55
Analysis Breast Program and Client: MD Duck Department liffe D 2000

Breast Analysis - University of Michiganioe481/ioe481_past_reports/f0002.pdfOperations 481 team analyzed BCC exam room utilization, and patient wait times. The main goal of this project

  • Upload
    lecong

  • View
    217

  • Download
    2

Embed Size (px)

Citation preview

AnalysisBreast

Program and

Client: MD

Duck

Department

liffe

D 2000

TABLE OF CONTENTS

Executive Summary 1Introduction 3Background 3Approach and Methodology 5Findings 5Alternatives and/or Hypotheses Considered 11Conclusions 12Recommendations 13Action Plan 14Definitions 15

Appendices (A thru KK)

11

Executive Summary

The student team was asked to determine causes of low patient satisfaction forwait times in the Breast Care Center (BCC). According to a November 1999survey, 10% of the patients rated their wait time in the clinic as “Excellent”. TheCancer Center has a patient satisfaction goal of 50% “Excellent”.

The team observed 81 patients in the BCC over the course of 6 weeks, collectingboth qualitative and quantitative data regarding patient stays and staff utilization.Time studies were conducted to gather information on the current state of thesystem. Patient and staff interviews were conducted to gather a betterunderstanding of how the clinic works, including staff roles and patient flowthroughout the clinic.

Each patient was placed into one of three groups: new undiagnosed, return visit,or new cancer. Because the clinics all operate on Monday, the data wereanalyzed together. However, since different patient types require differentservices, the data were also analyzed separately during scheduling analysis.

Patients spent an average of 55 minutes in the exam room. 30 of those minuteswere spent waiting for a provider (non-value-added time), and 25 minutes werespent with the provider (value-added time), so that 44% of the time in the examroom patients were with a provider, and 55% of the time was spent waiting. Onaverage, a patient waited in an exam room for 17 minutes before being seen bythe provider.

New undiagnosed patients are scheduled for 30-minute appointments. Studiesshowed that average total provider time for these patients were 43 minutes.Return undiagnosed patients are scheduled for 15-minute appointments, andtotal provider time for them averaged 23 minutes per patient. New cancerpatients are scheduled for 30-minute appointments, and total provider time forthem averaged 36 minutes. Because patients are being scheduled for less timethan they are actually seen, they are experiencing long wait times in the waitingrooms and in the exam rooms.

Through qualitative data collection it was found that much of the patientdissatisfaction comes from a lack of personalization to their visit. Occasionally, apatient would be placed in an exam room and left, sometimes for over an hour,without being seen by anyone. It was observed in the Melanoma Clinic thatwhen patients experience long waits, a staff member would notify the patient thatthe provider was running late and give an estimate of when the provider would beready. This type of patient personalization should be implemented in the BCCsince long wait times will occur once in a while.

1

It was also observed that staff members to not use the lighting system 100% ofthe time. The lighting system is designed to allow staff members to determinethe current state of any exam room, so that if a room is available for a patient, anMA can take a patient into the room. Since the lighting system is not being usedeffectively, MA’s must check each room before taking a patient into it. If all staffmembers used the lighting system 100% if the time, MA’s would not need tocheck the room before taking in a patient.

Because new cancer patients spend around 8 hours in the clinic, it should befurther explored to split the multidisciplinary clinic (for new cancer patients) into 2clinics operating on different days, one for the new patients and one for theirfollow-up visits. This would possibly simplify scheduling since currently,afternoon scheduling is not done until the tumor board meets at 1:30.

2

Introduction

The Breast Care Clinic (BCC) at the University of Michigan Hospital requested astudy to be conducted to determine patient flow and patient satisfaction. OurIndustrial and Operations 481 team, a group of three student consultants, hasbeen asked to provide a patient flow analysis in the BCC. The Industrial andOperations 481 team analyzed BCC exam room utilization, and patient waittimes. The main goal of this project is to investigate the satisfaction rate ofpatients waiting for services in the Breast Care Clinic and give recommendationsto remedy this problem.

Background

In a November 1999 survey, results showed that 10% of patients seen in theBreast Care Clinic described their wait time at the clinic as “excellent.” This isthe lowest percentage across all clinics in the University of MichiganComprehensive Cancer Center. The institutional goal is 50%. The team ofstudent consultants observed qualitatively and quantitatively the two main areasof the clinic including the 1) waiting room/check-in area, and 2) examinationrooms. By making recommendations as to how to decrease wait time, thestudent team will increase the percentage of patients who describe their waittimes as “excellent”. This will be done by exploring new ways to educate andservice patients at the clinic.

The Breast Care Cancer Clinic currently operates on Mondays and Thursdays.The Monday Breast Care Clinic consists of three clinics, two undiagnosed breastproblem clinics and one multidisciplinary clinic for newly diagnosed breast cancerpatients. The Undiagnosed Breast Care Clinic — Surgery, is a morning clinic.This clinic spans from 7:45AM until 12:30PM and is staffed by one surgeon(Oncology) and residents. The patient population consists of people with one ormore of the following:

• Benign, undiagnosed breast problems.• Mammographic abnormalities.• Abnormal breast exams.• Breast imaging referrals.• Breast problems requiring a fine needle aspiration (FNA), surgical biopsy,

or suspicious for malignancy.

