DataRobot Case Studies AI Elevates Patient Care at Phoenix Children’s

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	AI Elevates Patient Care at Phoenix Children’s DataRobot

AI Elevates Patient Care at Phoenix Children’s

DataRobot

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Healthcare & Hospitals
Applicable Functions	Quality Assurance Business Operation
Use Cases	Predictive Maintenance Remote Patient Monitoring
Services	Data Science Services
Challenge	Phoenix Children’s is one of the nation’s largest pediatric health systems. It provides world-class inpatient, outpatient, trauma, emergency, and urgent care to children and families for more than 38 years. The organization is continuously at the forefront of innovation and is recognized among the nation’s top-ranked children’s hospitals. Phoenix Children’s wanted to use analytics to improve both clinical and operational decisions. However, manually building a single model took the better part of a year. The healthcare system knew that a certain percentage of children who present with other health concerns may actually have undiagnosed malnutrition. If they could identify cases of malnutrition, they could intervene and influence outcomes. Read More
About Customer	Phoenix Children’s is one of the nation’s largest pediatric health systems. It comprises Phoenix Children’s Hospital–Main Campus, Phoenix Children’s Hospital–East Valley at Dignity Health Mercy Gilbert Medical Center, four pediatric specialty and urgent care centers, 11 community pediatric practices, 20 outpatient clinics, two ambulatory surgery centers, and six community service-related outpatient clinics throughout the state of Arizona. The system has provided world-class inpatient, outpatient, trauma, emergency, and urgent care to children and families for more than 38 years. Phoenix Children’s Care Network includes more than 850 pediatric primary care providers and specialists who deliver care across more than 75 subspecialties. Read More
Solution	Phoenix Children’s turned to DataRobot AI Cloud to automate its predictive analytics and for ease of use for business and IT users. The solution was deployed on-premise and integrated with the hospital’s Microsoft data and analytics suite, including Microsoft Power BI. The project was up and running within a couple of days. Phoenix Children’s applies DataRobot AI Cloud for both clinical and operational applications. They built a comprehensive dataset based on 10 years of hospital data and used modeling to identify children who may be at-risk for malnutrition. With subsequent nutritionist evaluations of identified patients, they now uncover several patients every week. Phoenix Children’s also turned to DataRobot to predict no-shows for appointments, which traditionally happen about 10 to 20 percent of the time. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Healthcare & Hospitals

Applicable Functions

Quality Assurance

Business Operation

Use Cases

Predictive Maintenance

Remote Patient Monitoring

Services

Data Science Services

Challenge

Phoenix Children’s is one of the nation’s largest pediatric health systems. It provides world-class inpatient, outpatient, trauma, emergency, and urgent care to children and families for more than 38 years. The organization is continuously at the forefront of innovation and is recognized among the nation’s top-ranked children’s hospitals. Phoenix Children’s wanted to use analytics to improve both clinical and operational decisions. However, manually building a single model took the better part of a year. The healthcare system knew that a certain percentage of children who present with other health concerns may actually have undiagnosed malnutrition. If they could identify cases of malnutrition, they could intervene and influence outcomes.

About Customer

Phoenix Children’s is one of the nation’s largest pediatric health systems. It comprises Phoenix Children’s Hospital–Main Campus, Phoenix Children’s Hospital–East Valley at Dignity Health Mercy Gilbert Medical Center, four pediatric specialty and urgent care centers, 11 community pediatric practices, 20 outpatient clinics, two ambulatory surgery centers, and six community service-related outpatient clinics throughout the state of Arizona. The system has provided world-class inpatient, outpatient, trauma, emergency, and urgent care to children and families for more than 38 years. Phoenix Children’s Care Network includes more than 850 pediatric primary care providers and specialists who deliver care across more than 75 subspecialties.

Solution

Phoenix Children’s turned to DataRobot AI Cloud to automate its predictive analytics and for ease of use for business and IT users. The solution was deployed on-premise and integrated with the hospital’s Microsoft data and analytics suite, including Microsoft Power BI. The project was up and running within a couple of days. Phoenix Children’s applies DataRobot AI Cloud for both clinical and operational applications. They built a comprehensive dataset based on 10 years of hospital data and used modeling to identify children who may be at-risk for malnutrition. With subsequent nutritionist evaluations of identified patients, they now uncover several patients every week. Phoenix Children’s also turned to DataRobot to predict no-shows for appointments, which traditionally happen about 10 to 20 percent of the time.

Impact #1	Non-data scientists find viable models in minutes.
Impact #2	By predicting cases of possible malnutrition, they uncover 4-5 at-risk children each week.
Impact #3	They identify and proactively fill 9,000 appointments annually that might be missed otherwise.

Impact #1

Non-data scientists find viable models in minutes.

Impact #2

By predicting cases of possible malnutrition, they uncover 4-5 at-risk children each week.

Impact #3

They identify and proactively fill 9,000 appointments annually that might be missed otherwise.

Benefit #1	Uncover 4-5 at-risk children for malnutrition each week.
Benefit #2	Identify and proactively fill 9,000 appointments annually that might be missed otherwise.
Benefit #3	Predict emergency room visits, enabling better staffing adjustments.

Benefit #1

Uncover 4-5 at-risk children for malnutrition each week.

Benefit #2

Identify and proactively fill 9,000 appointments annually that might be missed otherwise.

Benefit #3

Predict emergency room visits, enabling better staffing adjustments.

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Overview

AI Elevates Patient Care at Phoenix Children’s

Operational Impact

Quantitative Benefit