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Center for Health Care Innovation
DISCHARGE DESIGN SPRINT 9/13 Possible target opportunities within discharge/patient journey. “Bed-flow is the real problem”
discharge documents
consistently begin here on NP floor
Rhoads 3
Information gathered from six staff interviews: Center for Health Care Innovation contact: Kate ClaytonRebecca Hirsh, MD Director, Inpatient Oncology Services Mauri Sullivan, MSN, RN Clinical Director, Medical NursingColleen R. Kucharczuk, CRNP, Lead Oncology Nurse Practitioner Beth Eaby-Sandy, MSN, CRNP, OCNSarah Longworth, MD Chief Medicine Resident Chris Klock, Performance Improvement
Scheduling “not accurate” (duplicates and
errors). Scheduling is “a huge issue”
Delays to admission due to unavailable beds: rescheduling.
Process is “infuriating” for patients
Simultaneous admissions
increases work load and makes early
discharge planning fall to wayside
Some patients admitted without
proper preparations (picc line, etc): bed unnecessarily used,
increases LOS.
Residents responsible for discharge “are not thinking about the whole process” Their focus is on learning medicine, not on moving
patient along
On 2-week rotating service, there’s“no sense of ownership.” Moving patients along
doesn’t take priority
Discharge priority “is just not part of the culture here”
Variations: each floor/services team
(and individual) has a different time they begin
discharge planning
Discharge planners are “very helpful” and yet are not always on rounds and are not a
part of every team
Patients held for reasons that would not warrant hospitalization:
increased LOS
Discharge delayed waiting for PT or lab
results
Residents busy with other tasks, ex: phone, scheduling
appointments
Discharge takes priority only after rounds & teaching
patients stay in a bed waiting for a ride home
Scheduling is not coordinated by a medical staff who
can prioritize patient needs
No load-balance: M-F
8-7-6-5-0; Mondays are overloaded
APPOINTMENT SCHEDULED
or ED or TRANSFER
Opportunity:Better scheduling
Prioritize patient needs
Opportunity:Patient Satisfaction
Opportunity:Increase Discharge Prioritization
Opportunity:Transition Services
ADMISSION TO HOSPITAL HOSPITAL STAY DISCHARGE
PROCESS
Center for Health Care Innovation
DISCHARGE DESIGN SPRINT 9/13 Possible target opportunities within discharge/patient journey. “Bed-flow is the real problem”
discharge documents
consistently begin here on NP floor
Rhoads 3
Information gathered from six staff interviews: Center for Health Care Innovation contact: Kate ClaytonRebecca Hirsh, MD Director, Inpatient Oncology Services Mauri Sullivan, MSN, RN Clinical Director, Medical NursingColleen R. Kucharczuk, CRNP, Lead Oncology Nurse Practitioner Beth Eaby-Sandy, MSN, CRNP, OCNSarah Longworth, MD Chief Medicine Resident Chris Klock, Performance Improvement
Scheduling “not accurate” (duplicates and
errors). Scheduling is “a huge issue”
Delays to admission due to unavailable beds: rescheduling.
Process is “infuriating” for patients
Simultaneous admissions
increases work load and makes early
discharge planning fall to wayside
Some patients admitted without
proper preparations (picc line, etc): bed unnecessarily used,
increases LOS.
