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Presented by, Matthew Rusk, D.O. Advisor: Khalid Qazi , M.D.

Employing Lean Flow to Streamline the Admission Process, Improve Patient Satisfaction, Enhance Quality and Facilitate Cost Effective Care. Presented by, Matthew Rusk, D.O. Advisor: Khalid Qazi , M.D. Objectives. Introduce a concept that augments the admission process by improving:

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Presented by, Matthew Rusk, D.O. Advisor: Khalid Qazi , M.D.

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  1. Employing Lean Flow to Streamline the Admission Process, Improve Patient Satisfaction, Enhance Quality and Facilitate Cost Effective Care Presented by, Matthew Rusk, D.O. Advisor: Khalid Qazi, M.D.

  2. Objectives • Introduce a concept that augments the admission process by improving: • Admission wait times • Patient satisfaction • Quality • Cost Effective Care • Explain how change was implemented • Discuss results • Compare results to current literature

  3. Introduction—Lean Flow • Business concept that is well known and implemented daily by successful businesses • Often ignored in the healthcare industry • Gaining recognition in healthcare • Can make healthcare efficient and improve quality

  4. Introduction • ED overcrowding is associated with worse quality of care and service delivery quality (1); • Recent studies have shown clearly that wait time directly affects patient satisfaction (1-9); • Time to evaluation can also influence whether or not a patient is seen at all (1, 2, 10).

  5. Hypothesis • Utilizing lean flow will improve the admission process at Sisters of Charity Hospital by: • Decreasing the total admission process time • Improving patient satisfaction • Enhancing quality • Improving Cost Effective Care

  6. Methodology • Implementation of Lean Flow • X32 Healthcare ‘Rapid Improvement 3-day Program’ • CHS Staff; • Four Residents; • Lean Flow Education; • ‘Front end’ Improvements; • Little focus on admission process

  7. Methodology Applied concepts to improve admission process Key Changes: • Admission Orders within 30 min; • ED Holding Orders in certain situations; • Earlier Bed Search; • Easier access to order sets, charts and labels

  8. Methodology • Outcome measures • Time • Patient Satisfaction • Quality and Safety • Cost Effective Care

  9. Methodology • Pre-intervention • March 1 through October 31, 2008-2011 • Intervention • November 2011 – February 2012 • Post-intervention • March 1 through October 31, 2012

  10. Methodology-Time Intervals • Arrival to Departure (total admission time) • Arrival to ED Provider • ED Provider to Time Admitting Physician Informed of admission (TAPI) • TAPI to Admit Order • Admit Order to Departure Arrival ED Provider TAPI Admit Order Departure

  11. Methodology-Patient Satisfaction • Questions: • Got help as soon as wanted • Quiet around room at night • Treated with courtesy and respect by doctors • Treated with courtesy and respect by nurses • Rate Hospital • Would recommend hospital to family • Answers 9 or 10 out of 10 defined as perfect score • 8 or below defined as non-perfect (negative response)

  12. Methodology-Quality Indicators • Fall Rate • Core Measure Compliance • AMI, HF, PN, SCIP • RRT calls • Inpatient Mortality • Left Without Being Seen (LWBS) • ED Mortality Inpatient Specific ED Specific

  13. Methodology—Cost Effective Care • Average LOS • ED Volume • Total Admissions

  14. Results—Time Variables • Summarized using means and standard deviations. • An independent two-sample t-test using assumption of equal variances was used to test for differences in means. • A multiple regression model was used to test for differences adjusted for baseline variables (age, gender, race, Arr Method, and Bed Type).

  15. Time Interval Comparison Time (minutes)

  16. Time (minutes) (Decrease of 78.8 minutes [417.8 – 339 = 78.8]) Statistically Significant, P-value <.0001

  17. Time (minutes) (Decrease of 35 minutes [168.5 – 133.5 = 35]) Statistically Significant, P-value <.0001

  18. Time (minutes) (Decrease of 36.2 minutes [61.9 – 25.7 = 36.2]) Statistically Significant, P-value 0.0015

  19. Summary of Time Variables • Arrival to Departure (Total Admission Time) • Decrease of 78.8 minutes • 19% reduction in total admission time • Most of our overall improvement during TAPI to Dep • TAPI to Departure • Decrease of 71.2 minutes • 31% reduction of this • TAPI to Admit Order • Decrease of 36.2 minutes • 58.5% reduction of this interval • Admit Order to Departure • Decrease of 35 minutes • 21% reduction of this interval

  20. Results—Patient Satisfaction • Summarized using frequencies and percentages. • A Pearson chi-square test was used to compare the proportion of satisfaction between pre and post. • Odds ratio and corresponding 95% confidence interval was calculated.

  21. Hospital Rating Chi-square test: Odds Ratio:

  22. Would Recommend Hospital To Family Chi-square test: Odds Ratio:

  23. Treated With Courtesy and Respect By Doctors Chi-square test: Odds Ratio:

  24. Treated With Courtesy and Respect By Nurses Chi-square test: Odds Ratio:

  25. Patient Satisfaction Results • All questions showed significant improvement post-intervention. • Hospital Rating Scores improved to 70.2% (from 56.74%) • Recommend to Family Scores improved to 74.94% (from 63.85%)

  26. Results—Quality • Summarized using means and standard deviations • An independent two-sample t-test using assumption of equal variances was used to test for differences in means.

