Artificial Intelligence at HCA Healthcare – Two Use Cases

HCA Healthcare, Inc. is a serious hospital and healthcare providers operator with over 50,000 beds throughout its services and a workforce of greater than 30,000 staff.  HCA Healthcare reported revenues for the yr ended December 31, 2024, totaled $70.603 billion, in comparison with $64.968 billion for the yr ended December 31, 2023. And adjusted EBITDA totaled $13.882 billion in 2024.

The firm has made a number of substantial investments in AI via strategic partnerships and technological innovation. The firm collaborated with Google Cloud to implement generative AI for medical documentation and to enhance affected person care.

Additionally, it additionally partnered with Commure, following Commure’s acquisition of ambient AI pioneer Augmedix, to deploy an ambient AI platform that enhances doctor productiveness and medical workflows throughout its community of 188 hospitals and roughly 2,400 websites of care.

This article explores two enterprise AI use instances at HCA that give direct perspective on the place these capabilities maintain in bigger enterprise technique and core enterprise targets:

• Improving workflow effectivity by automating documentation: Implementing medically-tuned generative AI to automate medical documentation that frees clinicians’ time and enhances handoff consistency.
• Strengthening perinatal outcomes by centralizing real-time maternal knowledge: Integrating superior AI and predictive analytics in real-time perinatal care to unify maternal and fetal knowledge to detect dangers earlier and cut back cognitive load for healthcare professionals. 

Improving Workflow Efficiency by Automating Documentation

U.S. physicians face substantial documentation burdens, notably round digital well being file (EHR) documentation. A 2022 JAMA Internal Medicine study discovered that 58.2% of office-based physicians felt their documentation time was not acceptable and that it diminished the time they’d with sufferers.

Documentation inefficiencies cut back the time physicians can spend with sufferers, and prior analysis hyperlinks such burdens to clinician burnout. Against this backdrop, many well being techniques are exploring generative AI instruments to streamline documentation and release extra time for direct affected person care.

As per a press release revealed by HCA, the corporate partnered with Google Cloud to deal with the above challenges by deploying generative AI to enhance medical workflows and cut back time-consuming documentation. The identical doc shares that beginning in early 2023, about 75 emergency room physicians at 4 HCA hospitals piloted Google’s AI instruments to rapidly and precisely doc key medical data from conversations throughout affected person visits. 

The collaboration additionally included Augmedix, whose ambient medical documentation capabilities have been built-in with Google Cloud’s medically tuned giant language mannequin, Med-PaLM 2. The system operates inside Google Cloud’s HIPAA-compliant infrastructure, guaranteeing that affected person knowledge is processed securely inside HCA Healthcare’s setting. 

The above-cited press launch shares that beforehand, nurses needed to verbally relay or manually compile data on medicines, labs, important indicators, affected person considerations, and remedy responses throughout every shift change. With the brand new Google Cloud LLM–powered software with customized prompts, the system mechanically generates clear, intuitive handoff reviews instantly from EHR knowledge. 

In the brand new workflow, nurses at beta websites like UCF Lake Nona Hospital obtain AI-generated drafts for fast overview and approval, serving to them save time whereas guaranteeing higher continuity, security, and consistency via human oversight.

Screenshots from Commure’s Ambient resolution exhibiting how nurse–affected person conversations are mechanically captured and coded for correct documentation. (Source: Commure)

According to Commure’s web site, their platform, additionally branded and trademarked as Ambient AI (although to not be confused with ambient AI as a class descriptor of know-how that describes their product), helps clinicians and nurses in numerous methods:

• Captures pure patient-clinician conversations supporting 60+ languages, accents, dialects
• Employs Natural Language Processing and fine-tuned Large Language Models  to draft structured medical notes from transcribed conversations
• Automatically generates CPT codes, ICD-10s, modifiers, and high quality measures from documentation, lowering admin work whereas permitting employees overview
• Allows intuitive enhancing, one-click add to EHR, bi-directional integration, and cell/net entry to reduce time in digital well being data

No publicly obtainable knowledge offers direct, quantified enterprise outcomes particularly tied to HCA Healthcare’s 2023 Google Cloud generative AI pilot, akin to exact price financial savings, time reductions, or ROI metrics. The authentic press launch notes that measurement knowledge have been collected in the course of the pilot, with solely qualitative suggestions akin to “sturdy doctor satisfaction” reported, and no follow-up numbers have been disclosed in earnings calls, investor reviews, or updates via 2025.

