Nurse practitioners rate Dama Assist better than other clinical AI tools they use for hormone and menopause care

NPs at the center of menopause care

Female hormone care and menopause care are fundamental to overall health and female lifespan. Menopause affects half the population, yet most physicians receive little or no training on managing it. A tiny fraction of residents feel adequately prepared to manage menopause, and only 31.3% of OB/GYN residency programs report having a menopause curriculum (Allen JT et al. 2023).

Clinicians are often left to seek out additional training, conferences, exams, and tools to develop knowledge and interest in the field. That training and guidance is fragmented - it sits across several societies that do not always agree, while the evidence and clinical opinions are evolving rapidly and have shifted substantially since the WHI headlines. Menopause care in the United States happens in primary care, in women's health practices, and increasingly in independent, specialty, and cash-pay clinics and telehealth practices that nurse practitioners (NPs) own and run. WHNPs working in OB/GYN or urology clinics are often the ones managing every menopause case that comes through the door. It is also often NPs who have the relationship and the trust with the patient, and who are the first to hear about disrupted sleep, libido changes, brain fog, and genitourinary syndrome.

That puts NPs at the center of hormone and menopause care.

Dama Assist is a clinical decision support platform built specifically for female hormone health and menopause care. It consolidates current guidance from major professional societies, including international guidelines, a research database of peer-reviewed evidence and expert consensus, a specialist clinical knowledge layer, a database of 900+ FDA-approved medications with dosing and absorption guidance, and clinical and patient education handouts.

NPs are the superusers of Dama Assist to date, and they use the platform differently from how people assume clinical AI might be used. The pattern is not only a quick lookup and out. It is working through a case: a patient with a contraindication that is not absolute, a symptom picture that does not fit the textbook, a prior formulation that failed. It is building a holistic plan that includes lifestyle changes, counseling the patient on the evidence behind a supplement she wants to try, and generating personalized education handouts and answers to her questions so she can make an informed decision and stay with the plan. It helps them practice high-quality, evidence-based care efficiently, but patient outcomes are the core.

A 2026 study published in Menopause (Karam et al. 2026) evaluating large language model responses on menopause and hormone therapy questions reported accuracy across the models tested around or below two-thirds, despite the same class of models performing strongly on general medical benchmarks. General-purpose clinical AI is typically benchmarked against board-style question sets in which hormone prescribing is under-represented, and benchmark accuracy also leaves unanswered whether a tool addresses a real clinical need, fits inside the visit, and supports rather than displaces clinical judgment. Those questions can only be answered by evaluating the tool in clinical practice, in real workflows, by the clinicians doing the work.

So when we wanted Dama Assist evaluated by clinicians outside the company, going to a nurse-led review body was the obvious choice. We partnered with Nurse Approved to have Dama Assist assessed by a panel of practicing NPs against a structured clinical instrument.

The Nurse Approved certification

Nurse Approved administers a structured product review process in which healthcare products and platforms are assessed by panels of licensed, practicing nurses against a Nurse Quality Score Index (NQSI). Products meeting the threshold are awarded the Nurse Approved Seal. The program is led by Rebecca Love, MSN, RN, FIEL, CEO of Nurse Approved.

Products are scored against criteria drawn from clinical practice rather than technical performance alone. The instrument assesses whether the product:

• is clinically valid, credible, and accurate
• is genuinely clinically usable and addresses a real need
• supports patient safety and clinical judgment
• fits into clinical workflows

In other words, the instrument is built around the judgment a clinician makes before letting anything near their patients: whether the content can be trusted, whether it survives real-life workflow, and whether it makes the care safer and better rather than only faster.

Results

Dama Health commissioned Nurse Approved to evaluate Dama Assist. Nurse Approved recruited a panel of eight nurse practitioners, each holding an active state NP license and each specializing in women's health, hormone replacement therapy, or menopause management. Cumulative clinical experience across the panel was 124 years. Practice settings included independent practices, hospital- and clinic-based settings, and specialty women's health practices. Clinical backgrounds spanned primary care, urgent care, perimenopause and menopause management, functional medicine, and general women's health.

Dama Assist scored 92% on the NQSI metrics that combined clinical validity, clinical usability, clinical need, safety, and confidence to use and workflow design.

Moreover, when participants were asked whether, thinking specifically about hormone health and menopause care, Dama Assist functions differently, better, or worse than clinical AI and reference tools such as OpenEvidence, UpToDate, or general AI, 100% of them answered: “It operates better”.

