Session
1:
Future
Technology
Moderator:
Cindy
Mitchell
Presenters:
Traci
Davis
Mark
Dion
The Underwriter Meets the
Quantified Self
Mark S Dion FALU FLMI
August 3, 2015
Quantimetric self 1996
The term "quantified self" appears:
Gary Wolf and Kevin Kelly, editors at Wired Magazine, in 2007 proposed "a
collaboration of users and tool makers who share an interest in self
knowledge through self-tracking."
3
While not universal, it is harder and harder to find unconnected areas in
developed countries.
Though the National Park Service still field numerous complaints about why
teens aren’t getting cell service in the back country
Is the day coming soon that we can get medical attention, advice, maybe
treatment any where on the globe through our smartphone or smartwatch?
Smaller
Faster
Better
&
Connected
Medical Technology
5
Medical
https://getreferralmd.com/2013/11/health-care-technology-innovations-2013-infographic/ Here now: Virtual dissection Real-Time diagnostics Robotic interventionArtificial Intelligence decision support
In progress: Medical Tricorder Augmented Reality Optogenetics
Customized mobile apps
3D Printed biomaterials and drugs
Coming:
Full physiological simulation Holographic Input
Remote touch Virtual reality
Here now:
Curated online information Digestible sensors
Personalized genomics Telemedicine
In progress:
Wearable and embedded sensors Artificial organs
Robotic nurse assistants
Coming:
Home diagnostics
Augmenting human capabilities Humanoid robots
Gamification of health
Patients (our potential clients)
7
Micro-samples
Smaller samples preformed on demand at the pharmacy, same day as the application
Microchip modelling instead of animal trials
Could we speed up approvals, reduce costs, explore drugs for orphan diseases and solve some animal treatment issues?
3D Printed biological materials (The Replicator?)
What if prescription refills could be printed at home?
Digestible sensors
Tracking compliance anyone? Replace the colonoscopy?
Wearables
MDs, patients, clients, underwriters and actuaries
Electronic aspirin
Blocks signals in the sphenopalatine ganglion (SPG) to relieve migraine
Some New Technologies
7
Wellness programs, Quantification, and Gamification
Is the wearable fitness tracker here to stay?
The second and third generation medical tricorder
The Qualcomm XPRIZE is just the beginning
The $1,000 Genome (what about the $200 genome?)
What happens when it is ordered in utero?
The Ultimate Quantified Self
Are we ready?
9
Technology is moving a bit faster than our underwriting or actuarial pricing practices
After all we still need to know whether an “advance” actually results in better
outcomes
The promise is certainly there for improvement in quality of life, treatment and
monitoring of disease, and comfort for those who are ailing
But will those improvements significantly move he needle for the general
population? For the select underwritten population?
Will life span increase?
BTW: If the first person to live to 150 is already alive… who is going to sell them an annuity?
Stay tuned, we’ll be keeping an eye on results…
11 Informed decisions.Improving lives.
Electronic Health Records
Objectives
Drivers behind Electronic Health Record Revolution
American Recovery and Reinvestment Act
Health Care component/EHR focus
Timeline/Stats
Access to the Data
Impact to Life Insurance Industry
Impacts to current processes
How it impacts carriers, brokerages/agencies, Chief Underwriters, and
production underwriters
Next Generation-EHR Opportunities of the Future
Data, Data, Data
13 Informed decisions.Improving lives.
Understanding the Lingo
Health Care Reform (HCR) vs. American Recovery and Reinvestment Act (ARRA)
Reform vs. Stimulus
Health Information Technology for Economic and Clinical Health (HITECH)
Framework and Incentives around EHR adoption and meaningful use
Meaningful Use & Continuity of Care Document (CCD)
Electronic Medical Records (EMR) vs. Electronic Health Records (EHR)
Current process vs. Future
Health Information Exchanges vs. EHR Platforms
Subscription requirements vs. transactional/Full solution vs. Cloud based
Personal Heath Record (PHR)
15 Informed decisions.Improving lives.
Let’s Begin at the Beginning!