However, HCA’s broader financials present sturdy development post-pilot — e.g., Q3 2025 revenues up 9.6% to $19.161 billion and internet earnings up 29.4% to $1.643 billion. Yet the corporate has nonetheless not explicitly attributed this enhance to AI or automation. 

Strengthening Perinatal Outcomes by Centralizing Real-Time Maternal Data

With the maternal mortality charge within the United States worsening lately, hospitals are going through vital challenges in perinatal care. According to a 2025 JAMA Network Open study and a 2025 NIH study, the U.S. maternal mortality charge elevated by 27% from 2018 to 2022, reaching 32.6 deaths per 100,000 reside births.

While the 2025 JAMA Network Open research doesn’t study causes of the rise, the rising pregnancy-related mortality charge underscores why many hospitals are prioritizing extra proactive approaches to monitoring maternal well being dangers.

According to a press release from GE HealthCare, HCA Healthcare partnered with the GE subsidiary to co-develop CareIntellect for Perinatal, a cloud-based platform designed to enhance perinatal care by addressing crucial medical workflow challenges via AI-driven insights.

The partnership aimed to create a cloud-first software program resolution that integrates seamlessly into clinicians’ each day workflows, delivering real-time, actionable insights instantly at the purpose of care. The software program’s cloud performance was meant to assist clinicians concentrate on affected person care, enhance maternal and fetal outcomes, and cut back the cognitive burden of managing advanced knowledge from a number of sources.

CareIntellect claims to combine AI and predictive analytics through GE HealthCare’s infrastructure to offer:

• Single chronological dashboard for real-time monitoring
• Event annotation
• Historical knowledge entry, and 
• Remote affected person oversight.

A promotional video from GE Healthcare notes that earlier than this know-how, clinicians needed to manually hunt throughout disparate techniques for related maternal and fetal knowledge, a time-consuming course of that elevated the danger of lacking essential insights. 

During the launch of CareIntelliect, Jeff Carron, Chief Digital and Technology Officer, Patient Care Solutions at GE, mentioned in an interview depicted within the video above that “there’s a ton of load on the techniques. It is stopping clinicians or the care groups’ capability to spend beneficial time with the sufferers and the households in the course of the labour occasion.”

CareIntellect additionally claims to remodel this by aggregating real-time knowledge into a transparent, related dashboard that helps clever medical decision-making at the bedside. These capabilities allow care groups to detect dangers akin to preterm labor or hypertension promptly and focus extra time on direct affected person care moderately than paperwork or knowledge opinions.

A screenshot of the video cited above displaying a simulation of affected person knowledge insights from the CareIntellect API dashboard. (Source: GE Healthcare)

The CareIntellect for Perinatal platform was formally introduced in October 2025 as a part of a joint public announcement by GE HealthCare and HCA Healthcare. Given the latest launch date, HCA Healthcare has not but reported any measurable medical or operational outcomes from the deployment of this AI-driven perinatal care resolution.

However, a peer-reviewed narrative review performed by Oxford University and revealed in Women’s Health particulars that AI and ML can use multimodal medical knowledge to foretell:

• Preterm beginning
• Birthweight
• Preeclampsia
• Mortality
• Hypertensive problems, and 
• Postpartum melancholy from multimodal medical knowledge. 

Another scoping overview of analysis into AI in perinatal care from Nursing Reports found that AI-enabled distant monitoring platforms utilizing wearable sensors for maternal important indicators have been linked to a 7–11% discount in maternal mortality and preeclampsia. These techniques allow early detection and well timed clinician intervention, bettering maternal security in the course of the perinatal interval in pilot research.