Transforming Hospital Emergency Department Workflow and Patient Care

References

• Allaudeen N, Vidyarthi A, Maselli J, Auerbach A (2011a) Redefining readmission risk factors for general medicine patients. J. Hospital Medicine 6(2):54–60.Crossref, Google Scholar
• Allaudeen N, Schnipper JL, Orav EJ, Wachter RM, Vidyarthi AR (2011b) Inability of providers to predict unplanned readmissions. J. General Internal Medicine 26(7):771–776.Crossref, Google Scholar
• American College of Emergency Physicians (2014) National Report Card. Press release: Nation’s grade drops to a dismal D+ for failure to support emergency patients. Accessed September 7, 2014, http://www.emreportcard.org/Content.aspx?id=534.Google Scholar
• American Trauma Society (2014) Trauma center levels explained. Accessed August 18, 2014, http://www.amtrauma.org/?page=TraumaLevels.Google Scholar
• Ashby M, Ferrin D, Miller M, Shahi N (2008) Discrete event simulation: Optimizing patient flow and redesign in a replacement facility. Accessed September 7, 2014, http://www.informs-sim.org/wsc08papers/200.pdf.Google Scholar
• Bahensky JA, Roe J, Bolton R (2005) Lean sigma-will it work for healthcare? J. Healthcare Information Management 19(1):39–44.Google Scholar
• Benbassat J, Taragin M (2000) Hospital readmissions as a measure of quality of health care: Advantages and limitations. Arch. Internal Medicine 160(8):1074–1081.Crossref, Google Scholar
• Billings J, Dixon J, Mijanovich T, Wennberg D (2006) Case finding for patients at risk of readmission to hospital: Development of algorithm to identify high risk patients. BMJ 333(7563):327.Crossref, Google Scholar
• Brooks JP, Lee EK (2010) Analysis of the consistency of a mixed integer programming-based multi-category constrained discriminant model. Ann. Oper. Res. Data Mining 174(1):147–168.Crossref, Google Scholar
• Brooks JP, Lee EK (2014) Solving a multigroup mixed-integer programming-based constrained discrimination model. INFORMS J. Comput. 26(3):567–585.Link, Google Scholar
• Centers for Disease Control (2010) National hospital ambulatory medical care survey: 2010 emergency department summary tables. Accessed August 20, 2014, http://www.cdc.gov/nchs/data/ahcd/nhamcs_emergency/2010_ed_web_tables.pdf.Google Scholar
• Davidson G, Moscovice I, Remus D (2007) Hospital size, uncertainty and pay-for-performance. Health Care Financing Rev. 29(1):45–57.Google Scholar
• DeFlitch C, Eitel D, Geeting G, Cherukuri R, Escott M, Smith J, Arnold J, Paul SA (2007) Physician directed queuing (PDQ) improves health care delivery in the ED: Early results. Ann. Emergency Medicine 50(3):S125–S126.Crossref, Google Scholar
• de Moura HC (2007) Financial crisis at Atlanta’s Grady Hospital. Accessed September 20, 2014, http://www.gpb.org/healthdesk/financial-crisis-at-atlantas-grady-hospital.Google Scholar
• Derlet RW (2002) Overcrowding in emergency departments: Increased demand and decreased capacity. Ann. Emergency Medicine 39(4):430–432.Crossref, Google Scholar
• Derlet RW, Richards JR (2000) Overcrowding in the nation’s emergency departments: Complex causes and disturbing effects. Ann. Emergency Medicine 35(1):63–68.Crossref, Google Scholar
• Derlet RW, Richards JR (2002) Emergency department overcrowding in Florida, New York, and Texas. Southern Medical J. 95(8): 846–849.Crossref, Google Scholar
• Derlet RW, Richards JR, Kravitz R (2001) Frequent overcrowding in US emergency departments. Acad. Emergency Medicine 8(2): 151–155.Crossref, Google Scholar
• Eitel DR, Rudkin SE, Malvehy MA, Killeen JP, Pines JM (2010) Improving service quality by understanding emergency department flow: A white paper and position statement prepared for the American Academy of Emergency Medicine. J. Emergency Medicine 38(1):70–79.Crossref, Google Scholar
• Hagen MS, Jopling JK, Buchman TG, Lee EK (2013) Priority queuing models for hospital intensive care units and the impacts to severe case patients. Accessed October 1, 2014, http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900220.Google Scholar
• Hasan O, Meltzer DO, Shaykevich Bell CM, Kaboli PJ, Auerbach AD, Wetterneck TB, Arora VM, Zhang J, Schnipper JL (2010) Hospital readmission in general medicine patients: A prediction model. J. General Internal Medicine 25(3):211–219.Crossref, Google Scholar
