SlideShare a Scribd company logo
1 of 8
Download to read offline
Optimizing Oncology
Services Through
Pre-Infusion Phlebotomy
Shaiv Kapadia, MD | Blake Wehman, MHA
©2016 | I-570ALT*
O N C O L O G Y W H I T E P A P E R
Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3
Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . 4
Solution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Iggbo Population Health Management Calculator . . . . . . .5
Iggbo PHM Calculator . . . . . . . . . . . . . . . . . . . . . . . 6
Results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7
Iggbo Solution Scorecard . . . . . . . . . . . . . . . . . . . . . .7
Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2Optimizing Oncology Services Through Pre-Infusion Phlebotomy
Abstract:
Every year 650,000 individuals battle cancer and receive
chemotherapy as part of their treatment. As a part of their clinical
protocols, these patients must receive a simple venipuncture and
diagnostic to evaluate their complete blood count and general
chemistry. These markers drive medical decision making for
oncologists, and consequently the treatment center, on whether
to administer the chemotherapy treatment for the patient.
Chemotherapy treatments are costly to a system to administer without certainty
the patient is eligible to receive the treatment on a designated day and time.
Therefore, health systems have built processes and workflows in and around
scheduled appointments to ensure patients have the necessary variables
approved prior to receiving their treatment. As a result, the average wait time in
America for a patient to receive their treatment, after arrival at the treatment
center, can range from forty-five minutes (as a barometer of excellence) to two
hours (common). Combined with the duration of treatment (ranging from one
hour to four hours depending on the chemotherapy) and the drive time to and
from the treatment center, the average cancer patient has to dedicate nearly an
entire day to receiving treatment.
While hospitals and health systems around the country are working to reduce
waste in cancer treatment centers, they have inadvertently built processes that
are leading to throughput inefficiencies and poor patient experience. Given the
current status of delivering chemotherapy in U.S. healthcare facilities, Iggbo set
out to disrupt this inefficient and ineffective model with one of the world-class
leaders in cancer-care delivery. This case study demonstrates how Iggbo was
able to reduce wait times, increase patient satisfaction, and simultaneously
reduce costs within one of the leading cancer treatment centers in the U.S.
Background:
Iggbo is an on-demand platform with a network of highly qualified healthcare professionals ranging
from phlebotomists to college trained registered nurses. While Iggbo primarily offers on-demand
venipunctures, the network is comprised of various skillsets including but not limited to, blood
pressure and weight measurement and drug screening, amongst others. Iggbo’s on-demand network
of healthcare professionals give market segments, ranging from health systems to laboratories to
point-of-care device companies, instant reach and access with a sustainable variable cost model.
Optimizing Oncology Services Through Pre-Infusion Phlebotomy 3
Problem Statement:
Health systems commonly devise workflows and processes built
around 5% of their patient population (polychromic, frail elders,
complex acute disease). It is the management of these patients
that unlocks savings across the organization and often unlocks
opportunities to increase revenue and improve efficiency by
optimizing throughput.
As exhibited below in Figure 1, health systems spend a disproportionate
amount of their resources and labor focused on a small percentage of their
total population. The at-risk population, including those battling cancer, are
the individuals whose blood draws, and thus their diagnostics, are the most
important. Without their diagnostics performed in a timely and efficient manner,
70% of medical decision making cannot occur.
FIGURE 1:
Iggbo is purpose built to tackle healthcare’s biggest problems.
Oncology
Transplants
CHF
SNFs
Diabetes
Cost Breakdown
45%
• Overutilization
• Treatment variation
• Non-compliance
5%
Polychronic, frail elders,
complex acute disease
20%
Unhealthy, at risk
75%
Generally healthy
35%
• Poor coordination
• Repeated care
• Complications
20%
Routine healthcare
Patient Cohorts
The current precedent is to couple visits and treatments with same day blood
draws. The result is an inefficient model that could be disrupted by simply
collecting the blood draw in advance of the treatment or physician visit. Now,
equipped with the necessary diagnostic information, the system can accelerate
their decision making and unlock efficiencies at the point-of-service and
downstream across other business units within the system including but not
limited to the laboratory, pharmacy and floor nurses.
Optimizing Oncology Services Through Pre-Infusion Phlebotomy 4
Solution:
Given the current status of delivering chemotherapy in most
U.S. healthcare facilities, Iggbo set out to disrupt this inefficient
and ineffective model with one of the United States’ world-class
leaders in cancer-care delivery. The goal was to reduce wait times,
increase patient satisfaction, and simultaneously reduce costs.
Through Iggbo’s project management team, the health system’s standard
operating procedures were assessed and assimilated into the technology
through Iggbo Assist, a proprietary product that guides the phlebotomists