The driving force behind EHR
American Recovery and Reinvestment Act (ARRA) of 2009
Under the Health Information Technology for Economic and Clinical Health (HITECH ) act, $19.2B was allocated for incentives to healthcare providers for adopting electronichealth records (EHR)
− Up to $11M in incentives per hospital
− $44,000 in incentives per physician
− Medicare and Medicaid payment penalties for not achieving meaningful use start in 2015
Stage 1
2010-2012 Data Capture Structured StorageStage 2
2012 - 2015 Interoperability Standardized DataStage 3
2016 - 2018 Improved Care Advanced InteroperabilityElectronic Health Records
The driving force behind EHR
Objectives of HITECH
− Move physicians and hospitals to embrace change
− Establish a mechanism of exchange patient medical records
− Reduce waste in the healthcare delivery system
− Improve patient care
Improve Patient Care
Increase Patient Safety
Simplify compliance
Help cut long term healthcare costs
Reduced errors
Increase Productivity
Doctors get quicker access to patient information
Quicker and more accurate diagnosis
Improve patient17 Informed decisions.Improving lives.
EHR – Rapid Adoption
Provider Adoption
Dramatic increase in EHR adoption since 2009Authorization Request Collection Cycle-time Usage Cost Authorization Request Collection Cycle-time Usage Cost Paper-wet signature Phone, fax and mail Paper, fax, image 10-14 days average Extensive manual review Per page, copy and postage
Current
Future
Electronic patient release Query request
Structured data Near real-time Rules-based review
19 Informed decisions.Improving lives.
PART I Application Completed
Day 0 Day 2 Day 3 Day 16 Day 18 Day 20 Day 21 Day 34 Day 40
PARAMED EXAM Ordered PART I Submitted to Carrier PART II Received by Carrier LAB RESULTS Received by Carrier INITIAL UNDER-WRITING REVIEW APS
ORDERED REQUIRE-MENTSADDITIONAL RECEIVED
UNDER-WRITING DECISION
Life Insurance Process – Current State
• Specimen shipped to lab • Specimen tested
• Specimen results
• Facility matched • Order sent to facility • Records verified • Payment issued • Records copied • Records mailed/faxed • Applicant contacted • Appointment scheduled • Exam completed Day 4 5 Po licy Issuance • Paperwork imaged,
reviewed and released • MVR Results
Life Insurance Process – Future State “The Happy Path”
eApplication Requirements
Ordered Policy Issued
Part I and Part II
Completed electronically Automated Underwriting Decision Underwriting Engine eINFORM Cloud
Day 0
21 Informed decisions.Improving lives.
Impacts-What will this mean to the players?
Carriers
Significant reduction in end-end CT
Reduced APS fees-move toward pure transactional basis “Say goodbye to the
copy service fees”
Increased ROI and Protective Value-increasing APS orders
Authorization changes/enhancements
Data, Data, Data
− Cracking the APS code for use in PR&D, mortality studies, enhanced underwriting risk assessments, and claims insight
Potential challenges
Not ready or planning for the future = missed opportunities
Transition phases-some electronic some “old school”
− Continued multiple requests on one applicant
What does it mean to us?
Brokers/Field Force
Significantly reduced CT; closing the sale within days vs. months
ROI –time spent tracking down records and managing status’, facility nuances,
special auth woes will be time gained to sell more business, reduction in APS
retrieval fees thru EHR platforms
Potential challenges;
Increased simplified workflows and scoring
Increased use of APS’ in underwriting processes
Reduced opportunities; CT and acquisition cost reductions, ability to leverage
data access and structured data unless partnered with an APS thought leader
that is prepared and leveraging EHR data
23 Informed decisions.Improving lives.
What does it mean to the underwriters?
Field and Home Office Underwriters
Pre-structured data ;
− Moving away from the handwritten notes
− CCD format;
• Getting familiar with formats /data • More reliance on CCD encounters
− Increased complete files on initial review
− Larger file reviews
• Productivity/Staffing model impacts
Post-automation (structured data access)
− Increased scoring systems; for the field this may mean more black box scoring
− Reduced ability to impact individual underwriting offers
− HO underwriters spending time understanding data output vs. developing data points-pure risk assessment process
Next Generation-EHR Opportunities of the Future
Data, Data, Data
EHR data that is structured yet customizable
− Allowing for flexibility in formatting data feeds ; how and what we access
− Enhanced ability to determine impairment / lab / prescription/and diagnostic testing trends over years
− Increased automation ; risk assessment tools, automation that follows manual “thought processes”, and scoring opportunities
− Protective value –incorporation of the “gold standard” of medical risk assessment within minutes
The Future of Underwriting
− Paradigm shift-moving toward simplified workflows that will incorporate full underwriting standards
− Systematic methodology that will take the vetting process to a level never
experienced; underwriting professionals making final risk assessment by assessing data output .
25 Informed decisions.Improving lives.