• Joynt KE, Orav EJ, Jha AK (2011) Thirty-day readmission rates for Medicare beneficiaries by race and site of care. J. Amer. Medical Assoc. 305(7):675–681.Crossref, Google Scholar
• Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, Kripalani S (2011) Risk prediction models for hospital readmission. J. Amer. Medical Assoc. 306(15):1688–1698.Crossref, Google Scholar
• Kirby SE, Dennis SM, Jayasinghe UW, Harris MF (2010) Patient related factors in frequent readmissions: The influence of condition, access to services and patient choice. Accessed December 1, 2014, http://www.biomedcentral.com/content/pdf/1472-6963-10-216.pdf.Google Scholar
• Koczor CA, Lee EK, Torres RA, Boyd A, Vega JD, Uppal K, Yuan F, Fields EJ, Samarel AM, Lewis W (2013) Detection of differentially methylated gene promoters in failing and nonfailing human left ventricle myocardium using computational analysis. Physiol. Genomics 45(14):597–605.Crossref, Google Scholar
• Kolker A (2008) Process modeling of emergency department patient flow: Effect of patient length of stay on ED diversion. J. Medical Systems 32(5):389–401.Crossref, Google Scholar
• Lee EK (2007) Large-scale optimization-based classification models in medicine and biology. Ann. Biomedical Engrg. 35(6): 1095–1109.Crossref, Google Scholar
• Lee EK, Maheshwary S (2013) Facets of conflict hypergraphs. SIAM J. Optim. Forthcoming.Google Scholar
• Lee EK, Wu TL (2007) Classification and disease prediction via mathematical programming. Seref O, Kundakcioglu OE, Pardalos PM, eds. Data Mining, Systems Analysis and Optimization in Biomedicine (American Institute of Physics, Melville, NY), 1–42.Crossref, Google Scholar
• Lee EK, Gallagher RJ, Patterson DA (2003) A linear programming approach to discriminant analysis with a reserved-judgment region. INFORMS J. Comput. 15(1):23–41.Link, Google Scholar
• Lee EK, Pietz F, Benecke B (2013b) Service networks for public health and medical preparedness: Medical countermeasures dispensing and large-scale disaster relief efforts. Herrmann, J, ed. Handbook of Operations Research for Homeland Security (Springer, Berlin), 167–196.Crossref, Google Scholar
• Lee EK, Surana V, Shapoval A (2014) Facets for generalized conflict hypergraphs. SIAM J. Optim. Submitted.Google Scholar
• Lee EK, Chen C-H, Pietz F, Benecke B (2009) Modeling and optimizing the public-health infrastructure for emergency response. Interfaces 39(5):476–490.Link, Google Scholar
• Lee EK, Maheshwary S, Mason J, Glisson W (2006a) Large-scale dispensing for emergency response to bioterrorism and infectious-disease outbreak. Interfaces 36(6):591–607.Link, Google Scholar
• Lee EK, Maheshwary S, Mason J, Glisson W (2006b) Decision support system for mass dispensing of medications for infectious disease outbreaks and bioterrorist attacks. Ann. Oper. Res. 148(1):25–53.Crossref, Google Scholar
• Lee EK, Yang AY, Pietz F, Benecke B (2011) Public health and medical preparedness. Yih Y, ed. Handbook of Healthcare Delivery Systems, Chap. 41 (CRC Press, Boca Raton, FL), 41-1–41-40.Google Scholar
• Lee EK, Pietz F, Benecke B, Mason J, Burel G (2013a) Advancing public health and medical preparedness with operations research. Interfaces 43(1):79–98.Link, Google Scholar
• Lee EK, Yuan F, Hirsh DA, Mallory MD, Simon HK (2012a) A clinical decision tool for predicting patient care characteristics: Patients returning within 72 hours in the emergency department. Accessed October 1, 2014, http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540516.Google Scholar
• Lee EK, Chen C-H, Brown N, Handy J, Desiderio A, Lopez R, Davis B (2012b) Designing guest flow and operations logistics for the dolphin tales. Interfaces 42(5):492–506.Link, Google Scholar
• Lewin Group (2002) Emergency department overload: A growing crisis. Accessed October 1, 2014, http://www.aha.org/content/00-10/EdoCrisisSlides.pdf.Google Scholar
• McCarthy ML, Zeger SL, Ding R, Levin SR, Desmond JS, Lee J, Aronsky D (2009) Crowding delays treatment and lengthens emergency department length of stay, even among high-acuity patients. Ann. Emergency Medicine 54(4):492–503, e4.Crossref, Google Scholar
