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CDS,clinical decision support,clinical documentation,electronic medical records,Electronic Medical Records and Genomics,EMRs,interoperability,medCPU

How clinical decision support fills gaps in clinical data for higher quality care

liora-guy-david

Liora Guy-David, Ph.D., Vice President of Data, medCPU

As long as the healthcare industry lacks true interoperability among dissimilar systems, clinicians will have incomplete patient information at the point of care. This includes gaps over time, as when a clinician is unaware of imaging tests already completed, and gaps across care team members who record documentation in separate systems. Both types of gaps can compromise patient safety.

While we don’t typically think of gap-closing as being a primary clinical decision support (CDS) function, CDS systems do exactly that. Its success in informing decisions depends largely on the ability to analyze information from multiple systems, closing gaps in real-time. As a result, CDS is emerging as an essential tool for improving quality of care.

Decision-making support built with a more complete view of the patient

CDS systems run on top of EMRs, analyzing documentation as it is being entered and issuing alerts in EMR windows when conditions indicate the possibility of a medical error or compromised patient safety. This is often a matter of giving clinicians information of which they were unaware.

To fully inform alerts, advanced CDS systems supplement the structured data in EMRs and pull information retrieved from other systems such as those in labs and imaging departments. CDS leverages its comprehensive patient view by applying rules-based analysis regarding diagnoses and courses of care. By augmenting a physicians’ expertise with real-time information retrieval and gap-closing, CDS systems play a key role in promoting patient safety.

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Electronic Medical Records and Genomics,eMERGE,Government Perspectives,National Human Genome Research Institute,National Institutes of Health,NHGRI,NIH

NIH grants seek best ways to combine genomic information and EHRs

A dozen awards from the National Institutes of Health will support research that incorporates DNA sequence information into electronic medical records. The goal of research conducted by the Electronic Medical Records and Genomics (eMERGE) network is to better understand the genomic basis of disease and to tailor medical care to individual patients based on their genomic differences.

The grants, administered by the National Human Genome Research Institute (NHGRI), represent the third phase of the eMERGE program, and focus on moving genomics research closer to clinical application by identifying the potential medical effects of rare genomic variants (inherited differences in the DNA code) in about 100 clinically relevant genes. The activity of such genes can affect a person’s health, and might affect treatment choices.

“The newly funded projects are focused on discovering genes and gene variants with clinical implications by using the latest sequencing technologies to examine rare and common variants suspected to relate to disease risk and treatment effects,” said Rongling Li, M.D., Ph.D., program director for eMERGE in the Division of Genomic Medicine at NHGRI, a part of NIH. “The other important component of these grants is implementing what researchers learn about these gene variants into medical settings to improve patient care.”

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