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University Communications Needs a Bigger Role in the Research Conversation featured image

University Communications Needs a Bigger Role in the Research Conversation

While attending the Expert Finder Systems International Forum (EFS), several notable themes emerged for me over the 2-day event. It's clear that many universities are working hard to improve their reputation by demonstrating the real-world impact of their research to the public and to funders, but it's proving to be a challenging task - even for the largest R1 universities.  Many of these challenges stem from how institutions have traditionally organized their research functions, management systems, and performance metrics.  Engaging faculty researchers in this process remains a significant challenge, despite the need for rapid transformation. While this EFS conference was very well-organized and the speakers delivered a great deal of useful information, I appeared to be one of the few marketing and communications professionals in a room full of research leaders, administrative staff, librarians, and IT professionals. There's a certain irony to this, as I observe the same phenomenon at HigherEd marketing conferences, which often lack representation from research staff.  My point is this. We can't build better platforms, policies, and processes that amplify the profile of research without breaking down silos.  We need University Communications to be much more involved in this process. As Baruch Fischhoff, a renowned scholar at Carnegie Mellon University, notes: Bridging the gap between scientists and the public “requires an unnatural act: collaboration among experts from different communities” – but when done right, it benefits everyone.  But first, let's dive in a little more into RIM's and Expert Finder Systems for context. What are Research Information Systems (RIMs) Research Information Management systems (aka Expert Finder Systems) are the digital backbone that tracks everything researchers do. Publications, grants, collaborations, patents, speaking engagements. Think of them as massive databases that universities use to catalog their intellectual output and demonstrate their research capacity.  These systems matter. They inform faculty promotion decisions, support strategic planning and grant applications, and increasingly, they're what institutions point to when asked to justify their existence to funders, accreditors, and the public. But here's the problem: most RIM systems were designed by researchers, for researchers, during an era when academic reputation was the primary currency. The game has fundamentally changed, and our systems haven't caught up. Let's explore this further. Academic Research Impact: The New Pressure Cooker Research departments across the country are under intense pressure to demonstrate impact—fast. State legislators want to see economic benefits from university research. Federal agencies are demanding clearer public engagement metrics. Donors want stories, not statistics. And the general public? They're questioning whether their tax dollars are actually improving their lives. Yet some academics are still asking, “Why should I simplify my research? Doesn’t the public already trust that this is important?” In a word, no – at least, not like they used to. Communicators must navigate a landscape where public trust in science and academia is not a given.  The data shows that there's a lot of work to be done. Trust in science has declined and it's also polarized:. According to a Nov. 2024 Pew Research study, 88% of Democrats vs. 66% of Republicans have a great deal or fair amount of confidence in scientists; overall views have not returned to pre-pandemic highs and many Americans are wary of scientists’ role in policymaking. While Public trust in higher education has declined, Americans see universities having a central role in innovation. While overall confidence in higher education has been falling over the past decade, a recent report by Gallup Research shows innovation scores highest as an area where higher education helps generate positive outcomes. Communication is seen as an area of relative weakness for scientists. Overall, 45% of U.S. adults describe research scientists as good communicators, according to a November 2024 Pew Research Study. Another critique many Americans hold is the sense that research scientists feel superior to others; 47% say this phrase describes them well. The traditional media ecosystem has faltered:. While many of these issues are largely due to research being caught in a tide of political polarization fueled by a significant rise in misinformation and disinformation on social media, traditional media have faced serious challenges.  Newsrooms have shrunk, and specialized science journalists are a rare breed outside major outlets. Local newspapers – once a reliable venue for highlighting state university breakthroughs or healthcare innovations – have been severely impacted. The U.S. has lost over 3,300 newspapers since 2005, with closures continuing and more than 7,000 newspaper jobs vanished between 2022 and 2023 according to a Northwestern University Medill Report on Local News. Competition for coverage is fierce, and your story really needs to shine to grab a journalist's attention – or you need to find alternative ways to reach audiences directly.  The Big Message These Trends are Sending We can’t just assume goodwill – universities have to earn trust through clear, relatable communication. Less money means more competition and more scrutiny on outcomes. That's why communications teams play a pivotal role here: by conveying the impact of research to the public and decision-makers, they help build the case for why cuts to science are harmful. Remember, despite partisan divides, a strong majority – 78% of Americans – still agree government investment in scientific research is worthwhile. We need to keep it that way. But there's still a lot of work to do. The Audience Mismatch Problem The public doesn't care about your Altmetrics score. The policymakers I meet don't get excited about journal impact factors. Donors want to fund solutions to problems they understand, not citations in journals they'll never read. Yet our expert systems are still designed around these traditional academic metrics because