final report ely kuo-vasher project coordinator

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University of Michigan Comprehensive Cancer Center Clinic Patient Flow Study Final Report Project Client: Ely Kuo-Vasher University of Michigan CCC Clinical Department Associate Project Coordinator: Mary Duck Programs & Operations Analysis Senior Management Engineer Project Team: Christi Bierenga Katie Cole Angela Kvasnica April 26, 1999

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University of Michigan Comprehensive Cancer CenterClinic Patient Flow Study

Final Report

Project Client:

Ely Kuo-VasherUniversity of Michigan CCC Clinical Department Associate

Project Coordinator:

Mary DuckPrograms & Operations Analysis Senior Management Engineer

Project Team:

Christi BierengaKatie Cole

Angela Kvasnica

April 26, 1999

University of Michigan Comprehensive Cancer CenterClinic Patient Flow Study

Final Report

Project Client:

Ely Kuo-VasherUniversity of Michigan CCC Clinical Department Associate

Project Coordinator:

Mary DuckPrograms & Operations Analysis Senior Management Engineer

Project Team:

Christi BierengaKatie Cole

Angela Kvasnica

April 26, 1999

TABLE OF CONTENTS

Executive Summary. 1

Definitions 2

Introduction & Background 3

Approach & Methodology 4

Findings 7

Conclusions 8

Recommendations 10

Team 1 Findings (2.

Team 4 Findings 27

C Team 6 Findings 44

Appendix A: Gantt Chart

Appendix B: Data Collection Sheet

Bibliography 71

EXECUTIVE SUMMARY

The purpose of this project is to analyze patient flow for Clinic Teams 1, 4 and 6 in the ComprehensiveCancer Center at the University of Michigan Medical Center. Another group analyzed Clinic Teams 2, 3,and 5, and summarized their findings in a separate report. In response to the CCC specific goals ofcontinuous improvement, we analyzed the clinics’ perfonnance in order to recommend actions to:

• Increase examination room utilization• Decrease patient visit time, especially through reducing non-value added time• Develop an on-going monitoring system for internal performance evaluations

to create a “Balanced Scorecard”

In order to gain an understanding of clinic operations, we observed the clinic, interviewed key staff andcreated a flow chart of the current situation. It was determined that the most effective means to collectdata was through patient participation. A data collection sheet was designed and distributed to all patientsat Check-In for the duration of March 12, 1999 through April 6,1999.

Analysis of the collected data included stratification by patient type, physician, and session (mornings vs.afternoons). In certain instances, an insufficient volume of data was obtained, making it impossible tostratify the data to physician level or draw reasonable conclusions.

As a result of our observations and data analyses, we have determined that there are several areas ofambiguity in Clinic Teams 1,4, and 6, which should be clarified to improve service:

• Definition of Appointment Time• Order of Service• Patients’ Expectations of Clinic Visit• Exam Room Activity• Wait Time vs. Value-Added Time• Insufficient Data to Make Conclusions Regarding New Patients

We have found that there is an opportunity for continuous improvement in the areas of examination roomutilization, and patient wait time. We recommend that the CCC consider the following changes:

• Clarify Appointment Time• Serve Patients in Scheduled Order (except for late patients)• Communicate Pre- and Post-Clinic Activities to Patients• Utilize Vitals Station and Consult Rooms• Review Scheduling• Collect Additional Data from New Patients

DEFINITIONS

The following definitions are critical to understanding report content:

RV Return Visit

NP New Patient

Value-added time Time spent in all provider encounters, as well as Check In, Vitals &Check Out

Non-value-added time Time spent waiting between each encounter

Room utilization The percentage of time a patient is in the examination room, of thetime that room is allocated

Early (arrival) Patient arrival before, or exactly at, their scheduled appointment

Provider/Clinicians A faculty or staff member, including Physician, Resident/Fellow,Medical Assistant, Physician’s Assistant, Nurse, Clerk

Time with provider Time the patient is with a provider or team member

Time with physician Time the patient is seeing the physician they are scheduled to meet

Visit duration Amount of time the patient spends in the clinic; Check In untilCheck Out

Encounters When a patient sees a provider, or any combination of providers

Session A clinic’s morning or afternoon allocated time; generally 8 a.m. — 12p.m. and 1 p.m. to 5 p.m.

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I. INTRODUCTION & BACKGROUND

A. Introduction

The Comprehensive Cancer Center (CCC) of the University of Michigan Medical Centerrequested a study to be done to determine room utilization and patient flow. The Departmentof Programs and Operations Analysis assigned two groups of three student consultants toconduct a patient flow analysis in the CCC outpatient clinics. Each consultant was assigned toone clinic team. The consultants analyzed room utilization, patient wait times, session timeduration, and other general statistics. This report focuses on Clinic Teams 1, 4, and 6. Thegoal will be to decrease patient wait times by increasing the amount of “value-added” activityduring clinic visits in order to improve room utilization and patient flow.

