elevating healthcare with robust, AI-based trust & safety solutions
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Trust & Safety in healthcare: ensuring care integrity
Trust & safety is essential in healthcare as AI-driven solutions are thriving. In order to ensure medical AI is safe, ethical, and compliant, you need high data quality, privacy protection, and unbiased model behavior. High-precision medical annotation across clinical text, imaging, diagnostics, and triage models helps protect patients and make the right decisions. Our trust & safety solutions for medical annotations include AI risk assessments, hallucination checks, toxicity and bias detection, and regulatory compliance monitoring.
Together, these capabilities form a robust safety layer that reduces clinical risk, builds patient trust, and ensures AI-enabled healthcare solutions are safe, responsible, and scalable.
Guaranteed outcomes
100% Turn Around Time compliance
99+ % Accuracy
30% Cost optimization
20% Improvement in regulatory compliance
<1% Reprocessing
Medical AI services
Our medical AI annotation, coding and data labeling services deliver high-quality training data essential to develop accurate and trustworthy AI systems. We provide end-to-end annotations across all data types, with support from expert annotators and SMEs. With multi layer quality checks, gold set calibration, and AI assisted pre labeling, we ensure consistent, scalable, and cost efficient outcomes.
Our flexible delivery models and advanced tooling help enterprises validate training data, accelerate AI development while maintaining maximum accuracy, reliability, and trust & safety.
Comprehensive trust & safety for healthcare
Infosys offers a modular, yet integrated, trust & safety solution tailored for healthcare environments. Here are some of our healthcare AI governance and risk management use cases.
- Healthcare social media monitoring
- Telehealth chat interactions
- Health forums moderation
- Detection of privacy violations, harmful medical information, and misinformation
- Ensuring digital integrity of healthcare information
- Review of synthetic content (deepfakes and manipulated medical data)
- Prevention of regulatory violations
- Continuous compliance monitoring aligned with HIPAA, CCPA, PCI DSS, and other healthcare standards
- Alignment with medical standards and legal frameworks
- Adherence to local and regional data protection laws
- Compliance reporting and audit support
- Medical data labeling
- Clinical text annotation
- Ethical AI oversight for automated diagnostics and chatbots
- Clinical documentation integrity (CDI)
- Medical coding and billing
- Anti–money laundering (AML) checks
- Prevention of identity theft and insurance abuse
- Revenue integrity management
- Utilization review
- Cash posting validation
- Denial processing
- Underpayments and clinical appeals management
- Claims review
- Appeals and grievances handling
- Identity validation for medical practitioners and patient access
- Document verification
- Biometric authentication
- Back-end patient collections support
Healthcare T&S value chain
Trust & safety embedded across the healthcare product lifecycle
Infosys integrates trust & safety from concept to continuous operations, ensuring safety is not an afterthought.
More on trust & safety
Learn MoreOur trust & safety services help organizations protect their digital platforms, users and brand reputation by proactively managing risks such as fraud, abusive content, privacy breaches and regulatory non-compliance.
Infosys AI enablement services
Infosys BPM’s Responsible AI services help build trustworthy, ethical and transparent AI systems that mitigate risks such as bias, privacy breaches, misinformation and unpredictable behavior, by embedding principles of fairness, accountability and safety.
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AI safety
AI threat simulatorScan
Threat identification & defense
Improve efficiency and cut your Invoice processing expenses in half.Shield
AI management system
Strengthens AI environments with AI management systems, codified compliance and defenses, responsible AI guardrails, red teaming, and the Infosys Responsible AI agentic framework.
Steer
Responsible AI consulting
Guides long-term Responsible AI adoption through strategy and maturity assessments, responsible AI office setup, RAI consulting, customized frameworks, and AI governance platforms.
Across these three pillars, Infosys provides AI training and change enablement, along with advisory, implementation, and combined delivery models, supported by continuous responsible AI market intelligence and insights.
The Infosys AI threat simulator is an AI testing environment that enables automated red teaming to proactively identify real-world AI risks at scale. It significantly expands prompt coverage and reduces manual testing. Unlike traditional testing, it detects risks such as data leakage, prompt manipulation, tool misuse, prompt injection, and data-poisoning attacks, which are amplified in cloud-based and API-driven AI environments.
Key stats and coverage
- 90% reduction in manual testing
- 97+ attack vectors across technical, process, and human pathways
- 20+ adversarial datasets from leading industry and academic sources
- 5+ governance frameworks covered, including NIST AI RMF, MITRE ATLAS, and the EU AI Act
- 37+ attack strategies to plan, execute, and optimize AI system exploitation
- 35K+ adversarial prompts derived from industry and proprietary research
- Infinite probes generated across diverse AI threat scenarios
More on securing AI systems and ensuring high-quality outputs
Why choose our medical AI trust & safety solutions?
- Annotations are performed by U.S. registered nurses, certified coders, dentists, and radiologists
- Deep understanding of medical terminology, ICD-10, CDT, CPT, and clinical documentation standards
- Proven medical and dental annotation programs supporting payers and providers
- Ability to scale across text, image, audio, video, and sensor data
- Global delivery footprint enabling rapid ramp-up
- Experience supporting large healthcare enterprises requiring high-volume throughput
- Active learning–based pre-annotation reduces manual effort and improves consistency
- Proprietary automation tools for:
- Quality checks
- Transcription
- Translation (160+ languages)
- Data enrichment
- 60–80% productivity improvement through human-in-the-loop (HITL) combined with automation
- HIPAA-aligned workflows
- Leveraging proprietary and partner tools to accelerate annotation with built-in automation and quality controls
Resource center
Challenges and solutions
Our medical AI services are built with enterprise-grade security, featuring strict data de-identification protocols and adherence to HIPAA, CCPA, and global regulatory standards. We embed trust & safety in healthcare from the ground up, ensuring all clinical data used for annotation and model training remains fully secure and auditable.
We utilize a human-in-the-loop (HITL) approach featuring U.S. registered nurses, board-certified coders, and medical SMEs to perform and validate all clinical annotations. This rigorous expert oversight combined with our automated quality checks guarantees 99+% accuracy, establishing the highest level of Trust & Safety in healthcare AI.
Our highly scalable annotation engine processes multi-modality data, including complex clinical text, diagnostic imaging, audio transcripts, and video. By structuring these complex datasets accurately, our Medical AI services help you build robust diagnostic models while maintaining complete Trust & Safety in healthcare.
Partnering with us for your medical AI services typically drives up to 30% optimization in operational costs and a 20% improvement in regulatory compliance. By proactively mitigating model bias and prioritizing trust & safety in healthcare, enterprises avoid costly compliance breaches and safely accelerate their AI time-to-market.
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