that's what the people building them understand. It's not their fault—but it's created a blind spot. "Impact isn't just journal articles anymore," one EFS conference panelist explained. "It's podcasts, blogs, media mentions, datasets, even the community partnerships we build." But walk into most research offices, and those broader impacts are either invisible in the system or buried under layers of academic jargon that external audiences can't penetrate. Expert systems have traditionally been primarily focused on academic audiences. They're brilliant at tracking h-Index scores, citation counts, and journal impact factors. But try to use them to show a state legislator how your agriculture research is helping local farmers, or explain to a donor how your engineering faculty is solving real-world problems? There's still work to do here. As one frustrated speaker put it: "These systems have become compliance-driven, inward-looking tools. They help administrators, but they don't help the public understand why research matters. The Science Translation Crisis Perhaps the most sobering observation came from another EFS Conference speaker who said it very plainly. "If we can't explain our work in plain language, we lose taxpayers. We lose the community. They don't see themselves in what we do." However, this feels more like a communication problem masquerading as a technology issue. We've built systems that speak fluent academic, but the audiences we need to reach speak human. When research descriptions are buried in jargon, when impact metrics are incomprehensible to lay audiences, when success stories require a PhD to understand—we're actively pushing away the very people we need to engage. The AI Disruption Very Few Saw Coming Yes, AI, like everywhere else, is fast making its mark on how research gets discovered. One impassioned speaker representing a university system described this new reality: "We are entering an age where no one needs to click on content. AI systems will summarize and cite without ever sending the traffic back." Think about what this means for a lot of faculty research. If it's not structured for both AI discovery and human interaction, your world-class faculty might as well be invisible. Increasingly, you will see that search traffic isn't coming back to your beautifully designed university pages—instead, it's being "synthesized" and served up in AI-generated summaries. I've provided a more detailed overview of how AI-generated summaries work in a previous post here. Keep in mind, this isn't a technical problem that IT can solve alone. It's a fundamental communications challenge about how we structure, present, and distribute information about our expertise. Faculty Fatigue is Real Meanwhile, many faculty are experiencing serious challenges managing busy schedules and mounting responsibilities.  As another EFS panelist commented on the challenges of engaging faculty in reporting and communicating their research, saying, "Many faculty see this work as duplicative. It's another burden on top of what they already have. Without clear incentives, adoption will always lag." Faculty researchers are busy people. They will engage with these internal systems when they see direct benefits. Media inquiries, speaking opportunities, consulting gigs, policy advisory roles—the kind of external visibility that advances careers and amplifies research impact. And they require more support than many institutions can provide. Yet, many universities have just one or two people trying to manage thousands of profiles, with no clear strategy for demonstrating how tasks such as profile updates and helping approve media releases and stories translate into tangible opportunities. In short, we're asking faculty to feed a system that feels like it doesn't feed them back. Breaking Down the Silos Which brings me to my main takeaway: we need more marketing and communications professionals in these conversations. The expert systems community is focused on addressing many of the technical challenges—data integration, workflow optimization, and new metadata standards — as AI transforms how we conduct research. But they're wrestling with fundamental communication challenges about audience, messaging, and impact storytelling. That's the uncomfortable truth. The systems are evolving whether we participate or not. The public pressure for accountability isn't going away. Comms professionals can either help shape these systems to serve critical communications goals or watch our expertise get lost in translation. ⸻ Key Takeaways Get Closer to Your Research: This involves having a deeper understanding of the management systems you use across the campus. How is your content appearing to external audiences? —not just research administrators, but the journalists, policymakers, donors, and community members we're trying to reach. Don't Forget The Importance of Stories: Push for plain-language research descriptions without unnecessarily "dumbing down" the research. Show how the work your faculty is doing can create real-world benefits at a local community level. Also, demonstrate how it has the potential to address global issues, further enhancing your authority.  And always be on the lookout for story angles that connect the research to relevant news, adding value for journalists. Structure Expert Content for AI Discoverability: Audit your content to see how it's showing up on key platforms such as Google Gemini, ChatGPT. Show faculty how keeping their information fresh and relevant translates to career opportunities they actually care about. Show Up at These Research Events: Perhaps most importantly, communications pros need to be part of these conversations. Next year's International Forum on Expert Finder Systems needs more communications professionals, marketing strategists, and storytelling experts in the room. The research leaders, administrators and IT professionals you will meet have a lot of challenges on their plate and want to do the right thing.  They will appreciate your input. These systems are being rapidly redesigned - Whether you're part of the conversation or not. The question is: do we want to influence how they serve our institutions' communications goals, or do we want to inherit systems that work brilliantly for academic audiences but get a failing grade for helping us serve the public?

