New AI Accurately Translates 93% of Prescription Information Imported into EHRs

What You Need to Know:

— Simple prescription guidelines, called “sigs,” can
have numerous variations or be missing entirely from patients medication
histories when they are imported into medical facilities EHRs. The missing instructions
contribute to the threat of medication errors and take some time for personnel to fix up
during the medication reconciliation procedure.

— SmartSig 2.0 properly equates nearly 93% of
incoming prescription information, saving up to 30 seconds of work for each
drug entered during the medication reconciliation process.

DrFirst,
a Rockville, MD-based supplier of e-prescribing, patient medication management,
and rate transparency services, today announced the release of the next
generation of its SmartSig innovation, which utilizes trademarked artificial
intelligence (AI) to improve the quality of client medication history when
it is imported into medical facilities and health systems electronic health record
( EHR) systems. Clinicians use the imported information for medication
reconciliation, which is recommended whenever a client is confessed,
transferred, or released from a healthcare center. Accurate medication
reconciliation is a National Patient Safety Goal of The Joint Commission.

— Healthcare innovation company DrFirst has announced the
release of its next generation, patented SmartSig AI technology to enhance the
quality of patient medication history when it is imported into healthcare facilities and
health systems electronic health records (EHRs).

How Gaps in Prescription Histories Complicate The
Medication Reconciliation Process

A current research study by the University of Michigan exposes that.
quality issues due to free-text sigs also adversely impact pharmacy workflow.
and threatens clients, needing pharmacists to by hand edit 84% of.
electronic prescriptions to create accurate client labels, which can still.
introduce human errors. The study, published in May by BMJ Quality &&
. Safety, concludes that “advancement of techniques and tools such as a.
comprehensive set of structured instructions elements or device learning-based.
natural language processing strategies may assist produce clear instructions.”.

This time cost savings can amount to numerous countless hours.
in a month, depending upon the size of the health center or health system. For a mid-.
to large-size medical facility reconciling more than 2 million patient medications in a.
month, this could conserve more than 200,000 work hours per year.

How SmartSig 2.0 Works.

SmartSig 2.0 accurately equates nearly 93% of inbound.
prescription info, called sigs, helping prevent medication mistakes and.
conserving as much as 30 seconds of work for each drug entered during the medication.
reconciliation procedure.

Simple prescription guidelines, called “sigs,” can have
hundreds of variations or be missing entirely from clients medication
histories when they are imported into hospitals EHRs. The missing directions
contribute to the risk of medication errors and take time for personnel to reconcile
during the medication reconciliation procedure. In addition, the broad irregularity
of sig terms presents a more substantial obstacle than the majority of people might
envision for equating and structuring the data, stated G. Cameron Deemer,
president of DrFirst. “Even a simple prescription instruction, such as take.
one tablet by mouth as soon as daily, can have numerous text variations,” he.
discussed. These gaps in prescription histories make complex the medication.
reconciliation procedure, frequently needing clinicians and staff to invest hours.
conferring with drug stores and other suppliers to collect missing sig information.
and after that by hand enter them.

Carried out in 2015, SmartSig now serves health.
systems across the U.S. and Canada as part of DrFirsts MedHx option,.
processing millions of pieces of info daily. Early adopters of SmartSig.
2.0 within MedHx have successfully integrated the service with all the significant.
EHRs in the U.S.

SmartSig AI addresses these challenges by producing.
accurate, structured, real-time translations. The innovation converts free text.
aspects of medication sigs into a health systems standard terminology and.
processes the information into suitable fields so that it becomes practical within.
the EHR. With much better and actionable information, health systems EHRs can more.
properly activate important safety checks, such as drug interactions and.
allergy notifies.

In an initial study with 6 health systems, SmartSig 2.0.
further enhanced the quality of structured and codified sigs over the previous.
variation. Sig translations from totally free text increased by approximately 11% with.
the next-generation technology, compared to SmartSig 1.0, which already.
enhanced translation and reasoning by as much as 82%. The early adopters include.
Covenant HealthCare (Saginaw, Mich.), Kings Daughters Medical.
( Brookhaven, Miss.), Lafayette General Health (Lafayette, La.), Maimonides.
Medical Center (Brooklyn, N.Y.), and St. Claire HealthCare (Morehead, Ky.).

SmartSigs trademarked AI is a game-changing option that.
almost improves the quality of converted free-text sigs and dramatically lowers.
the quantity of time personnel should spend fixing up and confirming medication.
histories,” he added. “More importantly, SmartSig has the possible to reduce.
negative drug events, which are blamed for more than 100,000 deaths each year,” said Deemer.

DrFirsts SmartSig is integrated into the companys MedHx solution, which offers a more total, tidy, and consumable client medication history for the medication reconciliation procedure. When medications are imported into EHRs, sigs connected with them typically get here as disorganized free text, often with missing out on pieces of information and utilizing a variety of terms for the very same directions (e.g., “by mouth” vs. “orally”) that makes the process of going into the medications labor-intensive and increases the threat of negative drug events (ADEs).

Preliminary Results/Outcomes for Providers.

Service provider Adoption.

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