Hersh, MD, FACP, FACMI
Joan Ash, PhD, MLS, MBA, FACMI
Department of Medical Informatics & Clinical
Oregon Health & Science University
Portland, OR, USA
This page presents the
continuation of the Year in Review series of the AMIA Annual
Symposium. The initial
eight years of the series were presented by Daniel Masys, MD.
Starting with the 2014
Hersh, MD and Joan
Ash, PhD assumed leadership of the series, and are
continuing the tradition of maintaining a Web page for each year's
review. The review consists of the most important papers published
during the previous year (October 1, 2013 to September 30, 2014)
as well as the top 10 events for the field.
We made some modifications to the methods employed by Dr. Masys.
Each of us, through our teaching and research activities, spend a
great deal of time monitoring the scientific literature of the
field. Dr. Ash also reviewed papers nominated for the AMIA Diana
Forsythe Award. As in the past, the members of the American
College of Medical Informatics were still surveyed for
nominations. The ultimate decision for inclusion of papers and
events was made by Drs. Hersh and Ash. Clearly picking the "most
important" papers from a vibrant and productive field is
challenging and a subjective endeavor.
We have provided a mechanism for others to provide additional
input. Our session at the AMIA symposium will provide 15-20
minutes for suggestions. Also, as noted below, additional
nominations can be sent by email to Bill as described below.
This section organizes all
papers cited in the order they are presented in the Powerpoint file from the session.
More details about each paper are presented in the slides.
Hsiao, CJ, Marsteller,
JA, et al. (2014). Electronic medical record features and seven
quality of care measures in physician offices. American
Journal of Medical Quality. 29: 44-52.
Wolfson, D, Santa, J, et al. (2014). Engaging physicians and
consumers in conversations about treatment overuse and waste: a
short history of the choosing wisely campaign. Academic
Medicine. 89: 990-995.
Litvin, CB, Ornstein, SM, et al. (2013). Use of an electronic
health record clinical decision support tool to improve antibiotic
prescribing for acute respiratory infections: the ABX-TRIP study.
Journal of General Internal Medicine. 28: 810-816.
Scheepers-Hoeks, AM, Grouls, RJ, et al. (2013). Physicians'
responses to clinical decision support on an intensive care
unit--comparison of four different alerting methods. Artificial
Intelligence in Medicine. 59: 33-38.
Murphy, DR, Laxmisan, A, et al. (2014). Electronic health
record-based triggers to detect potential delays in cancer
diagnosis. BMJ Quality & Safety. 23: 8-16.
Dalal, AK, Roy, CL, et al. (2014). Impact of an automated email
notification system for results of tests pending at discharge: a
cluster-randomized controlled trial. Journal of the American
Medical Informatics Association. 21: 473-480.
Pageler, NM, Longhurst, CA, et al. (2014). Use of electronic
medical record-enhanced checklist and electronic dashboard to
decrease CLABSIs. Pediatrics. 133: e738-e746.
Procop, GW, Yerian, LM, et al. (2014). Duplicate laboratory test
reduction using a clinical decision support tool. American
Journal of Clinical Pathology. 141: 718-723.
Gerber, JS, Prasad, PA,
et al. (2014). Durability of benefits of an outpatient
antimicrobial stewardship intervention after discontinuation of
audit and feedback. Journal of the American Medical
Association. Epub ahead of print.
Barnett, GO, Winickoff, R, et al. (1978). Quality assurance
through automated monitoring and concurrent feedback using a
computer-based medical information system. Medical Care.
Nanji, KC, Slight, SP, et al. (2014). Overrides of
medication-related clinical decision support alerts in
outpatients. Journal of the American Medical Informatics
Association. 21: 487-491.
Spetz, J, Burgess, JF, et al. (2014). The effect of health
information technology implementation in Veterans Health
Administration hospitals on patient outcomes. Healthcare.
Hsiao, CJ, Marsteller, JA, et al. (2014). Electronic medical
record features and seven quality of care measures in physician
offices. American Journal of Medical Quality. 29: 44-52.