What NPs said about Dama Assist

Six main themes recurred across the free-text responses.

1. Clinicians are doing research work during patient time. The most frequently described pain point was the movement between guidelines, drug references, patient education materials, and lab references required to complete a single hormone decision. Reviewers framed the cost of this not primarily as lost minutes but as clinical attention diverted away from the patient in front of them.

• "What impressed me most is how consolidated this is. We spend so much time hunting for patient education materials and piecing together dosing protocols. Having it all in one place means I can focus on actually talking to my patients instead of being a research assistant."
• "I value most is the consolidation. Fragmented workflows kill productivity. This pulls everything together, guidelines, meds, patient education into one interface built for how we actually work."
• "User-friendly and would decrease a lot of searching for articles separately, side effects of medication, and education materials for the patient."

2. Confidence, not only efficiency, is the outcome reviewers valued. Clinical decision confidence was valued beyond saving time. One reviewer identified the underlying reason directly: hormone health is a subject in which clinicians are not uniformly confident.

• "It makes me more efficient and, most importantly, more confident in my clinical decisions."
• "For perimenopause and menopause cases, this streamlines everything I was doing manually. My documentation is cleaner, my med selections are more evidence-backed, and I'm not second-guessing dosing anymore."
• "Dama Assist would help maintain patient safety because it would provide up-to-date information and be easily accessible for providers to utilize in clinic, especially on a topic that not everyone is confident in."

3. Specialization is detectable at the level of clinical detail. Reviewers distinguished Dama Assist from general-purpose tools on the basis of specialty depth. The most specific example given concerns a distinction that broad tools frequently collapse.

• "So much more specific. Better article references. Dama actually understands the difference between progestin versus progesterone! I really like the choice to select bioidentical or not."
• "It's a great product - as someone who solely practices women's HRT... I haven't seen any other products that look this thorough."

4. A different category from reference lookup. One reviewer articulated the distinction: established reference platforms are where a clinician goes to retrieve a fact, whereas they can come to Dama Assist when they need support with a more complex hormone case.

• "UpToDate is very reliable, but I usually think of it more as something I go into to look something up rather than something that helps me work through a complicated situation. Dama is giving you the speed and conversational feel of AI, but with a much narrower clinical focus. For me, the value would be if I could ask a messy, real-world hormone question and get help organizing the important considerations without having to search several different places myself."

5. Safety as speed of access at the point of decision. Reviewers linked patient safety less to content quality and AI performance itself, and more to whether the sources were reliable and accessible. The sources and current guidance need to be reachable during the encounter so they can verify it:

• "I think it could help support patient safety because it makes it easier to quickly check contraindications, risk factors, and guideline recommendations when making clinical decisions."
• "The key area of being able to pull in evidence-based practice is important and aligns with patient safety."

6. The decision-support boundary. Reviewers described the appropriate role of the platform, positioning it as support for clinical reasoning rather than a substitute for it. That boundary is a design decision on our side:

• "Dama Assist could save time and help me feel more confident when discussing hormone-related care, while still leaving the final clinical decisions to the healthcare professional."

Conclusion

Demand for menopause and hormone care is growing faster than the specialist workforce. A big part of closing that gap will be empowering NPs, primary care physicians, and OB/GYNs to feel confident managing menopause and hormone care and prescribing hormone therapy. Dama Assist has been designed specifically to address this.

Clinicians are not looking for something that will replace them. They are looking for something they can trust, and that will help them provide high-quality care to more patients. The reason to adopt is whether the tool helps them deliver more personalized care to the woman in front of them, and whether the decisions that follow are better ones, resulting in better patient outcomes.

This matters for systems looking to provide menopause and female hormone care, and for clinicians running a primary care, independent, or specialty practice. When choosing the AI and tech stack, the practical question is not how a model scores on a benchmark, but whether a clinician without a hormone specialist down the hall can reach a defensible, evidence-based decision during the visit, document it, and counsel the patient effectively.

This evaluation measured what eight specialist clinicians judged, not what changed for their patients, and that is exactly why it is a starting point. Our next step is measuring outcomes in clinical workflow: clinical confidence, referral rates, and patient outcomes. We are currently running prospective evaluations of Dama Assist in live clinical settings.

Dama Assist is a clinical decision support platform for female hormone health and menopause care. Learn more and try it out here.