developing a business model and it foundation for digital healthcare version 3
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Developing A Business Model and IT Foundation for Digital
HealthcareMichael Ali and Eric Plummer
April 2016
I. Introduction The business case for digital healthcare derives from the need to continually deliver
better value at lower cost The healthcare industry is migrating toward measuring
value by using ob!ective measures of bene"cial results for the patient# which $%&
calls 'competing on outcomes( )$%&a* There are a number of case studies
demonstrating that outcomes+based healthcare wor,s for the patient# the provider#
and the payer )$%&b* The &artner &roup )&artnera* states 'The successful
transformation of the industry to a consumer+centric# value+based delivery model
depends upon healthcare digitali-ation#.and the means to leverage /T to achieve
uality outcomes at lower cost( This paper proposes an approach to creating the
business model and enabling /T infrastructure that can serve as a foundation for
achieving digitali-ed healthcare
II. Business Case for Digital Healthcare The business case for digital healthcare derives from the need to continually deliver
better value at lower cost The healthcare industry is migrating toward measuring
value by using ob!ective measures of bene"cial results for the patient# which $%&calls 'competing on outcomes( )$%&a* %ompeting on outcomes reuires the
following business capabilities
a 360 vie of the patient! ideally# every interaction with a patient is
captured# from prevention and wellness# to diagnosis# to intervention and
therapy# to treatment and monitoring /nteractions include the various
channels such as the pharmacy# in+ and out+patient care# emergency room#
self+service perhaps via mobile3# etcb Anal"tics identi"cation of patterns and trends# modeling and decision+
support# ideally with the option of leveraging machine learning
c #o$friction interface %eteen partners! patient data needs to beaccessible across 1st# 2nd# and 4rd level service providers# payers# suppliers#
etc
There are a number of case studies demonstrating that outcomes+based healthcare
wor,s for the patient# the provider# and the payer )$%&b* 5owever# achieving the
enabling capabilities reuires that each of the players in the value chain have a
vision# strategy# and plan for creating a digital business model and the aligned
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/nformation Technology /T3 infrastructure enabling that model /n many cases#
developing a business model and enabling /T is a transformational eercise /n any
transformation# the "rst step is to determine the end+state vision ie# 'if you don7t
,now where you7re going# you will probably end up someplace else(3 /n 8ections ///
and /9 we present an approach and an eample for creating this vision /n 8ection
///# we layout a digital business model and in section /9 we layout the enabling /Tfrom a logical architecture# process# organi-ation# and governance standpoint :e
are leveraging an approach developed over the past 20 years at M/T7s %enter for
/nformation 8ystems ;esearch %/8;3 )M/Ta* and used by one of the authors Ali3 at
large multi+national enterprises such as and ;over# 5arman
/nternational# ?8
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that wor, within one layer of the architecture e with one or two applications3 but
also teams that can wor, across multiple layersapplications to create complete
solutions
Infrastructure / (perations! responsible for the day+to+day running of
applications# des,topslaptops# mobile# servers# storage# and the networ,
-rogra) Manage)ent! processes for program management Programs consist
of multiple pro!ects that need to be coordinated to achieve an outcome Programs
reuire a process distinct from pro!ect management# with emphasis on ris,
management and governance to ensure success
Agile! %reating applications across the typical multi+tier architecture shown earlierreuires software development techniues that can handle compleity# incomplete
andor evolving reuirements# fast chec, and ad!ust cycles Agile software
development# which has been in eistence almost 20 years# is the preferred
approach to meet these needs
ITI#! The /T /nfrastructure >ibrary is a set of processes for maintaining and
upgrading systems and software %hief among these are the 8ervice5elp Des,#
which handles end+user reuests and incidents# /ncident Management for handling
systems failures and root cause analysis# and change management for ma,ing
system changes in a safe and structured manner
D. IT -roect Invest)ent 1overnance
Maimi-ing the value of investments reuires governance to align business needs
against pro!ect investments This group must a3 set the appropriate budget for /T
pro!ects# b3 select a portfolio of pro!ects from a list of proposals# c3 trac, pro!ect
eecution against budget and deliverables# and d3 con"rm the reali-ation of
bene"ts on pro!ect completion
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*. 'u))ar"/n 8ection //# we listed three capabilities that need to be provided in digitali-ed
healthcare model Then in 8ections /// and /9# we laid out an approach and eample
to creating this model The approach is based on research from the M/T %enter for
/nformation 8ystems ;esearch and eperiences of the authors The table below
lin,s the model features to the desired capabilities
Capa%ilit" Ho achieved1
460 view of the patient The model captures interactions with the
patient via the various channels in+person and
digital3 The data is captured in the underlying
applications as shown in the application
architecture# and shared via a master data
construct2
Analytics Analytics capability is speci"cally called out in
both the %ore Diagram and the application
architecture4
>ow+friction interface with
partners
There is a portal channel provided as well as a
partner AP/ for sharing medical records
2eferences)$%&a* %ompeting on Cutcomes :inning 8trategies for 9alue+$ased 5ealth %are#
$oston %onsulting &roup# =anuary 201F
)$%&b* Alternative Payer Models 8how /mproved 5ealth+%are 9alue# $oston
%onsulting &roup# May 2014
)&artnera* $usiness Drivers for 5ealthcare Provider /nformation Technology
Decisions# 2016 &artner# =anuary 2016
)&artnerb* Match ?se %ases and %apabilites for Cperational D$M8s# &artner# August
201H
)&artnerc* A Tour of @o8> in Eight ?se %ases# &artner#
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)Plummer* Episode Analytics A 5ealthcare /nformation /ntegration Platform# March
2016 ?npublished presentation by Eric Plummer
Appendi&! (perating Model Denitions 4MITa5
Diversication lo process co))onalit"7 lo data co))onalit"8! business
units have limited commonality across customers# suppliers# andor products There
may be some shared services e human resources# and /T infrastructure such as
email and scheduling
2eplication high process co))onalit"7 lo data co))onalit"8! operations
are standardi-ed# but business units are autonomous %ompetitive advantage is
repeatable processes vs shared information
Coordination lo process co))onalit"7 high data co))onalit"8! business
units must share customer# supplier# andor product data# but eecute diBerent
processes with that data
9nied high process co))onalit"7 high data co))onalit"8! business units
are interdependent# so are organi-ed around standard and shared processes and
data