Perspectives

Inverted Pyramid of Inpatient Consultation in the Academic Hospital

Authors: C. Matthew Stewart, MD, MPH

Abstract

A common scenario in inpatient medicine is an admitting team asking another medical team for advice: the inpatient consultation. For many faculty, the next steps are a mystery managed by residents because in the academic hospital, both the initial consultation requisition and the response often are initiated by residents. In any given hospital the mechanisms to find out who is on call for a particular question and how to contact that person is an exercise of human factors engineering and workflow mapping. The internal cognitive tasks rely on human knowledge, experience, and cognitive skill, and the external factors may include hospital operators, lists of telephone numbers, or computer-based order entry or Web-based consultation mechanisms. These external factors should minimize task difficulty by supporting the internal processes of decision making but may increase workload and task difficulty with poor or suboptimal system design. For a given inpatient in your hospital, imagine sketching out the workflow steps for every possible consultation you could request.

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References

1. Pfuntner A, Wier LM, Elixhauser A. Overview of hospital stays in the United States, 2011. HCUP statistical brief no. 166. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb166.pdf. Published November 2013. Accessed April 16, 2015.
 
2. Grace C, Alston WK, Ramundo M, et al. The complexity, relative value, and financial worth of curbside consultations in an academic infectious diseases unit. Clin Infect Dis 2010;51:651-655.
 
3. Burden M, Sarcone E, Keniston A, et al. Prospective comparison of curbside versus formal consultations. J Hosp Med 2013;8:31-35.
 
4. Centers for Medicare & Medicaid Services. Revisions to consultation services payment policy, Medicare Learning Network (MLN no. MM6740). http://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNMattersArticles/downloads/mm6740.pdf. Published December 14, 2009. Accessed April 16, 2015.
 
5. Harvard School of Public Health, Mathematica Policy Research, RobertWood Johnson Foundation. Health information technology in the United States: better information systems for better care, 2013. http://www.rwjf.org/content/dam/farm/reports/reports/2013/rwjf406758. Published 2013. Accessed April 16, 2015.
 
6. Karsh BT, Weinger MB, Abbott PA, et al. Health information technology: fallacies and sober realities. J Am Med Inform Assoc 2010;17:617-623.
 
7. Jones SS, Rudin RS, Perry T, et al. Health information technology: an updated systematic review with focus on meaningful use. Ann Intern Med 2014;160:48Y-54.
 
8. ECRI Institute. Top 10 patient safety concerns for healthcare organizations, 2014. https://www.ecri.org/Pages/Top-10-Patient-Safety-Concerns.aspx. Published April 22, 2014. Accessed April 16, 2015.
 
9. Friedberg MW, Chen PG, Van Busum KR, et al. Factors affecting physician professional satisfaction and their implications for patient care, health systems, and health policy. RAND Corporation. http://www.rand.org/content/dam/rand/pubs/research_reports/RR400/RR439/RAND_RR439.sum.pdf. Published 2013. Accessed April 16, 2015.
 
10. Berwick DM. A user’s manual for the IOM’s ‘‘Quality Chasm’’ report. Health Aff (Millwood) 2002;21:80-90.