Analytics is a key enabler
for life sciences and healthcare organizations to create better outcomes for
patients, customers and other stakeholders across the entire healthcare
ecosystem. While almost two-thirds of organizations across the healthcare
ecosystem have analytics strategies in place, our research shows that only a
fifth are driving analytics adoption across the enterprise. The key barriers
are a lack of data management capabilities and skilled analysts, as well as
poor organizational change management. To develop and translate insights into
actions that enhance outcomes, organizations will need to collaborate across an
expanding ecosystem.
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IBM Global Business - Services
Executive Summary
IBM
Institute for Business Value
Analytics across the ecosystem
A
prescription for optimizing healthcare outcomes
Heather Fraser , Dan Gordon, John Piccone
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Overview
Analytics is a key enabler
for life sciences and healthcare organizations to create better outcomes for
patients, customers and other stakeholders across the entire healthcare
ecosystem. While almost two-thirds of organizations across the healthcare
ecosystem have analytics strategies in place, our research shows that only a
fifth are driving analytics adoption across the enterprise. The key barriers
are a lack of data management capabilities and skilled analysts, as well as
poor organizational change management. To develop and translate insights into
actions that enhance outcomes, organizations will need to collaborate across an
expanding ecosystem.
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The healthcare ecosystem
is the convergence of otherwise separate entities, such as life sciences
organizations, providers and payers, as well as social and government agencies.
This convergence, along with enhanced connectivity and mobility, has resulted
in a tremendous surge in healthcare-related data that can help create insights
and inform actions to:
·
Improve patient outcomes
·
Reduce costs for chronic
care
·
Lower insurance premiums
·
Quickly bring new and
better drugs, diagnostics, devices and therapies to the market
·
Enhance customer
engagement
·
Reduce fraud
·
Improve return on
investment.
Some of the potential
benefits from using analytics across the healthcare ecosystem are shown in
Figure 1. But to optimize the impact these insights and actions can have,
information must be shared across the entire ecosystem – a daunting task,
perhaps, for organizations that have not yet mastered sharing across the
enterprise. Based on based on a global survey by the IBM Institute for Business
Value of 555 executives across the healthcare ecosystem, organizations will
need to focus on three areas to enable such collaboration:
·
Strategy and governance:
Focus on sponsorship and enterprise-wide adoption — A comprehensive plan for
governance is a foundational to any analytics strategy. High-level sponsorship
of key analytics projects is an important success factor. A governance plan
that addresses enterprise-wide adoption is essential at the start of a project.
Organizations should target effective, predictive analytics and simulations at
senior executives who make complex strategic decisions across an organization’s
service lines, as well as key partners outside enterprise, to encourage
sponsorship from key stakeholders
·
Data and processes: Manage
and integrate data end-to-end — The ability to manage, understand and integrate
data generated at all stages of the value chain and in all formats, both
structured and unstructured – from discovery to real world use – is a
fundamental requirement for organizations to derive benefit from their
analytics strategies. Technology and cost proliferation need to be controlled
through the overarching analytics strategy. The focus should be on resolving
the business problem, not on the supporting technology. A common terminology is
required to help business and technical teams understand each other’s
analytical needs.
·
People and Organization:
Build the right skills profile to fill gaps and speed adoption — Making sure
that analytic resources have the appropriate skills profile will speed up
adoption of processes across the enterprise. Organizations and institutions
must use the right blend of both central and distributed control by maintaining
a centralized core skill set. Developing trusted partnerships across the
various stakeholders in the healthcare ecosystem can provide a competitive
advantage. No single organization has all the data or all the capabilities to
solve the healthcare ecosystem problems. Organizations need to work with data
providers to evolve the necessary data sets and meet data strategy needs.
In today’s information
age, data rules. And the organizations that can harness and share that data to
create insights, inform actions and drive better outcomes – across all the
components of the healthcare ecosystem – will be those most likely positioned
to become the outperformers of tomorrow.
Why IBM?
IBM Business Analytics and
Optimization services work with clients to gather and apply trusted, relevant
information to improve their business outcomes. Specifically for the healthcare
ecosystem we can assist you in the areas of:
·
Research Insights
·
Supply Chain Optimization
·
Commercial Analytics • Patient
Care & Insights
·
Provider Outcome Analytics
·
Payer Analytics
·
Healthcare Consumer
Engagement Analytics
·
Health Plan Risk Plan
Analytics
Source: IBM Waston Healthcare 2013