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IOE 481 21F3:  Bone Marrow Biopsy Scheduling IOE 481 21F3:  Bone Marrow Biopsy Scheduling

IOE 481 21F3: Bone Marrow Biopsy Scheduling - PowerPoint Presentation

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IOE 481 21F3: Bone Marrow Biopsy Scheduling - PPT Presentation

Emma Cho Juan De La Torre and Wilson MacRitchie Industrial amp Operations Engineering December 10 th 2021 The Team Emma Cho Juan De La Torre Wilson MacRitchie Industrial amp Operations Engineering ID: 912652

lab procedures procedure amp procedures lab amp procedure analysis excel scheduling hematology data clinic clinics tool schedule time outlook

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Slide1

IOE 481 21F3:

Bone Marrow Biopsy Scheduling

Emma Cho, Juan De La Torre, and Wilson MacRitchie

Industrial & Operations Engineering

December 10

th

, 2021

Slide2

The Team

Emma Cho

Juan De La Torre

Wilson MacRitchie

Industrial & Operations Engineering

Class of 2022

Industrial & Operations Engineering

Class of 2022

Industrial & Operations Engineering

Class of 2022

2

Insert Headshot

Slide3

Clients & Coordinators

Jonathan Lee,

Continuous Improvement Specialist at Michigan Medicine

Kevin Noble,

Continuous Improvement Coach at Michigan Medicine

Mary Duck,

Senior Administrative Manager, Continuous Improvement

David Hyatt,

Intermittent Lecturer, Industrial & Operations Engineering

Michigan Medicine: Coordinators

Michigan Medicine: Client

D

r. Dan Boyer

, Clinical Associate Professor, Department of Pathology at Michigan Medicine

Emily Schwedler

, Administrative Manager, Department of Pathology at Michigan Medicine

3

Slide4

Agenda

Wilson MacRitchie

Project Background

1

Data Analysis/Findings

2

Deliverables

3

Recommendations

5

Alternatives Considered

4

Next Steps

6

4

Slide5

Data Analysis & Findings

Deliverables

Alternatives Considered

RecommendationsNext Steps

Project Background

1. Project Background

Slide6

Relevant Parties

Adult Myeloma Clinic

Adult Bone Marrow Transplant

Pediatric Leukemia Group

There are three main clinics (“The Clinics”) at Michigan Medicine which schedule bone marrow biopsies with The Lab

Hematopathology Lab

Bone Marrow Biopsies

6

Slide7

Illustrative Process Flow Chart

Results Sent to Clinic

Results of Hematopathology Lab work returned to Clinic

The Clinics have an independent internal scheduling process, which The Lab is not a part of. This leads to avoidable difficulties for The Lab when managing unpredictable demand.

Clinic Requires a Biopsy

Adult Myeloma Clinic

Adult Bone Marrow Transplant

Pediatric Leukemia Group

Procedure Components Ordered in MiChart

Procedure Occurs

In location scheduled by the individual clinic 

The Lab Tests Sample

Bone Marrow samples brought to Hematopathology Lab for testing

Clinic Calls The Lab

To inform them when & where procedure is taking place

Typically, a day in advance

Clinic Schedules OR for Procedure

Internal process varies by clinic

Pediatric: Occur in C.S. Motts

Adult: Use OR scheduling system

The Lab plans for Biopsy

Lab organizes resources, staffing, and scheduling for procedure

Box indicates areas the 481 team has identified for the most improvement

7

Sample Transported

Sample transported to NCRC on Bus 

1

2

3

6

5

4

7

8

9

Clinic internally schedules a procedure

Slide8

Process Swim Lane Diagram

8

Patient

Clinics

Lab Tech

NCRC

Determined that a patient requires a Bone Marrow Biopsy

Determined that a patient requires a Bone Marrow Biopsy

Clinic schedules an appointment which works for the patient & Clinic Proceduralists

Clinic internally records/schedules procedure in MiChart

Lab Tech’s have access to new procedures in MiChart

Once the Lab Tech’s see the new procedure, they will record it in their internal excel tracker

Patient is at hospital. BMBX may not be the only procedure they are scheduled for

