Amber Nigam
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Articles by Amber Nigam
Hidden Gatekeepers Behind Healthcare Costs: Utilization Management And Payment Integrity
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with agentic AI. Healthcare costs in the U.S. continue to rise and generally grow faster than inflation. I've found the usual debate tends to focus on drug prices, hospital consolidation, insurance premiums or reimbursement reform. These are important issues, certainly.
Healthcare Uses Specialized Language. It Needs Specialized AI, Too.
by Amber Nigam and John Glaser March 11, 2026 Healthcare has always struggled with translation. Not between English and other languages but between the dialects spoken by different corners of the industry. Radiologists write in precise measurements. Psychiatrists craft narrative assessments. Oncologists think in probabilities and protocols.
Forbes JAPAN 公式サイト（フォーブス ジャパン）
不正・無駄・乱用（FWA）は、歴史的に医療ライフサイクルの最終局面で対処されてきた。請求が支払われ、利用パターンが安定し、損失がすでに織り込まれた後になってから精査が始まることが多い。このやり方は、メディケア・メディケイド・サービスセンター（CMS）がプログラム・インテグリティをどう位置づけているかと、次第に整合しなくなっている。CMSが重視しているのは、下流での回収活動ではなく、より早期の検知と予防である。 私は、メディケアの請求における不正・無駄・乱用の検知について、説明可能でスケーラブルなアプローチの開発に焦点を当てた全国的なチャレンジに参加したエージェント型AIプラットフォームを率いている。この取り組みで浮き彫りになったのは、システム全体で広がりつつある、より大きな変化である。すなわち、長期的なシグナル、利用パターン、そして領域を踏まえた評価を組み合わせ、ライフサイクルの早い段階でリスクを顕在化させるという変化だ。...
FWA Is Shifting Left: Agentic AI's Role In Program Integrity
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with agentic AI. Fraud, waste and abuse (FWA) has historically been addressed at the far end of the healthcare lifecycle. Claims are paid, utilization patterns stabilize and scrutiny often begins after losses are already embedded.
Will 2026 Bring Coherence To Healthcare?
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with agentic AI. For decades, American healthcare has moved like a machine built from mismatched parts: each sturdy on its own, each grinding against the others. Providers push against payers. Payers push against regulators. Regulators push against market forces. And patients sit at the end of the assembly line, hoping the pieces somehow fit.
Forbes JAPAN 公式サイト（フォーブス ジャパン）
アンバー・ニガム氏は、ハーバード発のスタートアップbasys.aiのCEO兼共同創業者で、同社はエージェンティックAIを活用して健康保険プランの事前承認プロセスを効率化している。 2023年、、これは国内総生産のほぼ5分の1に相当する。しかし、全米ヘルスケア不正防止協会の推計によると、「数百億ドル」が毎年不正により失われている。この損失は予算を圧迫するだけでなく、医療の手頃さとアクセスを損なっている。防げるはずの1ドルの損失は、保険適用範囲の拡大、保険料の引き下げ、あるいはコミュニティプログラムの拡充に使えるはずのものだ。 何十年もの間、不正と無駄との戦いは、資金が動いた後の事後対応であることが多かった。監査人や調査官は、サービス提供後に請求を追跡するため、回収が遅れ、支払者と医療提供者の間に摩擦が生じることがある。その結果、患者は保険料の上昇やネットワークの縮小という形で負担を強いられることが多い。...
Beyond Fraud Detection: Agentic AI And Changes In Healthcare Integrity
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with agentic AI. In 2023, the U.S. spent $4.9 trillion on healthcare, almost one-fifth of the country's gross domestic product. Yet, according to estimations by the National Health Care Anti-Fraud Association, "tens of billions of dollars" are lost annually to fraud. This gap does not just drain budgets; it erodes affordability and access.
Separation Of Concerns For Healthcare AI Agents
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. getty The buzz around agentic AI, systems that not only generate text but autonomously take actions, is deafening. From automating clinical documentation to managing prior authorizations, healthcare is racing to embed AI agents into every workflow. Some of this momentum is warranted. Many systems do alleviate administrative burdens.
¿Su empresa debería utilizar un modelo de IA generalista o especializado?
La sabiduría predominante en inteligencia artificial sugiere que los modelos más grandes ofrecen mejores resultados. En nuestro trabajo para compañías de seguros de salud y administradores externos de planes de salud, hemos descubierto que esta suposición se sostiene en muchos casos, pero se desmorona cuando la IA pasa de tareas generales a dominios profesionales especializados.
From Hype To Infrastructure: The Great Compression Of Health AI
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. The generative AI boom in healthcare feels inevitable. Every week, a new vendor promises to reimagine clinical workflows, redefine care management or reshape revenue cycle operations. Billions are pouring into startups, tech giants are repositioning and healthcare incumbents are scrambling to stake their claim.
