インドの医療保険セクターは転換点を迎えています。これまで医療費請求データは、断片的で一貫性に欠け、紙媒体や、構造化しきれていないデジタル形式で用意されることも多く、自動化の妨げとなり、真のデジタル変革が滞っていました¹。現在は、規制改革、インシュアテックの台頭、より迅速で透明性の高い医療費請求処理に対する期待の高まりを背景に、業界としてデータの標準化とデジタル化の成熟に向けて前進しています。とはいえ、特にインドのような新興市場では、技術面・規制面・インフラ面での大きな課題が依然として残っています。

「Council for Affordable Quality Healthcare（CAQH）の2024年インデックスは、医療における事務管理の非効率性の大きさを示しています。日常的な保険関連取引には年間約900億ドルものコストがかかっており、完全な自動化によって約200億ドルの節減機会があると推計されています。完全に電子化されたワークフローにより、患者1回の受診あたり平均70分を節約し、業務効率、そして患者体験全体を改善します²。」 こうした非効率は、保険金請求処理で特に顕著であり、遅延、誤り、非標準化コーディング慣行が毎年数十億規模のコストを業界にもたらし、保険者と医療機関の双方に不満を生んでいます。医療行為が新たな施術、変化するプロトコル、コード更新により進化する中で、請求査定もそれに応じて複雑性が増します。各臨床上の進歩は、新たな補償判断、書類作成上の細かな要件、価格への影響をもたらし、支払を担う保険者側は現行の標準治療に常に整合させるため、給付ロジック、医学的必要性ルール、保険支払いアルゴリズムの継続的再調整に迫られます。

この複雑化する請求査定に加えて、規制当局の要求も一段と厳格化しています。インド保険規制開発庁（Insurance Regulatory and Development Authority of India、IRDAI）は2024年8月1日から、キャッシュレスの事前承認判断を1時間以内に発行し、病院から退院承認リクエストを受領してから3時間以内に最終承認を付与することを義務付けています。これらの規制当局の時間要件は、審査時間を大幅に圧縮し、手作業による精査への依存を制限します³。その結果による構造的な力学は明確で、臨床の複雑性が増す一方で、処理に使える時間は縮小しています。この現状は、標準化した自動化に適した仕組みなしでは、業務負荷が増大し、判断のばらつきが高まり、支払い過誤等の財務関連リスクを増大させます。保険者は、これに対応すべく、データが欠落した状況でも業務効率を改善できる、より賢いツールやソリューションを積極的に探しています。

本稿では、ミリマンのHealth ClaimsRefのようなルールベースの自動化ツールが、インドの保険者にとって不可欠な手段としてどのように役立ち、医療費請求処理を効率化し、精度を高め、急速に変化する規制・デジタル環境で拡張性のある運用を可能にするのかをお伝えします。さらに、保険者にとっての変革的な利点、インドの保険バリューチェーン全体にわたる主要な自動化の機会、そして業界がデジタル統合へと加速する今こそ導入の決定的なタイミングである理由についてまとめます。

The Indian health insurance sector is at a turning point. Historically, claims data has been fragmented, inconsistent, and often presented in physical or loosely structured digital formats, hindering automation and stalling true digital transformation.¹ Now, with regulatory reforms, the rise of Insurtech, and mounting expectations for faster, more transparent claims processing, the industry is making strides toward data standardization and digital maturity. Despite this progress, significant technical, regulatory, and infrastructural challenges remain, especially in emerging markets like India.

“The Council for Affordable Quality Healthcare (CAQH) 2024 Index highlights the magnitude of administrative inefficiency in healthcare, with routine insurance-related transactions costing nearly $90 billion annually and an estimated $20 billion savings opportunity through full automation. Fully electronic workflows can save an average of 70 minutes per patient visit, improving operational efficiency and the overall patient experience.”² These inefficiencies are particularly evident in claims processing, where delays, errors, and non-standardized coding practices cost the industry billions each year and create frustration for both payers and providers. As medical practice advances with new procedures, evolving protocols, and coding updates, the complexity of claims adjudication correspondingly increases. Each clinical advancement introduces new coverage considerations, documentation nuances, and pricing implications, compelling payers to continuously recalibrate benefit logic, medical necessity rules, and reimbursement algorithms to remain aligned with current standards of care.

