The First Automated Early Warning System
for Labor & Delivery
Early warning solution to quickly & consistently identify patients who may be developing a potentially worsening condition.
Designed specifically for the maternal-fetal dyad. Delivers an objective assessment of the patient’s status, based on collaboratively agreed upon parameters set by your institution.
Consolidated for intrapartum, antepartum and postpartum patients. Provides the user a choice of a 4 or 12 hour overview for superior trending functionality.
Displays a one screen view of AI FHR pattern analysis, an automated Oxytocin Checklist, maternal vitals and a statistical labor curve for rapid analysis and intervention.
Leveraging evidence-based medicine with 50 peer-reviewed publications: American Journal of Obstetrics and Gynecology, Becker’s, Journal of Healthcare Information Management.
PeriWatch® Vigilance™ is a Perinatal Early Warning System that notifies clinicians about patients whose conditions are worsening. Using an artificial intelligence-based approach, it continuously analyzes fetal heart rate, contractions, labor progression, and provides maternal vital signs alerts. Notification thresholds can be configured by each institution and the actual alerts appear on the department census board.
The use of early warning systems is an emerging standard for labor & delivery to combat the rising rate pregnancy-related mortality in the United States.. They are recommended by over 21 professional obstetric associations and societies because their use is associated with substantially improved care and reduced maternal morbidity.
Following is a list of research, along with links to their abstracts, about early warning systems and the challenges they’ve been developed to solve:
Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 Kassebaum, Nicholas J et al. Lancet. 2016 Oct 8; 388(10053): 1775–1812.
Isaacs, RA, Wee MYK, Bick DE, et al. (2015) A national survey of obstetric early warning surveys in the United Kingdom: five years on. Anaesthesia 2014;69:687-9
Mhyre JM, DʼOria R, Hameed AB, Lappen JR, Holley SL, Hunter SK, Jones RL, King JC, DʼAlton ME. The maternal early warning criteria: a proposal from the national partnership for maternal safety. Obstet Gynecol. 2014 Oct;124(4):782-6.
Shields LE, Wiesner S, Klein C, Pelletreau B, Hedriana HL. Early standardized treatment of critical blood pressure elevations is associated with a reduction in eclampsia and severe maternal morbidity. Am J Obstet Gynecol. 2017 Apr;216(4):
PeriWatch Vigilance’s technology has been associated with improved outcomes: lower unanticipated NICU admissions, fewer newborn resuscitations, and controlled cesarean section rates. To see research summary and details click here.
Without requiring a hospital to “rip and replace” its current perinatal system, the enterprise-wide PeriWatch Vigilance platform is simple to implement with minimal interfacing to all EMRs including Epic, Cerner®, Meditech and Allscripts®.
No. PeriWatch Vigilance adds powerful early warning capabilities, working alongside your existing fetal surveillance system. It does not require workflow changes or additional documentation.
PeriWatch Vigilance has been designed as an enterprise-wide solution that’s easy-to-implement and easy-to-use. In addition to delivering patient notifications to the EMR chalkboard for a quick and easy look at patients across the facility, it acts as a clinical tool at the bedside, nurse’s station or as part of a centralized rapid response center. PeriWatch Vigilance also provides an enterprise-wide view, shown above, that can be manned by a single patient safety nurse or other clinician to monitor patients across an entire health system from one screen.
Charge nurses, nurse managers, risk managers, and others can run a variety of reports that the organization’s progress toward quality goals.
PeriWatch Vigilance is now available. To schedule a “hands on” test drive of its features and benefits, please complete the form below.