A second clinic is the Undiagnosed Breast Care Clinic — Gynecology, which isanother morning clinic and spans from 8:00AM until 12:00PM. A gynecologistand a resident staff this clinic. The patient population consists of people with oneor more of the following:

• Benign, undiagnosed breast problems.• Breast problems of women who are pregnant or postpartum.

3

• Mammographic abnormalities.• Abnormal breast exams.• Breast problems requiring FNA, surgical biopsy, or not suspicious for

malignancy.

The third clinic is the Multidisciplinary Breast Cancer Clinic. Surgeons and amultidisciplinary team consisting of Radiology Oncology, Medical Oncology,Plastic Surgery, and social work staff this clinic. The clinic can accept up to 8new patients per week. In the Multidisciplinary Breast Cancer Clinic, the 8 newpatients are brought in during the morning and spoken to by a nurse practitioner.The nurse practitioner performs a history and physical (intake process) on thepatients. Concurrently with the intake process, the pathologists and theradiologists read the patient’s pathology slides and mammograms, respectively.If additional mammogram views are needed or additional ultrasound views areneeded the nurse practitioner will take the patient to have them performed. Inthe afternoon, the doctors, nurses, and specialists decide which patient will seewhich medical physician. On average, 26 patients are seen in the morningthroughout the 3 clinics. When a new cancer patient requests an appointment,the wait may currently be one to two weeks.

In this clinic, once a new patient gets an appointment, they receive aninformation packet sent via Federal Express. This packet includes an itinerary ofwhat the patient should expect during their visit and directions for the patientupon arriving to the clinic. They are instructed to drop off their Mammograms atthe Radiology Department at 9:00AM and then proceed to the Breast Care Clinicand drop off their pathology slides at check-in. When they arrive, they will wait tobe seen by a nurse practitioner. The nurse practitioner will educate the newclients about both the procedure of the options they have as well as the cancerand will let them know if they need any other Mammogram views. If other viewsare needed, the patient will be sent back to the Radiology Department. Theresults of the mammogram, the pathology, and the meeting with the nursepractitioner will be discussed among the doctors at the Tumor Board from 1:00-2:30PM every Monday. The results of this meeting will determine their treatmentrecommendations and which disciplines will need to be involved. The returnpatients just need to arrive for their appointment times.

In response to the BCC’s goals for decreased wait times and increased patientsatisfaction, the student team analyzed the clinics’ performance in order torecommend actions to:

• Decrease patient visit time, especially through reducing non-value addedtime.

• Decrease barriers to staff efficiency throughout patients’ visit.• Increase effectiveness of educational material available for patients.• Increase examination room utilization.

4

Approach and Methodology

The approach the student team used to assess the BCC is classified into fourphases.

• Observe the BCC.• Collect data (both time studies of patient flow and interviewing).• Analyze data.• Make recommendations.

To address the patient flow issues at the clinic, the student team documented thecurrent system, took extensive time studies on the patient flow, and interviewedpatients and personnel regarding their interactions. The student team thenanalyzed the results from each individual part (Check-In/Waiting Area, ExamRoom) to detect barriers to efficiency problems.

The student team also examined the educational material available to thepatients before they visit the clinic. This allowed the team to have a morethorough understanding of the mindset of the patients when they arrive at theclinic.

Based on survey results, the Melanoma Clinic currently has the highest customersatisfaction regarding wait to see a doctor. The team toured the clinic and tookqualitative and quantitative observations of how their patient flow differs from thatin the Breast Care Clinic. We used this information to compare (benchmark) theclinics.

Some limitations that were faced were that there are limitations to any samplingcollection method. The clinics schedule data was used to confirm andsupplement collected data. The student team asked the patients to fill out datacollection forms. The limitations that were associated with this samplingcollection method included:

• Not all patients wanted to fill out the form.• Multiple forms were incomplete, missing key information such as

accurate times, or providers.

Findings

A. Data

The following table shows the summary statistics of the BCC. The sample sizeconsisted of 81 Breast Care Clinic patients.

5

Breast Care ClinicSummary Statistics

Pat1tit*IL

______

-; Wa StDev %ofPàti ‘

General Statistics:

# Patients 81 100% 21 26% 60[__— 74%#LateArrivals 18 22% 7 39% I 11 L— 61%Late Time 0:25 0:20 0:37 0:22 __—j 0:18 0:18

Provider Time* 0:24 0:14 ___ 0:34 0:15 __— 0:21 0:121Exam Room Time 0:55 0:27 __.__— 1:00 0:22 ___— 0:53 0:28 ___—

Notes:*provider time is the average time with any clinician per visit.-Times are listed in Hours:Minutes

The next table shows the times for the value added and non-valued addedportions of a patients visit. It breaks it down between new cancer patients andpatients from the 2 undiagnosed clinics. The percentage of patients columnshows what percentage of patients in each category (new cancer, orundiagnosed) experience each stage of the timeline.