Patient is Prepped for procedure

Call Lab Tech’s to inform them that the patient is ready for BMBX

Available Lab Tech brings supplies to Procedure Room

Procedure Occurs

Procedure Occurs

Procedure Occurs

Sample returned to Lab & Processed to be sent to NCRC

Sample delivered to NCRC transportation bin

Sample driven to NCRC

NCRC receives sample and begins necessary testing

Prior to Procedure

Procedure

Following Procedure

Note:

For Pediatric Clinics, the highlighted steps do not occur

Slide9

Project Background

9

Standardize and improve the lead time 

Increase procedures performed before 12pm each day

Procedures will be spread out uniformly throughout the week 

Desired Impact

Optimize the lab’s bone marrow biopsy scheduling

Develop a system to facilitate communication between the parties

Improve bone marrow biopsy turnaround and lead times

Goals

Lack of coordination between the relevant parties when scheduling 

Inconsistent lead times for results

Staffing constraints created by biopsy procedure clustering

Current Issues

Slide10

Strategic Plan Development

10

Finalize Project

Brainstorm & Solution Development

Analyzed System

Defining Issues & Fact Finding

Planning approach and developing project proposal

Interviews with Client and hospital staff

In-person observation

Data Analysis of Hospital Records

Literature Search

Discussing Scheduling Tool Improvements

Team meetings to develop solution ideas

Discussing potential solutions with clients

Conduct further research and interviews regarding potential solutions

Finalized Deliverables

Finalized recommendations & planning implementations

Developed Final Report & Presentation& Recommendations

September – October

October

November

November – December

Slide11

Data Analysis & Findings

Deliverables

Alternatives Considered

RecommendationsNext Steps

Project Background

2. Data Analysis & Findings

Slide12

Data Collection Methods

12

Interviews with Supervisors

Hospital Records

In-Person Hospital Observation

VBA Scheduling Sheets

Clinic Survey

Literature Search

Slide13

Survey Results Analysis

13

Notes: n=9 respondents

Slide14

Survey Results Analysis

14

Notes: n=9 respondents

Slide15

Survey Results Analysis

15

Notes: n=9 respondents

Slide16

Survey Results Analysis

16

Notes: n=9 respondents

Slide17

Survey Results Analysis

17

Notes: n=9 respondents

Slide18

Data Analysis

Results

Distribution of Procedures Throughout the Week

Distribution of Procedures Throughout the Day

Distribution of Procedures by Clinic

Historical Procedure Duration

Historical Procedure Deviation from Schedule Time

18

Slide19

Data Analysis Findings

19

The majority of the historical procedures analyzed were part of the Adult Hematology/Oncology Group however there were still statistically enough procedures in the remaining groups to draw accurate conclusions.

Notes: n=1,464 procedures; Analysis time frame: 1/4/2021 – 10/14/2021

Slide20

Data Analysis Findings

20

The end of the week has a heavier procedure volume which is not ideal as this can cause procedures to pile up, and ultimately work at the NCRC to overflow into the weekend where there is lower staffing.

Notes: n=1,782 procedures; Analysis time frame: 1/4/2021 – 10/14/2021

Slide21

Data Analysis Findings

21

54.9% of procedures have occurred before 12PM, leaving a significant number of procedures in the afternoon. The ideal distribution would be for almost all procedures to occur before 12PM (~25% each hour between 8 AM and 12PM).

Notes: n=1,450 procedures; Analysis time frame: 1/4/2021 – 10/14/2021

Slide22

Data Analysis Findings

22

Adult BMT has the lowest percentage of procedures after 1PM (9.5%) and the two In Patient Clinics, In Patient Hematology/Oncology (71.6%) and Adult In Patient Hematology/Oncology (61.1%), have the highest percentage of procedures after 1PM.

Notes: n=1,450 procedures; Analysis time frame: 1/4/2021 – 10/14/2021

Slide23

Data Analysis Findings

23

61.1% of procedures are between 50-80 minutes. This is a critical statistic for designing a solution to determine how much time to block off for a given procedure on the schedule.

