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Sitronics KT: A platform for the management of health facilities in the region

Product
Developers: Sitronics CT (formerly Kronstadt Technologies)
Date of the premiere of the system: 2023/04/10
Branches: Pharmaceuticals, Medicine, Healthcare
Technology: BI,  Time and Attendance

Main article: Definition of Business Intelligence

2023: Service Presentation

Sitronics KT, part of Sitronics Group, introduced a service to manage hospitals and clinics on April 10, 2023.

The system accelerates the process of providing medical care to patients by automating the processing of their data, helps management to allocate resources and working hours of medical personnel, to carry out operational monitoring of the institution's indicators. The platform has the ability to integrate with state medical information systems of various levels.

The service allows you to manage both a separate medical center (clinic or hospital), and a network or all medical institutions of the subject at the level of the regional ministry of health or the Medical Information and Analytical Center of the region.

With the help of the platform, you can assess the effectiveness of the structured processes of work of personnel with patients, see the occupancy of the bed capacity, monitor the load of medical workers and make adjustments to the staffing table if necessary.

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The system forms a single information space between the Ministry of Health of the subject and the medical institutions subordinate to it. The flexible architecture of the solution allows you to quickly configure it for specific tasks. Also, the platform can be scaled on one complex of institutions, including, for example, a hospital, a clinic and a consultation. So, thanks to the introduction of the module of this platform at the level of one of the medical institutions, an adaptive staffing list of hospitals was created for effective personnel management and patient care, "said Nikolai Pozhidaev, President of Sitronics Group.
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The service solves the problem of queues for hospitalization of patients by compiling a load forecast model for departments, provides an assessment of the burden on the medical institution, helps management analyze and predict financial activities.