Breast Care ClinicTimeline Duration Summary Statistics

ZZaverage Total Exam Room Time**** — 0:53 — 0:58 0:51value Added Time****

— 0:24 0:33 0:20‘lon-Value Added Time****

.— 0:30 0:25 0:303 Value Added Time ..— 44% 57% 40%

Notes:* NV = Non value added time** V = Value added time

Exit time is the time between the last encounter a patient has until the time that they exit the room.****Average Total Exam Room Time, Value Added Time and Non-Value Added Time are the sum of each events time multiplied by the % ofpatients that experienced that event.-Times are listed in Hours:Minutes

The following histograms show the data that was included in the above table.The first histogram shows graphically the total patient in-room time.

Wait for Encounter 2Encounter 2Wait for Encounter 3Encounter 3Exit time***

NVI)

NV

NV

0:180:110:080:080:070:06

0:130:140:070:080:100:11

100%63%63%15%15%

100%

0:290:050:090:020:010:04

0:160:030:090:000:000:07

48%48%5%5%

100%

0:140:130:080:090:070:07

0:090:150:060:080:100:12

68%68%18%18%

100%

6

Histogram of Total Patient In-Room Time

This next histogram shows the value-added in room time:

The next histogram shows the histogram of the total provider in-room time:

20

015a)

100•I

LI.

0

Time(h:m)

Histogram of Value-Added In-Room Time

C)Ca)D 10

....•,. I20% 25% 30% 35% 40% 45% 50% 55% 60% More

Percentage of Value-Added Time

7

This next graph shows the patient total in-room wait time:

The following histogram shows graphically the time before the patient sees thefirst provider.

20

Histogram of Total Provider In-Room Time

15C.)

0

d)Li.

10

5

00:10 0:20 0:30 0:40 0:50 1:00 1:10 1:20 More

Time (h:m)

Histogram of Patient Total In-Room Wait Time

25

>. 20C.)

.1oLi.5

0

Time (h:m)

8

The following table divides the data by provider:

Notes:N/A = Not Available-Some arrival times were not available for data analysis-Times are listed in Hours:Minutes

N/A 78% 100% N/A N/AN/A 22% 0% N/A N/A

The next histogram shows the amount of time, on average, that each providerspends with a patient.

Breast Care ClinicVisit Statistics Summary (By Provider)

100%0%

100%100%

50%50%

i.-...Time Before Seeing First Provider in Exam Room (Avg.) N/A 0:10 0:10 N/A 0:22 0:22 0:28 0:14 N/A 0:23 0:15 0:10Time Before Seeinci First Provider in Exam Room (St. 0ev) N/A 0:08 0:07 N/A 0:00 0:20 0:28 0:11 N/A 0:18 0:10 0:12Time with Provider (Avg.) N/A 0:27 0:33 N/A 0:05 0:18 0:41 0:14 N/A 0:17 0:36 0:29TimewilhProvider(St.Dev.) N/A 0:15 0:07 N/A 0:00 0:07 0:14 0:09 N/A 0:10 0:18 0:11Total Time in Exam Room (Avg.) N/A 0:52 0:51 N/A 0:28 1:00 1:21 0:33 N/A 0:52 0:57 1:01Total Time in Exam Room (St. 0ev.) N/A 0:31 0:10 N/A 0:00 0:27 0:27 0:03 N/A 0:22 0:28 0:29Wait Time in Exam Room (Avg.) N/A 0:30 0:17 N/A 0:23 0:41 0:39 0:19 N/A 0:34 0:20 0:32Wait Time in Exam Room (St. 0ev.) N/A 0:22 0:08 N/A 0:00 0:24 0:34 0:13 N/A 0:19 0:11 0:21

--

N/A 40%N/A 60%

75%25%

100%0%

9

Time Provider Spends with Patient

B. Informal Interviews

The student team conducted multiple informal interviews with the staffmembers of the BCC. The staff:

• Was helpful in suggesting problems and potential solutions• Explained the flow of the clinic to the student team• Was receptive to suggestions of change and felt that a change was

definitely needed• Confirmed our observation that patients wanted shorter wait times.• Confirmed our observation that if the lighting systems were to be a

standardized feature and everyone would use it, it would decrease patientwait time.

After speaking with fifteen Breast Care Clinic patients the student team canreport the following:

• Some new cancer patients complained about not being informedthroughout the day. These complaints included being angered that theywere told to arrive at 9am, but weren’t scheduled to see a provider untilafter 11am.

• Some patients stated that they were angry with all the time they waited,but when asked if they knew the wait could be that long, they respondedyes.

• Some patients did not seem to mind the long waits; this was especiallynoticed with new cancer patients.

0:43

0:36

__

0:28EEG 0:21

0:14

0:07

0:00

Provider #1 Provider #2 Provider #3 Provider #4 Provider #5 Provider #6 Provider #7

Provider

10

• Overall the patients complained most about not being updated on whenthey would be seen.