Notes: n=1,435 procedures; Analysis time frame: 1/4/2021 – 10/14/2021

Slide24

Data Analysis Findings

24

Although the majority of procedures occur within a 15-minute window of their originally scheduled time, there are significant outliers which cause disruptions in the daily schedule (best mitigated by a resilient and spaced-out schedule).

Notes: n=1,411 procedures; Analysis time frame: 1/4/2021 – 10/14/2021

Slide25

Data Analysis & Findings

Deliverables

Alternatives Considered

RecommendationsNext Steps

Project Background

3. Deliverables

Slide26

Deliverables

26

Microsoft Outlook Solution Demo

Improved Microsoft Excel Scheduling Workbook

Historical Data Analysis & Visualization

Overview of Current Scheduling System

Slide27

Excel Tool – Data Log

27

The Team preserved the current attributes used by the Hematology Lab as well as added the ‘Expected Duration’, ‘Additional Notes’ and ‘Procedure Cancelled’ features for the Data Log.

Slide28

Excel Tool – Procedure Additions, Modifications & Cancellations

28

The team created two versions of the document, one with VBA and one without for the client to select based on preferences/desire to use VBA. The main difference is the inclusion of Userforms to Add/Edit/Cancel Procedures versus manually editing or appending entries for schedule changes.

Slide29

Excel Tool – Calendar Output View

29

All the upcoming procedures are consolidated and summarized (through backend calculations) into a calendar output view for easy synthesis.

Promote scheduling new procedures before 12 PM

Slide30

Excel Tool – NCRC Expected Sample Arrivals

30

The tool can forecast expected sample arrival times at the NCRC to assist with workflow and planning, as well as summarize a single day of procedures & relevant accompanying data.

Slide31

Excel Tool – Brief ‘Under the Hood’ Explanation

31

There is a significant amount of work done ‘under the hood’ to drive the simple calendar view output.

Every procedure is assigned a unique Date Key based on its scheduled date and procedure time in the day (early to late)

There are seven ‘Date Mapping’ (Data_Log – Date_<#>) tabs to pulling the first 100 procedures on a given date (historically less than 20 per day), used to create full week in the calendar output

There are seven “Daily Mapping’ (Mapping_<#>) tabs used to generate the calendar output view for each day

In each ‘Daily Mapping’ Tab, the procedures need to be assigned a starting time & ending time based on either their scheduled time, or when the procedure began, and the expected duration (ignore cancelled procedures)

All times need to be assigned to the nearest 15 minutes to allow for equality & mapping to the output calendar

Simply stated:

There are 10 procedure slots at a given time of day (three Lab Techs and seven Overbookings)

If a lab tech is available at any point in the day, they should look for a procedure starting at that time of day to assign themselves too

Tie breaker in case there are multiple lab techs available to select a certain procedure

Tie breaker to select a procedure if multiple procedures start at the same time

If a Worker (Lab Tech or Overbooked) picked up a procedure, they are busy until the procedure is completed

Once the procedure completes the Worker is immediately freed and able to pickup more procedures

Rather than replicating each tab multiple times – get it right with one tab

Use a simple naming convention for each tab

Make a copy of the tab (don’t change a singly thing other than reference date)

Use ‘Replace All’ to change correct formulas to reference new tabs

Hide all tabs with driving calculations – simplify it down to a small amount of input assumptions

Slide32

Outlook for Michigan Medicine

Individual calendars for each department, lab tech, provider

Overlay calendars to see availability across the board

Request and schedule procedures based off availability -> better distribution of procedure volume

Simple interface

Easy sharing between teams

Instant communication

Automatic updates after editing

No editing interference

32

Slide33

Illustrative Weekly Schedule

33

Slide34

Overlay Mode

View multiple calendars at once

Overlay to see availability across different calendars

34

Slide35

Data Analysis & Findings

Deliverables

Alternatives Considered

RecommendationsNext Steps

Project Background

4. Alternatives Considered

Slide36

Potential Solutions Considered

36

Excel Tool with VBA

Excel Tool w/o VBA

Microsoft Outlook

Excel & Outlook in Tandem

MiChart System Upgrades

Team developed Excel Scheduling Tool with VBA functionality included

Team developed Excel Scheduling Tool

Manage BMBX scheduling through outlook by creating a central hematology lab schedule shared with all clinic schedulers. Proceduralist schedules can be overlayed with Hem Lab as well

