Halma has been granted a patent for a system that enables concurrent monitoring of multiple obstetrics patients via a data network. The system includes a clinical monitoring module and a user-friendly graphical interface that dynamically highlights critical patients, facilitating timely communication between clinical staff and local patient stations. GlobalData’s report on Halma gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Halma, was a key innovation area identified from patents. Halma's grant share as of July 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
System for monitoring obstetrics patients during childbirth
The patent US12033752B2 describes a sophisticated system designed for the concurrent monitoring of obstetrics patients during childbirth, utilizing a data network to enhance clinical staff responsiveness. The system comprises a clinical monitoring module that communicates with local patient stations and a computer device used by clinical staff. This device features a display screen and processors that receive electronic notification data related to patients whose criticality levels exceed a predefined threshold. The graphical user interface (GUI) on the device is dynamically adapted to present relevant information about these patients, including labor progression details, thereby directing the clinical staff's attention effectively. The GUI also includes user operable control components that facilitate communication with specific local patient stations, allowing for immediate interaction with patients in proximity.
Additionally, the system is designed to process labor progression data to derive criticality levels for each patient, selectively transmitting notifications based on these levels. The communication methods established can include various forms such as telephone calls, video calls, and alarms. The system further allows clinical staff to request additional information or confirm receipt of notifications, ensuring a responsive and informed approach to patient care. The GUI is structured to present an ordered list of patients based on their criticality levels, which is dynamically updated to reflect real-time changes, thereby optimizing the monitoring process during childbirth. This innovative approach aims to enhance the efficiency and effectiveness of clinical staff in managing obstetrics patients.
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