Peter Evans profile photo
8 min. read
Play, Learn, Lead: How Aston’s Gamification-Driven MBA Is Redefining Business Learning featured image

Play, Learn, Lead: How Aston’s Gamification-Driven MBA Is Redefining Business Learning

Professor Helen Higson OBE of Aston Business School, discusses why gamification is embedded in all of the School's postgraduate portfolio of degrees Give the students something to do, not something to learn; and the doing is of such a nature as to demand thinking; learning naturally results. (attributed to John Dewey, US educational psychologist (1859-1952) Imagine you’re the CEO of a cutting-edge robotics firm in 2031, making high-stakes decisions on R&D, marketing and finance; one misstep and your virtual company could collapse. You win, lose, adapt, and grow. This isn’t a case study, it’s your classroom experience at Aston Business School in Birmingham. Imagine you’re participating in Europe’s biggest MBA tournament, the University Business Challenge, where your strategic flair and financial acumen will be tested against the continent’s sharpest minds. Then you’re solving real-world sustainability crises in the Accounting for Sustainability Case Competition, crafting solutions that could be showcased in Canada. What if you could do all this from your classroom seat, armed with only your MBA learnings, teamwork and the thrill of gamified learning. At Aston, we believe the best way to master business is by doing business. That’s why we’ve embedded active learning through games, simulations, and competitions across all our postgraduate programs. The results? Higher engagement, deeper learning, and students who graduate with confidence and real-world skills. Research says gamified learning boosts motivation, lowers stress, and helps students adopt new habits for lifelong success. As educational researchers Kirillov et al. (2016) found, “Gamification creates the right conditions for student motivation, reduces stress, and promotes the adoption of learning material—shaping new habits and behaviours.” This has led to what Wiggins (2016), calls the “repackaging of traditional instructional strategies”. In Aston Business Sschool we have long embraced this approach as a way of increasing student outcomes and stimulating more student engagement in their learning. Our Centre for Gamification in Education (A-GamE), launched in 2018, is dedicated to advancing innovative teaching methods. We run regular seminars with internal and external speakers showcasing gamification adoption, design and research and we use these techniques across the ABS in a wide range of disciplines. (We have included two examples of this work in our list of references.) Furthermore, in 2021 we published a book which outlines the diverse ways in which we use these methods (Elliott et al. 2021). Subsequently, during 2024 we redesigned all our postgraduate portfolio of degrees, and as part of this initiative games and simulations were embedded across all programmes. Why Gamification Works Through simulations like BISSIM, students step into executive roles, steering futuristic companies through the twists and turns of a dynamic marketplace. A flagship programme running since 1981, BISSIM was developed in collaboration between academics from ABS and Warwick Business School, and every decision on R&D, marketing, or HR has real consequences as teams battle each other for the top spot. After each year of trading the results are input into the computer model. The results are then generated for each company in the form of financial reports, KPIs and other non-financial results and messages. Each team’s results are affected by their own decisions and the competitive actions of the other teams, as well as the market that they all influence. This year one of our academics, Matt Davies, has been awarded an Innovation Fellowship further to commercialise the game. Competitions with Global Impact We also encourage students to take part in national and international competitions which have the same effect of developing their engagement with real-life business problems on a global scale. Beyond the classroom, Aston students represent the university in major competitions like the University Business Challenge (in which ABS had the highest number of UK teams this year) and the Accounting for Sustainability (A4S) Case Competition, for which we are an “anchor business school”. Here, theory gets stress-tested against real-world scenarios and top talent from around the globe. The result? Award-winning teams, global experience, and friendships built under pressure. At the heart of this approach is Aston’s Centre for Gamification (A-GamE), dedicated to making learning interactive, motivating, and fun. Regular seminars, fresh research, and close ties to industry keep the curriculum evolving and relevant, so students graduate ready to lead, adapt, and thrive in any business environment. Why does it matter? In a volatile, fast-paced economy, employers appreciate agility, teamwork and decisiveness. At Aston, every simulation and competition is geared towards sharpening these skills. Graduates emerge not only knowledgeable, but prepared for the job market. Engagement Our students have been embracing these opportunities. Six MBA/Msc teams developed their A4S videos, hoping to reach the final in Canada early in 2025, and three teams out of nine reached the national UBC finals. Additionally, the BISSEM simulation has just finished inspiring another group of MBA students (particularly as the prize for the winning team was tickets to a game at our local Aston Villa premiership football (soccer) club, currently riding high in the league!). Typical feedback from non-Finance specialists is that they suddenly surprised themselves during their participation in the simulation and were reconsidering the options of taking a career in Finance. It seems that our original purposes have been met – increased confidence, passion, deep learning and engagement have been achieved. To interivew Professor Higson, contact Nicola Jones, Press and Communications Manager, on (+44) 7825 342091 or email: n.jones6@aston.ac.uk Elliott, C., Guest, J. and Vettraino, E. (editors) (2021), Games, Simulations and Playful Learning in Business Education, Edward Elgar. Kirillov, A. V., Vinichenko, M. V., Melnichuk, A. V., Melnichuk, Y. A., and Vinogradova, M. V. (2016), ‘Improvement in the Learning Environment through Gamification of the Educational Process’, International Electronic Journal of Mathematics Education, 11(7), pp. 2071-2085. Olczak, M, Guest, J. and Riegler, R. (2022), ‘The Use of Robotic Players in Online Games’, in Conference Proceedings, Chartered Association of Business Schools, LTSE Conference, Belfast, 24 May 2022, p. 79-81. Wiggins, B. E. (2016), ‘An Overview and Study on the Use of Games, Simulations, and Gamification in Higher Education’, International Journal of Game-Based Learning (IJGBL), 6(1), 18-29. https://doi.org/10.4018/IJGBL.2016010102

4 min. read
MSU team develops scalable climate solutions for agricultural carbon markets featured image