through collection criteria specific to the system’s internal laboratory. By
leveraging Iggbo’s platform, the health system had the ability to collect at the
patient’s home, occupation or place of choice in advance of their scheduled
chemotherapy without contracting out to an external laboratory. All specimen
collections were then delivered back to the health system and integrated with
their oncologists’ electronic medical records, providing a higher confidence in
the values resulted from the diagnostics.
Iggbo’s project management team leveraged its proprietary Population Health
Management (PHM) True Wait Time calculator (Figure 2), included below, for
the Oncology service line, to work through the health system’s current true wait
time and the true delta in efficiency pre-Iggbo and post-Iggbo. By working with
a leading cancer treatment center for this pilot, Iggbo identified a wide range of
reports the health system was using to track wait times. Together, Iggbo and the
cancer treatment center pioneered one, true-wait time calculator to help both
entities—and future customers—evaluate the end-to-end experience for patients.
FIGURE 2:
Iggbo Population Health Management Calculator:
True Wait Time
Iggbo Wait Time Calculator Value Metric
If they don’t have their blood work performed yet, 15 Min
how long do they wait to get their blood drawn?
How long does it take to get the results back from the lab? 10 Min
If the chemotherapy is not pre-mixed, how long does it 10 Min
take for the pharmacy to receive the order from the lab?
How long, then, does it take for the pharmacy to deliver 30 Min
to the treatment center?
Total Minutes 65 Min
Understanding the true wait
time was vital for evaluating the
downstream impacts Iggbo had on
the pioneering cancer center. Once
the center had generated their true
wait time value, they could complete
the remainder of the Iggbo PHM
Calculator (Figure 3). Each individual
question moved the center closer
to a holistic, panoramic view of the
problem at hand.
Ultimately, each individual pain
point by the center was mitigated as
a result of their implementation of
the Iggbo solution.
Optimizing Oncology Services Through Pre-Infusion Phlebotomy 5
Administrative Value Metric
Operating Day 5 Days
Operating Hours 9 Hours
Average Daily Patient Census 120 Number
Average Treatment Duration 240 Minutes
Number of Treatment Chairs 30 Number
Days of Operation per Year 260
Operations
Do you pre-mix your chemo for patients? N Y/N
(Y/N)
If no, why not? Do not want to Written
waste chemo in
case patients do
not show up or
their blood comes
back adverse
If yes, what % of pre-mixed chemo is 2 %
discarded/wasted?
Do you receive any blood work in advance N Y/N
of chemo today?
If yes, what is the current strategy Patient comes Written
(draw stations, partnerships with Quest, back in the day
LabCorp, etc.)? before
When a patient arrives for their 65 Minutes
chemotherapy, how long do they wait
on average to receive treatment?***
Value generated from True Wait
Time Calculator in Figure 2
What % of patients are turned away 7.50% %
because their lab values came back
disallowing them to receive chemo
that day?
FIGURE 3:
Iggbo PHM Calculator:
Oncology Services
Through the due diligence
and process engineering
performed, in conjunction
with the integration of
their laboratory protocols
into Iggbo’s on-demand
technology, Iggbo
implemented an end-to-end
solution built to:
• optimize throughput
• reduce waste
• increase patient quality
and outcomes
Optimizing Oncology Services Through Pre-Infusion Phlebotomy 6
FIGURE 4:
Iggbo Solution Scorecard
Results:
Iggbo’s partnership with a leading cancer treatment center
resulted in a median wait time of zero minutes, a patient
satisfaction rating of 100%, and 100% patients reported they
would refer the Iggbo model to a friend.
By leveraging Iggbo’s on-demand workforce, the health system was able to
provide a mobile, flexible catchment in one of America’s densest metropolitan
statistical areas that was both convenient for the patient and compliant with the
system’s laboratory protocols.
The Iggbo Solution Scorecard was built to illustrate the net-impact the Iggbo
model had on the system.
The result of the Iggbo implementation was a projected net-increase of 120 patients per day due
to optimized throughput.
Net-increase of
120patients
Adoption Rate (Assumption) 75%
Average Time Saved by pre-infusion phlebotomy draw 30
Total Patients Per Day 120
Average duration of chemo 240
Patients Turned Away Per Day 9
Wasted Minutes For Patients Turned Away 225
Total Minutes Saved Per Day 2925
Net Increase in chemo appointments 12
Optimizing Oncology Services Through Pre-Infusion Phlebotomy 7
Conclusion:
The American health care system has set out to accomplish the
Triple Aim for nearly two decades: reduce costs, increase quality
and improve outcomes. Through Iggbo’s on-demand network of
healthcare labor, health systems can accomplish this goal, as
proven by Iggbo’s case study with a leading cancer treatment
center. In this study, patients overwhelmingly selected Iggbo’s
phlebotomy model over the alternative, receiving a blood draw
the same day as their chemotherapy. By using Iggbo, the health
system was able to unlock thirty-three incremental hours to
deliver more care to their population while outcomes improved as
patients avoided unnecessary visits to their provider and providers
received actionable insights into their patient population in
advance of chemotherapy.
For more information
about how Iggbo
can help you or
your system, please
contact Iggbo at
info@iggbo.com
Optimizing Oncology Services Through Pre-Infusion Phlebotomy 8