  27. Improved Inpatient Fall Rate Falls significantly decreased (p-value < 0.0001)

  28. Improved ED Left Without Being Seen (LWBS) 38% reduction in LWBS p-value is < 0.0001

  29. Improved Core Measure Compliance Percentage of Perfect Care

  30. Decreased Number of Rapid Response Team Calls p-value = < 0.001 Statistically Significant

  31. Mortality p-value = 0.6264 p-value = 0.9053 Inpatient ED No significant difference No significant difference

  32. Quality Summary • Improved Inpatient Fall Rate • Improved Core Measure Compliance • AMI, HF, PN, SCIP • Decreased RRT calls • No change in Inpatient Mortality • Improved Left Without Being Seen (LWBS) • No change in ED Mortality Inpatient Specific ED Specific

  33. Results—Cost Effective Care • Summarized using means and standard deviations • An independent two-sample t-test using assumption of equal variances was used to test for differences in means.

  34. Improved Length of Stay Average LOS decreased from 4.68 days to 4.36 days (p-value < 0.0018)

  35. Increased ED Volume and Admissions • ED Volume increased 13.5%: • Pre Volume avg = 23,624 • Post Volume = 26,799 • (March-Oct) • Admissions Increased 3.5%: • Pre Admission Avg = 4,002 • Post Admission = 4,141 • (March-Oct)

  36. Cost Effective Care Summary • Improved Average Length of Stay • Increased ED Volume • Increased Admissions

  37. Discussion • Yale-New Haven Hospital utilized lean and reduced the time from decision to admit [TAPI] to transfer to floor [departure] by 33% (11) • Anecdotal recount • We had a 31% reduction of this time frame. • Lack of studies focus on admitted patients. • Lack of focus on admission times, affect of overall hospital rating after admission • Limited investigation on inpatient quality.

  38. Conclusion • Our study fills void • focus on how lean affects the admission process and subsequent hospital stay. • Implementing Lean Flow at Sisters Hospital • Significantly Improved Admission Times • Significantly Improved Patient Satisfaction • Significantly Enhanced Quality • Facilitated Cost Effective Care

  39. Conclusion • Further improvements are possible • Focus on specific time intervals • Re-evaluate processes • Lean Flow works and is an essential tool implement in healthcare.

  40. Acknowledgements • MarylinBoehler, RN, Director of ED and Critical Care • Julie Morgante, Quality Analyst, Quality & Patient Safety Department • Terry Mashtare, PhD, UB Statistics Department • Jingjing Yin, UB Statistics Department • Entire Sisters Medical Records Department • AbidHussain, MBBS, IM Resident • SameerWaheed, MBBS, IM Resident • Mohammad Tantray, MBBS, IM Resident • Nancy RoderRN, BSN, Application Analyst, CHS Information Technology • X32 Healthcare—Lean Consulting Firm • Chuck Noon, PhD • Brian Livingston, MD, MBA • Jody Crane, MD, MBA • Kim Adams, RN

  41. References • 1. Eitel DR, et al. Improving Service Quality by Understanding Emergency Department Flow: A White Paper and Position Statement Prepared for the American Academy of Emergency Medicine. The Journal of Emergency Medicine, Vol. 38, No.1, pp.70-79. 2010. • 2. Schull MJ, Vermeulen M, Slaughter G, et al. Emergency department crowding and thrombolysis delays in acute myocardial infarction. Ann Emerg Med 2004;11:577– 85. • 3. Miro O, Antonio MT, Jimenez S, et al. Decreased healthcare quality associated with emergency department overcrowding. Eur J Emerg Care 1999;6:105–7. • 4. Pines JM, Hollander JE, Localio AR, Metlay JP. The association between ED crowding and hospital performance on antibiotic timing for pneumonia and percutaneous intervention for myocardial infarction. AcadEmerg Med 2006;13:873– 8. • 5. Boudreaux ED, Ary RD, Mandry CV, McCabe B. Determinants of patient satisfaction in a large, municipal ED: the role of demographic variables, visit characteristics, and patient perceptions. Am J Emerg Med 2000;18:394 –400. • 6. Kyriacou DN, Ricketts V, Dyne PL, McCollough MD, Talan DA. A 5-year time study analysis of emergency department patient care efficiency. Ann Emerg Med 1999;34:326 –35. • 7. Sun BC, Adams J, Orav EJ, Rucker DW, Brennan TA, Burstin HR. Determinants of patient satisfaction and willingness to return with emergency care. Ann Emerg Med 2000;35:426 –34. • 8. Bursch B, Beezy J, Shaw R. Emergency department satisfaction: what matters most? Ann Emerg Med 1993;22:586 –91. • 9. Watson WT, Marshall ES, Fosbinder D. Elderly patients’ perceptions of care in the emergency department. J EmergNurs 1999; 25:88 –92. • 10. Hobbs D, Kunzman SC, Tandberg D, Sklar D. Hospital factors associated with emergency center patients leaving without being seen. Am J Emerg Med 2000;18:767–72. • 11. Kulkarni RG. A reader and author respond to “Going Lean in the emergency department: a strategy for addressing emergency department overcrowding.” Medscape J Med. 2008; 10:25.

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