MSU team develops scalable climate solutions for agricultural carbon markets

Why this matters: Builds trust in carbon markets. This science-based baseline system dramatically improves accuracy, helping ensure carbon credits are credible and truly reflect climate benefits. Enables real climate impact by accounting for both soil carbon and nitrous oxide emissions, the approach delivers a full, net climate assessment. Scales across millions of acres. Tested on 46 million hectares in 12 Midwest states, this approach is ready for large-scale adoption, helping farmers transition to regenerative practices with confidence and clarity. New research from Michigan State University, led by agricultural systems scientist Bruno Basso, addresses a major problem in agricultural carbon markets: how to set an accurate starting point, or “baseline,” for measuring climate benefits. Most current systems use fixed baselines that don’t account for the soil carbon changes and emissions that would occur if business-as-usual practices were maintained on fields. Such inaccuracies can distort carbon credit calculations and undermine market trust. “The choice of baseline can dramatically influence carbon credit generation; if the model is inaccurate, too many or too few credits may be issued, calling market legitimacy into question,” said Basso, a John A. Hannah Distinguished Professor in the Department of Earth and Environmental Sciences, the Department of Plant, Soil and Microbial Sciences and the W.K. Kellogg Biological Station at MSU. “Our dynamic baseline approach provides flexible scenarios that capture the comparative climate impacts of soil organic carbon, or SOC, sequestration and nitrous oxide emissions from business-as-usual practices and the new regenerative system.” The research, published in the journal Scientific Reports, covers 46 million hectares of cropland across the U.S. Midwest, provides carbon market stakeholders with a scalable, scientifically robust crediting framework. It offers both the investment-grade credibility and operational simplicity needed to expand regenerative agriculture. Regenerative agriculture and carbon markets Regenerative agriculture includes practices like cover cropping, reduced or no tillage, diversified rotations, adaptive grazing and agroforestry. These methods restore soil health, enhance biodiversity, increase system resilience and help mitigate climate change by building SOC and reducing greenhouse gas emissions. Carbon markets offer a promising financial mechanism to accelerate regenerative transitions. By compensating farmers for verified climate benefits, they can act as either offset markets (for external buyers) or inset markets (within agricultural supply chains). However, the integrity of these markets hinges on reliable, science-based measurement, reporting and verification systems that integrate modeling, field data and remote sensing. A breakthrough multi-model ensemble approach To overcome limitations in traditional modeling, the MSU scientists and colleagues from different institutions in the U.S. and Europe deployed a multi-model ensemble, or MME, framework, using eight validated crop and biogeochemical models across 40,000 locations in 934 counties spanning 12 Midwestern states. The MME avoids model selection bias, lowering uncertainty in soil carbon predictions from 99% (with single models) to just 36% (with the MME). “This is a game changer for carbon markets,” said Basso. “It delivers a level of accuracy and scalability — from individual fields to entire regions — that current systems lack.” The MME platform also enables the creation of precalculated, practice-based dynamic baselines, reducing the burden of data collection and easing participation for producers. Improved mitigation assessments Unlike many approaches that consider only SOC, the MSU lead team’s study evaluates both SOC sequestration and nitrous oxide emissions to determine net climate impact. “This comprehensive assessment ensures that carbon credits represent true climate mitigation,” said Tommaso Tadiello, postdoctoral fellow in MSU’s Department of Earth and Environmental Sciences and co-author of the study. “A practice that increases soil carbon may improve soil health,” added Basso, “but it may not deliver actual climate benefits if it simultaneously increases nitrous oxide emissions. Our method provides a full accounting of the net climate effect.” The research team found that the combination of no-till and cover cropping delivered an average net mitigation of 1.2 metric tons of carbon dioxide-equivalent per hectare annually, potentially abating 16.4 teragrams of carbon dioxide-equivalent across the study area. This research was supported by the Michigan Department of Agriculture and Rural Development, U.S. Department of Energy’s Great Lakes Bioenergy Research Center, National Science Foundation Long-Term Ecological Research, Builders Initiative, The Soil Inventory Project, Generation IM Foundation, Walton Family Foundation, Morgan Stanley Sustainable Solutions Collaborative and MSU AgBioResearch.

3 min. read
Georgia Southern researchers survey flood-stricken area of Bangladesh featured image

Georgia Southern researchers survey flood-stricken area of Bangladesh

Cox’s Bazar is a bustling tourist destination located on the southeastern coast of Bangladesh. It’s home to more than 3 million people living along the longest naturally occurring sea beach in the world, extending into the Bay of Bengal. But during the monsoon season, the area is prone to flooding and frequent landslides due to its geographical location and low altitude. More than 7,000 people living in the region were displaced in 2024 after a particularly severe season that destroyed thousands of shelters, leaving three dead. Georgia Southern University Assistant Professor Munshi Rahman, Ph.D., knows the dangers and devastation monsoon season can bring to this area. As a native of Bangladesh, he has witnessed firsthand how environmental changes, urbanization and deforestation contribute to the devastation. This is why he is actively working to help his home country identify the most disaster-prone areas through the use of geographic information systems and surveys. In January, Rahman and junior geoscience major Emma Robinson traveled to Cox’s Bazar to survey and identify the areas most prone to landslides and flooding with a goal of providing data to local government and nongovernmental organizations that could help address disaster risks. Robinson says she was thrilled to gain experience in field research and engage in work she’s passionate about. “Dr. Rahman’s project really inspired me because I’ve always had a drive to help the environment,” she said. “I thought this would be a great first step into research, especially since geology and geography are so closely related.” The two used geographic information systems, GPS and community input to pinpoint vulnerable spots near residential areas and population centers. Specifically, they found that many homes and refugee camps were built on slopes. Aside from being geographically vulnerable, they observed that many of these dwellings, built from bamboo poles, tarps, and corrugated metal, lacked the infrastructure to withstand flooding. “The key findings reveal a serious environmental degradation on local landscapes exacerbating the frequency and severity of landslides and flooding events in the region,” Rahman said. He added that these insights highlight the urgency for sustainable ecosystem management and the adoption of inclusive disaster management to reduce social and environmental vulnerabilities Rahman and Robinson suggest that their findings, combined with additional socioeconomic research, could provide a more comprehensive understanding of the situation on the ground. This would enhance disaster preparedness while promoting sustainable land use. “Not too many undergrads have opportunities like this,” she said. “I know this will help me get a jump-start on my senior thesis and give me a whole new perspective for future research projects. It’s made me more confident overall as a student and researcher.” Rahman is similarly grateful for the opportunity to give his students experience in the field. “As a professor, I’ve always wanted to give my students as much real-world experience as possible,” he said. “I also give Emma full credit. Prior to this trip, she had never traveled outside the U.S. She showed incredible courage and a real talent for research.”