B. Background & Environment affecting the project

The Comprehensive Cancer Center requested this study done, in an effort to continuouslyimprove the care and resources provided at the CCC. Room utilization is of the utmostimportance, as patient volume has been increasing, while space has remained the same.Rooms are shared between some teams, creating a loss of available rooms for add-on patients,and heavily booked schedules. It is essential that the Clinic Coordinators and CCC staff knowwhich rooms are being utilized to more effectively schedule patients.

• Patient growth in the clinics has been about 29% over the last 2 years; withinthe same period, the same space has been allocated

• No clinic patient flow study has been conducted since the ComprehensiveCancer Center moved to its new facility 1- 1/2 years ago

C. Scope

This study focused on what activities the patient encounters during his/her visit. Itencompasses the patient’s visit spanning from the time he/she checks in to the CCC, to thetime he/she arrives at check-out. It does not include treatments, such as infusions, lab tests,and blood draws, if performed outside of the examination room. Both early and late arrivalsare included in th calculation of wait time. Because this study is to determine roomutilization and piiient wait times, material flow within the clinic is not addressed.

D. Purpose & Goals

In response to the CCC specific goals of continuous improvement, we analyzed the clinics’performance in order to recommend actions to:

• Increase examination room utilization.Room utilization is the percentage of time an allocated room is used. A room isconsidered used when a patient is in it regardless if the patient is with a provider.The following displays an example schematic for one room in a session:

Room #18am 12pm

Patient I Patient 2 :EipLJ Patient 3 73

The utilization in Room #1 is less than 100% because there is not a patient in the roomat all times. However, it is unreasonable to set a target greater than 60 to 70% forutilization. The next step at reviewing room utilization is to determine the “Effective”or “Value Added” Room Utilization. This determines how much of the sum ofpatients’ time in the room is spent with a provider. To increase room utilization thegaps between patients must be reduced. Eliminating wait time can reduce the amountof time a patient spends in the exam room, leaving the exam room available for morepatients.

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

Decreasing patient visit time has two benefits:• The patient is satisfied• Room time is made available

The following schematic displays an example of one patient in a session from Time intothe Exam Room until Time exit the Exam Room:

Patient #1I Wait I Provider 1

----. Itl

... Provider2 I Wat:I Provider 3

While increasing room utilization is important for the clinic, the patient will not seeany direct benefit. To improve the overall visit of the patient, the value-added timemust increase without increasing the time a patient stays in the exam room.

Develop an on-going monitoring system for internal performance evaluationsto create a “Balanced Scorecard”

II. Approach & Methodology

A. Phases, Steps, and Approaches• Phases: 1. Interviewing

— 2. Observation3. Data Collection4. Data Analysis5. Recommendations

• Steps are listed in the Gantt Chart (attached, Appendix A).

• Approaches: 1. Observation of clinic operations2. Interview key staff3. Flow chart the current situation4. Design data sheet for data collection

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B. Methodology

• The General Method

The project consists of a patient flow study to determine room utilization andpatient wait times, and analysis of the data collected in order to formrecommendations for better use of examination rooms and improvedscheduling.

C. Key Steps

The following key steps were performed during the project:

• Interviews with staff• Literature Search• Benchmark• Meetings with Project Coordinator• Observation• Creation of Data Collection Form• Collection of Data• Analyze and Report Data

Information about these steps follow:

Interviews with StaffInterviews were conducted with the Clinic Coordinators, MedicalAssistants, Clerks and Physicians. The initial interviews were informalover the course of several days to assess the patient flow in the CCC.

Literature SearchSeveral time flow studies were previously performed with the CCC. Thesestudies include:

• 1995 Hemoc Study• 1998 Infusion Study

- 1997,1998 Nurse & MA Studies• Comprehensive Cancer Center Operations Plan

BenchmarkIn the analysis of the CCC, we are privileged to study several teamssimultaneously. Through the literature searches and interviews, it wasfound that Team 4, led by Robyn Napieraiski, has been used as abenchmark for check-in systems. We utilized Team 4’s previous exposureto data collection studies to aid in the development of our data collectionform.

Meetings with Project CoordinatorDuring this study, we met with our Project Coordinator, Mary Duck, forweekly progress reports. Ms. Duck provided literature, guidance, andsuggestions for the overall project, as well as aided in the clarification of the

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current system at the CCC. She defined many of the relevant acronyms andterms used frequently in the University Hospital.

