Using Cognitive Load Theory to Improve Posthospitalization Follow-Up Visits

Elizabeth M. Harry; Grace H. Shin; Bridget A. Neville; Stuart R. Lipsitz; Gennady M. Gorbovitsky; David W. Bates; Jeffrey L. Schnipper

doi:10.1055/s-0039-1694748

Applied Clinical Informatics, Table of Contents

Appl Clin Inform 2019; 10(04): 610-614
DOI: 10.1055/s-0039-1694748

Letter to the Editor

Georg Thieme Verlag KG Stuttgart · New York

Using Cognitive Load Theory to Improve Posthospitalization Follow-Up Visits

Elizabeth M. Harry

¹Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

²Harvard Medical School, Harvard University, Boston, Massachusetts, United States

,

Grace H. Shin

¹Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

,

Bridget A. Neville

¹Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

,

Stuart R. Lipsitz

¹Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

,

Gennady M. Gorbovitsky

³Partners Healthcare Information Systems, Boston, Massachusetts, United States

,

David W. Bates

¹Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

²Harvard Medical School, Harvard University, Boston, Massachusetts, United States

,

Jeffrey L. Schnipper

¹Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

²Harvard Medical School, Harvard University, Boston, Massachusetts, United States

› Author Affiliations

Abstract

Full Text

References

References
1 Kahneman D. Attention and Effort. Englewood Cliffs, NJ: Prentice-Hall; 1973: 88
2 Hamilton V, Warburton DM, Mandler G. Human stress and cognition: an information processing approach. In: Hamilton V, Warburton DM. , eds. Thought Processes, Consciousness, and Stress. New York: John Wiley & Sons; 1979: 179-201
3 Burgess D. Are providers more likely to contribute to healthcare disparities under high levels of cognitive load? How features of the healthcare setting may lead to biases in medical decision making. Med Decis Making 2010; 30 (02) 246-257
4 Sockolow PS, Bowles KH, Adelsberger MC, Chittams JL, Liao C. Impact of homecare electronic health record on timeliness of clinical documentation, reimbursement, and patient outcomes. Appl Clin Inform 2014; 5 (02) 445-462
5 Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. JAMA 2007; 297 (08) 831-841
6 Ahmed A, Chandra S, Herasevich V, Gajic O, Pickering BW. The effect of two different electronic health record user interfaces on intensive care provider task load, errors of cognition, and performance. Crit Care Med 2011; 39 (07) 1626-1634
7 Phansalkar S, Edworthy J, Hellier E. , et al. A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems. J Am Med Inform Assoc 2010; 17 (05) 493-501
8 Zachariah M, Phansalkar S, Seidling HM. , et al. Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems--I-MeDeSA. J Am Med Inform Assoc 2011; 18 (Suppl. 01) i62-i72
9 Harry E, Pierce R, Kneeland P, Huang G, Stein J, Sweller J. Cognitive load theory and its implications for health care complexity - NEJM catalyst. New England Journal of Medicine: Catalyst. Published 2018. Available at: https://catalyst.nejm.org/cognitive-load-theory-implications-health-care/ . Accessed March 21, 2018
10 Ayres P, Editor A. From the archive: ‘Managing split-attention and redundancy in multimedia instruction’ by S. Kalyuga, P. Chandler, & J. Sweller (1999). Applied Cognitive Psychology, 13, 351–371 with commentary. Appl Cogn Psychol 2011; 25 (S1): S123-S144
11 Xiao YM, Wang ZM, Wang MZ, Lan YJ. The appraisal of reliability and validity of subjective workload assessment technique and NASA-task load index [in Chinese]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2005; 23 (03) 178-181
12 Hart SG, Staveland LE. Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. Adv Psychol 1988; 52: 139-183
13 Warmuth E, Bhattacharya GK, Johnson RA. Statistical concepts and methods. J. Wiley & Sons, New York-Santa Barbara-London-Sydney-Toronto 1977. xv, 639 s., £ 11.25; $ 19. Biometrical J 1980; 22 (04) 371-371
14 Wilson TD. Information overload: implications for healthcare services. Health Informatics J 2001; 7 (02) 112-117
15 Dyrbye LN, West CP, Satele D. , et al. Burnout among U.S. medical students, residents, and early career physicians relative to the general U.S. population. Acad Med 2014; 89 (03) 443-451