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Maya remembered the exact moment she realized she was in over her head.

First week. New job. A midsized New England hospital. Fresh out of grad school with big ideas about patient safety, worker wellbeing, and systems redesign — and absolutely no idea how to make any of it real.

Her supervisor  suggested she joined a Professional Quality association and find her tribe

That night, Maya joined the New England Association for Healthcare Quality.

She almost didn't log into that first webinar. Imposter syndrome has a way of convincing you the room isn't for you. But she did — and something shifted.

A speaker laid out quality assurance, quality control, and quality improvement not as separate disciplines, but as connected threads in a single system. Then came the line Maya says she still thinks about:

"Patient safety and worker safety move together — never apart."

She wrote it down. She didn't yet know why it mattered so much. She would soon.

One month in, two incidents rocked her unit.

A nurse injured her back repositioning a patient without proper lift equipment. Days later, a patient fall was traced to understaffing and rushed transfers.

Everyone around Maya saw two separate problems. She saw one question no one was asking:

What if fixing the workflow fixes both?

She pitched the idea to her manager. Got the green light. And launched her first real quality improvement project — not from a textbook, but from a hunch shaped by her community.

This is where NEAHQ became her accelerator.

Through the mentoring network, Maya connected with a veteran quality leader from across the region. Together, they built a driver diagram. Mapped the transfer workflow. Analyzed incident data. Constructed an improvement storyboard that could actually move leadership.

She also started studying for her CPHQ certification — using NEAHQ's resources to learn the language of improvement, not just the vocabulary of it.

She wasn't just gaining skills. She was gaining confidence.

Here's what nobody tells you about starting over in a new field:

The hardest part isn't the learning curve. It's the loneliness of not yet knowing where you belong.

NEAHQ gave Maya both — the knowledge and the belonging. A mentor who answered her 9pm emails. Peers who'd made the same mistakes. A framework that made her instincts feel legitimate.

She walked in as a novice. She's walking forward as a practitioner with a point of view, a methodology, and a community behind her.

Your tribe is out there. Are you ready to find it?

Even in the face of pressure from Washington, “health equity” is a term still fully ingrained in the day-to-day of hospitals and healthcare providers, at least in New England. In part, pressure from local governments, such as the current 1115 waiver program in Massachusetts, have heavily incentivized health organizations to address health equity gaps by coupling reimbursement to performance in initiatives. Regardless of the theme of the health equity initiative (providing resources for patients with diabetes, improved perinatal health, increased access to behavioral health, etc.) one focus area always seems to find its way to the center of discussion: language access.

The focus is warranted. A 2023 survey from KFF showed that adults with limited English proficiency were more likely to say they are in “fair” or “poor” health than those who are English proficient. What’s more, about a third of adults with limited English proficiency say they have faced language barriers when seeking health care.¹ Without effective communication, any efforts to render additional health services or close care gaps can be stopped dead in their tracks.

For years, many hospitals have chosen to address language access with interpreter vendors and move away from in-person interpreters and translators. Usually through phone or video, these vendors connect non-English speaking patients with medical interpreters and translators. It has, for the most part, worked. However, our hospital was recently commended by Joint Commission surveyors for efforts to make in-person interpreters available.

Finding staff with the right mix of language competencies can be tough. It can be hard to find interpreters who specialize in a particular language need (like Taishanese or Fuzhounese); you may also find multilingual people who are willing to work for your team but are not medical translators. What’s more, the economics of staffing a full-time in-person interpreter may require competence in multiple languages to justify the expense. However, for some hospitals, especially ones serving largely non-English speaking communities, it can be worth it.

Not only do our in-person interpreters elicit great patient feedback for the personal touch, but interpreters can also get around the limitations of iPads or video-assisted interpretive services for patients with difficulty hearing. In-person interpreters can also avoid some of the pitfalls of technology, including loss of Wi-Fi and poorly timed upgrades to devices. Video and phone interpreters are here to stay, but there may be value in keeping some of the old interpreter processes intact.

How do you address language access at your hospital or organization? Please comment and keep the conversation going!

References:

1. https://www.kff.org/racial-equity-and-health-policy/language-barriers-in-health-care-findings-from-the-kff-survey-on-racism-discrimination-and-health/

As part of our ongoing commitment to providing high-quality educational programming for our valued members, the Massachusetts Society for Healthcare Risk Management (MSHRM) is pleased to invite you to our 2026 Spring Education Day and Business Meeting, featuring nationally recognized speaker RaDonda Vaught. We are pleased to share with you our final agenda below. We are offering in person or virtual options.