ObservationDuring observation the process flow was watched for bottlenecks andexcessive “non-value added time”. Several of the staff members madecomments during this time and offered suggestions for improvement. Itwas determined that a data collection form was the best method of gainingthe required patient visit information.

Creation of Data Collection FormThe form that was used in previous patient flow studies was revised andimplemented to fit the needs of this study. Times from patient check-in untilcheck-out, were recorded with a separate space for each encounter. Theform was reviewed and approved by the lead doctors before actual datacollection took place.

The Data Collection Form is attached as Appendix B.

Collection of DataData collection was performed March 12 through April 2, 1999, excludingweekends. Sample data was taken to insure clarity of the data collectionform before the final revision was implemented. The representative samplesize captured was 40% of the scheduled appointments.

• Results give:

• Session Time Duration• First Patient Wait Time• Examination Room Utilization• General Clinic Statistics

• New Patients vs. Routine Visits• Averages & Standard Deviationsa Provider Time• Examination Room Time• Average # of Clinicians Seen During Visit

D. LimitationsThere are limitations to any sampling collection method. Scheduled data was used toconfirm and supplement collected data. Limitations are a result of the data collectionform, the nature of the clinic, and additional patients.

• Patients filled out data collection forms. The limitations associated with thissampling collection method include:

1. Not all patients wanted to fill out the form2. Data may be incomplete, missing any of the following fields:

• Provider• Accurate times• Vitals

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• Room number

Nature of Clinic

• Patients that came in every other day did not want to keep filling out forms• Rooms are shared with other teams so utilization is difficult to determine

• Add-On Patients, “Sick” Patients, New Patients

• New Patients may be intimidated by first visit, and primarily focused on health• Add-On Patients may not have received data collection form• “Sick” Patients may have been unable to physically complete form

Particular to this study there were several instances where the clinic staff was not clear onthe purpose of the research being done. This resulted in days with no data, extensions ofdata collection in some clinics, and less data due to patients who were advised not to fillthem out. The lack of communication in some clinics limited the amount of data collected.

III. Findings

A. Informal Interviews

During informal interviews the staff was very helpful in suggesting problems and potentialsolutions. They were receptive to suggestions of change and expressed an interest in how thisstudy would help them. Staff members confirmed our observation that patients desire shorter waittimes and more “value-added” time in their visit.

B. Observation — Overall Patient Flow

Teams operated in slightly varied ways, however the overall model is similar. Clinics opened at8:00 a.m., which means the first appointment is not scheduled until this time. Patients, however,arrived as early as 45 minutes before their scheduled appointment. Morning sessions arescheduled from 8:00 a.m. to 12:00 p.m., but may run longer based on the arrival of patients. Theafternoon session schedule begins at 1:00 p.m. and runs until 5:00 p.m. Upon arrival to the CCC,the patient checks iuwith the check-in clerk. Some patients may be scheduled for blood work,infusion, x-rays, or labs before or after the appointment with their provider. (If these activitiesfollow the appointment, patients check out before continuing on to these events.) After check-in,the MA takes vitals. The patient is then placed in the exam room to wait for their provider. Afterseeing their provider and his/her clinicians, the patient checks out. A more detailed description ofthe current situation is provided in the following team analysis and findings.

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C. Data Analysis - Summary Statistics

Clinic Team 1 Team 4 Team 6Sample Size 230 304 110Physician Time 0:32 0:44 0:10ProviderTime 0:41 1:02 0:26Exam Room Time 1:12 1:00 0:47WaitTime 1:03 0:59 0:52Visit Time 1:40 1:36 1:18% Value Added Time 39% 57% 33%% Room Utilization 152% 28% 45%% Value Added Room

42% 94% 36%UtilizationTable Cl. CCC Teams 1,4,6 Summary Statistics

C

All times in Table Cl are listed in Hours:Minutes format, and represent averages only.

As seen from the Summary Statistics presented in Table Cl, there is little consistency amongTeams 1, 4, and 6 in any of the key timeline statistics:

• The physician time ranges from 10 minutes to 44 minutes, with Team 4 having the greatestduration.

• Provider time ranges from 26 minutes to 1 hour 2 minutes, with Team 4 again having thegreatest duration. Provider time is the time spent with any clinician, including the CheckIn and Check Out clerks, and Medical Assistants.

• The time the average patient spends in the exam room ranges from 47 minutes to 1 hour 12minutes, with Team 6 having the shortest duration. Short exam room durations arepreferable, especially when they are greater than the physician or provider times, because itindicates that patients are not “parked” in the rooms.

