IGI Technologies I-Corps@NIH 121014
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Transcript of IGI Technologies I-Corps@NIH 121014
Team 10 - Team IGI TechLessons Learned
Total In person Video Chat Phone
102 53 6 43
Interview count (~11 a week)
Product: Laparoscopic image fusion box that works with a surgeon’s existing lap camera and ultrasound.
Total Available Market - Every operating room in the U.S.
Served Available Market - Every OR equipped for minimally invasive surgery (MIS)
Target - Thoracic Surgeons in the U.S.
$250M
$1B
$2B
IGI Technologies TeamPrincipal Investigator Raj Shekhar, PhD
Industry ExpertMark Chandler, MBA
EntrepreneurWilliam Plishker, PhD
● Principal investigator within the Sheikh Zayed Institute for Pediatric Surgical Innovation
● Focuses on clinically driven innovation
● 15 years of experience as a serial innovator of medical and surgical imaging technologies
● Two of his prior inventions have led to commercial products.
● CEO of IGI Technologies
● Builder and leader of startups, converting academic research into real-world products.
● 3 Different Silicon Valley startups as an engineer and marketer
● Mayfield Fellow
● Early stage medical device investor
● Expert in commercializing intellectual property (IP)
● Founder of Upstream Partners
● CEO of TAO Lifesciences
1st Business Canvas - what we thought
First Business Canvas - what we thought
So here’s what we did:
Experiment: Talk to a wide variety of lap surgeons outside of home institution
Insight: Very first interview, many lap surgeons do not have ultrasound, and do not want it.
We talked to surgeons - and learned we didn’t know them as well as we thought
Products/ servicesOverlay ultrasound on lap field of view
Guidance of ablative tools
Gain creators
Get to target more reliably than standalone ultrasound
Get to target faster than standalone ultrasound
Find targets
Pain relieversSingle display
Lower technical difficulty
Reduce risk of complication
Customer Job(s)Lap surgery -- ablation/resection
Pre-procedure -- diagnose
Post procedure patient monitoringOften no task for ultrasound
Gains
Belief in better patient care
More confidence in complete treatment
More lap target identification, less open surgeon
Faster procedures
PainsMental correlation across two screensUnfamiliarity with ultrasoundSteep learning curve
Complication risk
Surgeon Value Propositions Surgeon Pains/Gains
We refined surgeons into customer segments… and value propositions
Field High volume
procedure
core need currently uses lap
ultrasound
Does NOT use robot
Urology partial neph See target and vessels (fast, sans radiologist, mobile)⇒ do more laps (vs. open)
✔
Gynecology hysterec-tomies
See the ureter ⇒ fewer complications
no, but can read it
✔
Oncology liver resections/ ablations
See the target with ablation needle critical sections⇒ fewer readmissions
✔ ✔
Thoracic ? lesion location in collapsed lung⇒ less invasive (more laps, no hand port)
no ✔
Business Canvas Iteration - CS Refinement
So here’s what we did next:
Experiment: Talk to urologic surgeons (and oncologic, gynecologic, thoracic)
Insight: Good feedback on MVP from urologists, but thoracic presented as an even more compelling opportunity.
We kept talking to surgeons - and found patterns in thoracic surgery
Pains - Disorienting- Hour-long search“Would do anything to localize tumors minimally invasively”
We kept talking to surgeons - and found patterns in thoracic surgery
Pains - Disorienting- Hour-long search“Would do anything to localize tumors minimally invasively”
50-100 cases a year at academic hospitals⇒ $250M market opportunity
Customer segments - what we learned (# of people overall supporting)
High volume procedure
core need uses lap ultrasound
Does NOT use robot
Urology partial neph See target and vessels ⇒ do more laps (vs. open) ✔
Gyn hysterectomiesendometriosis?
endomet surgery is sensitive to depth⇒ provide real-time depth (1mm accuracy) to prevent uterus punctures (2)
no, and most (3) can’t
justify port
small but growing
Oncology focus on ablations
Losing cases to interv rads (9)⇒ tool nav in lap ablation is hard, we would track everything in one place
✔ ✔
Thoracic VATS for primary lung lesions
lesion location in collapsed lung⇒ less invasive (more laps, no hand port), easier workflow (no fiducials), organ sparing, find smaller nodules,⇒ no reliance on interv rad (12)
no, but willing to learn (10) limited
Business Canvas - Thoracic Pivot
KR
KA
KP
There were many other learnings...Luminary Surgeon
(KOL)
Ultrasound Company
Lap camera company
Software Devels OR AccessAPIs
Training Curriculum Enhancement
Lap Ultrasound Visualization Studies
Integration Refinement
CR - GET
Youtube
Publications
Conference Presentations
CS
Society Courses
Centers of Excellence
Surgeon
OR Mngr
Value asmt
commApp form & pres support
Proforma Financials
Admin council
Tech assmnt
committee
Youtube
Publications
Conference Presentations
Society Courses
Centers of Excellence
App form & pres support
Proforma Financials
InterestConsideration
Purchase
Awareness
Booth
Installation at luminary
sites/KOLs
Support
KeepTrack other tools
Use other camera/
ultrasound
UnbundleUpsell
Advanced Viz:Vessel seg
Advanced Viz:3D recon
Cross Sell
Other surgeons (thoracic, urologic,
oncology, gyn)
Referrals
Academic hospitals
Main-stream
hospitals
US comps
Co-sales
IGI Tech
surgns
Tracking company
OR Mngers
VAC
equipment supply contract
hospital
profit, etc.
disposab lmarkers
profit, etc.
disposable markers
… and we are in a better position than ever for commercializationPivot: Away from urology to thoracic
Customer Segments: Primary - Thoracic Secondary - Urology, Gynecology, Oncology
U.S. Market Opportunity: $250 Million
102 Interviews:55 Surgeons 6 Radiologists10 Surgical support10 Hospital administrators 5 Ultrasound company officials 3 Robot company officials 2 Tracking company officials 4 Regulatory, reimbursement, IP specialists 7 Misc
Product: Thoracic surgeons find small-cell carcinoma lung nodules twice as fast without preoperative preparation.
1st Business Canvas - what we thought
Business Canvas Iteration - CS Refinement
Business Canvas - Thoracic Pivot
With respect to submitting an SBIR/STTR Phase II application, we are making thefollowing decision (PICK ONE)
● Go with a nominal pivot: The feasibility data generated in the Phase I grant provide the appropriate technical foundation for a Phase II application, AND we are largely targeting the customer segments that we had originally anticipated*
● Go with a significant pivot: The feasibility data generated in the Phase I grant provide the appropriate technical foundation for a Phase II application, BUT we are targeting very different customer segments than we had originally anticipated
● No Go: We do not have a product/market fit that supports the continuation of this project in its current form, and/or we have made substantial pivots to the business model that require us to obtain additional technical feasibility data that should more appropriately be pursued under a new Phase I grant (or other R&D grant)
● No Go: We plan to continue pursuing this project, but we intend to finance this project through other non-federal sources (e.g., venture, strategic partner, etc)
*we view our thoracic segment as a refinement of our existing plan, and pivot within the course
Start
Current
IRL = 6 (soft)(we have mostly validated 4-6)