The SPoT environment also records the rules that certain information must adhere to.
For example: If a medicine has the pharmaceutical form “drink”, then the unit for this medicine will be expressed in milliliters or deciliters. A patient leaflet will never state that three 10 milliliter “tablets” should be taken daily. The rule dictates that the combination of tablets and milliliters is not allowed.
The SPoT ensures the product information is compliant to the many rules that regulators have set. By entering the data in the SPoT consistently and by guarding this input through automatic execution of rules, the quality and efficiency of the input are increased. As the SPoT is available 24/7, it is always up to date and requires minimal manual intervention. SPoT is the Google Maps of pharmacy!
In the SPoT-concept standardization of data, processes and rules regarding medicinal product information occurs, supported by a framework that identifies and records the meaning of the knowledge unambiguously. A lot of information elements regarding medicinal products are already encoded. Examples include pathology in ICD10-codes, the names of medicines in ATC-codes, side effects in MedDRA-codes and medical terminology in SNOMED-codes. Brightpharma adds the semantic standardization of, for example, OMG (Object Management Group) and classification systems, modelled in the knowledge modelling language cogNIAM.
As a result SPoT becomes the foundation of high quality product information and the starting point for patient-oriented information services and –products. These can be texts on patient leaflets or first issue information as well as digital information carriers like chatbots or virtual pharmacists.
Key words
Minimal manual intervention – structure – output independent – explicit rules