Combination of Excel Tool and Outlook scheduling system to capture features of both solutions

Work with MiChart development team to request system upgrades to include desired scheduling features

Slide37

Analysis - Excel Tool with VBA

37

Utilization & Implementation

Master document ‘owned’ by the Hematology Lab but shared with clinic schedulers

Used to Add/Edit/Cancel procedures

Consulted when adding or changing dates/times of procedures

Benefits

Creates visibility into the Hematology Lab’s schedules for clinics

Generates master list of all procedures

Data friendly for future analysis

Limited backend VBA Code

Supports proper data entry to facilitate schedule visualization

Schedule Visualization feature to assist with planning for new procedures

Excel allows for future customization & addition of more live analysis / tracking tools

Can add instructions / visual features to incentivize scheduling procedures in the morning

Limitations

Less user friendly than Microsoft Outlook

Need to toggle between tabs to visualize

Difficulty in portraying all relevant procedure information on the schedule visualization

Does not directly promote communication between Hematology Lab & Clinics

Presence of VBA and Excel calculations has a potential risk of future maintenance needs

Summary:

Helpful tool to manage and schedule upcoming procedures. Will require scheduler training and buy in to transition to this system. Does not directly promote communication between labs and Clinics.

Score:

2.1

Slide38

Analysis - Excel Tool w/o VBA

38

Utilization & Implementation

Master document ‘owned’ by the Hematology Lab but shared with clinic schedulers

Used to Add/Edit/Cancel procedures

Consulted when adding or changing dates/times of procedures

Benefits

Creates visibility into the Hematology Lab’s schedules for clinics

Generates master list of all procedures

Data friendly for future analysis

Limited backend VBA Code

Supports proper data entry to facilitate schedule visualization

Schedule Visualization feature to assist with planning for new procedures

Excel allows for future customization & addition of more live analysis / tracking tools

Can add instructions / visual features to incentivize scheduling procedures in the morning

Limitations

Less user friendly than Microsoft Outlook

Need to toggle between tabs to visualize

Difficulty in portraying all relevant procedure information on the schedule visualization

Does not directly promote communication between Hematology Lab & Clinics

Presence of VBA and Excel calculations has a potential risk of future maintenance needs

Summary:

Helpful tool to manage and schedule upcoming procedures. Will require additional scheduler training and buy in to transition to this system. Does not directly promote communication between labs and Clinics.

Score:

2.1

Slide39

Analysis – Microsoft Outlook

39

Utilization & Implementation

Central Outlook account for the Hematology Lab BMBX procedures shared with all Clinic Schedulers

To Add/Edit/Cancel procedures, schedulers will send a request to the Lab Calendar for the new procedure

Clinic Schedulers can overlay various calendars to find open availabilities when scheduling new procedures

Benefits

Creates visibility into the Hematology Lab’s schedules for clinics

Leverages Outlook’s built-in, user-friendly calendar management features

Enables communication as Lab will see who is scheduling which procedures (establishes a point of contact)

Lab has increased input on procedures with the ability to Accept/Cancel procedures (call point of contact to resolve issues)

Limitations

Limited ability to track historical procedures to capture data

Proceduralist schedules need to be maintained on Outlook for the most convenient schedule comparison (overlay), otherwise schedulers will need to cross-reference multiple schedules

Difficult to incentivize schedulers to schedule new procedures in the morning / the optimal times for the Hematology Lab’s workflow

Summary:

Very effective at managing the schedule & facilitating communication between Clinics & Hematology Lab but requires updated Proceduralist schedules. Difficult to log & track historical procedure data.