2 min. read
Hiring More Nurses Generates Revenue for Hospitals featured image

Hiring More Nurses Generates Revenue for Hospitals

Underfunding is driving an acute shortage of trained nurses in hospitals and care facilities in the United States. It is the worst such shortage in more than four decades. One estimate from the American Hospital Association puts the deficit north of one million. Meanwhile, a recent survey by recruitment specialist AMN Healthcare suggests that 900,000 more nurses will drop out of the workforce by 2027. American nurses are quitting in droves, thanks to low pay and burnout as understaffing increases individual workload. This is bad news for patient outcomes. Nurses are estimated to have eight times more routine contact with patients than physicians. They shoulder the bulk of all responsibility in terms of diagnostic data collection, treatment plans, and clinical reporting. As a result, understaffing is linked to a slew of serious problems, among them increased wait times for patients in care, post-operative infections, readmission rates, and patient mortality—all of which are on the rise across the U.S. Tackling this crisis is challenging because of how nursing services are reimbursed. Most hospitals operate a payment system where services are paid for separately. Physician services are billed as separate line items, making them a revenue generator for the hospitals that employ them. But under Medicare, nursing services are charged as part of a fixed room and board fee, meaning that hospitals charge the same fee regardless of how many nurses are employed in the patient’s care. In this model, nurses end up on the other side of hospitals’ balance sheets: a labor expense rather than a source of income. For beleaguered administrators looking to sustain quality of care while minimizing costs (and maximizing profits), hiring and retaining nursing staff has arguably become something of a zero-sum game in the U.S. The Hidden Costs of Nurse Understaffing But might the balance sheet in fact be skewed in some way? Could there be potential financial losses attached to nurse understaffing that administrators should factor into their hiring and remuneration decisions? Research by Goizueta Professors Diwas KC and Donald Lee, as well as recent Goizueta PhD graduates Hao Ding 24PhD (Auburn University) and Sokol Tushe 23PhD (Muma College of Business), would suggest there are. Their new peer-reviewed publication* finds that increasing a single nurse’s workload by just one patient creates a 17% service slowdown for all other patients under that nurse’s care. Looking at the data another way, having one additional nurse on duty during the busiest shift (typically between 7am and 7pm) speeds up emergency department work and frees up capacity to treat more patients such that hospitals could be looking at a major increase in revenue. The researchers calculate that this productivity gain could equate to a net increase of $470,000 per 10,000 patient visits—and savings to the tune of $160,000 in lost earnings for the same number of patients as wait times are reduced. “A lot of the debate around nursing in the U.S. has focused on the loss of quality in care, which is hugely important,” says Diwas KC. But looking at the crisis through a productivity lens means we’re also able to understand the very real economic value that nurses bring too: the revenue increases that come with capacity gains. Diwas KC, Goizueta Foundation Term Professor of Information Systems & Operations Management “Our findings challenge the predominant thinking around nursing as a cost,” adds Lee. “What we see is that investing in nursing staff more than pays for itself in downstream financial benefits for hospitals. It is effectively a win-win-win for patients, nurses, and healthcare providers.” Nurse Load: the Biggest Impact on Productivity To get to these findings, the researchers analyzed a high-resolution dataset on patient flow through a large U.S. teaching hospital. They looked at the real-time workloads of physicians and nurses working in the emergency department between April 2018 and March 2019, factoring in variables such as patient demographics and severity of complaint or illness. Tracking patients from admission to triage and on to treatment, the researchers were able to tease out the impact that the number of nurses and physicians on duty had on patient throughput. Using a novel machine learning technique developed at Goizueta by Lee, they were able to identify the effect of increasing or reducing the workforce. The contrast between physicians and nursing staff is stark, says Tushe. “When you have fewer nurses on duty, capacity and patient throughput drops by an order of magnitude—far, far more than when reducing the number of doctors. Our results show that for every additional patient the nurse is responsible for, service speed falls by 17%. That compares to just 1.4% if you add one patient to the workload of an attending physician. In other words, nurses’ impact on productivity in the emergency department is more than eight times greater.” Boosting Revenue Through Reduced Wait Times Adding an additional nurse to the workforce, on the other hand, increases capacity appreciably. And as more patients are treated faster, hospitals can expect a concomitant uptick in revenue, says KC. “It’s well documented that cutting down wait time equates to more patients treated and more income. Previous research shows that reducing service time by 15 minutes per 30,000 patient visits translates to $1.4 million in extra revenue for a hospital.” In our study, we calculate that staffing one additional nurse in the 7am to 7pm emergency department shift reduces wait time by 23 minutes, so hospitals could be looking at an increase of $2.33 million per year. Diwas KC This far eclipses the costs associated with hiring one additional nurse, says Lee. “According to 2022 U.S. Bureau of Labor Statistics, the average nursing salary in the U.S. is $83,000. Fringe benefits account for an additional 50% of the base salary. The total cost of adding one nurse during the 7am to 7pm shift is $310,000 (for 2.5 full-time employees). When you do the math, it is clear. The net hospital gain is $2 million for the hospital in our study. Or $470,000 per 10,000 patient visits.” Incontrovertible Benefits to Hiring More Nurses These findings should provide compelling food for thought both to healthcare administrators and U.S. policymakers. For too long, the latter have fixated on the upstream costs, without exploring the downstream benefits of nursing services, say the researchers. Their study, the first to quantify the economic value of nurses in the U.S., asks “better questions,” argues Tushe; exploiting newly available data and analytics to reveal incontrovertible financial benefits that attach to hiring—and compensating—more nurses in American hospitals. We know that a lot of nurses are leaving the profession not just because of cuts and burnout, but also because of lower pay. We would say to administrators struggling to hire talented nurses to review current wage offers, because our analysis suggests that the economic surplus from hiring more nurses could be readily applied to retention pay rises also. Sokol Tushe 23PhD, Muma College of Business The Case for Mandated Ratios For state-level decision makers, Lee has additional words of advice. “In 2004, California mandated minimum nurse-to-patient ratios in hospitals. Since then, six more states have added some form of minimum ratio requirement. The evidence is that this has been beneficial to patient outcomes and nurse job satisfaction. Our research now adds an economic dimension to the list of benefits as well. Ipso facto, policymakers ought to consider wider adoption of minimum nurse-to-patient ratios.” However, decision makers go about tackling the shortage of nurses in the U.S., they should go about it fast and soon, says KC. “This is a healthcare crisis that is only set to become more acute in the near future. As our demographics shift and our population starts again out, demand for quality will increase. So too must the supply of care capacity. But what we are seeing is the nursing staffing situation in the U.S. moving in the opposite direction. All of this is manifesting in the emergency department. That’s where wait times are getting longer, mistakes are being made, and overworked nurses are quitting. It is creating a vicious cycle that needs to be broken.” Diwas Diwas KC is a professor of information systems & operations management and Donald Lee is an associate professor of information systems & operations management. Both experts are available to speak about this important topic - simply click on either icon now to arrange an interview today.