• Medeiros DJ, Swenson E, DeFlitch C (2008) Improving patient flow in a hospital emergency department. Mason S, Hill R, Rose O, Moünch L, eds. Proc. 2008 Simulation Conf. (Institute of Electrical and Electronics Engineers, Washington, DC), 1526–1531.Crossref, Google Scholar
• Minott J (2008) Reducing hospital readmissions. Accessed Octo-ber 1, 2014, http://www.academyhealth.org/files/publications/ReducingHospitalReadmissions.pdf.Google Scholar
• Moskop JC, Sklar DP, Geiderman JM, Schears RM, Bookman KJ (2009) Emergency department crowding, part 2—Barriers to reform and strategies to overcome them. Ann. Emergency Medicine 53(5):612–617.Crossref, Google Scholar
• Nakaya HI, Wrammert J, Lee EK, Racioppi L, Marie-Kunze S, Haining WN, Means ARet al. (2011) Systems biology of seasonal influenza vaccination in humans. Nature Immunology 12(8):786–795.Crossref, Google Scholar
• Nugus P, Holdgate A, Fry M, Forero R, McCarthy S, Braithwarte J (2011) Work pressure and patient flow management in the emergency department: Findings from an ethnographic study. Academic Emerging Medicine 18(10):1045–1052.Crossref, Google Scholar
• Osei-Anto A, Joshi M, Audet AM, Berman A, Jencks S (2010) Health care leader action guide to reduce avoidable readmissions. Accessed October 1, 2014, http://www.hret.org/care/projects/resources/readmissions_cp.pdf.Google Scholar
• Owens DK (1998) Interpretation of cost-effectiveness analyses. J. General Internal Medicine 13(10):716–717.Crossref, Google Scholar
• Popovich MA, Boyd C, Dachenhaus T, Kusler D (2012) Improving stable patient flow through the emergency department by utilizing evidence-based practice: One hospital’s journey. J. Emergency Nursing 38(5):474–478.Crossref, Google Scholar
• PRNewswire (2014) The Marcus foundation gives $20 million to Grady Health System. Accessed October 1, 2014, http://www.prnewswire.com/news-releases/the-marcus-foundation-gives-20-million-to-grady-health-system-61849312.html.Google Scholar
• RealOpt (2012) RealOpt user manual. Accessed December 1, 2012, http://www2.isye.gatech.edu/medicalor/realopt/.Google Scholar
• Richardson LD, Hwang U (2001) America’s health care safety net: Intact or unraveling? Academic Emergency Medicine 8(11): 1056–1063.Crossref, Google Scholar
• Scuteri J, Fodero L, Pearse J (2011) Determining a threshold hospital size for the application of activity-based funding. BMC Health Services Res. 10(Supp.1):A10.Crossref, Google Scholar
• Southern DA, Quan HG, William A (2004) Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data. Medical Care 42(4):355–360.Crossref, Google Scholar
• Sturm JJ, Hirsh DA, Lee EK, Massey R, Weselman B, Simon HK (2010) Practice characteristics that influence nonurgent pediatric emergency department utilization. Academic Pediatrics 10(1):70–74.Crossref, Google Scholar
• Taylor TB (2001) Threats to the health care safety net. Academic Emergency Medicine 8(11):1080–1087.Crossref, Google Scholar
• United States Department of Health and Human Services (2014) A policy framework for targeting financially vulnerable safety net hospitals. Accessed August 18, 2014, http://aspe.hhs.gov/health/reports/02/dsh/ch2.htm.Google Scholar
• VanSuch M, Naessens JM, Stroebel RJ, Huddleston JM, Williams AR (2006) Effect of discharge instructions on readmission of hospitalised patients with heart failure: Do all of the joint commission on accreditation of healthcare organizations heart failure core measures reflect better care? Quality Safety Health Care 15(5):414–417.Crossref, Google Scholar
• Westert GP, Lagoe RJ, Keskimäki I, Leyland A, Murphy M (2002) An international study of hospital readmissions and related utilization in Europe and the USA. Health Policy 61(3):269–278.Crossref, Google Scholar
• Wiler JL, Gentle C, Halfpenny JM, Heins A, Mehrotra A, Mikhail MG, Fite D (2010) Optimizing emergency department front-end operation. Ann. Emergency Medicine 5(2):142–160.Crossref, Google Scholar
• Williams M (2011) Grady to open ER alternative offering lower costs. Accessed October 1, 2014, http://www.ajc.com/news/news/local/grady-to-open-er-alternative-offering-lower-costs/nQKxb/.Google Scholar