AI in Healthcare2019-07-31T20:13:08+00:00

Artificial Intelligence in Healthcare IT

Artificial Intelligence
in Healthcare

Clinical Decision Support
and Early Warning System

Better Clinical Outcomes
Standardized Care
Positive Behavior Change

of Americans are already using AI

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.

What is Artificial Intelligence?

Artificial Intelligence

Artificial Intelligence (AI) refers to a collection of mathematical techniques used to accomplish one or more human cognitive functions. Common problems for AI include: visual pattern recognition, speech recognition, decision-making, understanding languages and operating robots. The two major approaches used in AI include logic and rule-based techniques and machine learning. Machine learning refers to techniques where internal algorithms find patterns in data and measure the strength of their association with the outcome of interest.   With the presentation of more and more examples the computer “learns” what associations are strongest and then applies that experience to the next set of data it receive

Why is Healthcare an AI-Safe Profession?

Healthcare is AI-safe

Healthcare is an AI-safe profession because it is complex, requires establishing human relationships and understanding and abstract reasoning.   Computers don’t form relationships, are not empathetic and cannot truly understand or reason. Healthcare can be enhanced by AI because it provides consistent analysis that is objective, data driven and can counter human lapses related to wishful thinking, tunnel vision, boredom, inexperience and fatigue.

Want to learn more?

Read the complete AI: A Primer for Perinatal Clinicians

by Dr. Emily Hamilton

Read More
of Healthcare Organizations will adopt AI within 5 years

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 perinatal early warning system

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. All while working in tandem with current technology – no “rip-and-replace” necessary.

PeriWatch Vigilance® delivers innovation to hospitals that relieve clinicians of tediously reviewing hours of maternal and fetal monitoring strips, while enhancing patient safety.

Learn how AI can be used in your labor and delivery unit

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%.

Download The Study

Artificial Intelligence In The News

Additional Resources

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