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Opinion

How AI can improve outcomes for childbirth safety

By Karen Kolega, chief nursing officer at PeriGen

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We need to learn to embrace new AI technologies if we want to improve perinatal outcomes.

There are several current threats to perinatal patient safety, a significant one being the nursing shortage and nurse knowledge gap. Healthcare facilities may struggle to maintain adequate nurse to patient ratios, and the majority of caregivers work twelve-hour shifts.

Human factors, such as environmental distractors, cognitive bias, sustained attention, and normalisation of deviance pose ongoing threats to situational awareness. The promotion of situational awareness through the use of an AI-driven early warning system cannot be overstated in the obstetric arena, where concerning trends over time, sometimes subtle, risk being missed.

Many of today’s healthcare technologies utilise AI. AI is a broad umbrella that encompasses the field of developing computers that are capable of simulating human intelligence.  If you had a bucket of AI concepts it would include things such as machine learning, natural language processing, data analytics, predictive analytics and computer vision, among others.

It is important to outline the difference between the concepts of decision-making algorithms and generative analytics. Decision-making algorithms are designed to make optimal decisions based on input data (typically large, if not massive, amounts of data) and a set of predefined rules or criteria. We see this often in healthcare; recommended treatment plans based on input data, for example, patient symptoms, medical history, lab results and imaging results.

Generative analytics, on the other hand, focuses on generating new insights from existing data and is not widely utilised in healthcare. Although the use of generative analytics in healthcare may hold promise, it faces challenges such as the need for large and diverse datasets, validation of the generated outputs, and ethical considerations around data privacy and patient consent.

If you were to take a healthcare AI deep dive, you would find that its implementation and use is growing exponentially and expected to continue to grow at that rapid pace.

As a long -term obstetrics nurse and chief nursing officer for an advanced healthcare technology company in the perinatal space, I am versed in the application of AI to improve childbirth outcomes.

It has been well established that greater than fifty per cent of birth related foetal injury events during labour and delivery are preventable. Of these events there is a sizeable portion that are related to interpretation of the electronic foetal monitor (EFM) tracing. For a system to get different results we must look at redesigning the system. There is currently only one available platform in the US utilising decision-making algorithms for EFM tracing, and the labour progression curve.

This platform uses a colour-coded system to draw attention to concerning trends developing in the foetal tracing, in contraction activity, and the labour progression curve. It is an early warning system for mums and babies.

Early warning systems are broadly used in many (non-obstetrical) service lines in healthcare facilities as a tool identifying patients at risk for deterioration. They bring a general increase in situational awareness to the frontline staff, which in turn promotes earlier recognition, notification and intervention.

The use of early warning systems has demonstrated a reduction in serious safety events. However, early warning systems have yet to be widely deployed in perinatal services lines; this is long overdue.

In the US, when a birthing person is in labour, the vast majority will have a foetal monitor applied to gain a continuous tracing of the foetal heart rate, uterine activity and maternal vital signs. The foetal heart rate tracing produced by the monitor is interpreted by clinicians utilising standardised language for the elements in the tracing.

These elements, when aggregated, lead to classification in three categories; category I defined as normal, category III defined as abnormal, and category II defined as indeterminate. Most birthing patients, eighty-four per cent, will be in category II at some point during their labour. This is problematic as it is an extremely broad category and contains tracings with varying acuity from low concern to high concern.

There has been the development of tools, category II algorithms, to assist in navigating the management of category II tracings.  The Vigilance system utilises a model based on the work of an EFM scientist to classify category II tracings into three distinct colour categories. As automated software it is not dependent on the clinician to take the time to apply the elements in the current foetal tracing to a category II algorithm to determine the severity.

Further, when a birthing person is receiving an oxytocin (Pitocin) infusion, the foetal monitoring tracing must be evaluated and interpreted every fifteen minutes. Application of a category II algorithm would therefore need to be conducted every fifteen minutes while the EFM is demonstrating a category II tracing. This is the perfect example of AI automation and technology’s ability to bring efficiency to repeatable, data driven healthcare workflow cycles.

