Predicting emergency department inpatient admissions to improve same-day patient flow

Academic Emergency Medicine

Volumn 19, Issue 9, 2012, Pages E1045-E1054

  Peck, Jordan S ^a,c   Benneyan, James C ^a,d   Nightingale, Deborah J ^c   Gaehde, Stephan A ^b  

^a New England Veterans Engineering Resource Center   (United States)

^b Boston VA Healthcare System   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d Northeastern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; EMERGENCY HEALTH SERVICE; EMERGENCY TREATMENT; EMERGENCY WARD; EXPERT NURSE; FEMALE; HOSPITAL ADMISSION; HOSPITAL BED CAPACITY; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY;

EID: 84866365723     PISSN: 10696563     EISSN: 15532712     Source Type: Journal    
DOI: 10.1111/j.1553-2712.2012.01435.x     Document Type: Article

References (30)

1. Asplin BR, Magid DJ, Rhodes KV, Solberg LI, Lurie N, Camargo CA Jr,. A conceptual model of emergency department crowding. Ann Emerg Med. 2003; 42: 173-80.
2. Falvo T, Grove L, Stachura R, et al., The opportunity loss of boarding admitted patients in the emergency department. Acad Emerg Med. 2007; 14: 332-7.
3. Hoot NR, Aronsky D,. Systematic review of emergency department crowding: causes, effects, and solutions. Ann Emerg Med. 2008; 52: 126-36.
4. Olshaker J, Rathlev N,. Emergency department overcrowding and ambulance diversion: the impact and potential solutions of extended boarding of admitted patients in the emergency department. J Emerg Med. 2006; 30: 351-6.
5. US General Accounting Office. Hospital Emergency Departments: Crowded Conditions Vary Among Hospitals and Communities. GAO-03-460. Available at: http://www.gao.gov/new.items/d03460.pdf. Accessed Jun 30, 2012.
6. US GAO. Hospital Emergency Departments: Crowding Continues to Occur, and Some Patients Wait Longer Than Recommended Time Frames. GAO-09-347. Available at: http://www.gao.gov/new.items/d09347.pdf. Accessed Jun 30, 2012.
7. Williams M,. Hospitals and clinical facilities, processes and design for patient flow. In:, Hall RW,. Patient Flow: Reducing Delay in Healthcare Delivery. Los Angeles, CA: Springer, 2006, pp 45-77.
8. Viccellio A, Santora C, Singer AJ, Thode HC Jr, Henry MC,. The association between transfer of emergency department boarders to inpatient hallways and mortality: a 4-year experience. Ann Emerg Med. 2009; 54: 487-91.
9. Rubino L, Stahl L, Chan M,. Innovative approach to the aims for improvement: emergency department patient throughput in an impacted urban setting. J Ambul Care Manage. 2007; 30: 327-37.
10. Vicellio P, Schneider S, Asplin B, et al., Emergency Department Crowding: High-impact Solutions. American College of Emergency Physicians. Available at: http://www.acep.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID= 50026&libID=50056. Accessed Jun 30, 2012.
11. Simchi-Levi D, Kaminsky P, Simchi-Levi E,. Designing and Managing the Supply Chain. 2nd ed. New York, NY: McGraw-Hill/Irwin; 2002.
12. Li J, Guo L, Handly N,. Hospital admission prediction using pre-hospital variables. BIBMIEEE Proc., Los Alamitos, CA 2009, pp 283-6.
13. Sun Y, Heng BH, Tay SY, Seow E,. Predicting hospital admissions at emergency department triage using routine administrative data. Acad Emerg Med. 2011; 18: 844-50.
14. Arslanian-Engoren C,. Do emergency nurses' triage decisions predict differences in admission or discharge diagnoses for acute coronary syndromes? J Cardiovasc Nurs. 2004; 19: 280-6.
15. Walsh P, Rothenberg SJ, O'Doherty S, Hoey H, Healy R,. A validated clinical model to predict the need for admission and length of stay in children with acute bronchiolitis. Eur J Emerg Med. 2004; 11: 265-72.
16. Levine SD, Colwell CB, Pons PT, Gravitz C, Haukoos JS, McVaney KE,. How well do paramedics predict admission to the hospital? A prospective study. J Emerg Med. 2006; 31: 1-5.
17. Clesham K, Mason S, Gray J, Walters S, Cooke V,. Can emergency medical service staff predict the disposition of patients they are transporting? Emerg Med J. 2008; 25: 691-4.
18. Aronsky D, Kendall D, Merkley K, James BC, Haug PJ,. A comprehensive set of coded chief complaints for the emergency department. Acad Emerg Med. 2001; 8: 980-9.
19. Witten IH, Frank E,. Data Mining: Practical Machine Learning Tools and Techniques. Burlington, MA: Morgan Kaufmann, 2005.
20. Shmueli G, Patel NR, Bruce PC,. Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner. Hoboken, NJ: Wiley-Interscience, 2007.
21. Tandberg D, Qualls C,. Time series forecasts of emergency department patient volume, length of stay, and acuity. Ann Emerg Med. 1994; 23: 299-306.
22. Jones SS, Thomas A, Evans RS, Welch SJ, Haug PJ, Snow GL,. Forecasting daily patient volumes in the emergency department. Acad Emerg Med. 2008; 15: 159-70.
23. Jones SA, Joy MP, Pearson J,. Forecasting demand of emergency care. Health Care Manage Sci. 2002; 5: 297-305.
24. Abraham G, Byrnes GB, Bain CA,. Short-term forecasting of emergency inpatient flow. IEEE Trans Inf Technol Biomed. 2009; 13: 380-8.
25. Hoot NR, Leblanc LJ, Jones I, et al., Forecasting emergency department crowding: a prospective, real-time evaluation. J Am Med Inform Assoc. 2009; 16: 338-45.
26. Schweigler LM, Desmond JS, McCarthy ML, Bukowski KJ, Ionides EL, Younger JG,. Forecasting models of emergency department crowding. Acad Emerg Med. 2009; 16: 301-8.
27. Bernstein SL, Verghese V, Leung W, Lunney AT, Perez I,. Development and validation of a new index to measure emergency department crowding. Acad Emerg Med. 2003; 10: 938-42.
28. Weiss SJ, Derlet R, Arndahl J, et al., Estimating the degree of emergency department overcrowding in academic medical centers: results of the national ED overcrowding study (NEDOCS). Acad Emerg Med. 2004; 11: 38-50.
29. Epstein SK, Tian L,. Development of an emergency department work score to predict ambulance diversion. Acad Emerg Med. 2006; 13: 421-6.
30. Yen K, Gorelick MH,. Strategies to improve flow in the pediatric emergency department. Pediatr Emerg Care. 2007; 23: 745-9.