Barkhuysen, P, deGrauw, W, et al. (2014). Is the quality of data
in an electronic medical record sufficient for assessing the
quality of primary care? Journal of the American Medical
Informatics Association. 21: 692-698.
Epstein, RH, StJacques,
P, et al. (2013). Automated identification of drug and food
allergies entered using non-standard terminology. Journal of
the American Medical Informatics Association. 20: 962-968.
D'Amore, JD, Mandel, JC, et al. (2014). Are Meaningful Use Stage 2
certified EHRs ready for interoperability? Findings from the SMART
C-CDA Collaborative. Journal of the American Medical
Informatics Association. 21: 1060-1068.
Qualitative and Mixed
O'Cathain, A., Goode, J.,
Drabble, S. J., Thomas, K. J., Rudolph, A., & Hewison, J.
(2014). Getting added value from using qualitative research with
randomized controlled trials: A qualitative interview study.
Trials, 15, 215-6215-15-215.
Talmon et al. STARE-HI Statement on reporting of evaluation
studies in Health Informatics. International Journal of
Medical Informatics. 78: 1-9.
Vosbergen, S., Janzen, J., Stappers, P. J., van Zwieten, M. C.,
Lacroix, J., Idema, K., et al. (2013). A qualitative participatory
study to identify experiences of coronary heart disease patients
to support the development of online self-management services. International
Journal of Medical Informatics, 82(12), 1183-1194.
Greenhalgh, T., Wherton, J., Sugarhood, P., Hinder, S., Procter,
R., & Stones, R. (2013). What matters to older people with
assisted living needs? A phenomenological analysis of the use and
non-use of telehealth and telecare. Social Science &
Medicine (1982), 93, 86-94.
Mahmud, A. J., Olander, E., Eriksen, S., & Haglund, B. J.
(2013). Health communication in primary health care -a case study
of ICT development for health promotion. BMC Medical
Informatics and Decision Making, 13, 17-6947-13-17.
Morgan, A. J., & Trauth, E. M. (2013). Socio-economic
influences on health information searching in the USA: The case of
diabetes. Information Technology and People, 26(4),
Walji, M.F., Kalenderian E., Piotrowski M., Tran D., Kookal K.K.,
Tokede O., et al. (2014). Are three methods better than one? A
comparative assessment of usability evaluation methods in an EHR.
International Journal of Medical Informatics, 83(5),
Devine, M.F., Lee, C.J., et al. (2014). Usability evaluation of
pharmacogenomics clinical decision support aids and clinical
knowledge resources in a computerized provider order entry system:
a mixed methods approach. International Journal of Medical
Informatics, 83(7), 473-483.
Turner, A. M., Reeder, B., & Ramey, J. (2013). Scenarios,
personas and user stories: User-centered evidence-based design
representations of communicable disease investigations. Journal
of Biomedical Informatics, 46(4), 575-584.
Grisot, M., & Vassilakopoulou, P. (2013). Infrastructures in
healthcare: The interplay between generativity and
standardization. International Journal of Medical Informatics,
Ramanathan, N., Swendeman, D., Comulada, W. S., Estrin, D., &
Rotheram-Borus, M. J. (2013). Identifying preferences for mobile
health applications for self-monitoring and self-management: Focus
group findings from HIV-positive persons and young mothers. International
Journal of Medical Informatics, 82(4), e38-46.
Veinot, T. C., Campbell, T. R., Kruger, D. J., & Grodzinski,
A. (2013). A question of trust: User-centered design requirements
for an informatics intervention to promote the sexual health of
African-American youth. Journal of the American Medical
Informatics Association, 20(4), 758-765.
Wyatt S, Harris A, Adams S, Kelly SE. (2013). Illness online:
Self-reported data and questions of trust in medical and social
research. Theory Culture & Society, 30(4), 131-150.