Interpretation of EFM tracings was historically, and is still currently in many facilities, a human visual interpretation. Therefore, open to human subjectivity. In other words, different highly skilled, experienced clinicians in foetal monitoring may look at the same EFM tracing and have different interpretations. This brings variance into care.

AI-driven technology brings an objective, automated, repeatable interpretation that mitigates the variances in human interpretation. This feature has been significant in supporting improved communication between caregivers.

At this time, we need to embrace new technologies that utilise AI to improve outcomes and focus on further optimisation and the use of data for reporting efficiency. We have to do better. There is no going back.

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News

Why advocacy-orientated CPD matters for the future of cardiology

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By Women As One

At the 2026 Alliance Annual Conference, Women As One presented a poster that asked a powerful question: What if continuing professional development (CPD) did more than teach clinical knowledge— and instead helped shape the future of the workforce itself?

For decades, professional education in medicine has focused primarily on what clinicians know and how they practice. That work remains essential.

But persistent gender gaps across cardiology—from leadership positions to research participation and speaking opportunities—demonstrate that knowledge alone is not enough to ensure equitable advancement.

To truly strengthen the field of cardiology, professional development must also support who clinicians become, the opportunities they access, and the voices that shape the future of cardiovascular medicine.

Our poster, More Than Education: Elevating Equity and Identity Through CPD, explores how a new model of advocacy-orientated CPD can help close these gaps.

Advocacy-orientated CPD expands the traditional model of professional education. In addition to building clinical expertise, it intentionally supports the structural elements that shape career advancement—mentorship, sponsorship, leadership development, visibility, and professional networks.

By integrating these elements into professional education, CPD can become a powerful engine for advancing equity—and ultimately improving patient care.

Why this matters

Gender inequities in medicine are not simply workforce issues. They influence research priorities, clinical trial representation, leadership decision-making, and ultimately the care patients receive.

When women clinicians have equitable opportunities to lead, research, and shape clinical practice, the entire healthcare system benefits.

Yet structural barriers remain. Women physicians often have less access to mentorship, sponsorship networks, and leadership pathways—factors that are critical for career advancement.

This is where advocacy-orientated CPD comes in.

By intentionally designing programs that foster mentorship, build leadership skills, create visibility, and support long-term professional growth, organizations can help ensure that the next generation of cardiovascular leaders reflects the diversity of the patients they serve.

Turning opportunity into impact

Since its founding, Women As One has supported thousands of women cardiologists across more than 100 countries, expanding access to mentorship, research opportunities, and leadership development.

Through programs like CLIMB, RISE, Mentorship Awards, and our global digital community, The Pulse, thousands of women cardiologists have gained mentorship, leadership training, and opportunities that accelerate their careers and expand their influence.

Today, the outcomes of these programs are shaping the field in tangible ways:

  • Women As One alumnae are leading clinical trials and advancing cardiovascular research
  • Clinicians supported through our programs are building registries, launching new care models, and expanding access to specialized care
  • Women cardiologists are gaining greater representation on speaker panels, advisory boards, and leadership pathways
  • A global community of more than 3,000 women cardiologists is strengthening collaboration, mentorship, and visibility across the profession

These outcomes demonstrate what becomes possible when professional development goes beyond traditional education to intentionally support leadership, identity, and community.

A call to the cardiovascular community

Advancing equity in cardiology is not the responsibility of one organization—it requires a collective effort across the entire ecosystem of clinicians, educators, institutions, and industry partners.

For women cardiologists, this means engaging in the programs, mentorship networks, and leadership opportunities that help shape the future of the field. Whether through CLIMB, RISE, research initiatives, or participation in The Pulse community, your involvement strengthens a growing movement dedicated to advancing women in cardiology.

For our partners and supporters, this work demonstrates the powerful impact that strategic investment in equity-focused professional development can have on the workforce and the patients we ultimately serve.

