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AI tools can detect early signs of intimate partner violence

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AI tools flagged intimate partner violence risk in medical records up to four years before patients sought care, research suggests.

The models were built to identify patterns in health records that could point to abuse before someone enrolled in care at a domestic violence treatment centre.

Researchers said the findings suggest AI could support earlier screening and help healthcare providers start conversations about intimate partner violence sooner, though the tools still need broader testing.

The study was led by researchers at Mass General Brigham, working with collaborators at the Massachusetts Institute of Technology in the US.

Bharti Khurana is principal investigator, corresponding and senior author, founding director of the Trauma Imaging Research and Innovation Center and an emergency radiologist in the Mass General Brigham department of radiology.

Khurana said: “Our research offers proof of concept that AI can support clinicians in flagging possible abuse earlier.

“Earlier identification of intimate partner violence and future risk may enable clinicians to intervene sooner and help prevent significant mental and physical health consequences.”

The researchers trained three machine-learning models using electronic medical record data from 673 women who visited a domestic abuse intervention and prevention centre at a US academic health centre between 2017 and 2022, as well as 4,169 demographically matched controls who did not report intimate partner violence.

Electronic medical records are digital versions of a patient’s health history, while machine learning is a type of AI that identifies patterns in data to make predictions.

The three models included a tabular model using structured electronic medical record data such as diagnoses, medications and a social deprivation index based on zip code, a notes model using unstructured clinical notes and radiology and emergency department reports, and a fusion model combining both data types called Holistic AI in Medicine.

When tested on a separate group of 168 patients who visited the intimate partner violence intervention and prevention centre in the same timeframe and 1,043 controls, all three models showed high accuracy. The fusion model performed best at 88 per cent.

Using archived, time-stamped medical records, that fusion model identified 80.5 per cent of cases in advance, on average more than 3.7 years before patients sought care.

The researchers then validated the models using data from two additional patient groups that were not included in the training or testing data, as well as controls, and found similarly high accuracy.

Previous research led by Bharti Khurana found that women who frequently undergo imaging studies in the emergency department and have specific types of injuries are more likely to later report intimate partner violence.

This new AI research identified additional risk factors for intimate partner violence.

People with mental health disorders, chronic pain and frequent emergency department visits were more likely to experience intimate partner violence, whereas patients who regularly accessed preventive services such as mammograms and immunisations had a lower risk.

More than one-third of women and one in 10 men will experience intimate partner violence in their lifetimes, yet people rarely disclose it to health providers because of fear, stigma, or financial or psychosocial dependence on the person abusing them.

The authors said the models were developed and validated in patients who had sought care for or disclosed intimate partner violence, which may limit accuracy in predicting intimate partner violence in people who are less likely to seek care or disclose it to providers.

They also said the control group in the training data may have included false negatives, or patients who were experiencing intimate partner violence but did not report it, which could reduce model accuracy.

Khurana said future training with larger, more diverse patient datasets over longer time periods will improve the model’s accuracy.

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Benchmarking 2027: Shifting priorities in US health infrastructure

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By Women’s HealthX

As healthcare organisations navigate tightening compliance mandates, evolving reimbursement frameworks, and shifting health economics, the single most critical asset for leadership is operational visibility into what their industry counterparts are executing right now.

Ahead of the Women’s HealthX marketplace in Boston this December, a cross-functional steering committee of health plans, hospital networks, biopharma innovators, and enterprise employers has launched the definitive 2026 U.S. Health Infrastructure Survey.

The objective of this brief, multi-state index is to bypass abstract market fluff and map out exactly how the country’s elite healthcare stakeholders are practically structuring their 2027 budgets, clinical protocols, and technology procurement guidelines.

Some of the questions we are asking:

  • Health Plans & Payers “What is the biggest operational barrier to expanding women’s health coverage?”
  • Health Systems & Providers “What is the biggest women’s health priority for health systems over the next 24 months?”
  • Pharma & Life Sciences “What is the biggest commercial hurdle facing women’s health innovation?”
  • Employers & Benefits Leaders “Which women’s health challenge creates the greatest workforce impact?”

By contributing just 60 seconds of your operational insight to the index, you will ensure your specific sector’s parameters are accurately represented.

In return for your participation, you will secure a priority, pre-ordered copy of the completed 30-page intelligence report when the final data drops this September!

See where your direct peer groups are drawing their line in the sand for the upcoming fiscal year.

Contribute 60 seconds and pre-order your national benchmark report

Women’s HealthX 2026 | From Rhetoric to Results

Encore Boston Harbor | December 3-4 2026

Bypass abstract market rhetoric to evaluate real-world health economics, regulatory compliance mandates, and care delivery systems.

Join the region’s foremost health plan medical directors, hospital COOs, biopharma innovators, and enterprise benefits buyers anchoring our 2026 tracks.

Review full agenda

Meet confirmed speakers

Secure your pass

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Women drove 71% of global health workforce growth since 1990 – study

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Women accounted for 71.4 per cent of global health workforce growth between 1990 and 2023, according to a study covering 204 countries and territories.

The global workforce almost tripled over the period, rising from 40.9m to 122.1m workers.

Women represented 68.9 per cent of all health workers in 2023, but remained concentrated in professions that generally offer lower pay and fewer leadership opportunities.

The study analysed 20 groups of specially trained health personnel, including doctors, nurses, midwives, pharmacists, dentists and community health workers.