Wentzer, H. S., & Bygholm, A. (2013). Narratives of
empowerment and compliance: Studies of communication in online
patient support groups. International Journal of Medical
Informatics, 82(12), e386-94.
Mort, M., Roberts, C., & Callen, B. (2013). Ageing with
telecare: Care or coercion in austerity? Sociology of Health
& Illness, 35(6), 799-812.
Das, A., & Svanaes, D. (2013). Human-centred methods in the
design of an e-health solution for patients undergoing weight loss
treatment. International Journal of Medical Informatics,
Huh, J., Le, T., Reeder, B., Thompson, H. J., & Demiris, G.
(2013). Perspectives on wellness self-monitoring tools for older
adults. International Journal of Medical Informatics,
Rogers, M. L., Sockolow, P. S., Bowles, K. H., Hand, K. E., &
George, J. (2013). Use of a human factors approach to uncover
informatics needs of nurses in documentation of care.
International Journal of Medical Informatics, 82(11),
Cresswell, K. M., Slee, A., Coleman, J., Williams, R., Bates, D.
W., & Sheikh, A. (2013). Qualitative analysis of round-table
discussions on the business case and procurement challenges for
hospital electronic prescribing systems. PLoS ONE,
Simon, S. R., Keohane, C. A., Amato, M., Coffey, M., Cadet, B.,
Zimlichman, E., et al. (2013). Lessons learned from implementation
of computerized provider order entry in 5 community hospitals: A
qualitative study. BMC Medical Informatics and Decision Making,
McAlearney, A. S., Sieck, C., Hefner, J., Robbins, J., &
Huerta, T. R. (2013). Facilitating ambulatory electronic health
record system implementation: Evidence from a qualitative study. BioMed
Research International, 2013, 629574.
Novak, L. L., Holden, R. J., Anders, S. H., Hong, J. Y., &
Karsh, B. T. (2013). Using a sociotechnical framework to
understand adaptations in health IT implementation. International
Journal of Medical Informatics, 82(12), e331-44.
Wright, A., Ash, J. S., Erickson, J. L., Wasserman, J., Bunce, A.,
Stanescu, A., et al. (2014). A qualitative study of the activities
performed by people involved in clinical decision support:
Recommended practices for success. Journal of the American
Medical Informatics Association, 21(3), 464-472.
Meeks, D. W., Takian, A., Sittig, D. F., Singh, H., & Barber,
N. (2014). Exploring the sociotechnical intersection of patient
safety and electronic health record implementation. Journal of
the American Medical Informatics Association, 21(e1),
Menon S, Singh H, Meyer AN, Belmont E, Sittig DF. Electronic
health record-related safety concerns: A cross-sectional survey. J
Healthc Risk Manag. 2014 Jul;34(1):14-26. doi:
Unertl, K. M., Johnson, K. B., Gadd, C. S., & Lorenzi, N. M.
(2013). Bridging organizational divides in health care: An
ecological view of health information exchange. Journal of
Medical Internet Research, 15(10)
Yu, P., Zhang, Y., Gong, Y., & Zhang, J. (2013). Unintended
adverse consequences of introducing electronic health records in
residential aged care homes. International Journal of Medical
Informatics, 82(9), 772-788.
Alexander, G.L. (2014). Nurse assistant communication strategies
about pressure ulcers in nursing homes. Western Journal of
Nursing Research, online first 20 October 2014.
Davis Giardina, T., Menon, S., Parrish, D. E., Sittig, D. F.,
& Singh, H. (2014). Patient access to medical records and
healthcare outcomes: A systematic review. Journal of the
American Medical Informatics Association, 21(4), 737-741.
Coiera, E. (2014). Communication spaces. Journal of the
American Medical Informatics Association, 21(3), 414-422.
Kane, B., & Luz, S. (2013). "Do no harm": Fortifying MDT
collaboration in changing technological times. International
Journal of Medical Informatics, 82(7), 613-625.
Petersen, L. S., Bertelsen, P., & Bjornes, C. (2013).