Ms. Vaught was the subject of one of the highest profile healthcare criminal cases in recent years. She is uniquely qualified to speak first-hand on the impact this event had on her life and her profession, along with the legal implications that followed. A passionate advocate for safety and improvement, her story will be one that is not easily forgotten.

Please forward this invitation to others who may like to attend. If you would like to learn more information about MSHRM, please visit our website and follow us on LinkedIn. 

Please note the fee to park in the garage is $8 for the whole day.  Attached are the directions to UMass Memorial Health - University Campus as well as a Campus Map.  You will park in the South Road Parking Garage highlighted in yellow.  You will then walk to the Sherman building highlighted in pink. You will be already registered with security on the first floor.  The conference will be on the 2nd floor in the auditorium.  There is no eating or drinking in the auditorium but there is atrium where a light breakfast and lunch will be served and there is also a cafeteria after security check in if needed.

This meeting has been approved for a total of 6.25 contact hours of Continuing Education Credit toward fulfillment of the requirements of ASHRM designations of FASHRM (Fellow) and DFASHRM (Distinguished Fellow) and towards CPHRM renewal.

Register here: Massachusetts Society for Healthcare Risk Management - Meeting registration page 1

Each week we hear of a new application for AI in healthcare. Some of the recent applications include AI interpretation of brain scans, better detection of bone fractures, and earlier detection of more than 1,000 diseases.¹ To be sure, the opportunities of AI can feel limitless. Yet, with the golden age of AI upon us, strikingly few people have an answer for how these innovations will impact healthcare in the long-term.

In 2026, it is increasingly difficult to avoid the use of AI. Whether using AI-supported software to help analyze clinical data for reimbursement, or for mundane tasks like summarizing virtual meetings with CoPilot AI, there is little opportunity for a healthcare worker to consent (or not consent) to its use. One corollary to AI’s omnipresence is the legal risk posed to healthcare providers and systems. Emily Olsen for CIOdive.com reports that “more than 40% of medical workers and administrators said they were aware of colleagues using unapproved AI tools” per a Wolters Kluwer survey.² The impacts of these unapproved tools include potential HIPAA violations and increased susceptibility to cyberattacks and data breaches.

However, even before a patient even makes their way to a healthcare provider, AI may have already entered the equation. In an article for Fierce Healthcare, Heather Landi reported that more than 40 million people turn to ChatGPT for health information daily. The use of AI chatbots was flagged by ECRI (a healthcare quality non-profit) as “the most significant health technology risk” in a recent report. In addition to the risk of providing incorrect or incomplete health information to patients, chatbots can also be susceptible biases. “AI models reflect the knowledge and beliefs on which they are trained, biases and all,” [ECRI present and CEO Marcus] Schabacker said. “If healthcare stakeholders are not careful, AI could further entrench the disparities that many have worked for decades to eliminate from health systems.”³

So what can be done to manage this new terrain? The American Medical Association recently released a list of 5 guidelines to ensure AI supports, but does not replace, human decision-making, including staying informed on the legal ramifications of AI use and ensuring that healthcare workers routinely assess AI models to provide better context for AI output. What is unclear, is how these guidelines will be enforced in this new golden age.⁴

Citations:

1. North, M. (2025, August 13). 7 ways AI is transforming healthcare. World Economic Forum. https://www.weforum.org/stories/2025/08/ai-transforming-global-health/
2. Olsen, E. (2026, January 27). Shadow AI use is widespread in healthcare: survey. CIO Dive. https://www.ciodive.com/news/shadow-unauthorized-ai-healthcare/810421/
3. Landi, H. (2026, January 26). ECRI flags misuse of AI chatbots as a top health tech hazard in 2026. Fierce Healthcare. https://www.fiercehealthcare.com/health-tech/ecri-flags-misuse-ai-chatbots-top-health-tech-hazard-2026
4. Smith, T. M. (2024, October 9). Do these 5 things to ensure AI is used ethically, safely in care. American Medical Association. https://www.ama-assn.org/practice-management/digital-health/do-these-5-things-ensure-ai-used-ethically-safely-care