• Wait time is fairly consistent for the three teams, ranging from 52 minutes to 1 hour 3minutes. The total visit time ranges from 1 hour 18 minutes to 1 hour 40 minutes, withTeam 6 again having the shortest duration.

• Teams 1 and 6 have a close Value Added Time percentage, at 39% and 33% respectively.Team 4 has the highest Value Added Time percentage at 57%. Team 4 also has the highestValue Added Room Utilization percentage at 94%. Teams I and 6 have 42% and 36%,respectively.

Conclusions

As a result of our observations and data analyses, we have determined that there are several areasof ambiguity in Clinic Teams 1,4, and 6, which should be clarified to improve service.

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A. Definition of Appointment Time

We believe that the hospital staff currently views appointment time as the time the patient isscheduled to be seen by the physician. However, patients understand appointment time as thetime he/she is to arrive at the clinic. This discrepancy might account for the large wait timesbefore the first physician encounter.

B. Order of Service

It was found both by observation and analysis of check-in times. patients who arrivesignificantly ahead of their scheduled appointment time are seen ahead of schedule.Therefore, patient flow is disrupted because patients are seen on a first-come, first-served basisrather than in order of scheduled appointment time.

C. Patients’ Expectations of Clinic Visit

Patients at the CCC may have a series of appointments that consists of procedures ortreatments. These activities may take place before or after the scheduled appointment withtheir physician. As a result, patients who mistakenly believe they have a procedure beforetheir appointment may show up significantly early. In contrast, patients who mistakenlybelieve they do not have a procedure may be sent out of the clinic causing schedule disruption.Overall, it was found that patients are not clear on the events they need to participate in whenthey come to the clinic. This miscommunication may be a source of non-value-added time.

D. Exam Room Activity

In addition to examination rooms, each clinic has a designated area for vitals. We found thatin many cases, blood draws and vitals were performed in the exam room rather than at theirappropriate locations. Educational activities such as viewing videos, and consulting with asocial worker or psychiatrist were found to take place in the examination room. Examinationroom availability and utilization is affected by these non-exam activities.

E. Wait Time vs. Value-Added Time

During a patienf’ visit, it is their expectation that the majority of their time will be spent witha health care provider. The current situations in the CCC clinics barely meet (on average) thisexpectation. We found that in a majority of the cases, patients are with a provider no morethan 50% of the total visit time. The time with provider includes both Check-In and CheckOut activities. The time spent with the physician is an even smaller percentage of the visitduration. Having a low percentage of value-added time during a visit can cause patientfrustration and restlessness. When patients are restless, they are more apt to wander aroundthe clinic, go to the bathroom, or leave the clinic, potentially affecting clinic performance.

F. Insufficient Data to Make Conclusions Regarding New Patients

We found, while compiling and analyzing the data, that a very low number of new patientscompleted the survey form. While this limitation of the study was described in the Approach& Methodology section earlier, it has particular importance at this point. On average, theclinic sees significantly fewer new patients than return patients. The duration of this study didnot allow us to capture a statistically significant number of new patients. Much new patient

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analysis is missing due to the small sample, which did not allow us to make reasonableconclusions. A complete picture of clinic operations, especially room utilization and time withprovider. is not available due to this missing data.

G. Benchmark Team

When examining percent value-added time per team, we found Team 4 to have significantlybetter results, at 57%. This is very close to the University of Michigan Health Systemsbenchmark of 60%. Team 1 and Team 6 had percent value-added time 39% and 41%,respectively.

V. Recommendations

We have found that there is an opportunity for continuous improvement in the areas ofexamination room utilization, and patient wait time.

A. Redefine Appointment Time

To ensure that physicians are not delayed by waiting for patient arrival, it is suggested that acheck-in time be issued to each patient, including the durations of check-in time and vitals.This will allow patients to be in the exam room at their scheduled appointment time.

B. Serve Patients in Scheduled Order

It is recommended that patients should be served in the scheduled order, with the exception ofadd-ons. Redefining appointment time will aid in this process by reducing the number ofpatients who arrive at the clinic excessively early. Patients may have learned throughexperience that arriving early increases the likelihood that they will be seen before theirappointment time. Seeing patients in their scheduled order will condition them to arrive ontime.

C. Communicate Pre- and Post-Clinic Activities to Patients

While scheduling the next appointment patient should be advised as to what activities it willinclude. This will aid patients in estimating the time they should arrive to the clinic. Currentpractices of infoThuing patients about their next visit can be improved. Subsequent visitconfirmations should include activities outside of the clinic.

