{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T12:13:25Z","timestamp":1762604005854,"version":"3.37.3"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"e1","funder":[{"DOI":"10.13039\/100000092","name":"US National Library of Medicine","doi-asserted-by":"publisher","award":["1K99LM012104"],"award-info":[{"award-number":["1K99LM012104"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007812","name":"University of Washington","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007812","id-type":"DOI","asserted-by":"publisher"}]},{"name":"intramural research program","award":["T15LM00707","T15LM007442"],"award-info":[{"award-number":["T15LM00707","T15LM007442"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,1]]},"abstract":"<jats:p>The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.<\/jats:p>","DOI":"10.1093\/jamia\/ocw103","type":"journal-article","created":{"date-parts":[[2016,8,8]],"date-time":"2016-08-08T00:08:11Z","timestamp":1470614891000},"page":"e185-e190","source":"Crossref","is-referenced-by-count":19,"title":["Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics"],"prefix":"10.1093","volume":"24","author":[{"given":"Kirk","family":"Roberts","sequence":"first","affiliation":[{"name":"US National Library of Medicine, Bethesda, Maryland"},{"name":"School of Biomedical Informatics, University of Texas Health Science Center at Houston"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mary Regina","family":"Boland","sequence":"additional","affiliation":[{"name":"Department of Systems Biology, Columbia University, New York"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisiane","family":"Pruinelli","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Minnesota, Minneapolis"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jina","family":"Dcruz","sequence":"additional","affiliation":[{"name":"US Centers for Disease Control and Prevention, Atlanta, Georgia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Berry","sequence":"additional","affiliation":[{"name":"Department of Human Centered Design and Engineering, University of Washington, Seattle"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mattias","family":"Georgsson","sequence":"additional","affiliation":[{"name":"Department of Applied Health Technology, Blekinge Institute of Technology, Blekinge, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca","family":"Hazen","sequence":"additional","affiliation":[{"name":"Department of Biomedical and Health Informatics, University of Washington"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raymond F","family":"Sarmiento","sequence":"additional","affiliation":[{"name":"US Centers for Disease Control and Prevention, Atlanta, Georgia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Uba","family":"Backonja","sequence":"additional","affiliation":[{"name":"Department of Biomedical and Health Informatics, University of Washington"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun-Hsing","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Stanford University School of Medicine, Stanford, California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Systems, Population, and Leadership, University of Michigan School of Nursing, Ann Arbor,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patricia Flatley","family":"Brennan","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Wisconsin-Madison"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2016,8,7]]},"reference":[{"author":"Masys","key":"2020110612433431500_ocw103-B1"},{"author":"Hersh","key":"2020110612433431500_ocw103-B2"},{"key":"2020110612433431500_ocw103-B3","first-page":"1","volume-title":"Yearb Med Inform","author":"IMIA","year":"2015"},{"issue":"5","key":"2020110612433431500_ocw103-B4","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1093\/jamia\/ocv066","article-title":"Report of the AMIA EHR 2020 Task Force on the Status and Future Direction of EHRs","volume":"22","author":"Payne","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"1","key":"2020110612433431500_ocw103-B5","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1136\/amiajnl-2014-002726","article-title":"Electronic health records improve clinical note quality","volume":"22","author":"Burke","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"1","key":"2020110612433431500_ocw103-B6","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1177\/1460458213503646","article-title":"Using electronic health record systems to optimize admission decisions: the Creatinine case study","volume":"21","author":"Ben-Assuli","year":"2015","journal-title":"Health Inform J."},{"issue":"1","key":"2020110612433431500_ocw103-B7","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1001\/jamasurg.2014.947","article-title":"Using electronic health records for surgical quality improvement in the era of big data","volume":"150","author":"Anderson","year":"2015","journal-title":"JAMA Surgery."},{"issue":"5","key":"2020110612433431500_ocw103-B8","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.acap.2014.03.017","article-title":"Enhancing the electronic health record to increase counseling and quit-line referral for parents who smoke","volume":"14","author":"Sharifi","year":"2014","journal-title":"Acad Pediatrics."