Together, we can redefine what professional development looks like in medicine—not just as a pathway for learning, but as a catalyst for leadership, opportunity, and lasting change.

Explore the poster

We invite you to explore the poster below (click here to download it) to learn more about the evidence, framework, and real-world impact behind this work—and to join us in continuing to expand what professional development can achieve for the future of cardiovascular medicine.

Learn more about Women As One at womenasone.org

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Mental health

What Maternal Mental Health Month reveals about where postpartum support actually breaks down

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By Morgan Rose, chief science officer at Ema, and Lauren Scocozza, vice president of product at Willow

May is Maternal Mental Health Month, and every year it surfaces a familiar set of statistics: 1 in 5 new mothers experiences postpartum depression or anxiety, most go unscreened, and the majority who are screened don’t receive adequate follow-up care.

The conversation is important. But the numbers obscure something that anyone who has worked in this space knows to be true: postpartum mental health distress rarely arrives with a label.

It arrives as exhaustion. As “I’m not sure I’m doing this right.”

As a question about supply, pumping, whether it’s okay to feel this disconnected from something you were supposed to love immediately.

Willow integrated Ema, AI built for women’s health, with the goal of closing the maternal care and data gap.

The pattern mentioned above appears consistently in Ema’s conversational data through the Willow app.

A mother reports mastitis symptoms.

Ema walks her through the clinical presentation, confirms she should keep pumping, and then she questions if she is using her pump correctly. In the same thread, within a few exchanges, she says she’s “feeling too sad.” Then: “I don’t know. I think I’m depressed. I am not enjoying my postpartum.”

She did not come to the app to talk about her mental health.

She came about a breast infection. The mental health disclosure came through the already-opened door.

The Weight Underneath the Technical Question

New motherhood involves an enormous amount of problem-solving at a time when cognitive and emotional reserves are depleted. The pump has to work. The baby has to eat. The body has to recover.

Work comes back. Sleep doesn’t. Feeding their babies requires skill, and the learning curve sits atop it all.

What Ema’s conversation data shows is that the emotional load of navigating these challenges is not separate from mental health. It is mental health.

When a mother writes, “I’m postpartum and overwhelmed and tired,” and then, in the same breath, asks about flange sizing, she is telling us what the postpartum experience actually feels like from the inside.

The technical question and the emotional state are one and the same.

Breastfeeding carries particular weight here.

The desire to breastfeed, the guilt when it doesn’t go as planned, and the identity questions that come with feeding choices are not peripheral to the postpartum mental health conversation.

In our conversations, women navigating supply concerns often reveal deeper anxieties: about whether they are good mothers, whether their bodies are “working,” and whether the difficulty they are experiencing means something about them.

These are the signals worth asking about.

What Screening Looks Like in Practice

Ema is trained on the Edinburgh Postnatal Depression Scale and is equipped to offer the EPDS when a conversation warrants it.

The value is being present for the moment when a woman is ready to name what she’s feeling.

That moment rarely comes as a direct request for mental health support. It comes when someone is already in a conversation about something else, and something shifts.

A woman dealing with mastitis says she feels sad. A woman worried about supply says she doesn’t feel like herself. A woman managing the logistics of going back to work with a wearable pump says she’s not sure she can keep up with it all — and the “it all” isn’t about the pump.

Ema is designed to hear that. She doesn’t stay on the clinical or technical track when the conversation moves. She follows the person.

And when the moment is right, she offers the screening as a natural next step.

In one exchange, a woman was offered the EPDS after disclosing depressive feelings. She declined.

Ema acknowledged that and asked if she wanted to talk about something else. That’s the right response. The offer was made without pressure. The door stays open.

Sometimes what matters most is that someone asked at all.

The Continuity Problem

One of the most persistent structural failures in maternal mental health care is fragmentation.

A woman sees her OB at six weeks postpartum for a brief screening. She may get a call from a nurse. She may be given a referral she never follows up on because she doesn’t have the capacity to navigate a new care relationship while managing a newborn.

