Build clinically accurate AI systems with expert medical annotation, ICD-10 coding, diagnosis extraction and healthcare NLP datasets.

ICD-10 Annotation for Clinical AI Systems
Srishta Technology provides specialized medical data annotation services designed to support healthcare AI, clinical NLP, medical research and diagnostic intelligence platforms. Our team combines expertise in healthcare data processing, clinical terminology and structured annotation methodologies to create high-quality datasets for machine learning and AI model development.
We help healthcare organizations, AI companies, research institutions and health-tech startups transform unstructured clinical records into accurately labeled datasets that improve model performance, diagnostic accuracy and clinical decision support systems.
Our team has successfully worked on psychiatric and mental health datasets involving detailed clinical record annotation, diagnosis extraction and ICD-10 coding.

Annotation and structuring of psychiatric clinical records to support machine learning, NLP and healthcare analytics applications.
Accurate mapping of clinical diagnoses and medical conditions to ICD-10 classification standards for healthcare AI systems and research datasets.
Identification and annotation of primary diagnoses from clinical notes, patient records, discharge summaries and psychiatric assessments.
Extraction and labeling of secondary diagnoses, comorbidities and associated clinical conditions from complex medical records.
Annotation of physician assessments, clinical observations, treatment rationale, symptom relationships and diagnostic reasoning workflows.
Transformation of unstructured psychiatric records into structured datasets suitable for AI training, predictive analytics and clinical NLP applications.
Our annotation teams have experience working with psychiatric and behavioral health records involving:
Srishta Technology is PhysioNet Verified, demonstrating our ability to work with healthcare and clinical datasets while adhering to established research and data access requirements. This verification reflects our commitment to maintaining professional standards when handling sensitive medical and healthcare information for research and AI development initiatives.
PhysioNet VerifiedSrishta Technology collaborates with IIT research scholars and domain experts to support advanced healthcare AI, clinical NLP, and medical data annotation initiatives. This collaboration enables us to incorporate research-driven methodologies, academic rigor, and industry best practices into our annotation workflows. Combined with our PhysioNet Verified status and healthcare domain expertise, we deliver high-quality, clinically relevant datasets that support the development of accurate and reliable AI systems.
PhysioNet VerifiedWe understand the critical importance of accuracy, confidentiality and compliance in healthcare data annotation projects. Our processes include:
Our medical data annotation services support:
Clinical AI Systems
Healthcare NLP Models
Medical Large Language Models (LLMs)
Diagnostic Decision Support Systems
Electronic Health Record (EHR) Analytics
Medical Research Projects
Healthcare Predictive Analytics
Mental Health AI Platforms
Partner with Srishta Technology to build reliable, clinically accurate and AI-ready healthcare datasets that power the next generation of medical intelligence solutions.
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