Using Aggregate Patient Data at the Bedside via an On-Demand Consultation Service

被引:9
作者
Callahan, Alison [1 ]
Gombar, Saurabh [2 ,3 ]
Cahan, Eli M. [4 ,5 ]
Jung, Kenneth [4 ]
Steinberg, Ethan [6 ]
Polony, Vladimir [4 ,7 ]
Morse, Keith [8 ,9 ]
Tibshirani, Robert [10 ]
Hastie, Trevor [11 ]
Harrington, Robert [4 ]
Shah, Nigam H. [12 ,13 ]
机构
[1] Stanford Univ, Ctr Biomed Informat, Dept Med, Sch Med, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA USA
[3] Atropos Hlth, Palo Alto, CA USA
[4] Stanford Univ, Sch Med, Dept Med, Stanford, CA USA
[5] NYU, Med Sch, New York, NY USA
[6] Stanford Univ, Dept Comp Sci, Stanford, CA USA
[7] Atropos Hlth, Engn, Palo Alto, CA USA
[8] Stanford Childrens Hlth, Clin Informat, Stanford, CA USA
[9] Stanford Univ, Sch Med, Dept Pediat, Hosp Med, Stanford, CA USA
[10] Stanford Univ, Sch Humanities & Sci, Dept Stat, Biomed Data Sci & Stat, Stanford, CA USA
[11] Stanford Univ, Sch Humanities & Sci, Dept Stat, Stat & Biomed Data Sci, Stanford, CA USA
[12] Stanford Univ, Sch Med, Med & Biomed Data Sci, Stanford, CA USA
[13] Stanford Healthcare, Data Sci, Palo Alto, CA USA
来源
NEJM CATALYST INNOVATIONS IN CARE DELIVERY | 2021年 / 2卷 / 10期
关键词
LEARNING HEALTH SYSTEMS; CARE; MEDICINE; STANDARD; THERAPY; MODELS; IMPACT; RECORD; SAFETY; TRIAL;
D O I
10.1056/CAT.21.0224
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Using evidence derived from previously collected medical records to guide patient care has been a long-standing vision of clinicians and informaticians and one with the potential to transform medical practice. As a result of advances in technical infrastructure, statistical analysis methods, and the availability of patient data at scale, an implementation of this vision is now possible. Researchers at Stanford University developed an on-demand consultation service to derive evidence from patient data to answer clinicians' questions and support their bedside decision-making. The authors describe the design and implementation of the service as well as a summary of their experience in responding to the first 100 requests. Consultation results informed individual patient care, resulted in changes to institutional practices, and motivated further clinical research. Stanford makes the tools and methods publicly available to facilitate the broad adoption of such services by health systems and academic medical centers.
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页数:24
相关论文
共 80 条
[1]   Learning statistical models of phenotypes using noisy labeled training data [J].
Agarwal, Vibhu ;
Podchiyska, Tanya ;
Banda, Juan M. ;
Goel, Veena ;
Leung, Tiffany I. ;
Minty, Evan P. ;
Sweeney, Timothy E. ;
Gyang, Elsie ;
Shah, Nigam H. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2016, 23 (06) :1166-1173
[2]  
[Anonymous], 2000, ERR IS HUMAN BUILDIN, DOI DOI 10.17226/9728
[3]  
[Anonymous], 2011, Digital Infrastructure for the Learning Health System: The Foundation for Continuous Improvement in Health and Health Care: Workshop Series Summary
[4]   An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies [J].
Austin, Peter C. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (03) :399-424
[5]   Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models [J].
Banda, Juan M. ;
Seneviratne, Martin ;
Hernandez-Boussard, Tina ;
Shah, Nigam H. .
ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 1, 2018, 1 :53-68
[6]  
Banda Juan M, 2017, AMIA Jt Summits Transl Sci Proc, V2017, P48
[7]   Comparison between procalcitonin and C-reactive protein to predict blood culture results in ICU patients [J].
Bassetti, Matteo ;
Russo, Alessandro ;
Righi, Elda ;
Dolso, Elisabetta ;
Merelli, Maria ;
Cannarsa, Nicola ;
D'Aurizio, Federica ;
Sartor, Assunta ;
Curcio, Francesco .
CRITICAL CARE, 2018, 22
[8]   Funding Innovation in a Learning Health Care System [J].
Bindman, Andrew B. ;
Pronovost, Peter J. ;
Asch, David A. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 319 (02) :119-120
[9]  
Black N, 1996, BRIT MED J, V312, P1215
[10]   Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study [J].
Burn, Edward ;
You, Seng Chan ;
Sena, Anthony G. ;
Kostka, Kristin ;
Abedtash, Hamed ;
Abrahao, Maria Tereza F. ;
Alberga, Amanda ;
Alghoul, Heba ;
Alser, Osaid ;
Alshammari, Thamir M. ;
Aragon, Maria ;
Areia, Carlos ;
Banda, Juan M. ;
Cho, Jaehyeong ;
Culhane, Aedin C. ;
Davydov, Alexander ;
DeFalco, Frank J. ;
Duarte-Salles, Talita ;
DuVall, Scott ;
Falconer, Thomas ;
Fernandez-Bertolin, Sergio ;
Gao, Weihua ;
Golozar, Asieh ;
Hardin, Jill ;
Hripcsak, George ;
Huser, Vojtech ;
Jeon, Hokyun ;
Jing, Yonghua ;
Jung, Chi Young ;
Kaas-Hansen, Benjamin Skov ;
Kaduk, Denys ;
Kent, Seamus ;
Kim, Yeesuk ;
Kolovos, Spyros ;
Lane, Jennifer C. E. ;
Lee, Hyejin ;
Lynch, Kristine E. ;
Makadia, Rupa ;
Matheny, Michael E. ;
Mehta, Paras P. ;
Morales, Daniel R. ;
Natarajan, Karthik ;
Nyberg, Fredrik ;
Ostropolets, Anna ;
Park, Rae Woong ;
Park, Jimyung ;
Posada, Jose D. ;
Prats-Uribe, Albert ;
Rao, Gowtham ;
Reich, Christian .
NATURE COMMUNICATIONS, 2020, 11 (01)