More Related Content

What's hot

Specialty Pharmacy Sales Program
Specialty Pharmacy Sales ProgramSpecialty Pharmacy Sales Program
Specialty Pharmacy Sales ProgramMaxiMedRx
 
Improving efficiencies in medication reconciliation: The McGill Story
Improving efficiencies in medication reconciliation: The McGill StoryImproving efficiencies in medication reconciliation: The McGill Story
Improving efficiencies in medication reconciliation: The McGill StoryCanadian Patient Safety Institute
 
CPOE - Computerized Physician Order Entry
CPOE - Computerized Physician Order EntryCPOE - Computerized Physician Order Entry
CPOE - Computerized Physician Order EntryKristie Brown
 
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...PAREXEL International
 
4. cost outcome description cba
4. cost outcome description cba4. cost outcome description cba
4. cost outcome description cbaEva Taulabi
 
Demonstrating Significant Benefit for an OMP
Demonstrating Significant Benefit for an OMPDemonstrating Significant Benefit for an OMP
Demonstrating Significant Benefit for an OMPMauro Placchi
 
RF 2016 07 Health Technology Assessment
RF 2016 07 Health Technology AssessmentRF 2016 07 Health Technology Assessment
RF 2016 07 Health Technology AssessmentRichard Phillips
 
GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...
GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...
GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...Darren Ransley
 
Setting up of new pharmacovigilance centres
Setting up of new pharmacovigilance centresSetting up of new pharmacovigilance centres
Setting up of new pharmacovigilance centresPriti Gupta
 
Indoor patients’ satisfactory influential factors’ on healthcare services of ...
Indoor patients’ satisfactory influential factors’ on healthcare services of ...Indoor patients’ satisfactory influential factors’ on healthcare services of ...
Indoor patients’ satisfactory influential factors’ on healthcare services of ...HeenaRaffi1
 
smi patient recruitment programs
smi patient recruitment programssmi patient recruitment programs
smi patient recruitment programsnicoleriv
 
CoArtha Technolsolutions IT for Meaningful Use
CoArtha Technolsolutions IT for Meaningful UseCoArtha Technolsolutions IT for Meaningful Use
CoArtha Technolsolutions IT for Meaningful UseMapRecruit.com
 
7777-67-7207_Oregon_ODB_Oncology_Clinics
7777-67-7207_Oregon_ODB_Oncology_Clinics7777-67-7207_Oregon_ODB_Oncology_Clinics
7777-67-7207_Oregon_ODB_Oncology_Clinicsabrahamgage
 
Hassan Argomandkhah - electronic Transfer of Care to Pharmacy training session
Hassan Argomandkhah - electronic Transfer of Care to Pharmacy training sessionHassan Argomandkhah - electronic Transfer of Care to Pharmacy training session
Hassan Argomandkhah - electronic Transfer of Care to Pharmacy training sessionInnovation Agency
 
FDA Initiatives Under The 21st Century Cures Act
FDA Initiatives Under The 21st Century Cures ActFDA Initiatives Under The 21st Century Cures Act
FDA Initiatives Under The 21st Century Cures ActPAREXEL International
 
Case 3 Report-Group11
Case 3 Report-Group11Case 3 Report-Group11
Case 3 Report-Group11Shaoze Pan
 

What's hot (20)

Specialty Pharmacy Sales Program
Specialty Pharmacy Sales ProgramSpecialty Pharmacy Sales Program
Specialty Pharmacy Sales Program
 
Improving efficiencies in medication reconciliation: The McGill Story
Improving efficiencies in medication reconciliation: The McGill StoryImproving efficiencies in medication reconciliation: The McGill Story
Improving efficiencies in medication reconciliation: The McGill Story
 
CPOE - Computerized Physician Order Entry
CPOE - Computerized Physician Order EntryCPOE - Computerized Physician Order Entry
CPOE - Computerized Physician Order Entry
 
Computerized physician order entry (cpoe) and
Computerized physician order entry (cpoe) andComputerized physician order entry (cpoe) and
Computerized physician order entry (cpoe) and
 
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
 
4. cost outcome description cba
4. cost outcome description cba4. cost outcome description cba
4. cost outcome description cba
 
Demonstrating Significant Benefit for an OMP
Demonstrating Significant Benefit for an OMPDemonstrating Significant Benefit for an OMP
Demonstrating Significant Benefit for an OMP
 
RF 2016 07 Health Technology Assessment
RF 2016 07 Health Technology AssessmentRF 2016 07 Health Technology Assessment
RF 2016 07 Health Technology Assessment
 
CMS III and eHR
CMS III and eHRCMS III and eHR
CMS III and eHR
 
K045068074
K045068074K045068074
K045068074
 
GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...
GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...
GE Healthcare_Ghent University Hospital - Clinical Notification System_Case_S...
 