Residents responsible for discharge “are not thinking about the whole process” Their focus is on learning medicine, not on moving
patient along
On 2-week rotating service, there’s“no sense of ownership.” Moving patients along
doesn’t take priority
Discharge priority “is just not part of the culture here”
Variations: each floor/services team
(and individual) has a different time they begin
discharge planning
Discharge planners are “very helpful” and yet are not always on rounds and are not a
part of every team
Patients held for reasons that would not warrant hospitalization:
increased LOS
Discharge delayed waiting for PT or lab
results
Residents busy with other tasks, ex: phone, scheduling
appointments
Discharge takes priority only after rounds & teaching
patients stay in a bed waiting for a ride home
Scheduling is not coordinated by a medical staff who
can prioritize patient needs
No load-balance: M-F
8-7-6-5-0; Mondays are overloaded
APPOINTMENT SCHEDULED
or ED or TRANSFER
Opportunity:Better scheduling
Prioritize patient needs
Opportunity:Patient Satisfaction
Opportunity:Increase Discharge Prioritization
Opportunity:Transition Services
ADMISSION TO HOSPITAL HOSPITAL STAY DISCHARGE
“TIME TO CHEMO” LIQUID ELECTIVE PATIENTS
DISCHARGE DESIGN SPRINT 10/13 Delays in Patient time-to-chemo for elective patients
Center for Health Care Innovation
delays before bed is available:
at capacity
delays after in bed
uphs not ready
waiting for operating
hours
waiting for staff
patient not ready
picc line and other preparations not
complete
patient lives far and we prefer
prep here
can’t be done prior if no
guaranteed bed
patient not prepared
because bed availability date
uncertain
increasing demand for services
other patients occupy beds
patients get rescheduled
less priority than urgent/emergent
patients who need that bed
delays: waiting
for treatment
for labs or ptfor discharge to be
decided
variations in start of chemo
variation in available hours
weekends
discharge is one
of many tasks for
staff
support services only
open 7-7
variation in teams
oncologist vs hospitalist
discharge occurs after rounds and
after teaching
for dischargefor logistics:
ride
lack of beds
patients who don’t need that bed
no guarantee of bed on
required day
doesn’t need onc bed but needs to be
monitored
inpatient bed used for treatment that could be outpatient
terminally ill patient still in the bed
must take a bed because infusion/
outpatient suite closes at 7
hard to discuss end of life
culture and training
less priority than other longer waiting
elective patients
urgent patients take priority
too many bookings on same day
calendar not dynamic
scheduling not coordinated
no real-time live calendar:
technology
no one who owns/manages calendar for
oncology
root problem
analysis
suggested solutions
increase bed or speed?
hire person to manage calendar
and talk to floors re discharges
speed
improve calendar
technology
speed
write transfusion orders and send in with
patients
speed
designate beds just
for elective
speed
reduce variations
between days of week
speed
increase hours
of service
speed speed speedspeed
add admin person to fax,
phone assist discharge
speed
decrease current
staff demands
allow residents or admin to log in
to patient’s mypennm
speedspeed
aid in departures
think as system:
use presby
speed
schedule all possible as outpatient
bedbed
begin end of life talks sooner
guarantee bed for required
day (only)
bed bed
marketing
we make
money
we’re good at what
we do
evenings & weekends
variation in teams
discharge is one of many
tasks
increase hours of
operation/services
add admin person to fax, phone
assist discharge
send chemo orders in with patients
discharge is one of many tasks
staff attending to other demands
post-admitpre-admit
type of need
evenings/weekendsevenings/weekendsevenings/weekends
technology
procedureprocedure procedure procedureprocedure procedureprocedureprocedure
operations operations operations operations operations operationsoperationsoperations operations
staffstaff staffstaff staff staff staffstaff staffstaffstaff staffstaffstaff staff
qualities of solution
Overviews of all oncologyHelps us to plan ahead
Helps us prioritizeApproves the # of slots that can be scheduled per day
Manage relationships & requests within oncologyScheduler has clinical understanding
Uses epicLiving document
Updated in real timeNo duplicates
Can dynamically move patients in schedulePreserves bed for scheduled patients
Discharge starts earlier in day/stayAdds to culture of discharge
Supports residentsSomeone to say “where are we”
Increase medical staffSaves time for residents
Lowers barriers for scheduling for patientsReduce time from end of chemo to open bed
Uses new resources like hotel vouchersMore beds!
Chemo starting in clinicHave more staggered chemo
Save beds (reduce admissions) Patient space serviced by needs
Patients satisfactionThink as a system
Saves bedsDecreases time to chemo Chemo can start any time
Contextual Inquiry: clinicians and staff, liquid & solid, outpatient/inpatient, TAC, etc. RCA. Systems. Crowdsourced ideas. Solutions types & qualities.
PROCESS
S/E
M FTWT
Ur. Em.
+ TRANSFERS
HUP
T A C
Scheduled/Elective, Urgent, & Emergent admissions, compounded by transfers,are all sent as Admissions requeststo The Admissions Center
2 solutions can consolidate the most needed qualities.
