The
road to digital success in pharma
Pharmaceutical companies can play a central role
in the digital revolution of healthcare. But capturing this opportunity
requires identifying the right initiatives.
Pharmaceutical
companies are running hard to
keep pace with changes brought about by digital technology. Mobile
communications, the cloud, advanced analytics, and the Internet of Things are
among the innovations that are starting to transform the healthcare industry in
the ways they have already transformed the media, retail, and banking
industries. Pharma executives are well aware of the disruptive potential and
are experimenting with a wide range of digital initiatives. Yet many find it
hard to determine what initiatives to scale up and how, as they are still
unclear what digital success will look like five years from now. This article
aims to remedy that. We believe disruptive trends indicate where digital
technology will drive the most value in the pharmaceutical industry, and they
should guide companies as they build a strategy for digital success.
Trends reshaping
healthcare
Outcomes-based care is
moving to center stage
Payors and governments have an ever sharper
focus on managing costs while delivering improved patient outcomes, putting an
even greater onus on pharma companies to demonstrate the value of their drugs
in the real world—not just in randomized controlled trials—if they are to
retain market access and premium pricing. In this environment, digitally
enabled “beyond the pill” solutions, which include not just drugs but also
sensors to collect and analyze data to monitor a patient’s condition between
visits to healthcare providers, are becoming critical to serving both parties’
needs. These solutions help drive the adherence to treatment and outcomes that
payors and governments seek, and they generate the data that pharma companies
need to demonstrate their drugs’ superior efficacy.
Patients are becoming
more engaged
In a digital age,
patients are much less dependent on their doctors for advice, increasingly able
and willing to take greater control of their own health. They feel empowered by
the vast amount of health information available online and on apps, and by the
array of health and fitness wearables such as FitBit and Apple Watch. In one
survey, more than 85 percent of patients said they were confident in their
ability to take responsibility for their health and knew how to access online
resources to help them do so.1 In addition, patients are becoming
keener to evaluate different healthcare products and services given that they
bear a growing proportion of the costs. In a digital world, the ability to
engage with patients as they make such evaluations could be key to the success
of a pharma company’s commercial model.
New competitors are
moving in
Information and insights into patients’
histories and clinical pathways are no longer the preserve of the traditional
healthcare establishment. Where once health providers’ paper-based medical
records were the main source of patient health data, and drug research and
development data were kept within the walls of the pharma companies, today,
technology companies such as Apple, IBM, and Qualcomm Technologies are moving
into healthcare. They are able to engage with patients through apps, health and
fitness devices, and online communities, for example. And they are able to
collect petabytes of data from these and other sources, such as electronic
medical records and insurance claims, capturing valuable insights. For example,
the IBM Watson Health platform—recently at the center of a partnership with
Apple and its HealthKit health-sensor data platform—is using advanced analytics
and natural-language-processing capabilities to deliver clinical decision
support. Pharma companies will need to decide soon how to position themselves
to compete or collaborate with these new players, or build complementary
capabilities.
More information is
available about product performance
Historically, pharma companies have controlled
both the generation and dissemination of information about their products.
Digital technologies have weakened that control, opening an array of new,
independent information channels. There are online communities for sharing and
discussing patients’ experiences, apps and sensors to monitor the impact of
therapy on a patient’s daily life, and advanced data aggregation and analysis
to link disparate, complex data sets and generate new insights into drug safety
and efficacy. In response, pharma companies will have to build the capabilities
to anticipate or react rapidly to these new sources of evidence, and remain the
main source of authority on the performance of their products.
Process efficiency and
agility is improving dramatically
Advanced analytics, sensors, and the automation
of complex decisions are capable of delivering a step change in the efficiency,
speed, quality, and responsiveness of business processes in all industries. The
pharmaceutical industry is no exception. To thrive in a digital world, pharma
companies will need to deploy next-generation technologies to streamline their
business processes. They need to achieve near real-time transparency of their
clinical-trials portfolio in R&D, for example, and frictionless sales and
operations planning in the supply chain, as well as meet new expectations in
efficiency and agility from customers, employees, patients, and suppliers.
Four areas of digital
opportunity
Against this backdrop, we believe there are
four main areas where digital developments will drive value for pharma
companies, building on what we see as the key components of digital success—an
ability to deliver more personalized patient care, engage more fully with
physicians and patients, use data to drive superior insight and decision
making, and transform business processes to provide real-time responsiveness.
Companies do not have to become leaders in all
four areas across the enterprise—some will deliver more value than others in
relation to any given disease, depending on market dynamics and their portfolio.
But to decide where to concentrate their efforts, they do need to develop a
point of view on each area’s potential to transform their commercial and
innovation models. To help in these decisions, we sketch here a picture of how
we believe successful pharma companies will operate in each area in the near
future.
Personalized care:
Sensors and digital services for tailored, 24/7 treatment
The ability to personalize interactions with
stakeholders is a key value driver from digital technology in any industry. In
pharma, this value will be realized in large part through the use of sensors
and digital services to provide tailored care around the clock.