D. Utilize Vitals Station and Consult Rooms

One way to address exam room utilization is to perform vitals at the vitals station. Consultrooms can also be used to ease the current strain on exam rooms. Each of these will movenon-exam activities out of the examination room, allowing for better utilization of clinic space.A further study of consult and treatment rooms would be helpful to understand their currentand potential usage.

E. Review Scheduling

In order to reduce wait times, it may be necessary to review the clinic scheduling system. It isimportant that the time allotted per doctor for a patient visit represents approximately theaverage time they spend with the patient.

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F. Collect Additional Data from New Patients

An additional study should be done, targeting new patients, to capture their specificexperiences. A data collection survey, similar to this one, could be included in the packetpatients receive upon check-in at the clinic. Duration of this study should span at least threemonths.

G. Benchmark Team

To use available resources, it is recommended that Team 4 be used as a benchmark for otherCCC teams. Closely examining Team 4 practices would allow other teams to adopt Team 4’ssuccessful aspects of clinic management.

I I

Team I Findings

Current SituationTeam 1 is the Adult Hematology/Cutaneous Lymphoma and the Multidisciplinary LyrnphomaClinic. The team leader is Dr. Kaminski. Dr. Adams, Dr. Bockenstedt, Dr. Bowen, Dr. HarryErba, Dr. Gribbin, Dr. Githn, Dr. Hiss, Dr. McDonagh, Dr. Petruzzelli and Dr. Schmaier supportthe team. The Adult Hematology Clinic sees approximately 519 patients per month, while theLymphoma Clinic sees approximately 35 patients per month.

Due to the data collection duration, data was not collected for Dr. Gribbin or Dr. Petruzzeli.Sufficient data regarding return patients was collected for Dr. Schmaier, Dr. Gitlin, Dr.McDonagh, Dr. Hiss, and the nursing team, but no new patient information was captured.Therefore, new patient data is only stratified for Dr. Kaminski, Dr. Bockenstedt, Dr. Adams, Dr.Erba, and Dr. Payne.

Room UtilizationExam room utilization of the allocated rooms for Team 1 averages to be 151.7%, with thecorresponding average value-added room utilization being 42.1%. The exam room utilization ofthe used rooms averages to be 118.3%, with a corresponding average value-added room utilizationof 37.5%. This utilization takes into account the number of rooms each doctor uses per session, aswell as the session duration (which may be different than the scheduled session length). RoomUtilizations are above 100% for several reasons:

(1) Team 1 is using more rooms than it is allocated(2) The sessions are lasting longer than their scheduled duration(3) Patients did not fill out room numbers, making it impossible to accurately know how

many rooms are being used by each doctor.

The best patient experience occurs when the room utilization and value-added room utilization arethe same, indicating that the patient does not have any wait time in the exam room. The CCC goalis to have 60% utilization for both exam room and value-added exam room utilization. Currently,there are no doctors on Team 1 who have both a room utilization and value-added room utilizationclose to 60%. (Table 1.1)

Reducing the amount of time a patient waits in an exam room can increase room utilization andvalue-added room ulilization. In particular, for Team 1, it is recommended that the number ofrooms allocated to each doctor be examined for possible improvements and that doctors examinetheir practice to possibly reduce the length of time each patient is in the exam room.

Visit & Timeline StatisticsA sample of 230 patients was collected for Team 1 over the 2-week data collection period. Earlyand on-time arrivals account for 80% of patients, as seen in Table 1.2. Early patients arrived 25minutes ahead of schedule, while late patients averaged 14 minutes behind schedule as in Figure1.3. Patients can expect their total visit time to be 1 hour 40 minutes. New patients can expect tobe in the clinic a slightly longer amount of time, at 1 hour 52 minutes. During this visit, patientssee a staff physician for 32 minutes and are in the exam room an average of 1 hour 12 minutes.New patients spend a significantly longer time with the staff physician than return visits do, withnew patients averaging 41 minutes and return visits with 12 minutes per visit. The provider andphysician times are fairly consistent throughout the team, with a standard deviation of 8 and 13minutes, respectively.

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Team 1 is just off target for time spent between check-in and vitals. The CCC goal is 15 minutes.with Team 1 averaging 22 minutes. The standard deviation is quite high, at 27 minutes, indicatingthat there is little consistency between how long each patient waits. Check-in duration wasassumed to be 1 minute for all patients and check-out duration averaged 5 minutes as can be seenin Table 1.6.

Physician StratificationTable 1.5 reveals the variation in physician time:

• Doctors Kaminski, Bockenstedt, Payne, McDonagh, and Hiss spend approximately thesame amount of time with Return Visits, at an average of 25 minutes per patient.