Decoding the Future of AI: From Disruption to Democratisation and Beyond featured image

Decoding the Future of AI: From Disruption to Democratisation and Beyond

The global AI landscape has become a melting pot for innovation, with diverse thinking pushing the boundaries of what is possible. Its application extends beyond just technology, reshaping traditional business models and redefining how enterprises, governments, and societies operate. Advancements in model architectures, training techniques and the proliferation of open-source tools are lowering barriers to entry, enabling organisations of all sizes to develop competitive AI solutions with significantly fewer resources. As a result, the long-standing notion that AI leadership is reserved for entities with vast computational and financial resources is being challenged. This shift is also redrawing the global AI power balance, with a decentralised approach to AI where competition and collaboration coexist across different regions. As AI development becomes more distributed, investment strategies, enterprise innovation and global technological leadership are being reshaped. However, established AI powerhouses still wield significant leverage, driving an intense competitive cycle of rapid innovation. Amid this acceleration, it is critical to distinguish true technological breakthroughs from over-hyped narratives, adopting a measured, data-driven approach that balances innovation with demonstrable business value and robust ethical AI guardrails. Implications of the Evolving AI Landscape The democratisation of AI advancements, intensifying competitive pressures, the critical need for efficiency and sustainability, evolving geopolitical dynamics and the global race for skilled talent are all fuelling the development of AI worldwide. These dynamics are paving the way for a global balance of technological leadership. Democratisation of AI Potential The ability to develop competitive AI models at lower costs is not only broadening participation but also reshaping how AI is created, deployed and controlled. Open-source AI fosters innovation by enabling startups, researchers, and enterprises to collaborate and iterate rapidly, leading to diverse applications across industries. For example, xAI has made a significant move in the tech world by open sourcing its Grok AI chatbot model, potentially accelerating the democratisation of AI and fostering innovation. However, greater accessibility can also introduce challenges, including risks of misuse, uneven governance, and concerns over intellectual property. Additionally, as companies strategically leverage open-source AI to influence market dynamics, questions arise about the evolving balance between open innovation and proprietary control. Increased Competitive Pressure The AI industry is fuelled by a relentless drive to stay ahead of the competition, a pressure felt equally by Big Tech and startups. This is accelerating the release of new AI services, as companies strive to meet growing consumer demand for intelligent solutions. The risk of market disruption is significant; those who lag, face being eclipsed by more agile players. To survive and thrive, differentiation is paramount. Companies are laser-focused on developing unique AI capabilities and applications, creating a marketplace where constant adaptation and strategic innovation are crucial for success. Resource Optimisation and Sustainability The trend toward accessible AI necessitates resource optimisation, which means developing models with significantly less computational power, energy consumption and training data. This is not just about cost; it is crucial for sustainability. Training large AI models is energy-intensive; for example, training GPT-3, a 175-billion-parameter model, is believed to have consumed 1,287 MWh of electricity, equivalent to an average American household’s use over 120 years1. This drives innovation in model compression, transfer learning, and specialised hardware, like NVIDIA’s TensorRT. Small language models (SLMs) are a key development, offering comparable performance to larger models with drastically reduced resource needs. This makes them ideal for edge devices and resource-constrained environments, furthering both accessibility and sustainability across the AI lifecycle. Multifaceted Global AI Landscape The global AI landscape is increasingly defined by regional strengths and priorities. The US, with its strength in cloud infrastructure and software ecosystem, leads in “short-chain innovation”, rapidly translating AI research into commercial products. Meanwhile, China excels in “long-chain innovation”, deeply integrating AI into its extended manufacturing and industrial processes. Europe prioritises ethical, open and collaborative AI, while the APAC counterparts showcase a diversity of approaches. Underlying these regional variations is a shared trajectory for the evolution of