Setting up of new pharmacovigilance centres
Setting up of new pharmacovigilance centresSetting up of new pharmacovigilance centres
Setting up of new pharmacovigilance centres
 
Trends in Early Development
Trends in Early DevelopmentTrends in Early Development
Trends in Early Development
 
Indoor patients’ satisfactory influential factors’ on healthcare services of ...
Indoor patients’ satisfactory influential factors’ on healthcare services of ...Indoor patients’ satisfactory influential factors’ on healthcare services of ...
Indoor patients’ satisfactory influential factors’ on healthcare services of ...
 
smi patient recruitment programs
smi patient recruitment programssmi patient recruitment programs
smi patient recruitment programs
 
CoArtha Technolsolutions IT for Meaningful Use
CoArtha Technolsolutions IT for Meaningful UseCoArtha Technolsolutions IT for Meaningful Use
CoArtha Technolsolutions IT for Meaningful Use
 
7777-67-7207_Oregon_ODB_Oncology_Clinics
7777-67-7207_Oregon_ODB_Oncology_Clinics7777-67-7207_Oregon_ODB_Oncology_Clinics
7777-67-7207_Oregon_ODB_Oncology_Clinics
 
Hassan Argomandkhah - electronic Transfer of Care to Pharmacy training session
Hassan Argomandkhah - electronic Transfer of Care to Pharmacy training sessionHassan Argomandkhah - electronic Transfer of Care to Pharmacy training session
Hassan Argomandkhah - electronic Transfer of Care to Pharmacy training session
 
FDA Initiatives Under The 21st Century Cures Act
FDA Initiatives Under The 21st Century Cures ActFDA Initiatives Under The 21st Century Cures Act
FDA Initiatives Under The 21st Century Cures Act
 
Case 3 Report-Group11
Case 3 Report-Group11Case 3 Report-Group11
Case 3 Report-Group11
 

Viewers also liked

Water Brochure.2015
Water Brochure.2015Water Brochure.2015
Water Brochure.2015Tracey Tripp
 
Higher Education for Sustainability 17 Dec 2015
Higher Education for Sustainability 17 Dec 2015Higher Education for Sustainability 17 Dec 2015
Higher Education for Sustainability 17 Dec 2015Michelle Merrill
 
Key competences slideshare
Key competences slideshareKey competences slideshare
Key competences slideshareEster Boldú
 
Curriculum development in higher education
Curriculum development in higher educationCurriculum development in higher education
Curriculum development in higher educationDr. Z. Zayapragassarazan
 
Lesson 5: Organizational Structure of the Department of Education Field Off...
Lesson 5:   Organizational Structure of the Department of Education Field Off...Lesson 5:   Organizational Structure of the Department of Education Field Off...
Lesson 5: Organizational Structure of the Department of Education Field Off...Rica Joy Pontilar
 
Key Competences In The Spanish Education System
Key Competences In The Spanish Education SystemKey Competences In The Spanish Education System
Key Competences In The Spanish Education SystemJoan Ramon Pla i Novell
 
Mother tongue based multilingual education
Mother tongue based multilingual educationMother tongue based multilingual education
Mother tongue based multilingual educationbeedivb
 
Revised basic education curriculum (rbec)
Revised basic education curriculum (rbec)Revised basic education curriculum (rbec)
Revised basic education curriculum (rbec)Geraldine D. Reyes
 
The Organizational Structure of the Philippine Educational System
The Organizational Structure of the Philippine Educational SystemThe Organizational Structure of the Philippine Educational System
The Organizational Structure of the Philippine Educational SystemGlance Ruiz
 
Revisions of the Basic Education Curriculum
Revisions of the Basic Education Curriculum Revisions of the Basic Education Curriculum
Revisions of the Basic Education Curriculum Genesis Felipe
 
Historical foundation of philippine education
Historical foundation of philippine education Historical foundation of philippine education
Historical foundation of philippine education Michael John Labog
 
Curriculum models (Philippines' Curriculum Models)
Curriculum models (Philippines' Curriculum Models)Curriculum models (Philippines' Curriculum Models)
Curriculum models (Philippines' Curriculum Models)TeacherAdora
 
DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10
DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10
DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10Bogs De Castro
 
DepEd, CHED and TESDA
DepEd, CHED and TESDADepEd, CHED and TESDA
DepEd, CHED and TESDArajnulada
 

Viewers also liked (20)

Teaching as a Process in Curriculum
Teaching as a Process in CurriculumTeaching as a Process in Curriculum
Teaching as a Process in Curriculum
 
2002 Basic Education Curriculum
2002 Basic Education Curriculum2002 Basic Education Curriculum
2002 Basic Education Curriculum
 
