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Medicine Identification New Database New Database Helps Reduce Medication Errors in Health Care

Editor: Alexander Stark

A very common source of medication errors is the mix‐up of „Look‐Alike and Sound‐Alike“ (Lasa) medication. Scientists of Groupement Hospitalier Centre Edouard Herriot Lyon, France have developed a new tool named Medicine Identification New Database (Mind) to quickly and accurately identify unlabeled medication even by untrained individuals.

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A very common source of medication errors is the mix‐up of „Look‐Alike and Sound‐Alike“ (Lasa) medication.
A very common source of medication errors is the mix‐up of „Look‐Alike and Sound‐Alike“ (Lasa) medication.
(Source: Public Domain / Pixabay )

Lyon/France —Medication errors are one of the most significant problems that impair patient safety in health care. „Look‐Alike and Sound‐Alike“ is a major reason for confusing different drugs. This is especially true after the medication has been removed from initial packaging and blister and then been filled in unlabeled dispensers for the various patients. A new database is set to eliminate this issue.

Mind is a 3‐moduled screening process of identifying commercialized information (manufacturer, CAS number and active pharmaceutical ingredient), organoleptic properties (type, shape, color, size, weight) and collecting an ATR‐FTIR spectrum of the medication to precisely identify the medication and counterfeit medication.

The backbone of the ATR‐FTIR module is a reference spectra database containing more than 500 entries with extensive sample information. The spectra in this database were measured in the hospital laboratories by scientific personnel and then transferred to the S.T. Japan‐Europe. S.T.Japan‐Europe issued this database in all the various data formats so that it can be used with most instruments/software packages in the market. (Pharmaceutical Tablets and Capsules Database L30030).

Additionally, with the combination of these three modules counterfeit medication and also medication questioned for their physico‐chemical integrity and stability after long‐storage in various conditions of temperature and humidity can be reliably discriminated, characterized and identified.

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