},{"issue":"5","key":"2020110612433431500_ocw103-B9","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1093\/jamia\/ocv041","article-title":"Assessing information system readiness for mitigating malpractice risk through simulation: results of a multi-site study","volume":"22","author":"Wright","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"8","key":"2020110612433431500_ocw103-B10","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.ijmedinf.2015.04.002","article-title":"Impact of electronic health record technology on the work and work\ufb02ow of physicians in the intensive care unit","volume":"84","author":"Carayon","year":"2015","journal-title":"Int J Med Inform."},{"issue":"11","key":"2020110612433431500_ocw103-B11","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1016\/j.ijmedinf.2014.07.007","article-title":"Contingency planning for electronic health record\u2013based care continuity: a survey of recommended practices","volume":"83","author":"Sittig","year":"2014","journal-title":"Int J Med Inform."},{"issue":"Supplement:","key":"2020110612433431500_ocw103-B12","doi-asserted-by":"crossref","first-page":"S67","DOI":"10.1016\/j.jbi.2015.07.001","article-title":"Identifying risk factors for heart disease over time: overview of 2014 i2b2\/uthealth shared task track 2","volume":"58","author":"Stubbs","year":"2015","journal-title":"J Biomed Inform."},{"issue":"3","key":"2020110612433431500_ocw103-B13","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1093\/jamia\/ocu041","article-title":"Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features","volume":"22","author":"Nikfarjam","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"1","key":"2020110612433431500_ocw103-B14","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1093\/jamia\/ocv044","article-title":"RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials","volume":"23","author":"Marshall","year":"2015","journal-title":"J Am Med Inform Assoc."},{"key":"2020110612433431500_ocw103-B15","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.jbi.2015.04.009","article-title":"Development, implementation and evaluation of an information model for archetype based user responsive medical data visualization","volume":"55","author":"Kopanitsa","year":"2015","journal-title":"J Biomed Inform."},{"issue":"2","key":"2020110612433431500_ocw103-B16","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1136\/amiajnl-2014-002965","article-title":"Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization","volume":"22","author":"Warner","year":"2015","journal-title":"J Am Med Inform Assoc."},{"key":"2020110612433431500_ocw103-B17","doi-asserted-by":"crossref","first-page":"g7785","DOI":"10.1136\/bmj.g7785","article-title":"US experience with doctors and patients sharing clinical notes","volume":"350","author":"Walker","year":"2015","journal-title":"BMJ,."},{"issue":"2","key":"2020110612433431500_ocw103-B18","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1136\/amiajnl-2014-003144","article-title":"VA OpenNotes: exploring the experiences of early patient adopters with access to clinical notes","volume":"22","author":"Nazi","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"8","key":"2020110612433431500_ocw103-B19","first-page":"378","article-title":"Connecting patients and clinicians: the anticipated effects of open notes on patient safety and quality of care","volume":"41","author":"Bell","year":"2015","journal-title":"Jt Comm J Qual Patient Saf."},{"issue":"5","key":"2020110612433431500_ocw103-B20","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1001\/jamainternmed.2015.121","article-title":"Patient access to electronic health records during hospitalization","volume":"175","author":"Pell","year":"2015","journal-title":"JAMA Intern Med."},{"key":"2020110612433431500_ocw103-B21","doi-asserted-by":"crossref","first-page":"S7","DOI":"10.1007\/s11606-014-3049-9","article-title":"Designing a patient-centered user interface for access decisions about EHR data: implications from patient interviews","volume":"30","author":"Caine","year":"2015","journal-title":"J Gen Intern Med."},{"key":"2020110612433431500_ocw103-B22","doi-asserted-by":"crossref","first-page":"S17","DOI":"10.1007\/s11606-014-3055-y","article-title":"Designing a system for patients controlling providers\u2019 access to their electronic health records: organizational and technical challenges","volume":"30","author":"Leventhal","year":"2015","journal-title":"J Gen Intern Med."},{"volume-title":"Best Care at Lower Cost: The Path to Continuously Learning Health Care in America","year":"2013","author":"Institute of Medicine","key":"2020110612433431500_ocw103-B23"},{"key":"2020110612433431500_ocw103-B24","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.jbi.2015.05.003","article-title":"Supporting information retrieval from electronic health records: a report of University of Michigan\u2019s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE)","volume":"55","author":"Hanauer","year":"2014","journal-title":"J Biomed Inform."