C. ObservationsOver the course of the 6-week time the student team spent observing theBreast Care Clinic, many observations were made.

• Medical Assistants are spending non-value added time finding out ifexam rooms are available and clean. They currently have to go fromthe nurses’ station to the exam rooms to determine the state of theroom.

• Most clinic providers do not utilize the current lighting system.• Some patients are spending a large amount of time sitting in exam

rooms waiting to see providers. Occasionally, patients would exit theirexam rooms and ask someone on the BCC staff if they had beenforgotten.

• It was once seen that three new cancer patients were scheduled at thesame time and the BCC only staffs two nurse practitioners. Each newcancer patient must see a nurse practitioner and this encounter takesapproximately 45 minutes. This guarantees that one of these 3 peoplemust wait.

• Rooms are under-utilized.

D. BenchmarkingThe student team also examined the Melanoma Clinic to benchmark. Someobservations included:

• The Melanoma Clinic completes patient pre-work (Outside Path,University of Michigan Hospital path, Previous Recommendations, etc.)before the patient arrives to the clinic.

• The Melanoma Clinic’s staff was very personable. They continuallyspoke with the patients and informed them when they would be seenby the provider and what their visit would entail. If a provider wasrunning late, the patient was immediately informed.

• Their philosophy is, “treat each patient like they were your familymember”, and this is how they treat the patients.

• The Melanoma Clinic’s patient population consists of patients that allhave the same problem, just different stages.

Alternative and/or Hypotheses Considered

As a result of the observations and data analyses, the student team hasdetermined several alternatives that were considered but found to be not feasibleto recommend for implementation. However, if the factors that make them notfeasible at this time change, they could be taken into consideration at a latertime.

11

A. Drop off of Mammograms

The student team considered having patients drop off their mammogramsbefore their Monday clinic appointment. This would allow additionalmammogram views to be taken before the Monday clinic; thus allowingpatients to arrive at their scheduled appointment time, not all at 9:00AM. Thiswould considerably reduce their wait time. This is not feasible at this timebecause some patients live too far away to come in twice, they just want tocome in for one day and have everything done. Another reason is because itrequires rework by radiology. The radiologists would have to read thepatients mammograms before their appointment and then reread themammograms on the day of the patient’s appointment.

B. Ship Mammograms

The student team also considered having the patient’s ship theirmammograms to the BCC before their Monday clinic appointment. Thiswould allow the patient to schedule an appointment with the radiologydepartment in order to have additional views taken. This would lead toimproved patient scheduling in the BCC because then the patients who didnot need additional views could just come at their appointment time and thepatients who did need additional view could come in at their scheduledradiology appointment. The current system of hand carrying themammograms has been determined to be the most efficient making this notreasonable. There is also an excessive cost of reading outsidemammograms with little reimbursement and many people do not show lead tonot implementing this consideration.

Conclusions

• Patients are experiencing added wait time in the waiting room because theBCC staff is not utilizing the lighting system. If all BCC staff used thelighting system then the MA’s would not have to spend time walking to theexam rooms to see if the rooms are available to put patients in. This timeis added time that the patient has to wait in the wait room.

• Many patients are spending more time with their provider than is allocatedfor them in the clinic schedule.

• Patients are uninformed about when they will see their provider and howtheir visit schedule will proceed.

• Patients are experiencing long wait times in exam rooms.• Breast Care Clinic is over scheduling.

12

Recommendations

• Further explore splitting the multidisciplinary clinic into 2 clinics, one fornew cancer patients and one for follow up visits (post-surgery). Patientsare dissatisfied with long waits that occur. The clinic could be split into 2half days, one to see the nurse practitioner (for the new cancer patients),and one for the second half of the new cancer patients treatment and forthe follow up visits. This would still require only one tumor board thatwould take place at the second clinic. All patients would still have thebenefits of the multidisciplinary clinic; they would just not have to stay inthe clinic for an entire day. Patients who are traveling a long distancewould have the option of either coming for an entire day, or utilizing theprospective new system of the split clinic.

• Further explore splitting the clinics into 2 separate days, one for theundiagnosed clinics and one for the multidisciplinary clinic. This wouldallow the clinic to utilize all their doctors for each clinic, each week.

• Standardize usage of lighting system. Not all providers are currently usingthe lighting system. This is causing the MA’s to spend time checkingrooms to make sure they are available before taking a patient back to theexam room. MA’s are then unable to complete other tasks, such asinforming patients when doctors are late. With standardized usage of thelighting system by all clinic staff, MA’s would not need to check the roomsbefore taking a patient back. MA’s could simply look at the light board todetermine available rooms. It must be stressed, however, that all staffmust use the system or it will not be fully effective.

• Make patient visits more personal. Since nobody visits the patients oncethey enter an exam room until the provider comes, some patients feel thatthey have been forgotten. By having an MA or available staff person gointo exam rooms with patients waiting, the patients feel like they are beingattended to. This does not significantly decrease overall wait time, butbecause the patients are constantly being attended to, they do not feel asdissatisfied with their wait. Also, if the lighting system is used effectively,MA’s will have time available so that they can speak with the patientswhen doctors are running late.

