elevating healthcare with robust, AI-based trust & safety solutions
Know more
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 AI annotation and clinical data services across clinical text, imaging, diagnostics, and triage models help protect patients and support the right decisions. Our trust & safety solutions for medical annotations include AI risk assessments, hallucination checks, toxicity and bias detection, and regulatory compliance monitoring.
Our medical safety solutions and clinical data services reduce clinical risk, build patient trust, and ensure AI-enabled healthcare is 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 healthcare organizations validate training data, accelerate AI development while maintaining maximum accuracy, reliability, and trust & safety, ultimately enhancing patient outcomes.
Comprehensive trust & safety for healthcare
Infosys BPM offers modular, integrated medical safety solutions and healthcare compliance outsourcing tailored for healthcare AI environments, spanning content moderation, regulatory compliance, annotation, fraud prevention, and identity management.
- Healthcare social media monitoring
- Telehealth chat interactions
- Health forums moderation
- Detection of privacy violations, harmful medical information, and misinformation is essential for maintaining patient safety and improving patient outcomes.
- Ensuring digital integrity of healthcare information
- Review of synthetic content (deepfakes and manipulated medical data)
Healthcare compliance outsourcing that manages HIPAA, CCPA, and global regulatory requirements across clinical data, annotation, and AI model training, so compliance stays continuous and auditable.
- 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) is crucial for ensuring patient safety and improving clinical outcomes.
- 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.
| Our experience | Our investments | Platforms & partners | Core services |
|
|
|
|
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, thereby enhancing patient safety and organizational efficiency. 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 can adversely impact patient care and safety culture.
- 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 - trust & safety in healthcare
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 use a human-in-the-loop approach with U.S. registered nurses, board-certified coders, and medical subject-matter experts to perform and validate every clinical annotation. Combined with automated quality checks, this expert oversight delivers consistently high accuracy, establishing strong trust and safety in healthcare AI and reducing model risk.
Our scalable annotation engine processes multi-modality data: clinical text, diagnostic imaging, audio transcripts, and video. By structuring complex datasets accurately through medical AI annotation, we help enterprises build reliable diagnostic and triage models while maintaining trust and safety in healthcare across every data type.
Clinical data services span data de-identification, medical AI annotation and labeling, clinical NLP, medical records review, and quality validation by clinical experts. Delivered as a managed service, they turn unstructured clinical data into training-ready, compliant datasets, so healthcare enterprises accelerate AI development without building annotation capability in house.
Partnering for medical AI annotation and trust and safety typically improves operational cost efficiency and regulatory compliance while reducing model bias and rework. By preventing costly compliance breaches and accelerating safe AI time-to-market, enterprises realise value faster than building and governing clinical annotation internally.
Request for services
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better.
All the fields marked with * are required