Between 1990 and 2023, the workforce grew by more than 81m people, including an additional 18.9m nurses and 8.7m doctors.

In 2023, there were 33.2m nurses, 15.1m doctors, 7.6m community health workers, 6.8m pharmacists and pharmaceutical assistants, and 6.1m dentists and dental assistants worldwide.

Women made up 80.7 per cent of nurses, 96 per cent of midwives and 89.5 per cent of community health workers, while fewer than half of doctors were women.

A similar pattern was seen in dentistry and pharmacy, where women were more likely to work as assistants than as dentists or pharmacists.

Megan Knight, lead author of the study and researcher at the Institute for Health Metrics and Evaluation, said: “Women have transformed the global health workforce over the past three decades, but they continue to be concentrated in professions that generally offer lower pay and fewer opportunities for leadership.

“Building stronger health systems will require not only expanding the workforce, but also creating equitable opportunities for career advancement, leadership, and safe, supportive working environments.”

Despite the growth, researchers estimated that an additional 34.4m doctors, nurses, midwives, dentists and pharmacists would be needed to achieve moderate levels of universal health coverage.

Universal health coverage means people can access essential health services without experiencing financial hardship.

The estimated global shortage includes 23.9m nurses and midwives, 7.1m doctors, 1.8m dentists and 1.6m pharmacists.

South Asia had the largest estimated shortages, requiring an additional 2.6m doctors and 10m nurses and midwives to reach the study’s benchmark for moderate universal health coverage.

Sub-Saharan Africa also had substantial shortages. Nursing density was estimated at 14.5 nurses per 10,000 people, compared with 121.8 per 10,000 in high-income countries.

At country level, there were 3.2 nurses per 10,000 people in Chad and 3.3 in Madagascar, compared with 171.7 in Belgium and 161.4 in the US.

Dr Annie Haakenstad, senior author of the study and assistant professor of health metrics sciences at the Institute for Health Metrics and Evaluation, said: “Health workers are the foundation of every health system.

“Although the global workforce has expanded dramatically, millions more doctors, nurses, midwives, dentists, and pharmacists will be needed to ensure people everywhere can access essential health services.

“These findings provide countries with minimum thresholds for planning the workforce needed to strengthen health systems and move toward universal health coverage.”

The study estimated that moderate universal health coverage was associated with minimum workforce densities of 23.8 doctors and 64.5 nurses and midwives per 10,000 people, alongside 5.2 dentists and 5.6 pharmacists per 10,000.

Researchers said closing workforce gaps would require continued investment in education, recruitment, retention and working conditions.

They also highlighted gender-responsive policies, including leadership development, workplace protections, paid parental leave and flexible work arrangements, as measures that could support a predominantly female workforce.

 

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Women using performance-enhancing drugs face major gaps in healthcare support

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Women using PIEDs reported difficulty accessing reliable information, testing and clinical expertise, according to a qualitative study.

Researchers interviewed nine women who used performance- and image-enhancing drugs, primarily to enhance body composition, physical appearance or sporting performance.

Participants reported problems accessing comprehensive blood and hormone testing and finding clinicians familiar with health concerns linked to women’s use of these drugs.

This has been a male-dominated area of research for a long time, so there are significant gaps in understanding women’s health care needs.

The research, led by University of Queensland School of Psychology PhD candidate Hannah Schuurs, explored how the women managed their health while using PIEDs, which include substances such as steroids and peptides.

Schuurs said: “We interviewed nine women who use PIEDs about how they managed their health throughout their PIED use.

“They reported difficulty accessing reliable information and a lack of clinical expertise and formal health care support.

“The study participants were all active in self-monitoring, tracking changes in their bodies, and actively sought formal health care support.

“But they found it hard to access comprehensive blood and hormone testing, or clinicians who were familiar with the unique health concerns associated with women’s PIED use.”

The study found participants spent considerable time educating themselves about the drugs and their potential risks.

“They often found themselves educating healthcare professionals rather than receiving guidance tailored to their circumstances.

Schuurs said: “The participants had spent considerable time educating themselves about PIEDs and their risks and found they were often educating their health care providers, rather than receiving guidance tailored to their circumstances.”

“Structural and systemic barriers shifted a disproportionate level of responsibility for harm reduction and care coordination onto the women themselves.”

Participants were also aware of sex-specific risks, including hormonal disruption and virilisation. Virilisation is when masculine physical traits develop due to high levels of androgens.

However, the women did not necessarily expect healthcare professionals to have all the answers.

Schuurs said: “Participants were often understanding of gaps in clinical knowledge, provided they were met with openness and a willingness to work collaboratively.

“They emphasised that respectful, nonjudgmental health care relationships were just as important as technical expertise.”

The findings also challenged stereotypes that people using PIEDs are uneducated or indifferent to their health.

Participants reported actively managing their health while navigating stigma, uncertainty and gaps in healthcare.

Schuurs said: “The participants actively managed their health and navigated stigma, uncertainty and gaps within health care.”

“We need health care responses that are collaborative rather than judgmental, as those narratives can oversimplify people’s experiences and make it harder for them to seek support.”

She said the research showed PIED use could form part of wider goals relating to health, wellbeing, performance and self-management.

Schuurs said: “Better understanding women’s experiences is critical if we want health care systems to respond effectively and ensure women can access the support they need.”

“There is a real opportunity to improve education, clinical guidance and support for health care professionals in this space that values and draws from the lived experience of women themselves.”

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