SOLUTIONS TO TEST:
CURRENT SYSTEM:
IN ESSENCE:
There is no oncology-wide system that schedules patients based on clinical needs, load balances demands, optimizes outpatient potential, prepares patients before admission, or manages bed-flow management. Result is constant rescheduling that potentially affects dose intensity and outcomes.
19
1) a clinician to prioritize and load balance patients based on clinical needs
2) to reduce length of stay by scheduling all possible outpatient treatments as such (mixed regimen)
3) to coordinate patients before hospital admission with all necessary preparations to reduce time-to-chemo
Manage bed-flow,reduce scheduled bed demand,prepare patients
3 MAIN GOALS:
A: ONC ADMISSIONS STAFF
3
1
2
EZ Pass
S/E Ur. Em.
+ TRANSFERS
M FTWT
HUP
T A C
O N C A D M I S S I O N S
OUTPATIENT
CAPACITY
TIME
BED DEMAND
1: LOAD BALANCE2: REDUCE LOS BY SCHEDULING OUTPATIENT3: REDUCE LOS BY PREPARING PATIENTS
12 3
ALTERNATIVE VIEW: A
Manage bed-flow,Reduce scheduled admissions,Prepare patients
3 MAIN GOALS:
1) to prioritize and load balance patients based on clinical needs,
2) to reduce length of stay by scheduling all possible outpatient treatments as such (mixed regimen)
3) to coordinate patients before hospital admission with all necessary preparations to reduce time-to-chemo
In parallel to current system, schedule with prototypes to test these metrics:
What are the Metrics?1.“Minimize the time from scheduling to chemo”2. Reduction of rescheduled admissions (delays), 3. Reduction of LOS for scheduled admissions
What tools does this person need? 1: A unified system of prioritization, co-created from clinicians who schedule patients2: An organizational calendar method to balance demand.
Minimum Viable Product
O N C A D M I S S I O N SEXPERIMENT
A: HOW MIGHT WE TEST?
For example: Patient Smith is scheduled for Regimen X, with a 4 day window for acceptable admission, beginning November 10th:
Nov 10:
Scheduling by range:
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-4
EXPERIMENT:
Nov 11: Nov 12: Nov 13: Nov 14:Nov 10:
Scheduling by range:
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-4
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-0
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-1
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-2
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-3
For example: Patient Smith is scheduled for Regimen X, with a 4 day window for acceptable admission, beginning November 10th:
EXPERIMENT:
Each day after the start date, Time - # ticks up one day:
The aim is to schedule patients with the highest T-# possible (T-4)
Urgent and Emergent patients always present at T-0
Mixed inpatient/outpatient Regimens are T-0 on required hospital days
Nov 11: Nov 12: Nov 13: Nov 14:Nov 10:
Scheduling by range:
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-4
Patient EmergentIndicationEarliest Date: todayLatest Date: todayTime window: T-0
Patient Regimen X MIXEDEarliest Date: todayLatest Date: todayTime window: T-0
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-0
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-1
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-2
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-3
For example: Patient Smith is scheduled for Regimen X, with a 4 day window for acceptable admission, beginning November 10th:
EXPERIMENT:
Each day after the start date, Time - # ticks up one day:
The aim is to schedule patients with the highest T-# possible (T-4)
Questions in prototyping:
What algorithm can we use to determine treatment window?
What’s the best day to schedule mixed regimens?
What is the process for making sure scheduled patients have all preparations ready?
How many beds did we save?
Who does Onc Admissions talk to on the floors?Aha! MVP testing leads to discovery: other tools that can be
implemented, and methods on how Onc Admissions can best work with other HUP/PCAM teams.
A calendar prototype: the best prototypes aren’t fancy!
EXPERIMENT:
Uncomplicated patients at Infusion and Outpatient appointments increase urgent and emergent bed requests.
To assess, identify, and offer intermediate levels of outpatient care,To reduce urgent and emergent admissions,To increase outpatient services
WHAT HAPPENS NOW:
B: URGENT CLINIC
Ur. Em.OUTPATIENT
TIME
ACUITY/ LEVEL OF SERVICES
7am 7pm 12am12am 12pm
H U P
INFUSION
E D
CURRENT PATIENTS’ JOURNEY
1) To triage patients to their appropriate level of care
2) To offer this intermediate care: fluids, blood products, vitals, labs, IV medications, etc.
