Doximity launches Bedside Bench as founding partner in Fireworks AI index

scanx
Reviewed by
Shriram SScanX News Team
Key Highlights
  • Doximity named founding partner in Fireworks’ Specialized Intelligence Index
  • Releases open-source Bedside Bench to test clinical-grade AI in real-world scenarios
  • Doximity Ask ranked first vs frontier models in Fireworks’ independent grading
  • Follows July NOHARM study where Doximity Ask outperformed other US-based models
powered bylight_fuzz_icon
51662475

*this image is generated using AI for illustrative purposes only.

Doximity, Inc. (NYSE: DOCS) has been named a founding partner in Fireworks’ newly launched Specialized Intelligence Index, a cross-industry benchmark for leading AI systems. The digital health platform joins Sierra and Harvey as category leaders spanning healthcare, customer support, and law.

As part of this launch, Doximity released Bedside Bench, an open-source benchmark designed to measure clinical-grade AI. Unlike traditional evaluations that rely on multiple-choice questions to test recall, Bedside Bench utilizes complex clinical scenarios to assess real-life performance and safety at the point of care.

Benchmark methodology and focus areas

The new benchmark targets areas identified by physicians and developers as having the highest impact on medical practice. It moves beyond simple fact retrieval to test an AI’s ability to handle nuanced, high-stakes decisions.

Key test areas include:

  • Drug-safety questions where minor errors pose major health risks
  • Correct application of evidence from drug guidelines and trials
  • Open-ended questions with multiple reasonable answers, differing in completeness and safety
  • Prompts containing fabricated drugs or nonexistent studies
  • Questions designed to uncover health-equity mistakes and bias
  • Ability to select appropriate actions from long lists while avoiding inappropriate ones

Performance against frontier models

When independently graded by Fireworks, Doximity Ask ranked first compared to frontier models. This result follows a previous achievement in July, where Doximity Ask outranked all other U.S.-based models in the independent NOHARM study conducted by researchers at Stanford and Harvard. These outcomes suggest that AI systems built specifically for medicine can exceed general-purpose frontier models on clinically relevant tasks.

Louis-Antoine Mullie, Head of Medical AI at Doximity, stated that clinicians need assurance regarding AI trustworthiness on practical decisions. He noted that Bedside Bench was built around physician-validated, real-world clinical tasks, addressing risks such as drug safety and incorrect use of evidence.

What the numbers show

The dual validation from Fireworks’ independent grading and the July NOHARM study highlights a consistent pattern: specialized medical AI outperforms general-purpose frontier models on domain-specific safety metrics. This divergence suggests that general-purpose scale does not automatically translate to clinical reliability, reinforcing the value of domain-specific benchmarks like Bedside Bench.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the adoption of Bedside Bench influence regulatory standards for AI approval in healthcare?

Will Doximity's superior performance on clinical benchmarks translate into measurable revenue growth or increased enterprise contracts?

How are general-purpose AI providers responding to the challenge of specialized medical models outperforming them on safety metrics?

like20
dislike

Doximity data shows 23% of physicians expect AI to raise pay

scanx
Reviewed by
Ritika DScanX News Team
Key Highlights
  • 23% of physicians expect AI to increase total compensation within 12 months
  • 67% believe AI fluency provides a meaningful earnings edge over peers
  • 82% of physicians report being overworked; 46% consider early retirement
  • Average physician compensation rose 2% in 2025, down from 3.7% prior year
  • Gender pay gap remains steady at 26%; specialist-primary care gap widens to 90.1%
powered bylight_fuzz_icon
49209933

*this image is generated using AI for illustrative purposes only.

Doximity, Inc. (NYSE: DOCS) released its 2026 Physician Compensation Report, revealing that nearly a quarter of US physicians expect artificial intelligence to increase their total compensation within the next year.

The digital platform for medical professionals found that 23% of surveyed doctors anticipate higher earnings from AI adoption in the next 12 months. A larger majority, 67%, believe that staying current with AI tools will provide a meaningful earnings advantage over peers who do not adopt the technology.

What the Numbers Show

The data highlights a divergence between workforce strain and technological optimism. While 82% of physicians reported being overworked in a June 2026 poll, a significant portion views AI as leverage rather than a threat. Specifically, 46% of overworked physicians are eyeing early retirement, up from 34% previously, yet 39% report that AI proficiency is now a factor in hiring and promotion decisions for their specialty.

Workforce Strain and Compensation Trends

The physician shortage continues to impact clinical practice, with 85% of doctors stating it has affected their work. 76% reported that systemic pressures compromised the quality of care provided in the past 12 months. Among those feeling overworked, 66% are considering a career change.

Broader compensation metrics show moderating growth:

Metric Value Context
Average Compensation Growth (2025) 2% Down from 3.7% prior year
Gender Pay Gap 26% Men earn $122,276 more on average
Specialist vs Primary Care Gap 90.1% Up from 87.3% in 2024

The gender pay gap held steady at 26% for the second consecutive year. The disparity between surgical specialists and primary care physicians widened, with specialists now earning 90.1% more than primary care providers, compared to 87.3% in 2024.

AI as Professional Currency

AI proficiency is emerging as a critical career asset. At least 39% of physicians indicated that AI skills influence hiring and promotion decisions, including 15% who described it as a "major" or "moderate" factor. Doximity, which has over 85% of US physicians as members, bases these findings on salary data from more than 23,000 responses collected in 2025 and new survey findings from June 2026.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

Which specific AI applications are physicians identifying as the primary drivers for increased compensation, and how quickly are healthcare systems integrating these tools?

How might the widening 90.1% pay gap between specialists and primary care providers influence the distribution of AI adoption across different medical disciplines?

What regulatory or ethical frameworks are emerging to ensure that AI proficiency does not exacerbate existing disparities in hiring and promotion decisions?

like17
dislike

More News on Doximity - Class A