Company: HCTI
Filing Date: 2025-11-28
Form Type: S-3
Source: 0001213900-25-115888
Chunk: 11

Company: Healthcare Triangle, Inc.
Filing Date: 2025-11-28
Form: S-3
Chunk 11
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 below are transforming the way data and analytics are used by healthcare organizations and provide us with a significant opportunity. Challenges Associated With Increasing Complexity Of Healthcare Data Across the healthcare landscape, a significant amount of data is being created every day, driven by patient care, payment systems, regulatory compliance, and recordkeeping. This includes information within patient health records, clinical trials, pharmacy benefit programs, imaging systems, sensors, and monitoring platforms, laboratory results, patient-reported information, hospital, and physician performance programs, and billing and payment processing. The U.S. healthcare system has invested billions of dollars to collect vast amounts of detailed information in digital format. Examples of major areas of investment include electronic transactional systems that digitize clinical information (e.g., EHR systems, pharmacy, laboratory, imaging, patient satisfaction, and healthcare information exchanges), financial information (e.g., general ledger, costing, and billing), and operational information (e.g., supply chain, human resources, time and attendance, IT support, and patient engagement). Wearables and sensors drive personalized health data for continuous monitoring of patients through daily activity logs, biometric sensors, fall sensors, social activity sensors, etc. These wearables and sensors result in a proliferation of healthcare data that also includes socioeconomic, genomic, and remote patient monitoring information. Collecting, storing, and using healthcare data is complicated by the breadth and depth of disparate sources, the multitude of formats, and increasing regulatory requirements. The data is vital for life sciences and pharmaceutical industries; however, traditional and current data platforms are not equipped to meet this surge or the analytic demands. Today, the data platform is expected to stay relevant for at least 15 years, be able to democratize the data, and still be secure and compliant. Data and analytics in healthcare is transforming the way illnesses are identified and treated, improving quality of life and avoiding preventable deaths. We believe our DataEz platform addresses these challenges. DataEz is a cloud-based data pipeline platform that helps to enable personal healthcare data management, analytics, and data science capabilities for large life sciences, pharmaceutical, and healthcare organizations. It integrates with a larger variety of data sources to ingest, process, store, analyze, and gain insights from the data. By leveraging the real-world evidence data and the ability to diagnose through advanced predictive modelling, AI/ML makes the process simpler and less expensive. Life sciences industries will require a secure, privacy-compliant, and future-proof data platform as a foundation for large-scale genomics collaborations and for efforts to analyze archived data, including privacy-