3) Reduce HUP admissions by providing outpatient services, and bypassing the ER for HUP-required admissions.
To assess, identify, and offer intermediate levels of outpatient care,To reduce urgent and emergent admissions,To increase outpatient services.
B: URGENT CLINIC
3 MAIN GOALS:
CARE CLINIC
OUTPATIENT
TIME
ACUITY/ LEVEL OF SERVICES
7am 7pm 12am12am 12pm
H U P
INFUSION
E D
FUTURE PATIENTS’ JOURNEY
HOW MIGHT WE TEST?EXPERIMENT:
PROTOTYPE: A form for providers who would use an urgent clinic
Imagine we have a 24 hour urgent clinic that can provide outpatient services to patients to avoid admissions to the ED and HUP. This clinic can evaluate a patient, provide fluids, blood products, labs, IV medications, check a CBC, give transfusions, give a neupogen shot, and check vitals.
If we had this clinic, I
could have sent
to the urgent clinic for
The patient would likely use the clinic for
provider name
patient name
indication
time of day date
hours
Note:
This would avoid a patient being sent to the ED only
This would save a hospital admission altogether
1. Vapor test—Offer something that hasn’t materialized yet:Give a form to clinicians who admit patients from Infusion or Outpatient services: For each patient, if we had a clinic, who would they send there?
Track patients from above list: could that patient have been satisfied by clinic services? Did they develop into greater acuity, or could they have avoided ED and HUP?
2. One night stand —try it before you commit: Based on demand from above, add services to the Infusion suite as a moonlit clinic, or reserve Observation Unit beds as urgent clinic for patients who present during outpatient visits and could avoid admission.
Experiments to test solutions to plan for greater success
EXPERIMENT:
If we knew something 2-3 days ahead of the time that urgent and emergent patients presented: would it be helpful? Could we intervene?
For example, could we provide hydration patches for remote monitoring?
Are there other methods we can employ to reduce cases of nausea, fever, etc, before patients present?
Looking at the root causes of urgent presenters to further identify reasons for bed demand.
WHAT IF WE KNEW...
OTHER IDEAS
Ur. Em.?
Rapid prototyping can help us to quickly discover specific criteria for creating robust solutions that address needs and qualities across oncology.
MVP parallel scheduling will help determine how onc admissions will best be executed. A schedule window range and calendar prototype will help determine how to load balance, prepare patients, and mix inpatient/outpatient regimens.
In addition to current pilot, “Vapor testing” with surveys and “one night stands” will help gauge group demand and potential.
What can we forecast in the future of oncology? Let’s test new ideas to improve bed-flow and patient experiences/outcomes, and increase our service efficiency.Ex: BMT as mixed inpatient-outpatient: testing these ideas to lead to earlier implementation.
Patient J. SmithRegimen XEarliest Date: Nov. 10Latest Date: Nov. 14Time window: T-4
BMT? 2023
RECAP
B: URGENT CARE
C: FUTURE NEEDS
A: ONC ADMISSIONS
CARE CLINIC
H U P
INFUSION
OUTPATIENT
E D
Oncology & AdmissionsRebecca Hirsh, Mauri Sullivan, Regina Cunningham, Matt Goldstein, Colleen Kucharczuk, Beth Eaby-Sandy, Sarah Longworth, Sunita Nasta, Tonita Chapman, Michelle Cannon, Ella Ryan-Meloni LeadershipLisa Bellini, Neil Fishman, PJ Brennan, David Horowitz
InnovationKate Clayton, David Asch, Roy Rosin, Shivan Mehta, Raina Merchant, Amanda Christini, Jen Myers, Adam Lang, Matthew Van Der Tuyn, Katy Mahraj, Emilie Bartolucci, Derek Mazique
Let’s move these ideas forward!
Oncology bed-flow can be improved by consolidating qualities into:an oncology-specific scheduling/admission process, anda higher utilization of outpatient services.
THANK YOU
CONCLUSION