In the critical care unit of a hospital, many injectable drugs are administered simultaneously and come into contact in the infusion tubes. In practice, almost one in five active products reacts with another, potentially causing reversal of effects or toxicity: this is known as Physical-Chemical Incompatibility.
Nearly one third of incompatibilities are potentially life-threatening. Other researchers have also shown that reducing incompatibilities is associated with a reduction in hospital stay of up to 25% in critical care. Despite these medico-economic consequences and the solutions that have emerged over the past 50 years, none has been able to sufficiently reduce this risk. DrugOptimal was born out of this observation.
Based on a study of several thousand scientific articles and targeted laboratory work on incompatibilities, DrugOptimal has succeeded for the first time in characterising physico-chemical incompatibilities using artificial intelligence.
Pioneers in its field, DrugOptimal is proud to have the largest usable database of drug compatibility. The software developed by DrugOptimal automatically detects incompatible combinations on the prescription that are likely to interact and supports the nurse by proposing intelligent care plans and displaying appropriate information. The nurse can then prepare and administer the drugs in accordance with good practice while reducing the risk of incompatibility.
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In the critical care unit of a hospital, many injectable drugs are administered simultaneously and come into contact in the infusion tubes. In practice, almost one in five active products reacts with another, potentially causing reversal of effects or toxicity: this is known as Physical-Chemical Incompatibility.
Nearly one third of incompatibilities are potentially life-threatening. Other researchers have also shown that reducing incompatibilities is associated with a reduction in hospital stay of up to 25% in critical care. Despite these medico-economic consequences and the solutions that have emerged over the past 50 years, none has been able to sufficiently reduce this risk. DrugOptimal was born out of this observation.
Based on a study of several thousand scientific articles and targeted laboratory work on incompatibilities, DrugOptimal has succeeded for the first time in characterising physico-chemical incompatibilities using artificial intelligence.
Pioneers in its field, DrugOptimal is proud to have the largest usable database of drug compatibility. The software developed by DrugOptimal automatically detects incompatible combinations on the prescription that are likely to interact and supports the nurse by proposing intelligent care plans and displaying appropriate information. The nurse can then prepare and administer the drugs in accordance with good practice while reducing the risk of incompatibility.
Drug Optimal