MANHASSET, N.Y.--(BUSINESS WIRE)--Hospitalized adult patients whose medical conditions worsen after being admitted, requiring escalation of care, such as transfer to the intensive care unit (ICU) or intervention of a rapid response team, may benefit from monitoring by artificial intelligence (AI). Scientists at The Feinstein Institutes for Medical Research were recently awarded $3.1 million from the National Institutes of Health (NIH) to fund a new study that would harness AI and machine learning (ML) to help doctors and nurses monitor patients in busy medical and surgical wards to identify and prevent deterioration and ultimately improve patient outcomes..

MANHASSET，N.Y.-（BUSINESS WIRE）-入院后病情恶化的住院成年患者，需要升级护理，例如转入重症监护病房（ICU）或快速反应小组的干预，可能会受益于人工智能（AI）的监控。Feinstein医学研究所的科学家最近获得了美国国立卫生研究院（NIH）310万美元的资助，用于资助一项新研究，该研究将利用AI和机器学习（ML）帮助医生和护士监测繁忙的医疗和外科病房的患者。识别和预防恶化，最终改善患者预后。。

The study team is led by Theodoros Zanos, PhD, associate professor at the Feinstein’s Institute of Health System Science and Institute of Bioelectronic Medicine, and includes Karina Davidson PhD, Michael Oppenheim MD, Alex Makhnevich MD, Beth Friedman RN, and others at the Feinstein Institutes and Northwell Health, New York’s largest health system.

该研究小组由Feinstein卫生系统科学研究所和生物电子医学研究所副教授Theodoros Zanos博士领导，其中包括Karina Davidson博士，Michael Oppenheim医学博士，Alex Makhnevich医学博士，Beth Friedman RN等。Feinstein研究所和纽约最大的卫生系统Northwell Health。

The group will develop and implement ML models with the goal of improving the monitoring of patients once they are admitted in order to identify who might undergo a rapid decline to address it sooner..

该小组将开发和实施ML模型，目的是改善患者入院后的监测，以确定谁可能会迅速下降以更快地解决问题。。

“Some patients who are admitted for one condition are not explicitly showing symptoms of other concerns, which can lead to their health deteriorating and even dying,” said Dr. Zanos. “This research will leverage vast patient data, new continuous monitoring technologies and AI to identify those often-unidentified risks and subtle early worrisome trends and enable life-saving interventions.”.

Zanos博士说：“一些因一种疾病入院的患者没有明确表现出其他问题的症状，这可能导致他们的健康恶化甚至死亡。”。“这项研究将利用大量患者数据，新的持续监测技术和人工智能来识别那些通常无法识别的风险和微妙的早期令人担忧的趋势，并实现挽救生命的干预措施。”。

Dr. Zanos and his team will turn to Northwell’s large, diverse clinical dataset using electronic health records (EHRs) from more than 2.4 million hospitalizations to generate ML predictive models. The clinical support tools will help clinicians and nurses identify in advance patients at risk of deterioration and clinical reasons to enable timely interventions.

Zanos博士和他的团队将使用来自240多万住院治疗的电子健康记录（EHR）转向Northwell的大型多样化临床数据集，以生成ML预测模型。临床支持工具将帮助临床医生和护士提前识别有恶化风险和临床原因的患者，以便及时进行干预。

These tools also will identify those patients who are more stable. The study will collect and leverage patient data using a continuous monitoring (CM) device, the VitalConnect VitalPatch, that will be placed on patients upon admission to the hospital, to develop more accurate prediction models..

这些工具还将识别那些更稳定的患者。该研究将使用连续监测（CM）设备VitalConnect VitalPatch收集和利用患者数据，该设备将在入院时放置在患者身上，以开发更准确的预测模型。。

“Merging data and technology, researchers and clinicians can work together to develop new tools to improve patient outcomes,” said Kevin J. Tracey, MD, president and CEO of the Feinstein Institutes and Karches Family Distinguished Chair in Medical Research. “Dr. Zanos’ study will harness the use of artificial intelligence to better inform and deliver care.”.

