Healthcare and Life Sciences


The Healthcare and Life Sciences industries are undergoing a rapid digital transformation, with the patient at the center of the journey. This patient-centric model is bringing about a convergence of the entire ecosystem, including pharmaceutical companies, payers, providers, and other intermediaries. However, both the Healthcare and Life Sciences industries are facing challenges in reducing the cost of providing healthcare or developing drugs and medical devices due to increased regulatory compliance needs and rapid policy changes.

These industries are at the forefront of leveraging AI-based technologies to drive improved patient outcomes by leveraging unstructured data in EHRs, claims and billing, government and regulatory registries, clinical trials, and other sources.

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Key challenges the Healthcare and Life Sciences companies face:


A lack of digitalization of medical records hinders access to data, and relevant information is often unintegrated, unstructured, and siloed in disparate systems


Poor access to curated scientific literature. Analyzing and extracting relevant information and data from research documents is a manual and time-consuming job


Inability to acquire and process public data such as adverse events and trial data at scale and speed

Straive’s Healthcare & Life Sciences Capabilities

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Competitive & Market Intelligence

Straive enables companies to make strategic business decisions through comprehensive research from public and subscribed data sources such as clinical trials, M&A news, Patents, and Research funding.

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Database & Information Product Management

Straive allows healthcare and life sciences companies to modernize their end-to-end data supply chains from acquisition, enrichment, transformation to delivery through an automated platform-based approach.

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Real-World Evidence

We leverage strong subject matter expertise to create evidence-based answers for clinical questions using medical reviews by applying EBM in a straightforward step-wise process (PICO). We include the best research that can aid clinicians’ decision-making process and identify evidence gaps to arrive at more efficient and coherent outcomes through this process.

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Social Determinants of Health

Straive provides an automated process for collecting publicly available socio-economic health attributes of the consumers, including demographic data, education, occupation, criminal record, financial strength, behavioral, and lifestyle data.

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SME Curation

Straive improves data discoverability by leveraging ML and NLP-based solutions layered with our domain expertise. We curate unstructured content such as patents and journal articles and identify and extract critical entities like biomarkers, disease conditions, genetic information, drug formulations, and chemical structures.

How Straive Can Help

Straive helps enterprises with highly scalable data solutions across the data lifecycle, thereby facilitating organizations to uncover data intelligence and insights from unstructured and structured data assets.

Straive’s data solutions enabled by the Straive Data Platform (SDP) help the Healthcare and Life Sciences enterprises manage these unstructured data operations. SDP enables our clients to digitize and extract data from any source, such as regulatory websites, research portals, and scientific documents such as journals, patents, etc., by leveraging pre-built data connectors. The relevant data entities are extracted and classified through NLP and machine learning models to create structured datasets. Straive’s domain-specific SME team of 500+ associates curates and validates the data to deliver high-quality datasets to gather insights and derive practical actions. How Straive Can Help.png

Key solutions for these industries

  • Creating competitive and market intelligence reports through the analysis of clinical trials data, patents, drug pipelines, regulatory filings, news reports, and more
  • Creating in-house databases such as biomarkers, proteins, and chemical compounds by extracting data from full-text PDFs of journal articles
  • Extracting detailed patent landscape reports, including patent freedom to operate searches, whitespace analysis, state-of-the-art reviews, and patentability (novelty) reviews
  • Screening of scientific and medical literature to identify potential adverse drug events post-market launch and coding the data with customer-specific ontologies
  • Creating real-world data for post-market surveillance and pharmacovigilance by extracting information from the voice of customer data, patient surveys, EHRs, customer complaints, regulatory websites, and literature review


Cost savings

Through a platform-enabled, domain expert-led approach to process structured and unstructured data, organizations can reduce their cost of data operations by 30-40%.

Data Quality

Engaging domain experts for high-end data curation ensures the derived dataset is of high quality.

Time to market

Reduces data latency and turnaround time from data acquisition to delivery through automation to enable a faster time-to-market by 70-80%.


Scalable solutions across enterprises, with the ability to quickly onboard new data sources and data formats with minimal changes.

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