• Doctors Adams and Erba spend approximately 11 minutes with Return Visit patients.Doctors Schmaier and Gitlin spend an average of 45 minutes with a Return Visit patient.

This data indicates that there is no standard practice for Team 1 governing how long thephysicians should spend with their patients. The table also shows that the physicians spendsignificantly less time with the New Patients than with Return Visits.

Value-added time is any time a patient is being seen by a provider or team member. Team 1averages 39% value-added time overall, with 50% for new patients and 37% for return visits, asseen in Table 1.6. Dr. Kaminski has the best value-added time at 70.65%, just above the 60%goal. Figure 1.7 and Table 1.4 show that Dr. Adams and Dr. Schmaier have over 60% value-added time with Return Visits. The figure also shows that the value-added time is fairly consistentfor all of the physicians, but that non-value-added time varies significantly.

Session DurationLooking at Table 1.8, actual session duration is greater than the scheduled duration, on average.For some physicians the abnormally high duration is due to the fact that patients are scheduledduring lunch (12 p.m. to 1 p.m.). Also, physicians are spending quite a bit longer with theirpatients than their schedule allocates. Overlapping the sessions increases exam room utilization,and can cause utilization greater than 100%.

First Patient SummaryExamining the first patient of each session per doctor, per day shows that Team 1 physicians, onaverage, see patients.22 minutes after their scheduled appointment time. Patients, on the otherhand, arrive at the clinic an average of 21 minutes before their scheduled appointment time. It isoften the case that a patient scheduled in the afternoon session is placed into an exam room duringthe morning session. This can cause a disruption in the patient flow through the clinic, and causepatients who have arrived on time for their appointments to wait. See Table 1.9, Team I FirstPatient Summary.

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TEAM 1— Adult Hematology/Cutaneous Lymphoma and MultidisciplinaryLymphoma Clinic

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Cu,:’ut SituationTeam 4 is headed by team coordinator Robin Napieraiski. It is divided into two specialties, BoneMarrow Transplant (BMT) and Pediatric Oncology (PHO). Patients in the BMT Clinic attendappointments every other day. The physician is determined the day of the appointment for thesepatients depending on patient arrival and physician availability. The following doctors areavailable in the BMT Clinic: Adams, Ayash, Hutchinson, Ratanatharathorn, Silver, Uberti, andYanik. The BMT Clinic sees 541 patients in a month. On the otherhand, PHO sees 398 patients amonth. Both units operate 4 days a week but schedule appointments on Wednesday if necessary.A patient maintains the same physician from appointment to appointment. The following doctorssee patients in the PHO speciality: Boxer, Castle, Hanash, Hutchinson, Levine, Pipe, Robertson,Weschler. and Yanik. The flowchart on page 9 outlines the current patient flow for both BMT andPHO.

Teani 4 AnalysisA high number of patients were willing to fill out the data collection forms, however most of thesepatients were returning patients. In addition, there was a lack of collection in the BMT clinic.This was due to the fact that patients returned every other day to the clinic and did not want to fillout the information again. This would be helpful to the study to see how times change over thedays of the week with the same type of patients. A further study could be done to collect newpatient information and more BMT clinic patients.

Room UtilizationFor Team 4 the room utilization was around 28% on average. This is due to the fact that Team 1and Team 4 share rooms. The average room utilization for Team 1 will show that they are usingrooms that are allocated to Team 4. For the “value added” room utilization, Team 4 has anaverage of 94%. This means that the time the patient spends in the room is mostly spent with aprovider. This is one of our goals: thus Team 4 can be used as a benchmark for the “value added”portion of room utilization. BMT had an overall average of 23% room utilization and 92% “valueadded” room utilization. PHO had an overall average of 30% room utilization and 96% “valueadded” room utilization. This information is shown in Table 4.1. Note that PHO does not runtheir clinic on Wednesdays. To improve upon these numbers Team 4 should give up some of theirrooms to Team 1. This will increase their room utilization and maintain their “value added” roomutilization.

Visit StatisticsThere were 304 usable data collection forms in Team 4. Sixty five percent of the patients wereearly or on time, leaving 35% of the patients late (Table 4.2). When patients arrived early theyarrived an average of 41 minutes early. When patients arrived late, they were late by 3 1 minutes,on average (Figure 4.3). For the entire team the patient spends 1 hour and 2 minutes with aprovider, 44 of those minutes are spent with a physician. For new patients, as would be expected,the patient spends a longer time with providers. New patients spend 1 hour and 46 minutes with aprovider and 1 hour and 24 minutes with the physician. Return patients spend fifty-nine minuteswith providers and forty-one minutes with the physician. The Table showing the time of thesession duration is found in Table 4.4.