• Look further into changing patient duration scheduling. Because patientsare being scheduled for times shorter than their actual provider times,doctors get overloaded and cannot see patients at their scheduled times,This causes the patients to wait longer in the exam room to see theprovider. By scheduling for longer appointment duration times, patientswill have less wait time in the exam room.

13

• Perform pre-work for patients, similar to the pre-work done for the patientsin the Melanoma clinic, before the patient comes in for their appointment.Include data such as who the patient was referred by, their path outside ofthe University of Michigan health system, their University of Michiganhealth system path so far, and recommendations up to this point.

Action Plan

A. Lighting System

To implement the lighting system, all clinic staff needs to be trained on theusage of the lighting system. It should be known clinic wide that the lightingsystem is an essential way to keep the clinic running efficiently. This shouldbe implemented immediately. The lighting system is already in place so therewould be no extra cost involved with this recommendation. The providersneed to be taught how the system works and they need to use it every time.A Breast Care Clinic supervisor should implement this.

B. Personalization

Hold an informational seminar, available to all clinic staff, on customer serviceto aid in personalizing service. This can be implemented whenever a seminarcan be scheduled. A Breast Care Clinic supervisor should implement this.

C. Splitting Clinics

Explore options of having undiagnosed and diagnosed clinics on separatedays. This would require extensive financial and scheduling analysis todetermine feasibility. A Breast Care Clinic supervisor should implement this.

14

Definitions

The following definitions are needed in order to understand report content:

Early arrival Patient arrives before their scheduledappointment time.

Encounters When a patient is being seen by anycombination of providers.

FNA A fine needle aspiration.

NP A new patient.

Non-value-added time Any time the patient is not with any type ofprovider (waiting time).

Provider/Clinician A faculty or staff member, including Physicians,Residents, Fellows, Medical Assistants,Physician’s Assistants, Nurses, NursePractitioners, or Clerks.

RV A return visit.

Room utilization The percentage of time a patient is in theexamination room.

Time with provider The time a patient is with a provider.

Value-added time The time spent with a provider.

Visit duration The total amount of time the patient spends in the clinic.

15

Cl)a)BI-

= Patient Waiting in Exam Room Without Provider

Patient Time with Provider

Breast Care Clinic Room Utilization

App

endi

xA

Bre

ast

Car

eC

lini

cS

umm

ary

Sta

tist

ics

All

Pat

ient

sN

ewC

ance

rP

atie

nts

Und

iagn

osed

Pat

ient

s

Cat

egor

yA

vera

geSt

.D

ev.

%of

Pat

ient

sA

vera

geSt

.D

ev.

%of

Pat

ient

sA

vera

geSt

.D

ev.

%of

Pat

ient

s

Gen

eral

Sta

tist

ics:

100%

2126

%60

74%

#P

atie

nts

81#

Lat

eA

rriv

als

1822

%7

39%

1161

%L

ate

Tim

e0:

250:

200:

370:

220:

180:

16

Key

Tim

esS

umm

ary:

Pro

vide

rTim

e*0:

240:

140:

340:

150:

210:

12E

xam

Roo

mT

ime

0:55

0:27

1:00

0:22

0:53

0:28

Not

es:

*pro

vide

rtim

eis

the

aver

age

tim

ew

ithan

ycl

inic

ian

per

visi

t.-T

imes

are

liste

din

Hou

rs:M

inut

es

Sam

ple

Siz

e=

81P

atie

nts

Appen

dix

BB

reas

tC

are

Cli

nic

Tim

elin

eD

urat

ion

Sum

mar

yS

tati

stic

s

________

All

Pat

ient

sN

ewC

ance

rP

atie

nts

Und

iagn

osed

_Pat

ents

Cat

eqor

yA

vera

geSt

.D

ev.

%of

Pat

ient

sA

vera

geSt

.D

év.

%of

Pat

ient

sA

vera

geSt

.D

ev.

%of

Pat

ient

s

zz

zzT

imel

ine:

Wai

tfo

rE

ncou

nter

1N

V*

0:15

0:15

100%

0:19

0:19

100%

0:13

0:14

100%

Enc

ount

er1

V**

0:18

0:13

100%

0:29

0:16

100%

0:14

0:09

100%

Wai

tfo

rE

ncou

nter

2N

V0:

110:

1463

%0:

050:

0348

%0:

130:

1568

%

Enc

ount

er2

V0:

080:

0763

%0:

090:

0948

%0:

080:

0668

%

Wai

tfo

rE

ncou

nter

3N

V0:

080:

0815

%0:

020:

005%

0:09

0:08

18%

Enc

ount

er3

V0:

070:

1015

%0:

010:

005%

0:07

0:10

18%

Exi

ttim

e***

NV

0:06

0:11

100%

0:04

0:07

100%

0:07

0:12

100%

—__

EE

ZA

vera

geT

otal

Exa

mR

oom

Tim

e***

*0:

530:

580:

51V

alue

Add

edTi

me*

***

—0:

240:

330:

20N

on-V

alue

Add

edTi

me*

***

—0:

300:

250:

30%

Val

ueA

dded

Tim

e—

44%

57%

40%

Not

es:

*N

V=

Non

valu

ead

ded

tim

e**

V=

Val

uead

ded

tim

eE

xit

tim

eis

the

tim

ebe

twee

nth

ela

sten

coun

ter

apa

tien

tha

sun

tilth

eti

me

that

they

exit

the

room

.**

**A

vera

geT

otal

Exa

mR

oom

Tim

e,V

alue

Add

edT

ime

and

Non

-Val

ueA

dded

Tim

ear

eth

esu

mof

each

even

tsti

me

mul

tiplie

dby

the

%of

pati

ents

that

expe

rien

ced

that

even

t.-T

imes

are

list

edin

Hou

rs:M

inut

es

Sam

ple

Siz

e=

81P

atie

nts

App

endi

xC

Bre

ast

Car

eC

lini

cV

isit

Sta

tist

ics

Sum

mar

y(B

yP

rovi

der)

Prov

ider

#1Pr

ovid

er#2

Prov

ider

#3Pr

ovid

er#4

Prov

ider

#5Pr

ovid

er#6

Prov

ider

#7N

CP

UN

DN

CP

UN

DN

CP

UN

DN

CP

UN

DN

CP

UN

DN

CP

UN

DN

CP

UN

D

tatistcs:

Sam

ple

Siz

e0

145

01

104

2-

010

47

613

%O

nT

im&

Ear

lyA

rriv

als

N/A

78%

100%

N/A

N/A

100%

100%

50%

N/A

40%

75%

100%

N/A

71%

%L

ate

Arr

ival

sN

/A22

%0%

N/A

WA

0%10

0%50

%N

/A60

%25

%0%

N/A

29%

Tim

eSu

mm

ary:

Tim

eB

efor

eS

eein

gFi

rst

Pro

vide

rin

Exa

mR

oom

(Avg

.)N

/A0:

100:

10W

A0:

220:

220:

280:

14N

/A0:

230:

150:

100:

210:

09

Tim

eB

efor

eS

eein

gFi

rst

Pro

vide

rin

Exa

mR

oom

(St.

Dev

)N

/A0:

080:

07N

/A0:

000:

200:

280:

11N

/A0:

180:

100:

120:

170:

06

Tim

ew

ithP

rovi

der(

Avg

.)N

/A0:

270:

33N

/A0:

050:

180:

410:

14N

/A0:

170:

360:

290:

290:

13T

ime

with

Pro

vide

r(S

t.D

ay.)

N/A

0:15

0:07

N/A

0:00

0:07

0:14

0:09

N/A

0:10

0:18

0:11

0:17

0:09

Tot

alT

ime

inE

xam

Roo

m(A

vg.)

N/A

0:52

0:51

N/A

0:28

1:00

1:21

0:33

N/A

0:52

0:57

1:01

1:01

0:40

Tot

alT

ime

inE

xam

Roo

m(S

t.D

ev.

N/A

0:31

0:10

N/A

0:00

0:27

0:27

0:03

N/A

0:22

0:28

0:29

0:19

0:20

Wai

tT

ime

inE

xam

Roo

m(A

vg.)

N/A

0:30

0:17

N/A

0:23

0:41

0:39

0:19

N/A

0:34

0:20

0:32

0:31

0:27

Wai

tT

ime

inE

xam

Roo

m(S

t.D

ev.)

N/A

0:22

0:08

N/A

0:00

0:24

0:34

0:13

N/A

0:19

0:11

0:21

0:19

0:19

Not

es:

N/A

=N

olA

vaila

ble

5om

ear

riva

ltim

esw

ere

not

avai

labl

efo

rda

taan

alys

is-T

imes

are

liste

din

Hou

rs:M

irru

tes

Sam

ple

Size

=76

Pat

ient

s

nC)

App

endi

xD

Tot

alP

atie

ntIn

Exa

mR

oom

Tim

e

2:52

2:24

1:55

E &1:

26a) E iz

0:57

0:28

0:00

Pat

ien

ts

\.I

Ap

pen

dix

ET

otal

Pat

ient

In-R

oom

Wai

tT

ime

1:40

-

1:26

-

1:12

-

£O

:57

C) p043

+•

+

0:28

-

0:14

0:00

Pat

ient

s

1:04

0:57

0:50

0:43

0:36

0:28

0:21

0:14

0:07

0:00

n

App

endi

xF

Wai

tT

ime

InE

xam

Roo

mB

efor

eP

atie

nt

See

sF

irst

Pro

vid

er

E G) E iz

Pat

ients

0.

App

endi

xG

Tot

alP

rovi

der

InE

xam

Roo

mT

ime

1:12

1:04

0:57

0:50

__

0:43

E £0:

36a) .