Score:

3.2

Slide40

Analysis – Excel Tool & Outlook

40

Utilization & Implementation

Master Excel document ‘owned’ by the hematology lab to be used for internal procedure tracking

Outlook calendar shared between clinics to be used for calendar additions and to enable communication channels

Benefits

Visibility into the Hematology Lab’s schedules for clinics

Master list of all procedures

Data friendly for future analysis

Excel allows for future customization & addition of live analysis/tracking

Leverages Outlook’s built-in, user-friendly calendar management features

Enables communication as Lab will see who is scheduling which procedures (establishes a point of contact)

Lab has increased input on procedures with the ability to Accept/Cancel procedures (call point of contact to resolve issues)

Limitations

Proceduralist schedules need to be maintained on Outlook for the most convenient schedule comparison (overlay), otherwise schedulers will need to cross-reference multiple schedules

Presence of VBA and Excel calculations has a potential risk of future maintenance needs

Summary:

Commination of Excel Tool & Outlook Solution which leverages strengths of each system. If system is followed correctly the team believes this will be a very effective solution at addressing design objectives.

Score:

3.6

Slide41

Analysis – MiChart Upgrades

41

Utilization & Implementation

All clinics would use MiChart to schedule and manage upcoming procedures

Hematology Lab could work with the MiChart development team to request desired features be implemented into MiChart

Each Clinics could see all procedures from all Clinics when adding/editing procedures, and hematology lab would have all procedures complied into one place

Benefits

Creates visibility into the Hematology Lab’s schedules for clinics

Generates master list of all procedures

MiChart development team may be able to show recommended procedures, which focuses on optimizing the schedule based on project design goals and proceduralist availabilities

Limitations

MiChart team has significant queue of other requests for system upgrades

Implementation delay and uncertainty for the quality of interface the development team would create

Would not facilitate more communication between the Clinics & the Hematology Lab

Summary:

Potential to address the design objectives, however there is significant uncertainty to the timing for upgrades and ability of a new system that would be implemented to address design objectives.

Score:

2.2

Slide42

Pugh Decision Matrix

42

Biopsy Scheduling Procedure 

Alternatives 

Criteria 

Weighting 

Current State

Excel Scheduling Tool w/VBA

Excel Scheduling Tool w/o VBA 

Microsoft Outlook 

Excel Tool & Outlook 

MiChart System Upgrades

(1) The Lab's Usability & Convenience

20%

1.0

4.0

4.0

3.0

5.0

3.0

(2) Ability to Display the Lab's Scheduling Preferences

30%

1.0

2.0

2.0

3.0

3.0

3.0

(3) Level of Communication Facilitated

30%

1.0

2.0

2.0

5.0

5.0

1.0

(4) Ease of Clinic Adaptation

20%

1.0

0.5

0.5

1.0

1.0

2.0

Totals

100%

1.0

2.1

2.1

3.2

3.6

2.2

(1) Lab’s Usability & Convenience

User friendly solution

No duplicative work

Ability to convey/visualize upcoming procedures

(2) Display Lab’s Scheduling Preferences

Incentivize procedures in morning

Limit procedure clustering

Spread procedures throughout day & week

(3) Facilitate Communication

Built in conflict resolution

Establish scheduling point of contacts

Display to each clinic the Lab’s commitments across all clinics

(4) Ease of Clinic Adaptation

Minimize disruption to clinic’s current process

Limit duplicative work

Solution which benefits Clinics as well as Lab

Based on the evaluation criteria the team decided upon below, the team concludes that the Excel Tool & Outlook used in Tandem will best accomplish the project design objectives

Criteria Explanations

Slide43

Consideration of Impact & Effort

43

Represents best performing solution (recommended solution)

Taking the level of effort to implement each design solution into account, the combination of the Excel Tool & Outlook is again the best solution for the design objectives.

Slide44

Data Analysis & Findings

Deliverables

Alternatives Considered

RecommendationsNext Steps

Project Background

5. Recommendations

Slide45

Recommended Solution

45

Displays upcoming biopsy procedures for Clinics to consult when scheduling new procedures

Overlay multiple schedules so availability can be compared across multiple parties

Leverages Outlooks calendar management features & stablishes points of contact for communication channels

The Team recommends a system using a combination of the Excel Scheduling Tool for internal procedure tracking and Microsoft Outlook for external calendar management and scheduling with the clinics.

