Early-warning protocols are commonly used in hospitals to flag patient deterioration. However, in many hospitals this is often a manual process, utilizing color coding of patient status on a whiteboard in the nurse’s station. Interest in automated early-warning systems that flag patient deterioration using vital signs information is increasing with the mounting pressure on stretched hospital staff. Examples of early-warning software solutions include the Philips IntelliVue Guardian Solution and the Capsule Early Warning Scoring System (EWSS). Perigen’s PeriWatch Vigilance is the only AI-based early-warning scoring system that is developed to enhance clinical efficiency, timely intervention and standardization of perinatal care.
The need for solutions that support resource-restricted hospitals has been further exacerbated during the COVID-19 pandemic. Many existing early-warning vendors have updated their surveillance systems to enable more specific capabilities for COVID-19 patients, specifically for ventilated patients. Companies such as Vigilanz Corp’s COVID Quick Start, and Capsule Tech’s Clinical Surveillance module for ventilated patients enables healthcare professionals to respond to COVID-19 and other viral respiratory illnesses with customizable rules, reports, and real-time alerts.
Numed, a well established company in business since 1975 provides a wide range of service options including time & material service, PM only contracts, full service contracts, labor only contracts & system relocation. Call 800 96 Numed for more info.
Sepsis is the primary cause of death from infection, accounting for 20% of global deaths worldwide. Sepsis frequently occurs from infections acquired in health care settings, which are one of the most frequent adverse events during care delivery and affect hundreds of millions of patients worldwide every year. As death from Sepsis can be prevented, there is significant focus around monitoring at-risk patients. Several health systems employ their own early-warning scoring protocol utilizing in-house AI models to help to target sepsis. HCA Healthcare, an American for-profit operator of healthcare facilities, claims that its own Sepsis AI algorithm (SPOT) can detect sepsis 18 hours before even the best clinician. Commercial AI developers are also focusing their efforts to provide supporting solutions. The Sepsis DART solution from Ambient Clinical Analytics uses AI to automate early detection of potential sepsis conditions and provides smart notifications to improve critical timeliness of care and elimination of errors. Philips ProtocolWatch, installed on Philips IntelliVue bedside patient monitors, simplifies the implementation of evidence-based sepsis care protocols to enable surveillance of post-ICU patients.