博客:PULSE和Data Excellence
资源
5月 09, 2025
Longitudinal Health Record
This briefing highlights how InterSystems is collaborating with diverse customer organizations to streamline the set-up of new data feeds to a high-performing longitudinal health record.
5月 09, 2025
Enabling More Resilient, Flexible, and Transparent Supply Chains
InterSystems technology enables you to optimize your supply chain performance by predicting disruptions before they occur, and optimally handling them when they do.
5月 09, 2025
HIMSS TV
Dr. Alfredo Almerares, clinical executive manager at InterSystems, says the company's generative AI tools that summarize patient visits are helping Latin American clinicians to relieve burnout and build patient relationships.
5月 09, 2025
IDC Conversation
Learn how access to data and data quality impact efforts to improve the supply chain and the primary causes of longer time to value and high implementation costs.
5月 07, 2025
基础知识
比较检索增强生成(RAG)、微调(Fine-Tuning)和提示词工程(Prompt Engineering),以找到最适合您需求的AI方法。 包括实际示例和互动决策工具。
5月 02, 2025
InterSystems IRIS for Health and FHIR
Simplifying Data Access with InterSystems FHIR Solutions
4月 22, 2025
Internet of Healthcare Things
Developing solutions that deliver the promise of Internet of Healthcare Things (IoHT) can be difficult. To be successful, developers must capture vast amounts of medical device data in real time.
4月 15, 2025
Enterprise Master Person Index
Next-Generation Enterprise Master Person Index for Identity Management Seamless patient, member, and beneficiary identification is essential for efficient operations across healthcare organisations and government agencies. Yet, fragmented systems, inconsistent identifiers, and data gaps continue to disrupt workflows, increase costs, and compromise care quality and service delivery. 35% of denied medical claims stem from inaccurate patient identification¹, while mergers and affiliations further complicate record consolidation. Even within a single information system, duplicate or overlaid records can introduce inefficiencies and risks; by creating costly administrative burdens and compromising the accuracy of AI workflows built on unreliable data. To maintain data integrity and prevent cascading errors, organisations must be able to detect problematic records in real time and trigger corrective actions.
4月 09, 2025
IDC Market Note
Download the IDC Market Note