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Current State Assessment of Clinic Flow and Patient Scheduling Current State Assessment of Clinic Flow and Patient Scheduling

Current State Assessment of Clinic Flow and Patient Scheduling - PowerPoint Presentation

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Uploaded On 2019-03-16

Current State Assessment of Clinic Flow and Patient Scheduling - PPT Presentation

Final Report Julia Irwin Sarah Yang John Zwick Will Marchionni Team 9 Introduction Clients Dr Melissa Pynnonen Associate Professor of Otolaryngology Ms Stephanie Renwick Administrative Manager Associat ID: 756772

patient time wait data time patient data wait scheduling 2017 clinic center call study physicians providers schedule cycle appointment

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Slide1

Current State Assessment of Clinic Flow and Patient Scheduling Final Report

Julia Irwin

|

Sarah Yang

|

John Zwick

| Will

Marchionni

Team 9Slide2

Introduction

Clients

Dr. Melissa Pynnonen

Associate Professor of OtolaryngologyMs. Stephanie Renwick Administrative Manager Associate HealthcareCoordinatorMs. Mary Duck Industrial Engineer Expert, Lean Coach, Michigan Medicine IOE 481 Liaison Performance ImprovementMs. Olivia Detroyer Industrial Engineer-IntermediateSlide3

General Patient Flow

Check in at

Front Desk

Vitals, Tests and Patient InterviewProvider ConsultationCheckout

Schedule AppointmentSlide4

Current Process Flow has Several Issues

Patient encounter cycle time is too long

Discrepancy

between scheduled and actual timeAreas of non-value added timeSlide5

Key Issues

Providers’ schedules are underutilized

Providers stated as low as 30%

Patient wait time to get a new appointment slot appears too longSome longer than 2 weeksPatient encounter cycle time is too longSome longer than 1 hourPhysicians are completing tasks that are not part of their processSlide6

Objectives and Expected Impact

Decrease p

atient encounter cycle tim

eMinimize non-value added steps in the current clinic flowDecrease patient wait time to 33% of their encounter cycle timeIncrease physicians’ utilizationIncrease efficiency of scheduling process and OTO’s care flowSlide7

Project Scope

In scope:

Scheduling process at the Call Center

OTO clinic care flowOut of scope:Otolaryngology Clinic at the Taubman CenterImplementation of recommendations Will be completed by MDP Scheduling TeamSlide8

MethodsObservations

Literature Search

MiChart Data

InterviewsTime StudiesSlide9

ObservationsBetween January 17th, 2017 and February 24th, 2017

2 hour long observations

Observed:

Clinic operations and flowInteractions between patients and clinic staffWitnessed known bottlenecksSlide10

Literature SearchAnalyzing Patient Flow and Process Waste at the Urology Clinic at the Livonia Center for Specialty Care

Value Stream Mapping, Lean Principles

Clinic Flow: Smoothing Clinic Schedule Reduces Additive Waste

Reduction of additive waste & tardinessRelative Value Units (RVUs)Indicate the value of services and resources when providing different servicesTo calculate reimbursement for providers’ services and internal productivitySlide11

MiChart Data2,468 patient records from October 1, 2016 to January 31, 2017

662 patient records from February 27, 2017 to March 24, 2017

MRN

DateTimeProviderTypeC/I TimeC/O TimeDeidentified1/31/171:15 PMDeidentifiedNP Sinus1:05 PM2:12 PMDeidentified1/27/178:45 AMDeidentifiedRV

8:28 AM

10:02 AM

Deidentified

10/2/16

11:00 AM

Deidentified

NP General

10:44 AM

11:48 AMSlide12

Calculations:Encounter Cycle Time = Check-out Time - Check-in Time

Time Early for Appointment

A maximum of 10 minutes early was considered

Compared to Time Study Sheets to fill in any missing areas MiChart DataSlide13

Scheduled Appointment Lengths - RV

RV on Average

15

RV Post op on Average15Test/Treatment30Procedure15Injection15RV Extended30Slide14

Scheduled Appointment Lengths - NP

NP

30

Preoperative H&P30NP Ears30NP Head & Neck30NP Balance Disorder45NP Ears Second Opinion30NP Pediatrics30NP Sinus30Slide15

MiChart Data

Average = 51

Average = 60

2,468 patient records from October 1, 2016 to January 31, 2017662 patient records from February 27 to March 24, 2017Slide16

MiChart Data

2,468 patient records from October 1, 2016 to January 31, 2017

662 patient records from February 27 to March 24, 2017Slide17

Interviews Administrative Manager

Provided big picture of clinic processes

Call Center staff

Provided patient scheduling processRecords ClerkShowed the process of receiving records before and during appointmentsPhysiciansIdentified communication errors, non-value added time and what led the clinic to be behind schedulePhysician AssistantsIdentified issues with the number of rooms assigned to PAs vs. Physicians in clinicSlide18

Time StudiesCollected 492 time study forms

February 27th, 2017 to March 24th, 2017

Collected the following fields:

Date and scheduled timeProviderVisit typeTime of each staff interactionScribe vs. no scribeCommentsSlide19

Stratified by:Visit typeScribe vs. no scribe

Physicians vs. physicians with PAs

Analyzed to identify:

Wait timeEncounter timeEffect of scribesEffect of PAsTime StudiesSlide20

Encounter Cycle Time BreakdownSlide21

Current State: New Patient Value Stream

Collection Dates:

Feb. 27 - Mar. 24, 2017

Source:Time Study DataSlide22

Current State: Return Visit Value Stream

Collection Dates:

Feb. 27 - Mar. 24, 2017

Source:Time Study Data Slide23

RV Encounter Cycle Time Longer than NP Encounter Cycle Time

Significant

Wait Times:

Wait RoomFor ProviderCheckoutComparison:Longer RV Cycle TimeNP Wait Less for ProvidersNP Wait longer for CheckoutN = 384, Data Collection Period: February 27 - March 24, 2017Source: Time Study DataSlide24

Scribes Do Not Decrease Consultation Time or Wait Time

Most likely due to communication between provider and scribe

Interviews: providers often spend time making sure scribes note important information

Observations: providers often spend time introducing scribes to patientsProviders spend time outside of OTO regardless of scribe useInterviews: providers spend ~10-15 hours/week without scribesInterviews: when using a scribe, providers spend ~6-7 hours per week reviewing scribe notesConsult Time Avg. (min)Total Wait Time Avg. (min)Scribe18.5 34.4No Scribe17.2 30.4Source: Time Study Data 2/27/17 - 3/24/17, N = 492Slide25

Source: Time Study Data 2/27/17 - 3/24/17, N = 492Slide26

Source: Time Study Data 2/27/17 - 3/24/17, N = 492Slide27

First Patient of the Day Waits to be Roomed, Seen, and Impacts the Rest of the Day

First patient of the day has to wait on average 17.6 minutes before seeing a provider, 24.5 minutes including time with MA

Physicians starting the day late will be behind schedule

Wait Time in Waiting RoomMA TimeWait Time in Patient RoomConsult TimeCheck- Out Time10.2 minutes6.9 minutes7.4 minutes20.5 minutes2.5 minutesSource: Time Study Data 2/27/17 - 3/24/17, N = 492Slide28

Flag System not Standard

Interviews provided the most insight into this practice

Color codes not standard

Inconsistencies in who uses the flagsMAs reported that all physicians use the flag system Most physicians reported rare use if at allPhysicians expect MAs to retrieve them when their patient is readyThis misunderstanding might cause average wait for providers to increaseSlide29

Physician’s Assistants Often Wait for PhysiciansInterviews:

PAs report that their schedules are pushed behind due to wait for Physicians

Time Study Data:

Average wait time for physicians = 5.3 minutesStandard deviation = 5.02 minutesSample size = 12Source: Time Study Data; Collection Date: 2/27/17 - 3/24/17; PAs w/ Physicians n = 12, PAs n = 43Slide30

Call Center Understaffed and Schedules Inconsistently

Interviews:

Call Center staff rarely consult scheduling guidelines given by providers

Scheduling guidelines are complicated and lengthyResult: providers are scheduled with incorrect patient typesCall Center experiences a high turnover rateSlide31

Providers’ Grids Allow for Double Booking Appointment SlotsMiChart Data:

Some providers have two or more patients scheduled for the same appointment slot

Happens multiple times

Many occurred at the first patient of the day Providers’ scheduling guidelines:Scheduling grids allow for overlapping appointments and double bookingSlide32

Recommendations - In Clinic

Morning Huddles

Buffer Room

Flag SystemSlide33

Introduce Morning Huddles at the Beginning of the WorkdayAllows physicians, PAs, MAs, and LPN to discuss schedule for the day and determine what will be needed of each member of the team during the day.

Limitations:

May need to come in earlier than normalSlide34

Introduce a Buffer RoomAllows PA to see next patient without waiting for the physician to complete consultation or wait for the room to be cleaned

Keeps PA on schedule

Limitations:

The providers might need all rooms in order to get through all patientsSmooth transition may be difficult at firstSlide35

Improve and Standardize Flag SystemKeep flag system

Helpful information for MAs

Improve and standardize flag system

Make sure everyone uses the flags the same wayMAs should directly retrieve the physiciansLimitations:MA may need to track provider downSlide36

Recommendations - Call Center

Clinic Staff Schedule RV

Review Schedule Guideline

Create Realistic Scheduling GridSlide37

Clinic Staff Schedules RV PatientsClinic Checkout Staff should schedule RV patients instead of contacting the Call Center to do it

Benefits:

Lower call volume for the Call Center

Patients get an appointment soonerFill more physicians’ schedulesLimitations:Uncomfortable scheduling all types of RV patientsIn which case, call the Call CenterSlide38

Review Schedule GuidelineHave physicians review the scheduling guidelines that are given to the Call Center

Re-evaluate guidelines, and perhaps simplify guidelines so scheduling guidelines can be more easily followed

Limitations:

Call Center may dismiss guidelines altogether even if they are simplified and easier to followSlide39

Create a More Realistic Scheduling GridChange scheduling grids to prevent multiple booking of appointment slots

Have MDP schedule planning team for OTO look further into this problem and create the new scheduling gridsSlide40

Recommendations - Further Scribe Study

Scribe data was inconclusive

Increased consultation time

Decreased charting timeScribes’ effectiveness should be studied further to determine their valueSlide41

Questions?Slide42

ExtraSource: MiChart Data, Collection Time: October 1, 2016 - January 31, 2017 and February 27 - March 24, 2017 n = 2,978 Slide43

Extra

Source: MiChart Data, Collection Time: October 1, 2016 - January 31, 2017 and February 27 - March 24, 2017 n = 2,978 Slide44

Otolaryngology (OTO)

Provides surgery and treatment care for patients with diseases and disorders of the ear, nose, and throat (ENT), and related structures of the head and neck