},{"key":"2020110612433431500_ocw103-B25","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1093\/jamia\/ocv034","article-title":"Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources","volume":"22","author":"Yu","year":"2015","journal-title":"J Am Med Inform Assoc."},{"key":"2020110612433431500_ocw103-B26","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1093\/jamia\/ocv010","article-title":"Expert guided natural language processing using one-class classification","volume":"22","author":"Joffe","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"e1","key":"2020110612433431500_ocw103-B27","doi-asserted-by":"crossref","first-page":"e141","DOI":"10.1093\/jamia\/ocu050","article-title":"Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials","volume":"22","author":"Miotto","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"10","key":"2020110612433431500_ocw103-B28","doi-asserted-by":"crossref","first-page":"e0140271","DOI":"10.1371\/journal.pone.0140271","article-title":"Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange","volume":"10","author":"Hao","year":"2015","journal-title":"PLoS ONE."},{"issue":"3","key":"2020110612433431500_ocw103-B29","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1097\/MLR.0000000000000315","article-title":"Predicting 30-day readmissions with preadmission electronic health record data","volume":"53","author":"Shadmi","year":"2015","journal-title":"Medical Care."},{"issue":"4","key":"2020110612433431500_ocw103-B30","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1093\/jamia\/ocv024","article-title":"Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis","volume":"22","author":"Perotte","year":"2015","journal-title":"J Am Med Inform Assoc."},{"key":"2020110612433431500_ocw103-B31","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.jbi.2014.11.005","article-title":"Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration","volume":"53","author":"Singh","year":"2015","journal-title":"J Biomed Inform."},{"key":"2020110612433431500_ocw103-B32","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.jbi.2015.09.005","article-title":"A probabilistic topic model for clinical risk stratification from electronic health records","volume":"58","author":"Huang","year":"2015","journal-title":"J Biomed Inform."},{"issue":"12","key":"2020110612433431500_ocw103-B33","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.1002\/nbm.3156","article-title":"Advances in functional and structural imaging of the human lung using proton MRI","volume":"27","author":"Miller","year":"2014","journal-title":"NMR Biomed."},{"key":"2020110612433431500_ocw103-B34","doi-asserted-by":"crossref","first-page":"e0127428","DOI":"10.1371\/journal.pone.0127428","article-title":"Personalized mortality prediction driven by electronic medical data and a patient similarity metric","volume":"10(5)","author":"Lee","year":"2015","journal-title":"PLoS ONE."},{"issue":"7","key":"2020110612433431500_ocw103-B35","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1016\/j.apmr.2015.02.020","article-title":"Geographic and facility variation in inpatient stroke rehabilitation: multilevel analysis of functional status","volume":"96","author":"Reistetter","year":"2015","journal-title":"Arch Phys Med Rehabil."},{"issue":"6","key":"2020110612433431500_ocw103-B36","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1136\/amiajnl-2014-002777","article-title":"Don\u2019t fuel the fire: decreasing intravenous haloperidol use in high risk patients via a customized electronic alert","volume":"21","author":"Pell","year":"2014","journal-title":"J Am Med Inform Assoc."},{"issue":"2","key":"2020110612433431500_ocw103-B37","first-page":"13","article-title":"Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm","volume":"5","author":"Kirkendall","year":"2014","journal-title":"Appl Clin Inform."},{"issue":"3","key":"2020110612433431500_ocw103-B38","doi-asserted-by":"crossref","first-page":"773","DOI":"10.4338\/ACI-2014-04-RA-0040","article-title":"Optimization of decision support tool using medication regimens to assess rehospitalization risks","volume":"5","author":"Olson","year":"2014","journal-title":"Appl Clin Inform."},{"issue":"3","key":"2020110612433431500_ocw103-B39","doi-asserted-by":"crossref","first-page":"836","DOI":"10.4338\/ACI-2014-04-RA-0026","article-title":"Patient no-show predictive model development using multiple data sources for an effective overbooking approach","volume":"5","author":"Huang","year":"2014","journal-title":"Appl Clin Inform."},{"issue":"2","key":"2020110612433431500_ocw103-B40","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1136\/amiajnl-2014-002955","article-title":"Innovative information visualization of electronic health record data: a systematic review","volume":"22","author":"West","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"1","key":"2020110612433431500_ocw103-B41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1472-6947-14-51","article-title":"Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research","volume":"14","author":"Rusanov","year":"2014","journal-title":"BMC Med Inform Decis Mak."