Feinstein研究所总裁兼首席执行官，Karches家族医学研究杰出主席Kevin J.Tracey博士说：“合并数据和技术，研究人员和临床医生可以共同努力开发新工具来改善患者预后。”。“Zanos博士的研究将利用人工智能更好地告知和提供护理。”。

Dr. Zanos is a leader in health care AI. His research revolves around developing algorithms that will enable early diagnosis, disease severity assessment, personalization and adaptability of effective therapies. In 2020, he and his lab developed a digital tool that predicts a hospitalized patient’s overnight stability and determines whether they could be left undisturbed overnight to sleep, recover and discharge faster.

Zanos博士是医疗保健AI的领导者。他的研究围绕着开发能够实现早期诊断，疾病严重程度评估，个性化和有效疗法适应性的算法。2020年，他和他的实验室开发了一种数字工具，可以预测住院患者的夜间稳定性，并确定他们是否可以在一夜之间不受干扰地睡觉，恢复和排出得更快。

This vital sign monitoring tool, called “Let Sleeping Patients Lie,” used a vast body of clinical data from the patient visits, including respiratory rate, heart rate, systolic blood pressure, body temperature and age..

这种称为“让睡眠患者躺下”的生命体征监测工具使用了来自患者就诊的大量临床数据，包括呼吸频率，心率，收缩压，体温和年龄。。

Last year, Dr. Zanos published in Nature Communications results of a two-and-a-half-year-long study which used 35,000 COVID-19 diverse patients to develop a new digital clinical support tool that accurately predicts a patient’s outcomes and aids in clinical care decision-making.

去年，Zanos博士在Nature Communications上发表了一项为期两年半的研究结果，该研究使用35000名COVID-19不同患者开发新的数字临床支持工具，可准确预测患者的预后和艾滋病在临床护理决策中。

The Feinstein Institutes continues to invest in the use of technology and artificial intelligence to help improve patient outcomes and bridge health disparities. Most recently, the Feinstein Institutes received a $10 million gift from Scott and Debby Rechler to create the Scott and Debby Rechler Center for Health Outcomes within the Institute of Health System Science..

Feinstein研究所继续投资于技术和人工智能的使用，以帮助改善患者预后并弥合健康差距。最近，Feinstein研究所收到Scott和Debby Rechler的1000万美元礼物，用于在卫生系统科学研究所内创建Scott和Debby Rechler健康结果中心。。

About the Feinstein Institutes

关于费恩斯坦研究所

The Feinstein Institutes for Medical Research is the home of the research institutes of Northwell Health, the largest health care provider and private employer in New York State. Encompassing 50 research labs, 3,000 clinical research studies and 5,000 researchers and staff, the Feinstein Institutes raises the standard of medical innovation through its five institutes of behavioral science, bioelectronic medicine, cancer, health system science, and molecular medicine.

Feinstein医学研究所是Northwell Health研究所的所在地，Northwell Health是纽约州最大的医疗保健提供者和私人雇主。Feinstein研究所包括50个研究实验室，3000个临床研究研究和5000名研究人员和工作人员，通过其五个行为科学，生物电子医学，癌症，卫生系统科学和分子医学研究所提高了医学创新标准。

We make breakthroughs in genetics, oncology, brain research, mental health, autoimmunity, and are the global scientific leader in bioelectronic medicine – a new field of science that has the potential to revolutionize medicine. For more information about how we produce knowledge to cure disease, visit http://feinstein.northwell.edu and follow us on LinkedIn..

我们在遗传学，肿瘤学，大脑研究，心理健康，自身免疫方面取得突破，并且是生物电子医学领域的全球科学领导者-这是一个有可能彻底改变医学的新科学领域。有关我们如何产生治愈疾病的知识的更多信息，请访问http://feinstein.northwell.edu然后跟随我们LinkedIn。。