more informed, and more deliberate decisions about resource allocation. Instead of floundering when funding doesn’t come through as expected, organizations can confidently adjust. While funding cuts and economic uncertainty are undoubtedly challenging, they also create a space for revisiting budgets. You have the chance to streamline your operations, eliminate overlapping initiatives, focus on mission-critical programs, and redirect investments towards what matters most. Plus, a leaner, more focused organization is often a more impactful one. Invest in Technology to Drive Efficiency When resources are scarce, investing in technology might seem counterintuitive. But having the right tools on your backend can actually multiply your capacity. From automating donor engagement to tracking outcomes and streamlining financial management, technology can reduce manual effort, improve reporting, and provide the insights and clarity you need to make informed choices. With the help of the right technology, you can launch conversations with existing donors and open new doors to philanthropic organizations, funding nonprofit transformation. To maximize impact, consider consolidating your tools. All-in-one platforms that support CRM, impact measurement, and financial and resource management can help cut complexity, eliminate redundancies, and reduce costs, all while giving you a more unified view of your entire organization and freeing up staff to focus on more mission-driven work. SEI: Leading Through Uncertainty The challenges facing nonprofits today are real, but they’re not insurmountable. With strategic clarity, bold leadership, and an unwavering commitment to mission, organizations can turn headwinds into momentum. This is a moment to lead with purpose, to innovate with intention, and to build a future that is not only sustainable but transformative. At SEI, we know that the way forward isn’t always easy or even clear. But that doesn’t mean you have to resign yourself to being at the complete mercy of forces outside of your control. With the right perspective, tools, and partners by your side, uncertainty can become an opportunity for growth. For decades, we’ve helped nonprofits just like you navigate complex situations and come out the other side stronger than ever. Ready to turn today’s challenges into incredible opportunities? Let’s talk!

Change Management
Resource

Data Strategy: The Foundation for GenAI Success

Data and a well-defined Data Strategy are crucial to successful GenAI Adoption. At SEI, we believe great AI starts with great data. As organizations accelerate toward a future shaped by GenAI, one truth becomes clear: AI is only as powerful as the data that fuels it.  While many are eager to harness the speed and scale of GenAI to transform how they operate, far fewer have laid the groundwork to do so successfully. The challenge? Most companies are still early in their data maturity journey. Without a strong, trusted data foundation, even the most promising AI initiatives can stall — delivering poor outputs, eroding trust, and putting long-term ROI at risk. Organizations must treat data as a strategic asset to unlock AI’s full potential. That means modernizing legacy systems, improving governance, integrating platforms, and embedding data literacy across every level of the business. It also means aligning AI efforts with core business objectives and building the infrastructure and practices to support scale, security, and sustainability. This case study explores the core data principles and strategic steps organizations must take to move from experimentation to enterprise-grade GenAI. When it comes to AI, good data isn’t just important — it’s everything. Is your Data an Enabler or a Deterrent? We are at an exciting crossroads with AI and GenAI a top priority for organizations across all industries. Here are some key fundamental reasons that make maturing their Data Capabilities crucial. GenAI is Only as Good as the Data It Consumes GenAI models rely heavily on high-quality, relevant, and structured data to generate accurate, valuable, and context-aware outputs. If the input data is fragmented, biased, outdated, or lacks depth, GenAI outputs will reflect those flaws, resulting in poor decisions, hallucinations, or reputational risk. Data Strategy Aligns AI with Business Goals A clear data strategy, with the right Data Governance Framework ensures that GenAI efforts are targeted at high-impact use cases, aligned with organizational priorities. It defines what data matters, who owns it, and how it will be governed, enabling scalable and responsible AI use. Governance and Compliance Are Built on Data Foundations GenAI introduces new risks related to data privacy, security, copyright, and explainability. A mature data strategy embeds governance frameworks to ensure regulatory compliance, ethical AI use, and trustworthy outputs, particularly critical in healthcare, finance, and regulated sectors. Metadata, Context, and Semantics Matter GenAI needs metadata, taxonomies, and knowledge graphs to understand the business context and produce domain-specific results. A strong data strategy helps define and manage this semantic layer, enabling more precise and useful generation. This is critical to ensure trust. Operationalization Depends on Data Infrastructure Deploying GenAI into production requires clean pipelines, data catalogs, feature stores, and APIs. A modern data architecture, enabled by a well thought out data strategy, ensures that GenAI is not just a prototype, but a repeatable, secure, and governed solution. Feedback Loops Require Data to Improve Continuous learning, fine-tuning, and reinforcement mechanisms need labeled data and user feedback. A data strategy ensures the organization has the systems to capture this feedback, close the loop, and refine the GenAI models over time. A deep dive into GenAI… Why is a deliberate Data Strategy an imperative for GenAI success? A Data Strategy should be a precursor to your Gen AI solutions before they are deployed in Production. Failing to do that, may cause challenges that erode trust, cost more and run the risk of getting defunded. Core Data Principles for LLM Performance Optimization Data QualityA well-structured dataset will always yield better results than excessive model tuning. Contextual RelevanceEnsure that the data provided to the LLM is domain-specific and relevant to the business problem. Consistency & StandardizationEstablish data normalization practices to remove inconsistencies across sources. Real-Time Data AccessibilityIf the use case requires dynamic responses, ensure access to fresh and updated data. Bias & Ethical ConsiderationsConduct bias audits and ensure fairness in AI-generated outputs. Making Data Usable, Valuable, and Error-Free Data Ingestion & Processing Identify relevant data sources (structured, semi-structured, and unstructured). Implement ETL (Extract, Transform, Load) pipelines to cleanse and transform data. Use schema-on-read approaches to handle evolving data formats. Data Storage & Management Store unstructured data (text, documents) in vector databases for efficient retrieval. Maintain structured data in a modern data warehouse (e.g., Snowflake, databricks). Enable real-time access via streaming pipelines (Kafka, Apache Pulsar). Data Labeling & Annotation Use human-in-the-loop (HITL) techniques to validate training datasets. Implement automatic entity recognition (NER) for structured metadata extraction. Leverage active learning models to continuously improve data annotations. Fine-Tuning & Retrieval Optimization Fine-tune the model with domain-specific datasets if necessary. Use Retrieval Augmented Generation (RAG) with a vector database to reduce hallucinations. Implement hybrid search (BM25 + dense vector search) to improve query relevance Model Testing & Validation Implement LLM evaluation frameworks (HELLO-SWE, OpenAI’s Evals). Validate model outputs using ground-truth datasets. Track performance metrics (BLEU score, perplexity, retrieval precision). Governance, Security & Compliance Establish LLM usage policies and data governance frameworks. Implement data access controls to prevent leakage of sensitive information. Monitor prompt injections and adversarial attacks for security. Challenges Facing D&A Leaders Today’s leaders are faced with the challenge of delivering AI innovation without clear direction, skilled employees and in-depth understanding of the resources needed to make AI successful. Data is an enabler for AI solutions. Enablement requires: Data strategies to increase data maturity across the organization Data platforms that support scalability, flexibility and acceleration of new solutions Organizational governance and literacy of data supporting business initiatives Pressure to Accelerate D&A leaders are under pressure to deliver results faster, even if the company doesn’t have a clear plan in place. Upskilling Employees Training employees to work with data is difficult due to partial support and data maturity across the organization. AI Knowledge Leaders want to use AI, but there is a gap in understanding what is needed to make it work, including skills, budgets and resources. Evolving Role AI is changing what D&A leaders do. They need to adjust their strategies and ways of working to keep up with growing demands. Data Technologies, Platforms & Frameworks Want easy access to share this case study? Download the PDF here

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