The clinical touchpoints are too few, too far apart, and too often siloed from one another.

The postpartum period lasts far longer than the six-week checkup implies. Mental health symptoms can emerge weeks or months after delivery, shift in character over time, and interact with physical challenges in ways that don’t fit neatly into any single provider’s lane.

A lactation concern becomes an anxiety spiral. A supply drop triggers a grief response. A difficult return to work surfaces a postpartum depression that wasn’t fully recognized at six weeks.

Ema sits inside these moments because she’s embedded in the platform women are already using. She doesn’t require a separate appointment, a referral, or the cognitive bandwidth to seek out a new resource.

She’s in the Willow app that mom is already using multiple times a day to manage her pump.

When Ema identifies a woman who may need more support than she can provide, she routes to the right resource — whether that’s a SimpliFed lactation consultant for feeding-related concerns or a clinical professional for mental health follow-up.

The conversation leads to the handoff with someone who can do more.

What the Month of May Means for the Rest of the Year

Maternal Mental Health Month is a useful moment of attention. The awareness campaigns, the social media posts, and the statistics shared in newsletters matter.

But the gap in postpartum mental health care is not really an awareness problem.

Most people in the perinatal space and beyond know the statistics. The problem is access, timing, and continuity.

AI doesn’t close that gap on its own.

What it can do is be present in the spaces where women already are, at the times when they need something, and attentive enough to recognise that a conversation about a pump, a clogged duct, or a supply concern is also a conversation about how someone is doing.

The question behind the question is often the more important one.

For Willow, the conversation data Ema generates is a map of where mothers are struggling, what they reach for when they need help, and when they are ready to say more than they came to say.

That information, used well, shapes better resources, better onboarding, and a more connected experience across the full arc of the postpartum year and beyond.

Building the infrastructure to support maternal mental health is a year-round project.

Willow is doing one part of that, and the conversations happening on the Willow platform every day are evidence that women want support that meets them where they are… in their app, in their moment, without having to ask for it twice.

About the authors

Morgan Rose is Chief Science Officer at Ema, an AI platform for women’s health. Ema partners with healthcare organisations and femtech companies to deliver clinically grounded AI support across the perinatal journey.

Lauren Scocozza is the Vice President of Product at Willow Innovations, Inc. For women by women, Willow is building a maternal care platform to address the interconnected challenges of postpartum.

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Opinion

Femtech’s next chapter: Building a truly equal and comprehensive health tech category

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By Wolfgang Hackl, MD, CEO OncoGenomX, Allschwil, Switzerland

FemTech is moving from a promising niche to a foundational part of modern healthcare.

Over the next decade and beyond, its real promise will not only be better products, but a more equitable system: one where women’s health is treated as an equal area for innovation, investment, clinical care, and public policy.

That shift matters because women’s health has long been under-researched, underfunded, and too often managed through systems that were not designed with female biology and life stages in mind.

The opportunity now is to change that trajectory.

If stakeholders act deliberately, FemTech can become a category that improves outcomes, expands access, and creates measurable value across the HealthTech ecosystem.

From niche to infrastructure

The most important change ahead is a mindset shift. FemTech should no longer be seen as a narrow consumer segment focused only on logging symptoms.

It should be understood as health infrastructure spanning puberty, fertility, pregnancy, postpartum recovery, menopause, pelvic health, chronic disease, mental health, and long-term preventive care.

This broader framing creates a more durable market and a stronger social case. It also encourages innovation that serves people across the full life course, rather than only at highly visible moments.

In practical terms, this means building tools that are clinically relevant, integrated into care pathways, and designed to work for different populations and health systems.

What needs to change

For FemTech to become a truly equal healthcare category and a genuine societal priority, several layers need to move together.

First, the evidence base must deepen. More sex-disaggregated data, more women-inclusive clinical studies, and more research on conditions that disproportionately affect women are essential.

Without stronger evidence, product development, diagnosis, reimbursement, and clinical adoption all remain constrained.

