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Doctor Scheduling at Baystate Hospital

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For weekdays: Eleven Clinician shifts, ten from 8am to 4pm and one from ... j indexes shifts (21 weekday shifts) (17 weekend shifts) k days (30 total for June) ... – PowerPoint PPT presentation

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Title: Doctor Scheduling at Baystate Hospital


1
Doctor Scheduling at Baystate Hospital
  • Rohan Khatau
  • Claudio Stefan

2
Background
  • Baystate Hospital in Springfield, MA compiles a
    quarterly schedule assigning doctors to specific
    shifts
  • They have one person in charge of the schedule
    who follows a general guideline and fills it in
    manually
  • Will acquire computer software at the end of this
    month
  • Our Task scheduling for the month of June

3
Problem Details
  • Assignment Problem with three types of doctors
  • Clinicians
  • Hospital Educators
  • Dedicated Nocturnists
  • Each set of doctors has its own specific shifts
    and constraints
  • FTE (some work part time and some are full time)
  • Clinicians can work day or night shifts
  • Educators only work during the day
  • Dedicated Nocturnists only work the overnight
    shift

4
Shifts
  • For weekdays
  • Eleven Clinician shifts, ten from 8am to 4pm and
    one from noon to 4pm
  • Eight Hospital Educator shifts, all from 8am to
    4pm
  • Two overnight shifts
  • For weekends
  • Ten clinician shifts (all from 8am to 4pm)
  • Five Educator shifts
  • Two overnight shifts

5
Some Important Rules and Constraints
  • Maximum Number of shifts in a row is seven
  • Maximum Number of overnights in a row is four
  • Weekend Work is two weekends a month (only for
    Clinicians)
  • If a physician worked overnight, the only shift
    he or she can work the following day is another
    overnight shift
  • It is preferred that a physician works the same
    shift as much as possible during the seven day
    span
  • All doctors are limited to one shift per day

6
Our Task
  • Find a solution to this assignment problem using
    Integer programming
  • See what we could do to improve the schedule
    using Baystates specific constraints
  • See if academic scheduling methods are practical
    in a hospital environment

7
Methodology
  • Integer program to solve the assignment problem
    (solved using ampl)
  • Define Binary Variable
  • Xi,j,k 1 if doctor i works shift j during
    day k 0 otherwise
  • i indexes doctors (44 doctors in total)
  • j indexes shifts (21 weekday shifts) (17
    weekend shifts)
  • k days (30 total for June)

8
Methodology
  • Constraints will make sure that only one doctor
    will be assigned to each shift on each day
  • For the objective function, we added a bonus
    variable
  • bonusi,j,k 7(Xi,j,kXi,j,k1 Xi,j,k2
    Xi,j,k3 Xi,j,k4 Xi,j,k5 Xi,j,k6)
  • this will keep track of days in which the
    physicians worked the same shift and assign a
    large bonus for those respective days
  • Objective Function
  • max ? ? ? bonusi,j,k
  • days shifts doctors

9
Constraint Overview
  • Seven Days in a Row
  • ? (Xi,j,k Xi,j,k1 Xi,j,k2
    Xi,j,k6 i,j,k7) lt7
  • shifts
  • for all i and k
  • Four Nights in a Row for Nocturnists
  • ? (Xi,j,k Xi,j,k1 Xi,j,k2
    Xi,j,k3 Xi,j,k4) lt 4
  • Night shifts
  • for all i in Nocturnists, k in Days
  • Cannot Work a Day Shift Following an Overnight
    Shift
  • ? Xi,j,k ? Xi,j,k1 lt 1
  • Night shifts Day shifts
  • for all Clinicians on all days