0:28

0:21

0:14

0:07

0:00

Pat

ien

ts

•V

alue

-Add

edT

ime

LJN

on-V

alue

-Add

edT

ime

n

Ap

pen

dix

HT

otal

Pat

ient

In-R

oom

Tim

e

44%

56%

00

App

endi

xI

Pat

ients

Tha

tW

aite

dIn

Wai

ting

Roo

m

•P

atie

nts

Tha

tD

idN

otW

ait

DP

atie

ntT

hat

Wai

ted

>1

0 C 0•

G) L1

App

endi

xJ

His

togr

amof

Tot

alP

atie

ntIn

-Roo

mT

ime

18 16 14 12 10 8 6 4 2 00:

100:

200:

300:

400:

501:

001:

101:

201:

301:

401:

502:

002:

102:

202:

302:

40M

ore

Tim

e(h

:m)

BC

CD

ata

Ana

lysi

s

>1

0 0 a) LL.

2 0

App

endi

xK

Tot

alP

atie

ntIn

-Roo

mT

ime

0:10

0:20

0:30

0:40

0:50

1:00

1:10

1:20

1:30

1:40

1:50

2:00

2:10

2:20

2:30

2:40

Mor

e

Tim

e(h

:m)

n

18 16 14 12 10 8 6 4

20 18 16 14 12 10 8 6 4 2 0

App

endi

xL

His

togr

amof

Tot

alP

rovi

der

In-R

oom

Tim

e

C.) C G) z a) LI

0:10

0:20

0:30

0:40

0:50

1:00

1:10

1:20

Tim

e(h

:m)

Mor

e

BC

CD

ata

Ana

lysi

s

0 C z 0• a) LL

App

endi

xM

Tot

alP

rovi

der

In-R

oom

Tim

e

Tim

e(h

:m)

20 18 16 14 12 10 8 6 4 2 00:

100:

200:

300:

400:

501:

001:

101:

20M

ore

Cl)

4-’ C .! 4-’ 0 II 0 -o E z

Appen

dix

N(U

nd

iag

no

sed

)P

rovid

erIn

-Roo

mT

ime

25 20 15 10 5 0

0-10

10-2

020

-30

30-4

040

-50

50-6

0M

ore

Tim

ein

Min

utes

NumberofPatients-LL

C01001001

N2: \co

o/CD

/0.

7II —.

CA)I cpCDX—.CJ—

/C

/01/o 0/

301/-‘C—.

0CD

0-‘CD

Cl)

C .! II 0 II 0 G) . E z

0-10

10-2

020

-30

30-4

040

-50

Tim

ein

Min

utes

50-6

0M

ore

App

endi

xP

(New

Can

cer)

Pro

vid

erIn

-Roo

mT

ime

7 6 5 4 3 2 1 0

Cl)

(U 0 0 a) E 3 z

App

endi

x0

(New

Can

cer)

Pro

vide

rIn

-Roo

mT

ime

7 6 5 4 3 2 1 0

10-2

00-

1020

-30

30-4

040

-50

50-6

0M

ore

Tim

ein

Min

utes

0 a) z 0 a) U-

25

App

endi

xR

His

tog

ram

ofP

atie

nt

Tot

alIn

Exa

mR

oom

Wai

tT

ime

20 15 10 5 0

Tim

e(h

:m)

BC

CD

ata

Ana

lysi

s

C.)

0•

I U-

Appen

dix

SP

atie

nt

Tot

alIn

-Roo

mW

ait

Tim

e

nC

25 20 15 10 5 00:

100:

200:

300:

400:

501:

001:

101:

201:

301:

40M

ore

Tim

e(h

:m)

0 z 0•

G) U-

Appen

dix

TT

ime

Bef

ore

Pat

ient

sees

Fir

stP

rovid

er20 18 16 14 12 10 8 6 4 2 0

0:05

0:10

0:15

0:20

0:25

0:30

0:35

0:40

0:45

0:50

0:55

1:00

1:05

Mor

e

Tim

e(h

:m)

BC

CD

ata

Ana

lysi

s

:fl

fl

Ap

pen

dix

UT

imeB

efore

Pat

ien

tse

es

Fir

stP

rov

ider

20 18 16 14

01

2

10

0 a) U6 4 2 0

0:05

0:10

0:15

0:20

0:25

0:30

0:35

0:40

0:45

0:50

0:55

1:00

1:05

Mor

e

Tim

e(h

:m)

fl

C.) a) LL

App

endi

xV

His

togr

amof

Appontm

ents

Sta

rtin

gA

fter

Sch

edule

dT

ime

25 20 15 10 5 00:

100:

200:

30

11 1:00

1:10

1:20

Tim

e(h

:m)

1:30

1:40

1:50

2:00

Mor

e

BC

CD

ata

Ana

lysi

s

Ap

pen

dix

WH

isto

gra

mof

Lat

eA

pp

oin

tmen

ts

25-

20

>1 01

5

0• 1o

LL

5 0-

II

0:10

0:20

0:30

0:40

0:50

1:00

1:10

1:20

1:30

1:40

1:50

2:00

Mor

e

Tim

e(h

:m)

C.)

