Artificial Intelligence in Healthcare IT
Artificial Intelligence is all around us – on our phones, cars, smart home devices. According to Gallup, 85 percent of Americans use navigation apps, streaming services, or ride-sharing apps—all of which make healthy use of AI at this point.
Artificial intelligence is coming to healthcare. In fact, it’s already here. 35% of healthcare organizations plan to adopt AI within 2 years. According to a Healthcare IT and HIMMS Analytics Survey, More than half plan to adopt within 5.
PeriGen brings AI to the Labor and Delivery Unit
PeriWatch Vigilance®
The First Automated Early Warning System for Labor & Delivery
This is where artificial intelligence (AI) can play an important role, analyzing hours of vital data points to notify clinicians of concerning trends in their patients’ vitals. PeriGen’s AI-driven PeriWatch Vigilance® works alongside existing perinatal systems, adding an automated early warning system that quickly and easily helps labor & delivery clinicians identify patients who are developing worsening conditions. It works in tandem with current technology so “rip-and-replace” is not necessary.
AI Won’t Replace People
Electronic fetal monitoring (EFM) and other traditional technologies provide raw data. But it is still up to clinicians who may be managing multiple complex labors to make manual calculations before they can interpret the data and recognize those warning signs – many of which can be subtle. Until they’re not.
Proven Results
Medstar Health 10 Year Study
Becker’s Hospital Review published the results of 10-year study (78,459 births) on the impact of process improvement and the use of PeriGen software on the rate of cesareans, NICU admissions and and the use of extraordinary fetal resuscitation procedures.
Despite an increase in factors associated with rates of cesarean sections, the rate of cesareans remained stable after the introduction of PeriGen software and advanced management strategies.
NICU admissions declined by more than half after PeriGen was introduced and the process improvement steps were introduced.
The number of babies requiring unusual resuscitation measures in the delivery room decreased from 5.2% to 2.4%.
