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Perinatal Clinical Decision Support

Perinatal Clinical Decision Support

This category is a work in progress
Ability to improve adherence to prenatal, postpartum, and neonatal practice guidelines, reduce unnecessary delivery complications, serious safety events, readmissions, and the cost of obstetric malpractice coverage.

Perinatal Clinical Decision Support: Products


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Filter products


EMR compatibility

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Product attributes
  • Covid-19
  • Pediatric
  • In Epic App Orchard
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EMR used

Organization size

Type
  • AMC
  • Pediatric Facilities
  • ACO
  • Rural Presence
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By PeriGen

0 review

PeriGen offers innovative perinatal software solutions that incorporate advanced statistical analysis features to enhance clinical efficiency and standardization of care during childbirth. Led by skilled OB practitioners and IT visionaries, PeriGen has created the PeriWatch® platform to provide consistent analysis and efficient display of complex data in real-time to promote better human recognition and communication about impending problems during labor. With PeriWatch®, clinicians can spend more time on direct patient care and less time on manual calculations and data manipulation.
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EMRs supportedEpic, Cerner, Meditech +4 more
SolutionsPerinatal Clinical Decision Support, Decision Support for Labor & Delivery
Keywords efm, early warning system (ews), pc06
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By Dorsata

0 review

The ACOG Prenatal Record embeds in a practice’s electronic health record (EHR) and delivers an unparalleled experience for obstetrics that includes rules-based care planning. The platform was built with Ob-Gyn workflow and patient safety in mind. Dorsata’s advanced clinical rules engine improves diagnosis, treatment, and documentation making day-to-day patient care experience a delight. The platform’s advanced analytics empower women’s health groups to measure clinical improvement and report on adherence to best practices as well as outcomes.
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EMRs supported

None provided

SolutionsPerinatal Clinical Decision Support, Population Health Analytics Solutions, Reproductive Health Monitoring
Keywords

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