Water Brochure.2015
Water Brochure.2015Water Brochure.2015
Water Brochure.2015
 
Ambius
AmbiusAmbius
Ambius
 
Higher Education for Sustainability 17 Dec 2015
Higher Education for Sustainability 17 Dec 2015Higher Education for Sustainability 17 Dec 2015
Higher Education for Sustainability 17 Dec 2015
 
Key competences slideshare
Key competences slideshareKey competences slideshare
Key competences slideshare
 
Curriculum development in higher education
Curriculum development in higher educationCurriculum development in higher education
Curriculum development in higher education
 
The 8 Key Competences
The 8 Key CompetencesThe 8 Key Competences
The 8 Key Competences
 
Lesson 5: Organizational Structure of the Department of Education Field Off...
Lesson 5:   Organizational Structure of the Department of Education Field Off...Lesson 5:   Organizational Structure of the Department of Education Field Off...
Lesson 5: Organizational Structure of the Department of Education Field Off...
 
Key Competences In The Spanish Education System
Key Competences In The Spanish Education SystemKey Competences In The Spanish Education System
Key Competences In The Spanish Education System
 
Mother tongue based multilingual education
Mother tongue based multilingual educationMother tongue based multilingual education
Mother tongue based multilingual education
 
Ched ppt report
Ched ppt reportChed ppt report
Ched ppt report
 
The Philippine BEC
The Philippine BECThe Philippine BEC
The Philippine BEC
 
Revised basic education curriculum (rbec)
Revised basic education curriculum (rbec)Revised basic education curriculum (rbec)
Revised basic education curriculum (rbec)
 
The Organizational Structure of the Philippine Educational System
The Organizational Structure of the Philippine Educational SystemThe Organizational Structure of the Philippine Educational System
The Organizational Structure of the Philippine Educational System
 
Revisions of the Basic Education Curriculum
Revisions of the Basic Education Curriculum Revisions of the Basic Education Curriculum
Revisions of the Basic Education Curriculum
 
Historical foundation of philippine education
Historical foundation of philippine education Historical foundation of philippine education
Historical foundation of philippine education
 
Curriculum models (Philippines' Curriculum Models)
Curriculum models (Philippines' Curriculum Models)Curriculum models (Philippines' Curriculum Models)
Curriculum models (Philippines' Curriculum Models)
 
DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10
DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10
DepEd TLE Computer Hardware Servicing Curriculum Guide Grade 7-10
 
DepEd, CHED and TESDA
DepEd, CHED and TESDADepEd, CHED and TESDA
DepEd, CHED and TESDA
 

Similar to oncology white paper (web)

I reland feb 2014
I reland feb  2014 I reland feb  2014
I reland feb 2014 Paul Grundy
 
Aust pharm march 2014
Aust pharm march  2014 Aust pharm march  2014
Aust pharm march 2014 Paul Grundy
 
white-paper-innovation-clinical-trials
white-paper-innovation-clinical-trialswhite-paper-innovation-clinical-trials
white-paper-innovation-clinical-trialsUlrich Neumann, FRSA
 
Four strategies to upgrade clinical trial quality in this computerized world ...
Four strategies to upgrade clinical trial quality in this computerized world ...Four strategies to upgrade clinical trial quality in this computerized world ...
Four strategies to upgrade clinical trial quality in this computerized world ...Pubrica
 
Reducing hospital readmission rate; a strategy paper
Reducing hospital readmission rate; a strategy paperReducing hospital readmission rate; a strategy paper
Reducing hospital readmission rate; a strategy paperAhmed Otokiti MD, MBA, MPH
 
This is a study case in all the photosthe SIPOC diagram bel.pdf
 This is a study case in all the photosthe SIPOC diagram bel.pdf This is a study case in all the photosthe SIPOC diagram bel.pdf
This is a study case in all the photosthe SIPOC diagram bel.pdfjkcs20004
 
Critical Thinking Case Study – Cost Containment (120 points)C.docx
Critical Thinking Case Study – Cost Containment (120 points)C.docxCritical Thinking Case Study – Cost Containment (120 points)C.docx
Critical Thinking Case Study – Cost Containment (120 points)C.docxmydrynan
 
CSR Automation: Streamlining Clinical Study Reporting
CSR Automation: Streamlining Clinical Study ReportingCSR Automation: Streamlining Clinical Study Reporting
CSR Automation: Streamlining Clinical Study ReportingClinosolIndia
 
A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...
A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...
A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...Joe Andelija
 
Quality Improvement in HIV Clinics
Quality Improvement in HIV ClinicsQuality Improvement in HIV Clinics
Quality Improvement in HIV Clinicssuchiey
 
Web application for clinicians - SidekickCV
Web application for clinicians - SidekickCVWeb application for clinicians - SidekickCV
Web application for clinicians - SidekickCVAaron Duthie
 
