PeraMobile and PeraWatch

The PeraMobile and PeraWatch System provides healthcare professionals with tools to monitor patient physiological status using the Rothman Index, a score derived from vital signs, nursing assessments, and lab data. This system, comprising a mobile application (PeraMobile) and a web interface (PeraWatch), aims to enhance clinical decision support and patient surveillance through real-time data display, trend analysis, and configurable warnings, leveraging the PeraServer for core data processing.

The PeraMobile and PeraWatch System is designed to assist healthcare providers by displaying and trending Rothman Index (RI) scores and associated configurable warning states as an adjunct to clinical decision support. The Rothman Index itself is a single, comprehensive measure of a patient's physiological condition, calculated using commonly recorded vital signs, nursing assessments, and laboratory data, reflecting the aggregate statistical mortality risk associated with these values. PeraMobile is an interactive mobile application intended for hospital-based healthcare providers, such as Rapid Response Teams, to proactively round on patients of concern and provide supplemental support to bedside clinicians. PeraWatch is a read-only, web-based interface designed to support clinicians in surveilling patients throughout various hospital settings (e.g., emergency department, wards, ICUs) and can be used for centralized or remote professional clinical surveillance across multiple hospitals. Both PeraMobile and PeraWatch are software-only devices that operate on user-provided hardware supporting standard hospital Wi-Fi (IEEE 802.11b or higher). They interface directly with the PeraServer database, which is responsible for calculating the RI scores; PeraMobile can read and write data (allowing users to document interventions and notes), while PeraWatch only reads data. The systems provide configurable warnings and, in the case of PeraMobile, offer out-of-app push notifications for changes in patient warning states to enhance timely awareness. PeraWatch also includes features like a notification list for new warnings and different patient viewing modes (graph array, tile view) to facilitate surveillance of large patient volumes. The timeliness of the RI score and associated warnings is dependent on the data entry into source systems like EHRs, but the notification features aim to improve end-user awareness.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. How does the integration of PeraMobile's note-taking and intervention documentation capabilities with PeraServer influence workflow efficiency and the quality of care coordination for Rapid Response Teams?; What specific vital signs, nursing assessments, and lab values contribute to the Rothman Index, and what is the weighting or statistical model used to aggregate them into a single score representing mortality risk?; Beyond displaying trends and warnings, what evidence exists regarding the impact of the PeraMobile and PeraWatch systems on specific patient outcomes, such as length of stay, ICU admission rates, or code blue events, when used as an adjunct to clinical decision support?; How do the configurable warning states in PeraMobile and PeraWatch adapt to different patient populations (e.g., adult vs. pediatric) or varying acuity levels within different hospital units (e.g., ICU vs. general ward)?; What are the data security and privacy measures implemented within the PeraMobile and PeraWatch systems, especially considering PeraMobile's use on mobile devices and PeraWatch's potential for remote surveillance across multiple hospitals?