Physician StraqficationPhysician information is shown in Tables 4.5, 4.6 and 4.7. Since there are so many doctors it ishard to make a generalization across the board. Overall, doctors are arriving late to the examroom by 48minutes, and are spending more time than allocated with their patients. The scheduleshould be changed to allow for more “value added” time between the patient and their physician.

27

Session DurationIn Team 4, 57% of the time a patient spends at the clinic is “value added’ time. The average timespent in the clinic is 1 hour and 36 minutes. This grows significantly when viewing new patienttimes, an average of 2 hours and 23 minutes. Return patients are close to the overall averagespending 1 hour and 33 minutes in the clinic. The average time spent in the room is 1 hour and 9minutes. New patients spend an average of 1 hour and 44 minutes, while return patients spend57minutes in the exam room. The large amount of blood draws and infusions that could havetaken place in other areas may explain longer times in the exam room. To reduce the overallsession duration the goal would be to increase the “value added” time and decrease the wait times.

First Patient SummaryThe first patient that arrives to the clinic is more likely to be early. The doctors are likely to belate for this visit. This discrepancy is due to the miscommunication of what the appointment timereally means. Improving this communication will dramatically change the arrival times of boththe patient and the doctor to the first scheduled visit.

Team 4— Adult & Pediatric BMT and Pediatric Hematology/Oncology

**Patjeflt sees appropriateprovider depending onspecialty.**

**BMT- Physician, Nurse

Practitioner, Psychiatrist, orSocial WorkerPHO — Physician, Fellow,Nurse Practitioner, or SocialWorker. or Fellow.**

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Team 6 Findings

Current SituationTeam 6 is comprised of three clinics: Gynecologic Oncology, Multidisciplinary Melanoma andGenetics. The Gynecologic Oncology Clinic (Gyn/Onc) is held every day but Tuesday, and issupported by the following faculty: Dr. Baker, Dr. Johnston, Dr. Lieberman, Dr. Opipari, and Dr.Reynolds. The Multidisciplinary Melanoma Clinic takes place on Tuesday and Wednesdayafternoons, and is supported by Dr. Bowen and Dr. Wang. Genetics was not included in this studydue to the extreme low volume of patients (approximately five per week). Team 6, overall,averages 580 patient visits per month, of which 313 are GynlOnc patients and 262 are Melanomapatients.

Team 6 AnalysisDue to low patient volume, new patient data could not be stratified by physician for Team 6.Therefore, only return visits are broken up by doctor. Sufficient data was obtained for Dr. Baker,Dr. Bowen, Dr. Johnston and Dr. Reynolds. No analysis could be performed on patients seeingDr. Wang, Dr. Lieberman or attending the new patient Melanoma Clinic because of low patientparticipation and incomplete information.

Room UtilizationExam room utilization for Team 6 averages to be 45.1%, with value-added room utilization being35.5%. The best patient experience is when these two percentages are the same, because then thepatient does not have any wait time in the exam room. The CCC goal is to have 60% utilizationfor both exam room and value-added exam room utilization. Currently, Dr. Bowen meets thisgoal during the Wednesday morning session with 80% utilization and 60% value-added roomutilization. In general, all physicians are relatively consistent between their morning andafternoon sessions. (Table 6.1)

Reducing the amount of time a patient waits in an exam room can increase room utilization andvalue-added room utilization. In particular, for Team 6, room utilization would also be increasedby not allocating exam rooms when physicians have no scheduled patients.

Visit StatisticsA sample of 110 patients was collected for Team 6 over the 2-week data collection period. Earlyand on-time arrivals account for 76% of patients, as seen in Table 6.2. Early patients arrived 17minutes ahead of schule, while late patients averaged 11 minutes behind schedule as in Figure6.3. Patients can expect their total visit time to be 1 hour 3 minutes. New patients can expect tobe in the clinic a slightly longer amount of time, at 1 hour 23 minutes. During this visit, patientssee a staff physician for 18 minutes and are in the exam room an average of 44 minutes.

Team 6 is on target for time spent between check-in and vitals. The CCC goal is 15 minutes, withTeam 6 averaging 14 minutes. Check-in duration was assumed to be 1 minute for all patients andcheck-out duration averaged 5 minutes as can be seen in Table 6.4.

Physician StratificationTable 6.5 reveals Doctors Baker, Bowen and Johnston to be operating relatively the same whenexamining provider time, time in exam room, wait time and clinic visit duration. Dr. V. Bakerspends slightly more time with patients than do the other two doctors. Dr. Reynolds’ patients havethe longest average visit duration at 1 hour 20 minutes. Of this time, they spend 1 hour in theexam room, and 31 minutes being seen by a provider.