5_White Paper Real Time Patient Feedback
5_White Paper Real Time Patient Feedback5_White Paper Real Time Patient Feedback
5_White Paper Real Time Patient FeedbackChristopher Morgan
 
STARSurgUK Protocol v5.3
STARSurgUK Protocol v5.3STARSurgUK Protocol v5.3
STARSurgUK Protocol v5.3STARSurg
 
Insurance reimbursement in the oncology market
Insurance reimbursement in the oncology marketInsurance reimbursement in the oncology market
Insurance reimbursement in the oncology marketsmithjgrace
 
Structure and development of a clinical decision support system: application ...
Structure and development of a clinical decision support system: application ...Structure and development of a clinical decision support system: application ...
Structure and development of a clinical decision support system: application ...komalicarol
 
2_White Paper Electronic Meal Ordering
2_White Paper Electronic Meal Ordering2_White Paper Electronic Meal Ordering
2_White Paper Electronic Meal OrderingChristopher Morgan
 
Patients Recruitment Forecast in Clinical Trials
Patients Recruitment Forecast in Clinical TrialsPatients Recruitment Forecast in Clinical Trials
Patients Recruitment Forecast in Clinical TrialsCognizant
 
Test Utilization White Paper
Test Utilization White PaperTest Utilization White Paper
Test Utilization White PaperGary Weiland
 

Similar to oncology white paper (web) (20)

I reland feb 2014
I reland feb  2014 I reland feb  2014
I reland feb 2014
 
Aust pharm march 2014
Aust pharm march  2014 Aust pharm march  2014
Aust pharm march 2014
 
white-paper-innovation-clinical-trials
white-paper-innovation-clinical-trialswhite-paper-innovation-clinical-trials
white-paper-innovation-clinical-trials
 
Four strategies to upgrade clinical trial quality in this computerized world ...
Four strategies to upgrade clinical trial quality in this computerized world ...Four strategies to upgrade clinical trial quality in this computerized world ...
Four strategies to upgrade clinical trial quality in this computerized world ...
 
Acc_POV_Trinity_PRINT
Acc_POV_Trinity_PRINTAcc_POV_Trinity_PRINT
Acc_POV_Trinity_PRINT
 
Reducing hospital readmission rate; a strategy paper
Reducing hospital readmission rate; a strategy paperReducing hospital readmission rate; a strategy paper
Reducing hospital readmission rate; a strategy paper
 
This is a study case in all the photosthe SIPOC diagram bel.pdf
 This is a study case in all the photosthe SIPOC diagram bel.pdf This is a study case in all the photosthe SIPOC diagram bel.pdf
This is a study case in all the photosthe SIPOC diagram bel.pdf
 
Critical Thinking Case Study – Cost Containment (120 points)C.docx
Critical Thinking Case Study – Cost Containment (120 points)C.docxCritical Thinking Case Study – Cost Containment (120 points)C.docx
Critical Thinking Case Study – Cost Containment (120 points)C.docx
 
CSR Automation: Streamlining Clinical Study Reporting
CSR Automation: Streamlining Clinical Study ReportingCSR Automation: Streamlining Clinical Study Reporting
CSR Automation: Streamlining Clinical Study Reporting
 
4_White Paper IPFM
4_White Paper IPFM4_White Paper IPFM
4_White Paper IPFM
 
A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...
A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...
A LEAN SIX SIGMA APPROACH TO REDUCE WAITING AND REPORTING TIME IN THE RADIOLO...
 
Quality Improvement in HIV Clinics
Quality Improvement in HIV ClinicsQuality Improvement in HIV Clinics
Quality Improvement in HIV Clinics
 
Web application for clinicians - SidekickCV
Web application for clinicians - SidekickCVWeb application for clinicians - SidekickCV
Web application for clinicians - SidekickCV
 
5_White Paper Real Time Patient Feedback
5_White Paper Real Time Patient Feedback5_White Paper Real Time Patient Feedback
5_White Paper Real Time Patient Feedback
 
STARSurgUK Protocol v5.3
STARSurgUK Protocol v5.3STARSurgUK Protocol v5.3
STARSurgUK Protocol v5.3
 
Insurance reimbursement in the oncology market
Insurance reimbursement in the oncology marketInsurance reimbursement in the oncology market
Insurance reimbursement in the oncology market
 
Structure and development of a clinical decision support system: application ...
Structure and development of a clinical decision support system: application ...Structure and development of a clinical decision support system: application ...
Structure and development of a clinical decision support system: application ...
 