C G) 0 LL.

App

endi

xX

His

togr

amof

Val

ue-A

dded

In-R

oom

Tim

e

20 18 16 14 12

10 8 6 4 2-

0-

II

20%

25

%30

%35

%40

%45

%50

%55

%60

%M

ore

Per

centa

ge

ofV

alue

-Add

edT

ime

BC

CD

ata

Ana

lysi

s

>% 0 C G) I-

Li.

Tim

e(m

m)

70M

ore

App

endi

xY

Arr

ival

Tim

e-

Appoin

tmen

tT

ime

10 9 8 7 6 5 4 3 2 1 0

-50

-30

-10

1030

50

C L.

LL

n

Appen

dix

ZA

rriv

alT

ime

-A

pp

oin

tmen

tT

ime

10 9 8 7 6 5 4 3 2 1 0

-50

-30

-10

1030

50T

ime

(mm

)70

Mor

E

L.C)V>o -

I— Eiz

. -g•1-’ -

0U)

E IU)

cC)

Cu

a)(I)0.

,l 0 a)

5— 0• • U)w

a)2

CD.—

V

D

I

C)

CD CC) C’.J C C

C C C C C

- (ww:q)ewij

V• —

oO a)

-3

-G)

-

-— a)—

X.—o• I..

yb

C’)

O-.—I— >0

D0a)2

-

CCu

C-)

zODT-C

(ww:q)aw

C.)C.)x

04)0.

a)EizC

•1-CD0.Va)C’)0Ca)Cu

CD

a)z

a)EI

a)

0

G)CoCu

Cl)

0

ci)EF-c,a)D

ci)-

0Co

Cci)

0

‘IC’4j

LC)

aC’)

0

Co

a 0

000

(ww:q) awii

0n

App

endi

xD

D

Ret

urn

Undia

gnose

dP

atie

nt

Tim

ew

ith

Pro

vide

r(b

ased

onL

ast

Pro

vide

rO

utof

Exa

mR

oom

Tim

em

inus

Fir

stP

rovi

der

InE

xam

Roo

mT

ime)

1:12

-

0:57

-

0:4

3-

.0:

28I-

0:14

0:00

Pat

ient

s

—+—

Tim

eP

rovi

der

Spe

ntW

ithP

atie

nt—

Schedule

dT

ime

n•0

App

endi

xE

EN

ewC

ance

rP

atie

nt

Tim

ew

ith

Pro

vid

er(b

ased

on

Las

tP

rovid

erO

utof

Exa

mR

oom

Tim

em

inu

sF

irst

Pro

vid

erIn

Exa

mR

oom

Tim

e)

1:26

1:12

i—0:

28

0:14

0:00

Pat

ients

Tim

eP

rovi

der

Spe

ntw

ithP

atie

nt—

Sch

edul

edT

ime

C)

VA

ppen

dix

FF

New

Undia

gnose

dP

atie

nt

Tim

ew

ith

Pro

vid

er(b

ased

onL

ast

Pro

vide

rO

utof

Exa

mR

oom

Tim

em

inus

Fir

stP

rovi

der

InE

xam

Roo

mT

ime)

2:24

-

1:55

-

1:26

0:5

7-

Pat

ients

—.-T

ime

Pro

vide

rS

pent

With

Pat

ient

*S

ched

uled

Tim

e

E -C a) E I-

App

endi

xG

GA

ver

age

Tim

eS

pen

tW

ith

Pat

ient

(by

Pro

vide

r)

0:32

0:43

0:36

0:28

0:21

0:14

0:07

0:00

0:17

0:17

I•

I•

II

Pro

vide

r#1

Pro

vide

r#2

Pro

vide

r#3

Pro

vide

r#4

Pro

vide

r#5

Pro

vide

r#6

Pro

vide

r#7

Pro

vid

er

Cl)

G)

C WE jz

Ap

pen

dix

HH

Pat

ient

Wai

tR

oom

Tim

e

8:30

-910

:30-

11A

fter

11Th

90 80 70 60 50 40 30 20 10 0

9-9:

309:

30-1

010

-10:

30

Sch

edu

led

Appoin

tmen

tT

ime

90 80 70 60 50 40 30 20 10

Ap

pen

dix

IIP

atie

nt

Wai

tR

oom

Tim

e

Cl) a) z C I:

0

8:30

-99-

9:30

9:30

-10

10-1

0:30

10:3

0-11

Sch

edule

dA

ppoin

tmen

tT

ime

Aft

er11

Appendix JJFlow Chart for Returning and Benign Patients

Check-InWaiting Room Vitals Taken

Exam Room

Resident)Proper Area for their

Diagnostics

ACheck-Out

Reschedule

C

Appendix KKFlow Chart for Multi-Disciplinary (New Cancer) Patients

Check-In at ClinicIncludes Passing

On PathologySlides

Radiology forMore Pictures

Waiting Room

Go to ProperDestination fortheir treatment

Placed in Exam Roomwhere they will seedifferent doctors if

neccesary

Drop offMammograms at

RadiologyWait Room