},{"issue":"4","key":"2020110612433431500_ocw103-B42","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1093\/jamia\/ocu051","article-title":"Parameterizing time in electronic health record studies","volume":"22","author":"Hripcsak","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"4","key":"2020110612433431500_ocw103-B43","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1093\/jamia\/ocv035","article-title":"Informatics to support the IOM Social and Behavioral Domains and Measures","volume":"22","author":"Hripcsak","year":"2015","journal-title":"J Am Med Inform Assoc."},{"key":"2020110612433431500_ocw103-B44","first-page":"461","article-title":"The study on the development of decision support systems in response to catastrophic social risks","volume":"109","author":"Xie","year":"2014"},{"issue":"5","key":"2020110612433431500_ocw103-B45","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1093\/jamia\/ocv046","article-title":"Birth month affects lifetime disease risk: a phenome-wide method","volume":"22","author":"Boland","year":"2015","journal-title":"J Am Med Inform Assoc."},{"issue":"6","key":"2020110612433431500_ocw103-B46","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1007\/s10278-014-9698-8","article-title":"Integrated image data and medical record management for rare disease registries. A general framework and its instantiation to the German Calciphylaxis Registry","volume":"27","author":"Deserno","year":"2014","journal-title":"J Digit Imaging."},{"issue":"6","key":"2020110612433431500_ocw103-B47","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1136\/amiajnl-2013-002230","article-title":"BigMouth: a multi-institutional dental data repository","volume":"21","author":"Walji","year":"2014","journal-title":"J Am Med Inform Assoc."},{"issue":"2","key":"2020110612433431500_ocw103-B48","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.radonc.2013.11.001","article-title":"International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining","volume":"110","author":"Roelofs","year":"2014","journal-title":"Radiotherapy Oncol."},{"issue":"2","key":"2020110612433431500_ocw103-B49","doi-asserted-by":"crossref","first-page":"e7","DOI":"10.2196\/publichealth.4488","article-title":"Identifying adverse effects of HIV drug treatment and associated sentiments using Twitter","volume":"1","author":"Adrover","year":"2015","journal-title":"JMIR Public Health Surveill."},{"key":"2020110612433431500_ocw103-B50","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jbi.2015.02.004","article-title":"Utilizing social media data for pharmacovigilance: a review","volume":"54","author":"Sarker","year":"2015","journal-title":"J Biomed Inform."},{"issue":"8","key":"2020110612433431500_ocw103-B51","doi-asserted-by":"crossref","first-page":"e202","DOI":"10.2196\/jmir.4209","article-title":"\u201cYou Get Reminded You\u2019re a Sick Person\u201d: personal data tracking and patients with multiple chronic conditions","volume":"17","author":"Ancker","year":"2015","journal-title":"J Med Internet Res."},{"issue":"5","key":"2020110612433431500_ocw103-B52","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.ijmedinf.2015.01.014","article-title":"Exploring patients\u2019 health information communication practices with social network members as a foundation for consumer health IT design","volume":"84","author":"Valdez","year":"2015","journal-title":"Int J Med Inform."},{"issue":"8","key":"2020110612433431500_ocw103-B53","doi-asserted-by":"crossref","first-page":"e203","DOI":"10.2196\/jmir.4364","article-title":"More than telemonitoring: health provider use and nonuse of life-log data in irritable bowel syndrome and weight management","volume":"17","author":"Chung","year":"2015","journal-title":"J Med Internet Res."},{"issue":"5","key":"2020110612433431500_ocw103-B54","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1089\/tmj.2014.0142","article-title":"Meaningful use: a national framework for integrated telemedicine","volume":"21","author":"Vo","year":"2015","journal-title":"Telemed J E Health."}],"container-title":["Journal of the American Medical Informatics Association"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/jamia\/article-pdf\/24\/e1\/e185\/34149501\/ocw103.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/jamia\/article-pdf\/24\/e1\/e185\/34149501\/ocw103.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T09:41:22Z","timestamp":1657014082000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jamia\/article\/24\/e1\/e185\/2631490"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,7]]},"references-count":54,"journal-issue":{"issue":"e1","published-online":{"date-parts":[[2016,8,7]]},"published-print":{"date-parts":[[2017,4,1]]}},"URL":"https:\/\/doi.org\/10.1093\/jamia\/ocw103","relation":{},"ISSN":["1067-5027","1527-974X"],"issn-type":[{"type":"print","value":"1067-5027"},{"type":"electronic","value":"1527-974X"}],"subject":[],"published-other":{"date-parts":[[2017,4]]},"published":{"date-parts":[[2016,8,7]]}}}