Grape Solutions Plc. – winner of Invitech Innomax 2017 business award with HealthBot application | Grape

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Grape Solutions Plc. – winner of Invitech Innomax 2017 business award with HealthBot application

Innomax award ceremony has been held for 7th time in a consecutive way; primary objective of the award ceremony and the contest between applicants is to exploit innovation potential and foster digitalization. This year number of applications submitted reached all time high 160 pieces.

This year, applications accepted in three nomination categories: Business, Nonprofit and InnoApps; Grape Plc. ranked as the 1st in the Business category.

Applications fostering public/social responsibility-based needs were exceptionally treated; Mr. Deputy State Secretary of the Ministry of National Development, Mr. Balázs Károly Solymár was among the members of applications appraisal board, stated the Hungarian Government handles the digital economic development with exceptional priority.

Grape’s solution, that Healthbot is an AI-based chatbot agent application aiming at supporting and fostering automation/standardization concerning the doctor – patient communication.

Objective of our IT solution is to manage and automatize the initial conversation between the doctor and the patient by putting forward diagnostic questions (that can consume even 80% of total time spent by patient at the hospital/other healthcare provider). Due to built-in Artificial Intelligence capabilities, a next potential question is being formulated by assessing answers to previous questions. As a result, getting preliminary data from patient are managed in a straightforward, intuitive and time-conscious manner.  As soon as diagnosis is about to be created by the Bot towards patient, Bot makes notification to the doctor and sends summary on data collected so far. Certainly, the diagnosis itself is being formulated solely by the doctor, not the HealthBot.

Advantage of using Healthbot is attainable by dramatically decreasing the time spent with making preliminary patient data records and by streamlining the data collection process in a 21st century way, utilizing AI capabilities.

Many thanks for this distinguishing acknowledgement of our efforts!