Fluency Isn’t Intelligence in Healthcare
As two people who have spent careers at the intersection of healthcare delivery and innovation, we have both watched the AI revolution unfold with both excitement and concern. While artificial intelligence promises to transform healthcare, however, we must separate reality from hype to harness its true potential. Let’s be clear: AI in healthcare didn’t start with ChatGPT. For decades, healthcare organizations have been using machine learning and pattern recognition to assist medical professionals.
Clinicians And Algorithms: Misconceptions By Healthcare AI Companies
Amber Nigam is CEO and co-founder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. Healthcare has long served as the ultimate litmus test for artificial intelligence (AI). The promise is enticing: streamlined workflows, improved outcomes and reduced costs.
Council Post: Healthcare Trends Shaping 2025 And Insights For Industry Leaders
Amber Nigam is CEO and co-founder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. As 2025 begins, the healthcare sector stands on the cusp of transformative change. From embracing cutting-edge technologies to addressing systemic challenges, healthcare leaders face a pivotal moment to shape the industry's future.
SCAN Group: It's Time for a Healthtech Moonshot
Our healthcare system badly lags other industrialized nations in terms of what we spend and the outcomes we achieve, and the culprit is fairly obvious: we spend five times our peer nations on administrative expenses. How bad is it? Our doctors still rely heavily on faxes — yes, faxes — for communications. Killing fax machines won't solve the problem, of course.
Council Post: Medicare Advantage Auditing: A Field Guide To Outpacing AI Bias And Protecting Patient Care
Amber Nigam is CEO and co-founder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. Findings from a U.S. Senate investigation released in October described a troubling pattern in Medicare Advantage plans.
How I addressed racial bias in my company's AI algorithm
3 hours ago Startup CEO says humans won't be needed for translation in 3 years as it launches AI app LISBON — Unbabel on Wednesday announced a translation service powered by artificial intelligence, adding another rival to a highly competitive space … 2 hours ago Stop Paying for Midjourney! This Free AI Image Generator is Incredible In the rapidly evolving world of AI image generation, finding a cost-effective solution that delivers high-quality results can be a challenge.
Council Post: Generative AI And Clinical Decision Support
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. A few years ago, artificial intelligence (AI) promised to reshape clinical decision support (CDS) in healthcare, but these expectations largely met with underwhelming results. As someone leading a healthtech company with a platform that supports clinical decision-making, I know this disappointment firsthand.
Council Post: True North Or True Mess? Keeping Your Authenticity Intact In Leadership
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. In the crowded discourse of leadership, particularly around authenticity, the advice can feel overwhelming and repetitive.
Council Post: The AI Revolution In Healthcare: How Legacy Providers Can Adapt
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. The healthcare industry is notoriously complex, characterized by an intricate web of processes that ensure patients receive the care they need while organizations maintain efficiency and compliance. Despite technological advancements, healthcare providers still grapple with significant operational burdens.
Council Post: Evaluating AI Startups: Finding The Novel And Necessary In All The Noise
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. The explosive growth and potential of artificial intelligence is undeniable. However, the hype surrounding AI has made it increasingly difficult for investors to distinguish truly innovative startups from those merely riding the wave. What Is "Novel"? In the AI race, staying ahead requires more than just leveraging the latest models.
Council Post: How Large Language Models Are Putting Skin In The Healthcare Game
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. The intersection of healthcare and technology is witnessing a quiet revolution driven by the integration of large language models (LLMs). As a leader of a company that helps streamline workflow efficiency for health plans through generative AI, I've seen firsthand how these technological systems are proving to be more than mere novelties.
Council Post: State Of The Pharma Industry: Present And Future
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. The pharmaceutical industry is at a significant crossroads, characterized by substantial innovation and ongoing discussions regarding drug access and cost. As the industry evolves, a mix of new therapeutic developments and changing health policies is reshaping its landscape.
Council Post: How Prior Authorization Reforms Can Help Value-Based Care
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. I believe that realizing value-based care (VBC) has significant potential, and companies that effectively coordinate care between payers and providers and align incentives will be at the forefront of this change.
Council Post: Disruption And Change: Healthcare Trends And Predictions For 2024
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. The healthcare industry saw significant changes in 2023, setting the stage for an equally dynamic 2024. Here, I would like to explore key trends and predictions reshaping healthcare—from policy changes to ownership shifts—financial challenges to pharmaceutical developments.
Council Post: Generative AI: The Next Frontier Of Healthcare
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. Imagine artificial intelligence calling your doctor on your behalf to assist you in real-time, analyzing biodata from remote sensors, sending updates to your physician, managing insurance approvals and even arranging for your prescription to be ready for pick-up at your local pharmacy.
Council Post: 5 Considerations For Health Plan Leaders Using AI-Enabled Prior Authorization And Utilization Management
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. Health plan leaders uphold responsible guardrails that enable affordable and quality care. However, with the rising cost of healthcare in the United States, this can be challenging. Two essential tools for overcoming this challenge are utilization management (UM) and prior authorization (PA).
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