Within five to seven years, a significant
proportion of the pharmaceutical portfolio will create value through more than
just drugs. Many drugs will be part of a digital ecosystem that constantly
monitors a patient’s condition and provides feedback to the patient and other
stakeholders. This ecosystem will help improve health outcomes by tailoring
therapy to a patient’s clinical and lifestyle needs and enable remote
monitoring by health professionals of a patient’s condition and adherence to
treatment. There is already a plethora of wireless sensors on the market to
measure a patient’s biophysical signals. Combining these with other data about
patients as they go about their daily lives—nutritional information collected
by a smart refrigerator, for instance, or exercise information from smart gym
weights—will allow real-time alerts to be issued to caregivers and physicians
when there is a need for intervention.
For example, a care plan for a Parkinson’s
patient might include a medication regimen with “chip on a pill” technology to
monitor drug taking along with a smartwatch that monitors the patient’s
condition, sends him or her reminders to adhere to the prescribed treatment,
and sends the neurologist compliance and health-status reports. The neurologist
can then coach patients on lifestyle changes or even customize therapy
remotely. Such digitally enabled approaches to patient care are likely to
improve outcomes to the extent that they could become a condition of
reimbursement, particularly for expensive specialty drugs.
Several companies already offer integrated
products and services. WellDoc, for example, has launched BlueStar, the first
FDA-approved mobile app for managing type 2 diabetes, while AliveCor has built
a smartphone-based electrocardiogram. Patients take their own readings, which
can be reviewed by a remote expert without the cost and delay associated with
seeing a specialist. Many more of these kinds of products have recently been
approved or are in development.
Medication itself will of course still be
important. But it will be more personalized, targeting the needs of each
patient with greater precision than before. Advanced data analytics that mine
electronic medical records, including diagnostic results, medication history,
and genomic, proteomic, and gene-expression data will help identify optimal
therapies and predict how individual patients will respond to treatment.
Fuller engagement:
Omnichannel conversations with physicians and patients
Digital-engagement technologies open up a
whole new world for marketing, the exchange of information, and recruitment for
trials. Pharmaceutical sales reps, medical-science liaisons, and
patient-service teams can inform and influence patients, physicians, and
caregivers in person or via mobile phones, the Internet, apps, or social media.
Patients are already starting to use patient portals for their medical records
and to communicate with their physicians, and they use apps to fill scripts and
online patient communities to speak to other patients with the same disease.
Anytime-anywhere
virtual care will become increasingly commonplace. Specialist virtual-care apps
already exist. NeoCare Solutions, developed by Aetna, gives new parents
returning home with infants from the intensive care unit on-demand coaching
from a neonatal nurse. The US Department of Defense is testing robots to engage
and screen soldiers for posttraumatic stress disorder,2 while in the United Kingdom, political
parties are making promises to enable patients to use Skype to call their
general practitioners by 2020.
All of these interactions offer pharma
companies the opportunity to derive value. To realize it, they will have to
build advanced digital marketing and engagement capabilities similar to those
deployed by leading retailers, airlines, telecom companies, and consumer-goods
companies.
Data-driven insight:
Advanced analytics to increase pipeline and commercial value
Pharma companies sit on a wealth of data,
usually locked away in different technical and organizational silos. Some are
already linking and mining their data sets to improve their pipelines,
products, and strategies. But there remains a huge opportunity to create
further value from data and analytics using internal and external data sources
to drive superior results. A few examples follow:
·
In
R&D, digital discovery
and the testing of molecules with advanced modeling and simulation techniques
will be commonplace. For instance, physiological simulation will accelerate
product development, and 3-D tissue modeling will help assess potential
toxicity using computer simulation. In late development, sensor-data streams
from in vivo clinical trials captured by wearables will be factored into
registration filings and value dossiers to give an early indication of
real-world effectiveness.
·
Marketing
and sales forces will deploy
advanced analytics to understand prescribing behavior and potential patient
profiles, enabling more precise targeting of providers and increasing the
number of prescriptions filed. For example, a “patient finder” technology that
mines electronic medical records to identify sufferers from specific rare
diseases will enable sales forces and medical science liaisons to focus on
providers caring for patients likely to have those diseases, although they are
as yet undiagnosed.
·
Pharma
companies and other
healthcare players link and analyze data from insurance claims, clinics,
laboratories, sensors, apps, social media, and more in order to generate
real-world evidence about a drug’s efficacy, guiding reimbursement and clinical
practices. We envisage a world in which most care is “protocolized”—that is, in
which clinical decisions on the best treatment options are suggested to
physicians by an automated decision algorithm informed by advanced analytics.
In this environment, winning pharmaceutical companies will be those able to
influence the algorithm. Payors, meanwhile, will be able to develop new
approaches to contracting and risk sharing for specialty drugs. Payment based
on adherence or cure-rate data, or even “micropricing” based on the daily measurement
of specific outcomes and quality of life, are some of the possibilities.
