Partners Connected Health and Hitachi Develop an Explainable Ai Technology to Help Doctors Predict Readmissions and Improve...
2017年12月14日 - 12:03PM
JCN Newswire (英)
Partners Connected Health and Hitachi, Ltd. (TSE:6501) today
announced the development of artificial intelligence (AI)
technology by Hitachi, in collaboration with Partners Connected
Health, which can predict with high accuracy, the risk of hospital
readmissions within 30 days for patients with heart failure. The AI
technology helps select appropriate patients to participate in a
readmission prevention program following hospital discharge, and
can explain the reason why patients were identified as being at
high risk. The 30-day readmission rate is regarded as one of the
important indicators in hospital management, and can carry
significant penalties for hospitals via the US Centers for Medicare
and Medicaid (CMS) as part of the Affordable Care Act.
http://www.acnnewswire.com/topimg/Low_PartnersConnectedHitachi.jpg
Example use situation/case of this AI technology in predicting
readmission risk
This technology is an example of explainable AI, a new term
currently defined as enabling machines to explain their decisions
and actions to human users, and enabling them to understand,
appropriately trust and effectively manage AI tools, while
maintaining a high level of prediction accuracy.
"Traditional machine learning can help us predict events, but as
end-users, we can't tell why the machine is predicting something a
certain way," said Kamal Jethwani, MD, MPH, Senior Director,
Partners Connected Health Innovation. "With this innovation,
doctors and nurses using the algorithm will be able to tell exactly
why a certain patient is at high risk for hospital admission, and
what they can do about it. We want to enable our providers to act
on this information, which is a step beyond the state-of-the-art
today, in terms of machine learning algorithms."
As part of the study, the Partners Connected Health Innovation team
simulated the readmission prediction program among heart failure
patients participating in the Partners Connected Cardiac Care
Program (CCCP), a remote monitoring and education program designed
to improve the management of heart failure patients at risk for
hospitalization.
These results were compared to data from approximately 12,000 heart
failure patients hospitalized and discharged from the Partners
HealthCare hospital network in 2014 and 2015. The analysis showed
the prediction algorithm achieved a high accuracy of approximately
AUC 0.71, and can significantly reduce the number of patient
readmissions. (AUC, area under the curve, is a measure of
prediction model performance with an ideal value range from 0 to
1.) As a result, approximately an additional US $7,000 savings per
patient per year among the cohort of CCCP patients can be
expected.
Hitachi's new AI technology uses deep learning to construct this
prediction model. With conventional deep learning models, it is
difficult for users to understand why the AI predicted a particular
outcome. This presents a challenge for its adoption in healthcare.
To address this problem, Hitachi developed a technology for risk
prediction with analyzing the results presented by deep learning
and extracting the several dozens of actionable factors for each
patient from the vast amount of data collected from heart failure
patients. These are elements familiar to clinicians and can support
medical decision-making in clinical practice. Through a standard
statistical approach based on this risk prediction model, the
extracted factors were used to calculate the risk of hospital
readmission, and the relevance of the factors was calculated. Thus,
this explainable AI technology can enhance prediction accuracy and
the quality of medical decision-making.
Hitachi and the Partners Connected Health Innovation team will
jointly conduct a prospective study, which evaluates the prediction
program by clinicians, and study how to integrate this within
clinical workflows. By using this new AI technology, Hitachi will
provide solutions for the medical field, including solutions for
insurance and pharmaceutical companies, emergency services, and
other healthcare services where prediction-based on medical data
can be utilized.
About Partners Connected Health
Partners Connected Health, at Partners HealthCare, is leveraging
information technology - mobile phones, tablets, wearables, sensors
and remote health monitoring tools - to deliver quality patient
care outside of traditional medical settings. Partners Connected
Health programs are also helping providers and patients better
manage chronic conditions, maintain health and wellness and improve
adherence, engagement and clinical outcomes. The Connected Health
team creates and deploys mobile technologies in a number of patient
populations and care settings, and is conducting innovative
research studies to test the effectiveness of mobile health
technologies in various clinical applications, including medication
adherence, care coordination, chronic disease management,
prevention and wellness. Partners HealthCare, an integrated health
system founded by Brigham and Women's Hospital and Massachusetts
General Hospital, includes two academic medical centers, community
and specialty hospitals, a managed care organization, community
health centers, a physician network, home health and long-term care
services, and other health care entities. Partners is a principal
teaching affiliate of Harvard Medical School.
About Hitachi, Ltd.
Hitachi, Ltd. (TSE:6501), headquartered in Tokyo, Japan, delivers
innovations that answer society's challenges with our talented team
and proven experience in global markets. The company's consolidated
revenues for fiscal 2014 (ended March 31, 2015) totaled 9,761
billion yen ($81.3 billion). Hitachi is focusing more than ever on
the Social Innovation Business, which includes power &
infrastructure systems, information & telecommunication
systems, construction machinery, high functional materials &
components, automotive systems, healthcare and others. For more
information on Hitachi, please visit the company's website at
www.hitachi.com.
Source: Hitachi, Ltd.
Contact:
Hitachi Ltd
Corporate Communications
Tel: +81-3-3258-1111
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