Cooperation and communication challenges in small-scale eHealth
development projects. International Journal of Medical
Informatics, 82(12), e375-85.
Mattarelli, E., Bertolotti, F., & MacRì, D. M. (2013). The use
of ethnography and grounded theory in the development of a
management information system. European Journal of Information
Systems, 22(1), 26-44.
Keenan, G., Yakel, E., Dunn Lopez, K., Tschannen, D., & Ford,
Y. B. (2013). Challenges to nurses' efforts of retrieving,
documenting, and communicating patient care information. Journal
of the American Medical Informatics Association, 20(2),
Mentis, H. M., Reddy, M., & Rosson, M. B. (2013). Concealment
of emotion in an emergency room: Expanding design for emotion
awareness. Computer Supported Cooperative Work, 22(1),
Sheehan, B., Nigrovic, L. E., Dayan, P. S., Kuppermann, N.,
Ballard, D. W., Alessandrini, E., et al. (2013). Informing the
design of clinical decision support services for evaluation of
children with minor blunt head trauma in the emergency department:
A sociotechnical analysis. Journal of Biomedical Informatics,
Informatics Beyond the
Personal Health Records
Vodicka, E, Mejilla, R, et al. (2013). Online
access to doctors' notes: patient concerns about privacy. Journal
of Medical Internet Research. 15(9): e208. http://www.jmir.org/2013/9/e208/.
Turvey, C, Klein, D, et al. (2014). Blue Button use by patients
to access and share health record information using the
Department of Veterans Affairs' online patient portal. Journal
of the American Medical Informatics Association. 21:
Chrischilles, EA, Hourcade, JP, et al. (2013). Personal health
records: a randomized trial of effects on elder medication
safety. Journal of the American Medical Informatics
Association. 21: 679-686.
Nundy, S, Dick, JJ, et al. (2014). Mobile phone diabetes project
led to improved glycemic control and net savings for Chicago
plan participants. Health Affairs. 33: 265-272.
Tom, JO, Chen, C, et al. (2014). Personal health record use and
association with immunizations and well-child care visits
recommendations. Journal of Pediatrics. 164: 112-117.
Prey, JE, Woollen, J, et al. (2014). Patient engagement in the
inpatient setting: a systematic review. Journal of the
American Medical Informatics Association. 21: 742-750.
Sarkar, U, Lyles, CR, et al. (2014). Use of the refill function
through an online patient portal is associated with improved
adherence to statins in an integrated health system. Medical
Care. 52: 194-201.
Big Data and Analytics
Tran, T, Luo, W, et al. (2014). Risk
stratification using data from electronic medical records better
predicts suicide risks than clinician assessments. BMC
Psychiatry. 14: 76. http://www.biomedcentral.com/1471-244X/14/76.
Olson, CH, Dierich, M, et al. (2014). Automation of a high risk
medication regime algorithm in a home health care population. Journal
of Biomedical Informatics. 51: 60-71.
Amarasingham, R, Patel, PC, et al. (2013). Allocating scarce
resources in real-time to reduce heart failure readmissions: a
prospective, controlled study. BMJ Quality & Safety.
Lazer, D, Kennedy, R, et al. (2014). Big data. The parable of
Google Flu: traps in big data analysis. Science. 343:
Weng, C, Li, Y, et al.
(2014). A distribution-based method for assessing the differences
between clinical trial target populations and patient populations
in electronic health records. Applied Clinical Informatics.
Walsh, C and Hripcsak, G (2014). The effects of data sources,
cohort selection, and outcome definition on a predictive model of
risk of thirty-day hospital readmissions. Journal of
Biomedical Informatics: Epub ahead of print.