10
June 2009 Schedule (week 1)
11
Sample Code (from .mod file)
var bonus1i in allDoctors, j in allShifts, k in
allDays gt 0 lt50 integer var Xi in
allDoctors, j in allShifts,k in allDays gt0 lt1
integer maximize objectiveDays sum i in
allDoctors,j in allShifts, k in bonusDays1
bonus1i,j,k subject to shiftAndDayConstraint
j in allShifts, k in weekDays sumi in
allDoctors Xi,j,k 1 subject to
shiftAndDayConstraint2 j in weekEndShifts, k in
weekEnds sumi in allDoctors Xi,j,k
1 subject to shiftAndDayConstraint3 j in
weekDayShifts, k in weekEnds sumi in
allDoctors Xi,j,k 0 subject to
shiftAndDayConstraint4 j in nightShifts, k in
allDays sumi in allDoctors Xi,j,k
1 subject to bonusConstraint1 i in allDoctors,
j in allShifts, k in bonusDays1 (bonus1i,j,k
7(Xi,j,kXi,j,k1Xi,j,k2Xi,j,k3 X
i,j,k4Xi,j,k5Xi,j,k6)) subject to
FTEConstraint i in allDoctors sumj in
allShifts,k in allDays Xi,j,klt FTEi
subject to nocturnistConstraint1 i in
nocturnists, k in allDays sumj in nightShifts
Xi,j,k lt 1 subject to nocturnistConstraint2
i in nocturnists sum j in dayShifts,k in
allDays Xi,j,k 0 subject to
CHMPnightConstraint i in CHMPs sum j in
nightShifts, k in allDays Xi,j,k lt
1 subject to CHMPshiftConstraint i in CHMPs
sum j in educatorShifts, k in allDays Xi,j,k
0 subject to HospEdNightConstraint i in
educators sum j in nightShifts, k in allDays
Xi,j,k0
12
Sample Code
subject to HospEdshiftConstraint i in
educators sum j in chmpShifts, k in allDays
Xi,j,k0 subject to doctorAndDayConstraint i
in allDoctors, k in weekDays sum j in
allShifts Xi,j,k lt1 subject to
doctorAndDayConstraint2 i in allDoctors, k in
weekEnds sum j in weekEndShifts Xi,j,k
lt1 each doctor has to work at most one shift
every day subject to consecutvieDaysConstraint
i in allDoctors, k in consecutiveDays sum j
in allShifts (Xi,j,kXi,j,k1 Xi,j,k2Xi
,j,k3Xi,j,k4Xi,j,k5Xi,j,k6
Xi,j,k7)lt7 every doctor is only allowed to
work at most 7 seven days in a row you need the
last term because there should be a break between
the shifts subject to weekEndConstraint i in
CHMPsandEducators sum j in weekEndShifts, k in
weekEnds Xi,j,k lt4 doctors are allowed at
most one weekend of work subject to
RougemontDaysConstraint k in RougemontDays sum
j in nightShifts X"Rougemont",j,k
1 subject to EnriquezDaysConstraint k in
EnriquezDays sum j in nightShifts
X"Enriquez",j,k 1 subject to
FloresDaysConstraint k in FloresDays sum j in
nightShifts X"Flores",j,k 1 subject to
PalacioDaysConstraint k in PalacioDays sum j
in nightShifts X"Palacio",j,k
1 constraints for the nocturnists - what
specific days they are working on subject to
dayAfterOvernight i in CHMPs, k in
overnightDays (sum j in nightShifts Xi,j,k
sumj in dayShifts Xi,j,k1) lt 1 no
doctor will have a shifts following his overnight
visit
13
The IP Solution
  • Benefits
  • Much more efficient than pencil and paper
    method
  • Ensures that all constraints, if defined
    properly, are satisfied
  • Enables one to identify inconsistent and
    redundant constraints
  • One can write a simpler program and use it as a
    starting point for manual scheduling
  • Shortcomings
  • Less Flexible than the manual method
  • Some Constraints are difficult to define and
    implement
  • Output is difficult to interpret
  • Need specialist to adjust and run the program

14
Thanks to
  • the Baystate Hospital staff, especially Carmen
  • Curry

15
Questions?
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