Difference between revisions of "Advanced Clinical Research Information Systems (ACRIS)"
(An advanced clinical research information system (ACRIS) is a complex constellation of capabilities that can assist in the management of patients during clinical trials and rapidly assemble data assets for research questions.) |
m (The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).) |
||
| Line 1: | Line 1: | ||
| − | An advanced clinical research information system (ACRIS) is a complex constellation of capabilities that can assist in the management of patients during clinical trials and rapidly assemble data assets for research questions. It also provides data mining and research process support to meet the needs of clinical and translational research, and related biostatistics and biocomputation. It includes open-source components.<ref>What is Advanced Clinical Research Information Systems (ACRIS) [http://www.gartner.com/it-glossary/advanced-clinical-research-information-systems-acris Gartner]</ref> | + | An advanced clinical research information [[system]] (ACRIS) is a complex constellation of capabilities that can assist in the [[management]] of patients during clinical trials and rapidly assemble [[data]] assets for research questions. It also provides data mining and research [[process]] support to meet the needs of clinical and translational research, and related biostatistics and biocomputation. It includes open-source components.<ref>What is Advanced Clinical Research Information Systems (ACRIS) [http://www.gartner.com/it-glossary/advanced-clinical-research-information-systems-acris Gartner]</ref> |
| − | Organizations need to implement advanced clinical research information systems (ACRIS) to combine clinical, molecular and imaging data to support translational research. ACRIS architectures typically have a research data repository (RDR) that is separate from medical record systems and is designed to answer scientific questions and assess patient outcomes. Collaborative web-based access to RDRs enable clinicians and researchers to browse clinical data and easily create patient cohorts. Critically, sample, molecular and research results also stored in the RDR can be used to stratify the patient cohorts. | + | Organizations need to implement advanced clinical research information systems (ACRIS) to combine clinical, molecular and [[imaging]] data to support translational research. ACRIS architectures typically have a research data repository (RDR) that is separate from medical record systems and is designed to answer scientific questions and assess patient outcomes. Collaborative web-based access to RDRs enable clinicians and researchers to browse clinical data and easily create patient cohorts. Critically, sample, molecular and research results also stored in the RDR can be used to stratify the patient cohorts. |
Latest revision as of 13:35, 6 February 2021
An advanced clinical research information system (ACRIS) is a complex constellation of capabilities that can assist in the management of patients during clinical trials and rapidly assemble data assets for research questions. It also provides data mining and research process support to meet the needs of clinical and translational research, and related biostatistics and biocomputation. It includes open-source components.[1]
Organizations need to implement advanced clinical research information systems (ACRIS) to combine clinical, molecular and imaging data to support translational research. ACRIS architectures typically have a research data repository (RDR) that is separate from medical record systems and is designed to answer scientific questions and assess patient outcomes. Collaborative web-based access to RDRs enable clinicians and researchers to browse clinical data and easily create patient cohorts. Critically, sample, molecular and research results also stored in the RDR can be used to stratify the patient cohorts.
References
Further Reading
- Medical diagnostics: the data developments taking it beyond identification to predict and prevent disease Medtech Engine
- Better Data for Better Care Evolvent