2_White Paper Electronic Meal Ordering
2_White Paper Electronic Meal Ordering2_White Paper Electronic Meal Ordering
2_White Paper Electronic Meal Ordering
 
Patients Recruitment Forecast in Clinical Trials
Patients Recruitment Forecast in Clinical TrialsPatients Recruitment Forecast in Clinical Trials
Patients Recruitment Forecast in Clinical Trials
 
Test Utilization White Paper
Test Utilization White PaperTest Utilization White Paper
Test Utilization White Paper
 

oncology white paper (web)

  • 1. Optimizing Oncology Services Through Pre-Infusion Phlebotomy Shaiv Kapadia, MD | Blake Wehman, MHA ©2016 | I-570ALT* O N C O L O G Y W H I T E P A P E R
  • 2. Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . 4 Solution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 Iggbo Population Health Management Calculator . . . . . . .5 Iggbo PHM Calculator . . . . . . . . . . . . . . . . . . . . . . . 6 Results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7 Iggbo Solution Scorecard . . . . . . . . . . . . . . . . . . . . . .7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2Optimizing Oncology Services Through Pre-Infusion Phlebotomy
  • 3. Abstract: Every year 650,000 individuals battle cancer and receive chemotherapy as part of their treatment. As a part of their clinical protocols, these patients must receive a simple venipuncture and diagnostic to evaluate their complete blood count and general chemistry. These markers drive medical decision making for oncologists, and consequently the treatment center, on whether to administer the chemotherapy treatment for the patient. Chemotherapy treatments are costly to a system to administer without certainty the patient is eligible to receive the treatment on a designated day and time. Therefore, health systems have built processes and workflows in and around scheduled appointments to ensure patients have the necessary variables approved prior to receiving their treatment. As a result, the average wait time in America for a patient to receive their treatment, after arrival at the treatment center, can range from forty-five minutes (as a barometer of excellence) to two hours (common). Combined with the duration of treatment (ranging from one hour to four hours depending on the chemotherapy) and the drive time to and from the treatment center, the average cancer patient has to dedicate nearly an entire day to receiving treatment. While hospitals and health systems around the country are working to reduce waste in cancer treatment centers, they have inadvertently built processes that are leading to throughput inefficiencies and poor patient experience. Given the current status of delivering chemotherapy in U.S. healthcare facilities, Iggbo set out to disrupt this inefficient and ineffective model with one of the world-class leaders in cancer-care delivery. This case study demonstrates how Iggbo was able to reduce wait times, increase patient satisfaction, and simultaneously reduce costs within one of the leading cancer treatment centers in the U.S. Background: Iggbo is an on-demand platform with a network of highly qualified healthcare professionals ranging from phlebotomists to college trained registered nurses. While Iggbo primarily offers on-demand venipunctures, the network is comprised of various skillsets including but not limited to, blood pressure and weight measurement and drug screening, amongst others. Iggbo’s on-demand network of healthcare professionals give market segments, ranging from health systems to laboratories to point-of-care device companies, instant reach and access with a sustainable variable cost model. Optimizing Oncology Services Through Pre-Infusion Phlebotomy 3
  • 4. Problem Statement: Health systems commonly devise workflows and processes built around 5% of their patient population (polychromic, frail elders, complex acute disease). It is the management of these patients that unlocks savings across the organization and often unlocks opportunities to increase revenue and improve efficiency by optimizing throughput. As exhibited below in Figure 1, health systems spend a disproportionate amount of their resources and labor focused on a small percentage of their total population. The at-risk population, including those battling cancer, are the individuals whose blood draws, and thus their diagnostics, are the most important. Without their diagnostics performed in a timely and efficient manner, 70% of medical decision making cannot occur. FIGURE 1: Iggbo is purpose built to tackle healthcare’s biggest problems. Oncology Transplants CHF SNFs Diabetes Cost Breakdown 45% • Overutilization • Treatment variation • Non-compliance 5% Polychronic, frail elders, complex acute disease 20% Unhealthy, at risk 75% Generally healthy 35% • Poor coordination • Repeated care • Complications 20% Routine healthcare Patient Cohorts The current precedent is to couple visits and treatments with same day blood draws. The result is an inefficient model that could be disrupted by simply collecting the blood draw in advance of the treatment or physician visit. Now, equipped with the necessary diagnostic information, the system can accelerate their decision making and unlock efficiencies at the point-of-service and downstream across other business units within the system including but not limited to the laboratory, pharmacy and floor nurses. Optimizing Oncology Services Through Pre-Infusion Phlebotomy 4
