Case Study: Major Healthcare Company achieves enhanced oncology research and HIPAA‑compliant NLP datasets with Shaip

Oncology Data Precision: Licensing, De-identification, & Annotation for NLP Model Innovation

Major Healthcare Company engaged Shaip to support a pivotal oncology research initiative that required processing large volumes of complex clinical notes while strictly preserving patient privacy. The customer needed an advanced NLP-ready dataset—balancing detailed entity and negation labeling with HIPAA-compliant de-identification—so Shaip provided Data Collection, De-identification, and Complex Annotation Services to meet those needs.

Shaip curated data from its 5M+ EHR repository, applied HIPAA Safe Harbor de-identification, and delivered 10,000 high-quality de-identified labeled records with rigorous QA—including negation labeling across ~9,000 pages, oncology relationship mapping on ~4,500 pages, and NER/relationship mapping on ~1,223 pages. The resulting dataset enabled the Major Healthcare Company to accelerate NLP model development for oncology research, improve the fidelity of clinical insights, and support safer, more effective patient-care innovations.