Layered onto this growing adjudication complexity are increasingly stringent regulatory expectations. Effective August 1, 2024, the Insurance Regulatory and Development Authority of India (IRDAI) mandates that cashless pre-authorization decisions be issued within one hour and grant final authorization approval within three hours of the receipt of a discharge authorization request from the hospital. These regulatory thresholds significantly compress review windows and limit reliance on manual scrutiny.³ The resulting structural dynamic is clear: rising clinical complexity combined with shrinking processing timeframes. This convergence intensifies operational strain, heightens decision variability, and increases the risk of financial leakage unless supported by standardized, automation-ready frameworks. In response, insurers are actively seeking smarter tools and solutions to improve operational efficiency even amid data gaps.

In this blog, we examine how rules-based automation tools like Milliman’s Health ClaimsRef serve as essential enablers for insurers in India, streamlining claims processing, improving accuracy, and enabling scalable operations amid a rapidly changing regulatory and digital landscape. We delineate the transformative benefits for payers, key automation opportunities across the Indian insurance value chain, and why now is the pivotal moment to adopt as the sector races toward digital integration.

Transformative benefits for insurers

India’s rapidly evolving healthcare landscape, where cost efficiency and timely responses are critical, user-friendly tools like Milliman’s Health ClaimsRef offer an extensive, transparent, adaptable, and clinically grounded framework, built on a structured, evidence-based rules library aligned with the latest medical guidelines, payer policies, and regulatory standards. It contains clinical rules for medical-surgical admissions, outpatient services (including dental and physiotherapy), high-cost investigations, and contractual/utilization rules such as length-of-stay limits and avoidable admissions.

With over 7 million market-tested rules, the library is continuously maintained to reflect updates in coding systems (ICD, CPT, HCPCS), reimbursement structures, regulatory requirements, and evolving clinical guidelines, ensuring that adjudication logic remains current, auditable, and defensible. The clinical component draws from published evidence, recognized guidelines, and industry best practices, providing a standardized, robust backbone for automation. The rules are fully configurable, enabling payers to tailor validations to their specific policies, including network contracts, benefit designs, service limits, authorization thresholds, local coding practices, and internal adjudication protocols. This layered approach delivers operational consistency, regulatory compliance, and defensible decision-making while preserving flexibility for organizational-specific policies.

By implementing such tools, insurers can realize a host of benefits that go beyond simple automation:

• Operational efficiency: Automated checks streamline both the preauthorization and claims settlement processes, reducing manual workloads and speeding up overall turnaround times.
• Improved accuracy and consistency: The use of standardized, evidence-based rules minimizes human error and ensures that every claim is evaluated with the same level of scrutiny and fairness.
• Proactive error detection: Flags incomplete, excessive, or suspicious claims at the earliest stage, enabling timely intervention and manual review where necessary.
• Fraud prevention controls: Supports early detection of potentially fraudulent claims by identifying inconsistencies and anomalous billing patterns through robust rule-based validation. For instance, rules based on the National Correct Coding Initiative (NCCI) Procedure-to-Procedure (PTP) edits prevent inappropriate payment for services that should not be reported together or rules for demographic mismatches, such as codes intended for females that are clinically impossible to apply to a male.
• Continuous training: Promotes standardization and uniformity in business practices. It supports transparent collaboration and continuous training for team members through built-in tools, improving consistency and decision quality throughout the claim’s lifecycle.

As payers build confidence in the benefits of automation, they are increasingly well-positioned to explore new opportunities to leverage technology to optimize claims processing and drive greater efficiency.

Opportunities for automation in the Indian insurance sector

Although full-scale automation comparable to that in mature markets like the United States, Germany, and the United Kingdom may not be immediately achievable in India, given the fragmented provider data ecosystems, variable documentation standards, uneven digital implementations across healthcare institutions, and still-maturing interoperability frameworks, payers can still streamline several critical parts of the claims process. Today, most Indian payers focus on verifying coverage, sum insured, and waiting periods, as well as applying co-pays, sub-limits, exclusions, and exceptions. By automating routine activities such as validation, pricing checks, and utilization reviews, payers can improve accuracy, reduce manual effort, accelerate turnaround times, and strengthen cost control. These incremental steps create a strong foundation for broader automation adoption over time. Some of these opportunities include:

