Eugene Litvak

Summary

Affiliation: Boston University
Country: USA

Publications

  1. ncbi Managing unnecessary variability in patient demand to reduce nursing stress and improve patient safety
    Eugene Litvak
    Boston University, Boston, USA
    Jt Comm J Qual Patient Saf 31:330-8. 2005
  2. ncbi Time series analysis of variables associated with daily mean emergency department length of stay
    Niels K Rathlev
    Department of Emergency Medicine, Boston Medical Center, One Boston Medical Center Place, Boston, MA 02118, USA
    Ann Emerg Med 49:265-71. 2007
  3. ncbi Sleep Faster! (Somebody else needs your blanket...)
    Matthew H R Anstey
    Beth Israel Deaconess Medical Center, W CC 470, Deaconess Rd, Boston, MA 02215, USA
    Aust Health Rev 36:244-7. 2012
  4. ncbi Queuing theory accurately models the need for critical care resources
    Michael L McManus
    Department of Anesthesia, Pain and Perioperative Medicine, Children s Hospital, Boston, Massachusetts, USA
    Anesthesiology 100:1271-6. 2004
  5. ncbi Variability in surgical caseload and access to intensive care services
    Michael L McManus
    Department of Anesthesia and the Multidisciplinary Intensive Care Unit, Children s Hospital Boston and Harvard Medical School, Massachusetts 02115, USA
    Anesthesiology 98:1491-6. 2003

Detail Information

Publications5

  1. ncbi Managing unnecessary variability in patient demand to reduce nursing stress and improve patient safety
    Eugene Litvak
    Boston University, Boston, USA
    Jt Comm J Qual Patient Saf 31:330-8. 2005
    ..Al forms of artificial variation in the demand and supply of health care services should be identified, and pilot programs to test operational changes should be conducted...
  2. ncbi Time series analysis of variables associated with daily mean emergency department length of stay
    Niels K Rathlev
    Department of Emergency Medicine, Boston Medical Center, One Boston Medical Center Place, Boston, MA 02118, USA
    Ann Emerg Med 49:265-71. 2007
    ..We measure the effect of various input, throughput, and output factors on daily emergency department (ED) mean length of stay per patient (daily mean length of stay)...
  3. ncbi Sleep Faster! (Somebody else needs your blanket...)
    Matthew H R Anstey
    Beth Israel Deaconess Medical Center, W CC 470, Deaconess Rd, Boston, MA 02215, USA
    Aust Health Rev 36:244-7. 2012
    ..An alternative solution proposed is the separation of elective and emergency surgical streams to reduce the variability in demand for inpatient services...
  4. ncbi Queuing theory accurately models the need for critical care resources
    Michael L McManus
    Department of Anesthesia, Pain and Perioperative Medicine, Children s Hospital, Boston, Massachusetts, USA
    Anesthesiology 100:1271-6. 2004
    ..Although mathematical tools have been suggested for determining the proper number of intensive care beds necessary to serve a given demand, the performance of such models has not been prospectively evaluated over significant periods...
  5. ncbi Variability in surgical caseload and access to intensive care services
    Michael L McManus
    Department of Anesthesia and the Multidisciplinary Intensive Care Unit, Children s Hospital Boston and Harvard Medical School, Massachusetts 02115, USA
    Anesthesiology 98:1491-6. 2003
    ..Intensive care units may frequently present bottlenecks to patient flow, and saturation of these services limits a hospital's responsiveness to new emergencies...