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PeriWatch Vigilance™

Delayed Response Associated with Poor Outcomes in L&D

In the U.S., NICU admission rates are increasing for newborns in all birth weight categories. The group of newborns experiencing the most significant increase in NICU admissions are the normal weight newborns (2,500 gm – 4,000g), who comprise 97% of all births.1 The root cause of many of these unexpected NICU admissions, have been attributed to delayed treatment of the at-risk mother and baby. There is a mounting demand for new tools to automate early detection of a patient’s worsening condition and a move from reactive care to more proactive and timely interventions in Labor & Delivery.

Advancing the Standard of Care for Labor & Delivery

The PeriWatch Vigilance software platform adds real-time, early warning capabilities to your existing EFM surveillance system. This enterprise-level system, uses proprietary algorithm-based methods to continuously analyze fetal heart rate patterns and labor progression. It consolidates critical data in a single view, displaying the course of a patient’s intrapartum stage, helping to improve the quality and timeliness of care for mother and fetus.

  

The goal of PeriWatch® Vigilance is to:

IMPROVE SITUATIONAL AWARENESS

  • Reduces the ‘watch and wait’ approach to fetal-strip management, through continued analysis of key physiological parameters
  • Allows the clinician to make informed and timely decisions with the support of objective data
  • Identifies early warning signs of a patient’s deteriorating condition, avoiding normalization of deviances

ENABLE TIMELY INSIGHTS + INTERVENTIONS

  • Tracks and identifies patients based on the degree and duration of abnormality
  • Consolidates information on a single dashboard for a complete view of both patients, including long-term trends
  • Automates early warning to improve recognition and intervention

REDUCE PATIENT RISK + MALPRACTICE EXPOSURE

  • Utilizes algorithm-based fetal heart rate (FHR) analysis that is validated by NICHD researchers
  • Assesses labor progression with greater precision through multifactor adaptive model
  • Early Warning Systems are associated with lower rates of term NICU transfers
Qualcomm Life Intelligent Applications
can improve the quality and timeliness of care.
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  1. Epidemiologic Trends in Neonatal Intensive Care, 2007-2012. JAMA Pediatr. 2015
  2. Epidemiologic Trends in Neonatal Intensive Care, 2007-2012. JAMA Pediatr. 2015
  3. Sadler LC, Farquhar CM, Masson VL, Battin MR. Contributory factors and potentially avoidable neonatal encephalopathy associated with perinatal asphyxia. Am J Obstet Gynecol. 2016
  4. 2017 Salary Survey. Allnurses.com