Excel Scheduling & Tracking Tool

Outlook – Master Shared Calendar

Hematology

Lab ‘owned’ document used to track and analyze upcoming procedures

Maintains master log of historical procedures and key data

SharePoint file sharing enables live collaboration between multiple users

Slide46

Process Flow of New System

46

Clinic Requires BMBX

Schedules Procedure through Outlook

Selects schedules for proper proceduralist(s) for the procedure, and the compiled Hematology Lab BMBX schedule

If the procedure needs to be on a certain day, the scheduler will find the earliest time which works for the Patient, Proceduralist & Hematology Lab

If the procedure can occur in a small window of days, scheduler selects earliest time in window which works for Patient, Proceduralist & Hematology Lab

Hematology Lab Receives Invite for new Procedure

Likely, almost all the time the requested invite will work for The Hematology Lab, if there is a conflict the Lab knows who exactly scheduled the procedure and can reach out ASAP to gauge the flexibility

Lab Accepts Calendar Invite & Logs in Excel

Procedure Changes Time/Date or is Cancelled

Procedure Occurs – Clinic Contacts Hematology Lab

Hematology Lab inputs the procedure information for the newly schedule appointment into the Excel Scheduling Tool for internal tracking

Clinic can simply adjust the original calendar appointment with the new data or time, or delete the appointment

When adjusting time/date, the Clinic again has access to the full availabilities of the Proceduralist & Lab

Hematology Lab will receive an instant update on the change (and again has a point of contact if there is a conflict)

With Outlook utilized, the Lab has a much more accurate sense of when the procedure will occur as there is less friction at the Clinics for adjusting the Outlook appointment with time updates (reduces amount of phone calls with status updates)

Clinic will call Lab Techs to inform them of the procedure starting (conscious of when the Lab Techs have other procedures to attend to)

Lab Tech Records New Post Procedure info in Excel

After the procedure occurs, the Lab Tech records the same info as they currently do into the Excel Document

The NCRC and anyone else who wants to view the document has live access to any updates in the document

Updates on Peripheral Blood

NCRC has live access to any status updates on certain patient peripheral blood tests if needed

2

3

6

5

4

1

7

8

Slide47

Combined Solution Expected Impact

47

Design Requirements:

Reduce level of procedure clustering

Spread out the distribution of procedures throughout the week

Maximize the number of procedures before noon

Minimize the turnaround time between completion & returning laboratory results

Solution Improvement

Impact on Design Requirements

I. Clustering

II. Distribution

III. Before Noon

IV. Turnaround Time

Communication Facilitated between Lab & Clinics

Conflict resolution

Lab has point of contact

Ability to express preferences

--

Clinic Visibility into the Lab’s Schedule

Improved original scheduling times

Improved original scheduling times

Select best dates where possible

--

Standardized Scheduling Process Across Clinics (no cross-referencing)

Reduced friction to modify procedures & notify Lab

--

Streamlined process, increasing visibility

Live Tracking of Future Procedures with Greater Advanced Notice

Foresight enables preparation

Foresight enables preparation

--

Improved workflow with accurate understanding of demand

Holistic Solution

Slide48

Data Analysis & Findings

Deliverables

Alternatives Considered

RecommendationsNext Steps

Project Background

6. Next Steps

Slide49

Future Work & Next Steps

49

Meetings with schedulers & decision makers at each clinic to encourage buy in for the new scheduling system

Ability to use materials / work from this project to share with Clinics

Share the importance and burden the current scheduling system has on the Hematology Lab and how the new system can alleviate these issues without disrupting the Clinics

Encourage Clinic Buy In

Solution Implementation

Implementation of the solution with each of the Clinics and internally at the Hematology Lab

Training Clinic Schedulers with the Excel & Outlook ‘How to Use’ guides created and shared by the team

Begin use of SharePoint for file sharing and collaboration as UofM switches to the new system

Slide50

User Guides

50

The team created two comprehensive ‘How to Use’ guides for both the Excel Scheduling Tool & Outlook calendar system to assist with solution implementation and scheduler training.

Outlook Calendar System Overview

Slide51

Thank You

51