Women's health clinic Tia rolls out Nabla's AI assistant for clinician note-taking
AI-powered note-taking aims to reduce clinician burnout and improve patient care
Women’s healthcare provider Tia has announced a new partnership with Nabla, an AI-powered clinical assistant, to streamline clinical documentation and give providers more time to engage with patients - whether in-person or virtually.
The move follows a successful two-month pilot that saw Nabla’s technology cut clinical note submission times by 50%, enabling Tia’s practitioners to spend less time on paperwork and more time on direct care. Following its success, the system has been rolled out across all Tia clinics and telehealth services. Today, more than 90 Tia clinicians use Nabla, collectively generating over 50,000 clinical notes to date.
Tia’s hybrid model of care - integrating primary care with gynecology, mental health, and wellness services - aims to address systemic gaps in women’s health. Its recent Women’s Integrated Primary Care 2024 Outcomes Report found that nearly half of women aged 18-35 reported negative interactions with healthcare providers, a factor contributing to worsening mental health, lower life expectancy, and inadequate midlife support. Women of colour and LGBTQIA+ individuals, in particular, experience disproportionate healthcare biases and barriers to access.
“Improving provider-patient interactions is at the heart of Tia’s mission,” said Felicity Yost, Tia co-founder and CEO.
“We want our providers to feel inspired by their work and deeply connected to their patients and not buried in administrative tasks. Nabla has given them back that time, allowing us to stay true to our values of gender equity and patient-centered care.”
The AI tool, which transcribes and structures clinical notes in real time, was piloted by 30 Tia providers across seven specialties, including gynecology, acupuncture, psychiatry, preventative medicine, and family medicine.
Addressing bias in healthcare technology
The partnership has also been intentionally designed to address the bias that can exist in healthcare technology. Many AI-driven medical tools have been developed with a narrow range of demographic data, which can lead to inaccuracies and reinforce existing disparities in care. With a lack of diversity in AI development and male-dominant, white perspectives shaping widely used AI models - including in health technology - biases embedded in these systems reflect and amplify existing inequalities, leading to racist and sexist interactions and outcomes.
To counter this, Nabla has incorporated diverse genders, accents, and languages into its training datasets and implemented rigorous evaluations to prevent biased clinical documentation.
“Bias in healthcare technology is a serious issue,” said Delphine Groll, Co-Founder and COO of Nabla.
“From the start, Nabla has ensured that the training datasets for our speech-to-text model include a great diversity of genders, accents, and languages to mitigate bias in clinical documentation. Moreover, our clinical documentation evaluation process includes checks to carefully assess whether facts are wrongly inferred, particularly due to gender biases.”
Healthcare providers adopt AI-driven solutions
Tia’s adoption of AI-driven solutions reflects a growing trend among healthcare providers seeking to integrate technology without compromising human-centered care.
With Tia joining its growing roster of forward-thinking, mission-driven health systems, Nabla is now deployed in over 100 provider groups, including Catalight, Denver Health, Children’s Hospital of Los Angeles, and University of Iowa Health Care.