AI, increasingly guided by principles of responsible AI: encompassing ethics, sustainability and open innovation, although the specific implementations and stages of advancement differ across regions. The Critical Talent Factor The evolving AI landscape necessitates a skilled workforce. Demand for professionals with expertise in AI and machine learning, data analysis, and related fields is rapidly increasing. This creates a talent gap that businesses must address through upskilling and reskilling initiatives. For example, Microsoft has launched an AI Skills Initiative, including free coursework and a grant program, to help individuals and organisations globally develop generative AI skills. What does this mean for today’s enterprise? New Business Horizons AI is no longer just an efficiency tool; it is a catalyst for entirely new business models. Enterprises that rethink their value propositions through AI-driven specialisation will unlock niche opportunities and reshape industries. In financial services, for example, AI is fundamentally transforming operations, risk management, customer interactions, and product development, leading to new levels of efficiency, personalisation and innovation. Navigating AI Integration and Adoption Integrating AI is not just about deployment; it is about ensuring enterprises are structurally prepared. Legacy IT architectures, fragmented data ecosystems and rigid workflows can hinder the full potential of AI. Organisations must invest in cloud scalability, intelligent automation and agile operating models to make AI a seamless extension of their business. Equally critical is ensuring workforce readiness, which involves strategically embedding AI literacy across all organisational functions and proactively reskilling talent to collaborate effectively with intelligent systems. Embracing Responsible AI Ethical considerations, data security and privacy are no longer afterthoughts but are becoming key differentiators. Organisations that embed responsible AI principles at the core of their strategy, rather than treating them as compliance check boxes, will build stronger customer trust and long-term resilience. This requires proactive bias mitigation, explainable AI frameworks, robust data governance and continuous monitoring for potential risks. Call to Action: Embracing a Balanced Approach The AI revolution is underway. It demands a balanced and proactive response. Enterprises must invest in their talent and reskilling initiatives to bridge the AI skills gap, modernise their infrastructure to support AI integration and scalability and embed responsible AI principles at the core of their strategy, ensuring fairness, transparency and accountability. Simultaneously, researchers must continue to push the boundaries of AI’s potential while prioritising energy efficiency and minimising environmental impact; policymakers must create frameworks that foster responsible innovation and sustainable growth. This necessitates combining innovative research with practical enterprise applications and a steadfast commitment to ethical and sustainable AI principles. The rapid evolution of AI presents both an imperative and an opportunity. The next chapter of AI will be defined by those who harness its potential responsibly while balancing technological progress with real-world impact. Resources Sudhir Pai: Executive Vice President and Chief Technology & Innovation Officer, Global Financial Services, Capgemini Professor Aleks Subic: Vice-Chancellor and Chief Executive, Aston University, Birmingham, UK Alexeis Garcia Perez: Professor of Digital Business & Society, Aston University, Birmingham, UK Gareth Wilson: Executive Vice President | Global Banking Industry Lead, Capgemini 1 https://www.datacenterdynamics.com/en/news/researchers-claim-they-can-cut-ai-training-energy-demands-by-75/?itm_source=Bibblio&itm_campaign=Bibblio-related&itm_medium=Bibblio-article-related

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5 min. read
Crypto & Digital Assets: Global Risks & Opportunities in 2025 featured image

Crypto & Digital Assets: Global Risks & Opportunities in 2025

The adoption of cryptocurrency and digital assets is expected to increase in all forms this year given the pro-crypto stance of the new Trump administration. Traditional financial institutions and fintech companies are bringing cryptocurrencies to their customers and searching for regulatory and legal clarity. In the video below, J.P. Brennan, Global Head of Fintech, Payments, Crypto Compliance and Investigations, discusses crypto and digital asset risks and opportunities covered in the 2025 J.S. Held Global Risk Report. To view the report and learn more about crypto and digital asset risks and opportunities click on the button below: Looking to know more or connect with J.P. Brennan about the adoption of cryptocurrency and digital assets? Simply click on his icon to arrange an interview today.

