For hospitals, improving patient safety, including outcomes during childbirth, remains a top priority. With the United States leading the developed world in mortality rates – coming in at 26.4 deaths per 100,000 live births – identifying and intervening when early warning signs present themselves is crucial. Yet, manual review of raw data is time-consuming and often leaves subtle early warning signs unidentifiable, until it’s too late.

With the help of artificial intelligence (AI), existing raw data from fetal monitoring systems and EHRs can be leveraged for an automated review processes, aiding busy clinicians in their effort to improve outcomes for patients before, after, and during delivery. This technology can be implemented immediately, bringing a chance to streamline the use of potentially life-saving interventions that can dramatically improve maternal and fetal outcomes.

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