  • 5. Solution: Given the current status of delivering chemotherapy in most U.S. healthcare facilities, Iggbo set out to disrupt this inefficient and ineffective model with one of the United States’ world-class leaders in cancer-care delivery. The goal was to reduce wait times, increase patient satisfaction, and simultaneously reduce costs. Through Iggbo’s project management team, the health system’s standard operating procedures were assessed and assimilated into the technology through Iggbo Assist, a proprietary product that guides the phlebotomists through collection criteria specific to the system’s internal laboratory. By leveraging Iggbo’s platform, the health system had the ability to collect at the patient’s home, occupation or place of choice in advance of their scheduled chemotherapy without contracting out to an external laboratory. All specimen collections were then delivered back to the health system and integrated with their oncologists’ electronic medical records, providing a higher confidence in the values resulted from the diagnostics. Iggbo’s project management team leveraged its proprietary Population Health Management (PHM) True Wait Time calculator (Figure 2), included below, for the Oncology service line, to work through the health system’s current true wait time and the true delta in efficiency pre-Iggbo and post-Iggbo. By working with a leading cancer treatment center for this pilot, Iggbo identified a wide range of reports the health system was using to track wait times. Together, Iggbo and the cancer treatment center pioneered one, true-wait time calculator to help both entities—and future customers—evaluate the end-to-end experience for patients. FIGURE 2: Iggbo Population Health Management Calculator: True Wait Time Iggbo Wait Time Calculator Value Metric If they don’t have their blood work performed yet, 15 Min how long do they wait to get their blood drawn? How long does it take to get the results back from the lab? 10 Min If the chemotherapy is not pre-mixed, how long does it 10 Min take for the pharmacy to receive the order from the lab? How long, then, does it take for the pharmacy to deliver 30 Min to the treatment center? Total Minutes 65 Min Understanding the true wait time was vital for evaluating the downstream impacts Iggbo had on the pioneering cancer center. Once the center had generated their true wait time value, they could complete the remainder of the Iggbo PHM Calculator (Figure 3). Each individual question moved the center closer to a holistic, panoramic view of the problem at hand. Ultimately, each individual pain point by the center was mitigated as a result of their implementation of the Iggbo solution. Optimizing Oncology Services Through Pre-Infusion Phlebotomy 5
  • 6. Administrative Value Metric Operating Day 5 Days Operating Hours 9 Hours Average Daily Patient Census 120 Number Average Treatment Duration 240 Minutes Number of Treatment Chairs 30 Number Days of Operation per Year 260 Operations Do you pre-mix your chemo for patients? N Y/N (Y/N) If no, why not? Do not want to Written waste chemo in case patients do not show up or their blood comes back adverse If yes, what % of pre-mixed chemo is 2 % discarded/wasted? Do you receive any blood work in advance N Y/N of chemo today? If yes, what is the current strategy Patient comes Written (draw stations, partnerships with Quest, back in the day LabCorp, etc.)? before When a patient arrives for their 65 Minutes chemotherapy, how long do they wait on average to receive treatment?*** Value generated from True Wait Time Calculator in Figure 2 What % of patients are turned away 7.50% % because their lab values came back disallowing them to receive chemo that day? FIGURE 3: Iggbo PHM Calculator: Oncology Services Through the due diligence and process engineering performed, in conjunction with the integration of their laboratory protocols into Iggbo’s on-demand technology, Iggbo implemented an end-to-end solution built to: • optimize throughput • reduce waste • increase patient quality and outcomes Optimizing Oncology Services Through Pre-Infusion Phlebotomy 6
  • 7. FIGURE 4: Iggbo Solution Scorecard Results: Iggbo’s partnership with a leading cancer treatment center resulted in a median wait time of zero minutes, a patient satisfaction rating of 100%, and 100% patients reported they would refer the Iggbo model to a friend. By leveraging Iggbo’s on-demand workforce, the health system was able to provide a mobile, flexible catchment in one of America’s densest metropolitan statistical areas that was both convenient for the patient and compliant with the system’s laboratory protocols. The Iggbo Solution Scorecard was built to illustrate the net-impact the Iggbo model had on the system. The result of the Iggbo implementation was a projected net-increase of 120 patients per day due to optimized throughput. Net-increase of 120patients Adoption Rate (Assumption) 75% Average Time Saved by pre-infusion phlebotomy draw 30 Total Patients Per Day 120 Average duration of chemo 240 Patients Turned Away Per Day 9 Wasted Minutes For Patients Turned Away 225 Total Minutes Saved Per Day 2925 Net Increase in chemo appointments 12 Optimizing Oncology Services Through Pre-Infusion Phlebotomy 7
  • 8. Conclusion: The American health care system has set out to accomplish the Triple Aim for nearly two decades: reduce costs, increase quality and improve outcomes. Through Iggbo’s on-demand network of healthcare labor, health systems can accomplish this goal, as proven by Iggbo’s case study with a leading cancer treatment center. In this study, patients overwhelmingly selected Iggbo’s phlebotomy model over the alternative, receiving a blood draw the same day as their chemotherapy. By using Iggbo, the health system was able to unlock thirty-three incremental hours to deliver more care to their population while outcomes improved as patients avoided unnecessary visits to their provider and providers received actionable insights into their patient population in advance of chemotherapy. For more information about how Iggbo can help you or your system, please contact Iggbo at info@iggbo.com Optimizing Oncology Services Through Pre-Infusion Phlebotomy 8