Literature DB >> 2558203

Mathematical relationship between waiting times and appointment interval for doctor and patients.

I Hill-Smith.   

Abstract

Appointment systems try to achieve a balance between the time the doctor waits for patients to arrive and the time patients spend waiting to be seen. Mathematical analysis reveals that the time a patient can expect to wait increases exponentially as the appointment interval is reduced. An appointment interval that is less than the median consultation length can result in long waits for patients with no saving of time for the doctor. More frequent, shorter surgeries can save time for patients with no increase in the doctor's waiting time. Methods of improving the efficiency of use of surgery time are discussed.

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Mesh:

Year:  1989        PMID: 2558203      PMCID: PMC1712214     

Source DB:  PubMed          Journal:  J R Coll Gen Pract        ISSN: 0035-8797


  5 in total

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Authors:  P R Kaim-Caudle; G N Marsh
Journal:  Br Med J       Date:  1975-02-01

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Authors:  A T Harrison
Journal:  Br Med J (Clin Res Ed)       Date:  1987-06-06

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Authors:  A D Wilson
Journal:  Br Med J (Clin Res Ed)       Date:  1985-05-04

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Authors:  R Knight
Journal:  J R Coll Gen Pract       Date:  1987-01

5.  Length of consultation: how well do patient's choose?

Authors:  L Lowenthal; E Bingham
Journal:  J R Coll Gen Pract       Date:  1987-11
  5 in total
  8 in total

1.  Improving on-time performance in health care organizations: a case study.

Authors:  S D Lapierre; C Batson; S McCaskey
Journal:  Health Care Manag Sci       Date:  1999-01

Review 2.  Consultation length in general practice: a review.

Authors:  A Wilson
Journal:  Br J Gen Pract       Date:  1991-03       Impact factor: 5.386

3.  Assessing the Queuing Process Using Data Envelopment Analysis: an Application in Health Centres.

Authors:  Komal A Safdar; Ali Emrouznejad; Prasanta K Dey
Journal:  J Med Syst       Date:  2015-11-11       Impact factor: 4.460

4.  Longer booking intervals in general practice: effects on doctors' stress and arousal.

Authors:  A Wilson; P McDonald; L Hayes; J Cooney
Journal:  Br J Gen Pract       Date:  1991-05       Impact factor: 5.386

5.  Patient demographics as a predictive tool of consultation duration.

Authors:  Volha Pankevich
Journal:  London J Prim Care (Abingdon)       Date:  2014

6.  Factors influencing waiting times and consultation times in general practice.

Authors:  D J Heaney; J G Howie; A M Porter
Journal:  Br J Gen Pract       Date:  1991-08       Impact factor: 5.386

7.  Hourly-block and standard patient scheduling systems at two private hospitals in Alexandria.

Authors:  Ashraf Ahmad Zaher Zaghloul; Nagwa Younes Abou El Enein
Journal:  J Multidiscip Healthc       Date:  2010-12-07

8.  Problems that patients feel are appropriate to discuss with their GPs.

Authors:  S J Spence
Journal:  J R Soc Med       Date:  1992-11       Impact factor: 18.000

  8 in total

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