Value-added time is any time a patient is being seen by a provider. Team 6 averages 41 % value-added time overall, with 25% for new patients and 56% for return visits, as seen in Table 6.6. Dr.Johnston has the best value-added time at 58.33%. just below the 60% goal. Figure 6.7 and Table6.4 shows Dr. Baker and Dr. Bowen to have very similar value and non-value added times. Dr.Reynolds has significantly more non-value-added time than the other physicians.

Session DurationLooking at Table 6.8, actual session duration is less than the scheduled duration, on average. Forsome physicians the abnormally low duration is due to the fact that patients are not scheduledduring the entire session. Because the exam room is allotted for the entire session, when thephysician only uses it for a portion of that session, exam room utilization tends to be low.

First Patient SummaryExamining the first patient of each session per doctor, per day shows that Team 6 physicians, onaverage, see patients 6 minutes after their scheduled appointment time with a standard deviation of15 minutes. See Table 6.9, Team 6 First Patient Summary.

4

TEAM 6— Gynecologic Oncology and Multidisciplinary Melanoma Clinic

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481

APPENDIX A

GANTT CHART

Janu

ah,

1999

M1

TW

TF

.

11

&I.

.4.

.51

7

1112

..

13

.14

15P

roje

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trod

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on,

20h

18:

....i:

..

..

..

.:....

20H.

2122

Coo

rd

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A

Tou

r,4h

25,

2627

f28

29Fl

owA

naly

sis

Pro

ject

,20

h

,P

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sal

draf

ting,

1w

Coo

rdin

ator

,8h

Presen

tation

Febru

aj

1999

Rep

ort

Gu

id

elin

es

22.

231

•24

25

12€

Status

Report

D

Fin

aliz

eD

ata

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et,

1w

MT

TF

lj

:21.

4!

5

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12

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APPENDIX B

DATA COLLECTION SHEET

University of Michigan Comprehensive Cancer Center Data Collection Form

Visit Info Patient Type Patient Stamp

Date: ID New Patient ID Add-On

Dialty: IEJ Routine RVI:J Other

Physician:Visit Note

Appt. Time:______________

Check InTime:

Directions:

We are working to reduce wait times in the Cancer Center. We need your help to do this. Please record the time that each activitybegins and ends. This is for the clinic visit portion only; it does not include Infusion or Blood Draw. Also, check the provider ofeach service. Please give the sheet to the clerk at Check Out. This information will help us improve our processes to betterserve you. Thank you.

Feel free to ask your Check-In or Check-Out clerks any questions regarding this form.

During visit did you leave clinic for?:(between check in and check Out times)

Check Out Time:

Medical Assistant

Provider Activity Location Start Time End Time

Vitals Vitals Station

Notes

Time placed into Exam Room:

iu aie not sure of the provider type, just indicate the total number of providers that you saw today.El Staff Physician fl History/Physical/ExamEl ResidentlFelIow # ofEl Nurse Practitioner Providers: El Teaching! Consult Room #El Physician’s AssistantEl Nurse El Procedure:El Other:

El Staff Physician [] History/Physical/ExamEl Resident/Fellow # of

El Nurse Practitioner Providers: El Teaching! Consult Room #El Physician’s Assistant

El Nurse —- El Procedure:El Other:

El Staff Physician El History/Physical/ExamEl Resident/Fellow # of

El Nurse Practitioner Providers: El Teaching! Consult Room #El Physician’s Assistant

El Nurse El Procedure:El Other:

e out of Exam Room:

Q Lab Q X-Ray

Comments:

Q Other

BIBLIOGRAPHY

Bibliography

Bermudez, Cristina; Horvath, Katherine. Pinsky, Julie; & Roseinan, Seth; “PediatricHematology/Oncology Clinic”, TOE 481 Project, April 13, 1995.

Garrett, W. Patrick; Jones, Robert; & Rudin, Christopher; “Hematology/Oncology,Clinic Patient FlowAnalysis”, TOE 481 Project, Jan. 17, 1995.

Gory!, Susan; & Somershoe, Lauren; “Northville Health Center, Clinic Operations Analysis”, IOE 481Project, Dec. 9, 1996.

Israel, Taryn; Ross, Dawn; & Tawil, Andrea; “University Of Michigan Medical Center Pediatric PrimaryCare Clinic, Study of Patient Service and Wait Times”, TOE 481 Project, April 1996.

Lee, Bernard; Lum, Andrew; & Ng Lyman; “Check-In Analysis, Northville Health Center, University OfMichigan Health System”, JOE 481 Project, Dec. 5, 1997.