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1 min. read
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J.S. Held Experts Examine Crypto’s Pitfalls and Potential

The global cryptocurrency market has surged to a staggering USD 3.4 trillion. However, alongside this rapid expansion, significant challenges and risks continue to emerge. The J.S. Held 2025 Global Risk Report examines the evolving landscape of crypto and digital assets, highlighting both the potential and the pitfalls of this dynamic sector. The explosion of cryptocurrency adoption across industries—from gaming to decentralized finance (DeFi)—has led to increased regulatory scrutiny and security concerns. With the expected growth in the number of users to exceed 107.3 million in the market by 2025, every sector is looking at what crypto and this blockchain technology can do to transform their business. Even the gaming industry has entered the crypto space with bridging services offering “Play-to-Earn” (P2E) games. While anonymity remains a key feature in both the risk and success of cryptocurrency, the concept of “Know Your Customer” on centralized platforms is still required but continues to evolve because not all anonymity is evil. Despite regulatory, environmental, geopolitical, and other business risks, the J.S. Held 2025 Global Risk Report reveals how the crypto industry continues to evolve, offering new opportunities for businesses and investors around: Enhanced Transparency & Security Regulatory Clarity Education & Compliance Digital Identity Solutions “With regulatory frameworks tightening globally—from the European Union’s Markets in Crypto-Assets (MiCA) law to China’s outright ban—the future of crypto remains at a critical inflection point,” observes J.P. Brennan, Global Head of Fintech, Payments, Crypto Compliance and Investigations at J.S. Held. “As the industry matures, the balance between risk mitigation and innovation will shape the next phase of digital asset adoption,” J.P. Brennan adds. J.P. Brennan examines the crypto risks and opportunities outlined in the 2025 J.S. Held Global Risk Report in this video: Cryptocurrency and digital asset risk is just one of the five key areas analyzed in the J.S. Held 2025 Global Risk Report. Other topics include sustainability, supply chain, Artificial Intelligence (AI) and data regulations, and managing cyber risk. If you have any questions or would like to further discuss the risks and opportunities outlined in the report, please email GlobalRiskReport@jsheld.com. To connect with J.P. Brennan, simply click on his icon now. For any other media inquiries - contact : Kristi L. Stathis, J.S. Held +1 786 833 4864 Kristi.Stathis@JSHeld.com

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2 min. read
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Kert Anzilotti, M.D., Appointed President of the Medical Group of ChristianaCare

Kert Anzilotti, M.D., MBA, FACR has been appointed president of the Medical Group of ChristianaCare. Anzilotti has served as interim president since June 2024. He will also continue in his role as system chief medical officer of ChristianaCare. As president of the ChristianaCare Medical Group, Anzilotti will seek to improve every aspect of care for every person the Medical Group touches. He will focus on the optimization of care delivery, strategic visioning, network development, clinical technology implementation and leveraging medical informatics. Anzilotti will continue to develop new care models that transcend settings, promote value-based care and improve the patient experience across the clinical enterprise. Among his priorities are the adoption of population health measures, the embedding of health equity into care delivery and workforce development, further expansion of access points for patients and the continuous enhancement of patient and caregiver experience. “Dr. Anzilotti is exceptionally qualified to lead the Medical Group of ChristianaCare,” said Janice E. Nevin, M.D., MPH, president and CEO of ChristianaCare. “His passion for our mission and vision for the future strength of our Medical Group is unwavering. Since joining ChristianaCare in 2011, Dr. Anzilotti has earned a well-deserved reputation as a thoughtful and collaborative leader.” Anzilotti has served in numerous leadership roles at ChristianaCare, including as chief medical officer, acute care; chair of the Department of Radiology; medical director of Imaging Services; and physician leader of the Neurosciences Service Line. He also previously served as Interim President and CEO for the eBrightHealth ACO with responsibility for physician leadership and network operations. He is board certified in Neuroradiology. “Over the many years I have been at ChristianaCare, I have had the privilege of witnessing the dedication and compassion of my Medical Group colleagues as we served together with love and excellence,” Anzilotti said. “I am honored to lead this incredible, dynamic group that is reshaping the future of care, ensuring everyone we serve can achieve their best health.” Anzilotti earned his medical degree from Jefferson Medical College of Thomas Jefferson University in Philadelphia. He earned his MBA at the University of Delaware, completed the Managing Health Care Delivery Course at Harvard Business School and graduated as Physician Executive Fellow in the Health Management Academy, GE Fellows Program. The Medical Group of ChristianaCare consists of over 2,200 dedicated doctors, nurse practitioners, physician assistants and other caregivers. This highly skilled team delivers exceptional care through ChristianaCare’s community-based primary care and specialty care practices serving Delaware and surrounding states. Additionally, the Medical Group collaborates with ChristianaCare hospitalists to ensure seamless continuity of care for our patients, from primary care to hospital care and back again.

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2 min. read
ExpertSpotlight: Today is Women’s Equality Day featured image

ExpertSpotlight: Today is Women’s Equality Day

Women’s Equality Day on August 26 marks a pivotal moment in history, celebrating the anniversary of the 19th Amendment’s adoption, which granted women the right to vote in the United States. This day is not just a commemoration of past achievements but a call to address the ongoing challenges women face in achieving full equality. From wage gaps and representation in leadership to reproductive rights and gender-based violence, the fight for women’s equality continues to be a crucial issue in today’s society. This topic is significant as it highlights both the progress made and the work still needed to ensure true equality for all women. Key story angles that journalists might explore include: The evolution of women’s rights since the 19th Amendment and the ongoing struggle for gender equality. Current challenges women face in the workforce, including wage disparity and underrepresentation in leadership roles. The role of women in politics and the importance of female representation in government. Intersectionality in the women’s rights movement: how race, class, and other identities intersect with gender. The impact of recent legal decisions and legislation on women’s reproductive rights. Celebrations and events surrounding Women’s Equality Day across the country. This alert emphasizes the importance of reflecting on both historical achievements and current challenges, making it a compelling topic for coverage. Connect with an expert about Women’s Equality Day: To search our full list of experts visit www.expertfile.com

1 min. read