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전자의무기록

Records, EHR)은 디지털 형태로 체계적으로 수집되어 전자적으로... EHR은 인구통계학, 병력, 약물복용 및 알레르기. 예방접종 상태... [2] 10년전 전자건강기록(EHR)은 진료의 품질을 높이는 핵심적인 것으로...

Artificial Intelligence for EHR: Use Cases, Costs, Challenges

A comprehensive guide to artificial intelligence (AI) technology for EHR systems: use cases, features, tech stack. By ScienceSoft, in healthcare IT since 2005.

Health IT and EHR Information

New & Notable ; How generative AI in healthcare is helping cut admin burden ; Oracle Health to release next-generation EHR in 2025 ; EHR integration drives ambient speech purchasing decisions

“의사 대신 환자상태 파악한다”…임상 질문하는 AI

MIT 뉴스(MIT News)에 따르면 MIT(Massachusetts Institute of Technology)의 CSAIL(Computer Science and Artificial Intelligence Laboratory) 연구원들은 EHR에서 의사가 필요로 하는 정보를 자동으로 찾아 프로세스를 간소화할 수 있는 기계...

Top EHR Systems with Superior BI and Analytics - Linked in

Explore top EHR systems offering advanced Business Intelligence for comprehensive analytics and reporting in healthcare.

Artificial Intelligence EHR Integration Cuts Down on EHR Screen Time

Clinicians said they believed that the artificial intelligence EHR integration could save them over 14 minutes for each new patient encounter.

TekIntegral EHR BI DEVELOPERS(미국 노스캐롤라이나 롤리) 채용중

- Seeking Senior Technical Specialist with Cogito Fundamentals & access data model certification for EHR access business intelligence development associated with an EHR build project for...

Artificial Intelligence EHR System May Speed Up Physician Processes

MIT researchers have developed an artificial intelligence EHR system to help physicians speed up the process of looking up medical records and ease clinician burden.

Electronic health record

record (EHR) is the systematized collection of patient and... EHR combines all patients demographics into a large pool, and... EHR can improve quality care by using the data and analytics...

Artificial Intelligence Assists with EHR Data Organization

According to a recent study, physicians devote 62 percent of their time per patient reviewing electronic health records (EHRs), with the most time-consuming portion being clinical data review. To increase efficiency, researchers studied the development of an artificial intelligence system to assist with reviewing patient information. As EHRs became increasingly common, physicians have spent more time studying these data bases to review clinical data. With more data being stored in EHRs, users co...

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