Real-time
responsiveness: Automated processes to improve cost, reactions, and agility
Cloud and mobile technology, sensors, and
next-generation business intelligence will bring about a new wave of automation
in business processes—that is, streamlined, automated work flows with few
handovers and end-to-end, real-time transparency on progress, costs, and
business value. This will drive a step change in the efficiency, responsiveness,
and agility of a wide range of complex, often cross-functional, processes, be
they in the back office, the supply chain, R&D, or commercial. Banks have
shown that the processing time and costs associated with opening an account or
mortgage origination can be reduced by up to 99 percent and 70 percent
respectively, with a clean-slate redesign of these cross-functional processes
and state-of-the-art digital technology enablement.
In pharmaceuticals, employee on-boarding,
sales and operations planning, launch monitoring, and marketing-content
approval would especially benefit from streamlined, automated work flows and
increased transparency. Clinical-trial management, from recruitment to
submission, is another area that will see dramatic change with advanced
automation. Targeted online recruitment and remote-monitoring technology
(sensors, connected devices, and apps) will increasingly enable clinical trials
to take place in “real world” settings so that patients can go about their
lives with very minor changes in habits, while participating in a trial.
Greatly reducing interventions in clinics or trial sites during the trial of a
drug will reduce the burden on patients and make trial conditions more akin to
a patient’s life when he or she is prescribed the drug outside a trial setting.
Increased connectivity and automation in trial-management processes will also
enable advanced trial design and monitoring approaches. For example, sites and
sponsors can be connected in order to support the data management and analytics
required for adaptive trial designs.
Capturing the value
Most pharma companies have started to build
some digital capabilities, but talent and resources for their efforts can be
fragmented, often across hundreds of small initiatives. Without clear strategic
direction and strong senior sponsorship, digital initiatives often struggle to
secure the funding and human resources required to reach a viable scale, and
they cannot overcome barriers related to inflexible legacy IT systems. Talent
and partnerships are also critical issues—many companies realize they need to
form partnerships to acquire digital capabilities and specialist skills but are
often unclear about what kinds of partnerships to set up and how to extract
value from them.
We believe there are three strategic actions
pharma companies should take to overcome these obstacles and start on a path
that will capture value from digital.
·
Focus
on two or three flagship initiatives. It is important to place a few big bets that will each be
sponsored by a senior executive, made highly visible to the organization
throughout design and pilot phases, and lauded when early wins start coming in.
These flagships will need to be properly resourced from the start and supported
by partnership initiatives that complement a company’s existing capabilities.
The objective is to secure early success, which in turn generates the buy-in
and momentum required to drive the next wave of initiatives. The choice of
flagship initiatives needs to be based on a company’s pipeline, product
portfolio, and business strategy. Companies should therefore identify the
distinctive sources of value that digital technologies and capabilities can
create in the disease areas in which they operate, and then define the flagship
initiatives to develop solutions for two or three specific use cases. For
example, a flagship initiative could be building a digital ecosystem (a
solution combining sensors, apps, and services) for patient adherence to an
upcoming oncology blockbuster launch drug (the use case).
·
Run
collaborative experiments, and then scale what works. Companies cannot be expected to know in
detail up front what a winning solution looks like for any particular set of
assets in any particular market. For example, it is not possible for a company
to design from A to Z a digital medical-affairs ecosystem on paper without
experimenting with different channel platforms and content types to understand
how key opinion leaders prefer to interact with the company. Hence, companies
need to set up the right environment for collaborative experimentation within
the initiative: for example, by putting the right people from IT, business
compliance, and outside partners in a “war room” to run quick test-and-learn
cycles. When results are positive—patient awareness of a disease and a
particular drug increases, for instance—efforts can be scaled up. Technology
prototypes can become enterprise solutions, and new ways of working become
formalized and integrated into business processes.
·
Develop
the organization for new business models. Digital talent may be scarce to begin with, but a digital
center of excellence can help bring together what capabilities there are,
concentrating them into a critical mass and avoiding duplication of resources
across commercial and R&D. It can also run the portfolio of digital
partnerships, ring-fence funding for digital initiatives, and codify and export
learnings from pilots across markets. In this new world, it will be vital that
IT evolves to be able to manage faster experimentation cycles, while still
managing the legacy estate for cost and reliability. This should lead to a
two-speed IT function,3 where “fast domains” operate with
different skills, architecture principles, budgeting, and planning cycles to
those that exist in “legacy domains” that remain focused on enterprise resource
planning and traditional business applications.
We have outlined the four areas in which we believe digital will
drive the most value for pharma companies. The areas leverage digital
innovation to make products and services more personalized, physicians and
patients more engaged, decisions and product evidence more data driven, and
business processes more immediate. To capture this value, each company will
need to consider how its businesses are set to be affected by the digital
changes under way, and then chart its own course accordingly. A better
understanding of what digital success looks like will help companies get to
their destination: improved innovation and commercial models for pharma
companies and better care for patients.
By David Champagne, Amy
Hung, and Olivier Leclerc
http://www.mckinsey.com/Insights/Pharmaceuticals_and_Medical_Products/The_road_to_digital_success_in_pharma?cid=digital-eml-alt-mip-mck-oth-1508
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