Agaku, IT, Adisa, AO, et
al. (2014). Concern about security and privacy, and perceived
control over collection and use of health information are related
to withholding of health information from healthcare providers. Journal
of the American Medical Informatics Association. 21:
Rogith, D, Yusuf, RA, et al. (2014). Attitudes regarding privacy
of genomic information in personalized cancer therapy. Journal
of the American Medical Informatics Association. 21(e2):
Bobicev, V, Sokolova, M, et al. (2013). Can anonymous posters on
medical forums be reidentified? Journal of Medical Internet
Research. 15(10): e215. http://www.jmir.org/2013/10/e215/.
Del Fiol, G, Workman, TE,
et al. (2014). Clinical questions raised by clinicians at the
point of care: a systematic review. JAMA Internal Medicine.
Kim, S, Noveck, H, et al. (2014). Searching for answers to
clinical questions using Google versus evidence-based summary
resources: a randomized controlled crossover study. Academic
Medicine. 89: 940-943.
Becker, JE, Krumholz, HM, et al. (2014). Reporting of results in
ClinicalTrials.gov and high-impact journals. Journal of the
American Medical Association. 311: 1063-1065.
Hasty, RT, Garbalosa, RC, et al. (2014). Wikipedia vs
peer-reviewed medical literature for information about the 10 most
costly medical conditions. Journal of the American Osteopathic
Association. 114: 368-373.
Spasić, I, Livsey, J, et al. (2014). Text mining of cancer-related
information: review of current status and future directions. International
Journal of Medical Informatics. 83: 605-623.
Spangler, S, Wilkins, AD, et al. (2014). Automated hypothesis
generation based on mining scientific literature. Proceedings
of the 20th ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining. ACM Press. 1877-1886.
He, Z, Ochs, C, et al. (2013). A family-based framework for
supporting quality assurance of biomedical ontologies in
BioPortal. AMIA Annual Symposium Proceedings, Washington,
Adler-Milstein, J and
Jha, AK (2014). Health information exchange among U.S. hospitals:
who's in, who's out, and why? Healthcare. 2: 26-32.
Furukawa, MF, King, J, et al. (2014). Despite substantial progress
in EHR adoption, health information exchange and patient
engagement remain low in office settings. Health Affairs.
Ross, SE, Radcliff, TA, et al. (2013). Effects of health
information exchange adoption on ambulatory testing rates. Journal
of the American Medical Informatics Association. 20:
Vest, JR, Kern, LM, et al. (2014). Association between use of a
health information exchange system and hospital admissions. Applied
Clinical Informatics. 5: 219-231.
Winden, TJ, Boland, LL, et al. (2014). Care Everywhere, a
point-to-point HIE tool: utilization and impact on patient care in
the ED. Applied Clinical Informatics. 5: 388-401.
Bernocchi, P, Scalvini,
S, et al. (2014). Home based telemedicine intervention for
patients with uncontrolled hypertension--a real life
non-randomized study. BMC Medical Informatics & Decision
Making. 14: 52. http://www.biomedcentral.com/1472-6947/14/52/.
Bashshur, RL, Shannon, GW, et al. (2014). The empirical
foundations of telemedicine interventions for chronic disease
management. Telemedicine and e-Health. 20: 769-800.
Low, AF, Phillips, AB, et
al. (2013). Financial effects of health information technology: a
systematic review. American Journal of Managed Care. 19(10
Spec No): SP369-SP376.
Ingebrigtsen, T, Georgiou, A, et al. (2014). The impact of
clinical leadership on health information technology adoption:
systematic review. International Journal of Medical
Informatics. 83: 393-405.
Health IT Workforce
Schwartz, A, Magoulas, R,
et al. (2013). Tracking labor demand with online job postings: the
case of health IT workers and the HITECH Act. Industrial
Relations: A Journal of Economy and Society. 52: 941–968.
Hersh, WR, Gorman, PN, et al. (2014). Beyond information retrieval
and EHR use: competencies in clinical informatics for medical
education. Advances in Medical Education and Practice. 5:
Röhrig, R, Stausberg, J, et al. (2013). Development of national
competency-based learning objectives "Medical Informatics" for
undergraduate medical education. Methods of Information in
Medicine. 52: 184-188.