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PHC Corporation Officially Launches New SaaS Product “digicare Analytics”

PHC Corporation Officially Launches New SaaS Product

PHC Corporation‘s Medicom Division (hereinafter referred to as “PHC”) is pleased to announce the launch of “digicare”, which supports the automation of collection and aggregation of sales data at dispensing pharmacies. We are pleased to inform you that we have officially launched Digicare) Analytics (*1) . This product is a pharmacy management support tool that can manage sales information on the cloud.

“It enables more detailed analysis than materials created with spreadsheet software, and we can expect to improve the quality of discussions at pharmacy managers’ meetings.”

[Development background]
Since pharmacy managers often have to go to each store to collect sales information and check it by phone or fax, there is an urgent need to improve operational efficiency through technology. I’m here.

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In addition, in the Ministry of Health, Labor and Welfare’s “Pharmacy Vision for Patients” (*2) and the revision of dispensing fees in fiscal 2022 (*3) , the evaluation of “interpersonal work” is emphasized, and ” Emphasis is placed on the shift from “monzen pharmacies” to “family pharmacists and pharmacies” that provide health support for patients. Under these circumstances, PHC will improve the work processes of pharmacists and pharmacy managers through the provision of “digicare analytics” and help them secure time for interpersonal work, thereby contributing to the improvement of the quality of dispensing work.

“digicare Analytics” automates the collection and aggregation of sales data at dispensing pharmacies, greatly reducing the manual work involved in daily aggregation operations. Since this product complies with NSIPS (*4) , it can be used even if the receipt computer you are using is not made by PHC. You can start using Furthermore, since data is saved in the cloud in real time, you can access the latest information from anywhere using your device. It also has a download function for aggregated data, so you can easily import it into the tools you are used to using.