• Eligibility compliance and validation: Automated eligibility checks can instantly verify coverage at the time of service. Matching procedure codes with policy terms ensures benefits compliance, highlights exclusions early, reduces denials, and streamlines claims processing.
• Contract compliance and validation: Automation enables payers to consistently validate network status, apply contract-specific rules (such as service limits and prior authorizations), and detect non-covered services or billing inaccuracies. This creates an opportunity to reduce payment leakage, streamline adjudication workflows, improve compliance, and achieve stronger cost control while maintaining faster turnaround times.
• Billing and pricing validation: Automated comparison of billed amounts against contracted rates ensures accurate reimbursements. Applying service-specific discounts and fee schedules and validating medical and surgical codes helps detect over- or under-billing, reduce pricing errors, and accelerate processing. Standardized billing (ICD, CPT, or ICD-10-PCS) is critical for running any automated checks.
• Clinical and utilization checks: Automation enables clinical rule-based validation to ensure medical appropriateness without extensive manual review. Utilization controls reduce unnecessary services, whereas automated pharmacy benefit checks improve compliance and processing efficiency.
• Fraud detection and controls: Automation can flag suspicious patterns such as duplicate claims, excessive billing, and outlier amounts. These triggers enable targeted investigations and are critical for effective fraud management in high-volume markets like India.

Why now? The timing is critical.

Across global insurance markets, delayed adoption of automation in claims processing has repeatedly translated into higher operating costs, longer settlement timelines, declining customer satisfaction, and increased exposure to fraud. Insurers that continue to rely on manual or fragmented processes often struggle to meet growing expectations for speed and transparency while forfeiting the benefits of advanced analytics that enable earlier identification and prevention of fraudulent activity.

In India’s rapidly evolving insurance landscape, the urgency for automation is becoming even more pronounced. As standardized data formats gain traction and regulatory bodies like IRDAI intensify efforts to expedite claim settlements and enhance policyholder protection, insurers face mounting pressure to modernize their operations.3 In addition, initiatives like Bima Sugam, now fully operational following its 2025 launch, further demand real-time digital integration across stakeholders to unlock transparency and efficiency, leaving insurers that delay at risk of falling behind in the "Insurance for All by 2047" race.^4,5

The current environment offers a unique window of opportunity for Indian insurers since these shifts are raising expectations around speed, transparency, and interoperability. Therefore, making an early investment in automation and standardization is strategically critical. Organizations that invest early in robust automation frameworks will be well-positioned to set industry benchmarks, strengthen operational credibility, and build sustained trust with customers and regulators. Early adopters can also leverage automation to scale operations across eligibility verification, pre-authorization, claims adjudication, fraud detection, and provider reconciliation cost-effectively, adapt quickly to regulatory changes, and stay ahead of competitors as the market continues to evolve and mature. By embracing automation now, forward-thinking insurers can secure a lasting competitive advantage in an increasingly dynamic and demanding marketplace.

Conclusion

As India’s healthcare data infrastructure advances toward greater standardization and digital maturity, solutions for automating claims play a crucial role in accelerating this transformation. By enabling insurers to automate essential elements of claims processing even when data is incomplete or inconsistent, the solutions empower payers to achieve faster settlements, control operational expenses, and enhance customer satisfaction. Early adoption of rules-based automation not only addresses immediate challenges but also positions insurers to seamlessly integrate future innovations in digital health. Those who act now will be well-equipped to lead in an evolving marketplace, setting new benchmarks for efficiency, transparency, and trust in the Indian insurance ecosystem.

¹ Balsari S, et al. (2018, July 13). Reimagining health data exchange: An application programming interface-enabled roadmap for India. Journal of Medical Internet Research. 20(7), e10725. Retrieved January 22, 2026 from https://pmc.ncbi.nlm.nih.gov/articles/PMC6064038/.

² Council for Affordable Quality Healthcare. (2025, February 11). 2024 CAHQ Index Report. Retrieved 12 February 2026 from https://www.caqh.org/blog/new-caqh-index-reveals-20b-savings-opportunity-to-cut-waste-reduce-costs-and-improve-patient-access.

³ Insurance Regulatory and Development Authority of India. Master circular on IRDAI (insurance products) regulations 2024 - health insurance. Retrieved 12 February 2026 from https://actuariesindia.org/sites/default/files/inlinefiles/5.%20Master%20Circular%20on%20Health%20Insurance%20Business%202024.pdf.

⁴ Insurance Regulatory and Development Authority of India. Insurance Regulatory and Development Authority of India (Bima Sugam – Insurance Electronic Marketplace) Regulations, 2024. Retrieved 12 February 2026 from https://irdai.gov.in/document-detail?documentId=4583640.

⁵ Insurance Regulatory and Development Authority of India. (n.d.). IRDAI Annual Report 2024-25. Retrieved 10 February 2026 from https://lifeinscouncil.org/component/IRDAI%20Annual%20Report%202024-25.pdf.