Second, policy and regulation must mature. Privacy protections need to be strong enough to build trust in highly sensitive health data.

Regulatory pathways should be clear enough to help innovators bring safe, effective products to market without unnecessary delay.

Reimbursement frameworks also need to evolve so that useful digital tools are not limited to those who can pay out of pocket.

Third, healthcare systems must become more open to integration. The best FemTech products should not sit outside the care journey as standalone apps.

They should connect with clinicians, diagnostics, telehealth, and care coordination so that patients experience continuity rather than fragmentation.

Finally, society needs a broader cultural shift. Women’s health should be discussed as a mainstream public health and economic issue, not as a side topic or a private concern.

That means normalizing conversations around menopause, miscarriage, postpartum health, chronic pain, infertility, and long-term preventive care.

The role of each stakeholder

A healthier FemTech future depends on the full value chain.

Founders and product teams need to design for clinical relevance, usability, and trust. The strongest solutions will be those that solve real problems, use data responsibly, and fit into everyday life and care.

Investors can help by backing long-term value creation rather than only consumer growth. FemTech deserves capital that supports rigorous validation, regulatory readiness, and scalable business models.

Healthcare providers and systems play a critical role in adoption. By integrating FemTech into clinical workflows, they can reduce delays in care, improve monitoring, and make support more continuous and personalised.

Payers and insurers can accelerate access by recognising the downstream value of early intervention, prevention, and better self-management. Coverage decisions will strongly shape which innovations become standard practice.

Policymakers and regulators should create environments where safety, innovation, and privacy coexist. Clear standards and supportive reimbursement policy can make the difference between isolated success and category-wide growth.

Employers and public institutions also have a role. Women’s health affects productivity, retention, and long-term wellbeing, which means workplace benefits and public programs can help expand access and reduce inequity.

FemTech is not only “women for women.” It is “everyone to solve a health and social issue that has been ignored for far too long.”

When stakeholders across the value chain recognise women’s health as a shared responsibility, FemTech moves from a segmented category to a mainstream force for better outcomes, fairer access, and stronger social impact.

Why the upside is larger than the market

The benefit of getting this right is not only commercial.

Better women’s health tools can improve early detection, support self-management, reduce avoidable complications, and lower the burden on social and healthcare systems.

They can also help close persistent gaps in access and outcomes that affect families, workplaces, and economies.

For HealthTech innovators, this is an opportunity to build products that are both mission-driven and scalable. For health systems, it is a chance to improve care quality and efficiency. For society, it is a way to move women’s health from an afterthought to an equal priority.

Actions that will move the field forward

The right direction will not happen automatically. It requires deliberate action across the ecosystem.

  • Build products around real clinical needs, not only consumer engagement.
  • Invest in women-inclusive research and validation from the start.
  • Design privacy and governance into the product architecture.
  • Create reimbursement models that reward prevention and continuity.
  • Integrate FemTech into mainstream care pathways.
  • Expand education for clinicians, employers, and the public.
  • Expand the category to the invisible concerns to cover the full range of women’s health needs.

When these actions align, FemTech can mature into something larger than a market category. It can become a model for how health innovation should work: evidence-based, inclusive, trusted, and built to improve lives at scale.

A strong FemTech future is not just possible. It is a practical next step if the ecosystem chooses to treat women’s health as what it truly is: a core healthcare priority and a major driver of innovation.

Table: FemTech Focus Areas

FieldApproximate number of active solutions/companies
Reproductive health & fertility120+
Pregnancy & maternal care80+
Menstrual health60+
General women’s health & wellness50+
Diagnostics & monitoring45+
Menopause & perimenopause40+
Pelvic & uterine health30+
Chronic women’s health / integrated care30+
Sexual health & wellness25+

Legend: FemTech is becoming a multi-category healthcare layer. Reports also show that software/apps remain the largest product type overall, while reproductive health continues to dominate as an application area. Best-effort estimates based on category listings, company directories, and market reports, not audited totals.

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