healthcare connected: the state of digital health in 2015

The recent evolution of mobile health (mHealth) is fueling a

revolutionary shift; healthcare has transformed what was once a

provider-centric industry into a collaborative, patient-driven system

of engagement. Emerging technologies are restructuring traditional

paradigms to create more efficient, effective ways of engaging

patients in their own care, and managing and sharing medical

information across all levels of the healthcare ecosystem.

According to recent reports, the mHealth marketplace reached $2.4

billion in 2013 and is projected to grow to $26 billion by 2017. As the

advantages of integrated digital health solutions continue to heighten

consumer expectations, the value of implementing these engaging

experiences will also rise — as will the advantages of being the first to

get it right.

In order to position for long-term mHealth success, key players

in the healthcare space will need to adopt digital health solutions

that mobilize and personalize medical processes, with a focus on

improving patient-provider communication and relationships. At the

very least, it’s imperative all stakeholders are prepared, willing and

able to adapt.

In preparation for 2015, we asked our community of healthcare

experts what’s working, what’s not and what’s next for the future of

mHealth. You’ll find their answers in the following pages.

INTRODUCTION

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“”

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Given all the innovation you see in the digital and connected health space, where do you think people are hitting the mark? Where are they missing it?

Hits:

People are getting closer to hitting the bullseye of digital health

solutions that emphasize personalization and segmentation over a

one-size-fits-all approach. Providers and payers finally understand

what marketers have known for years — that segmentation guides

the path to customer intimacy.

Key to well-executed segmentation is data that can provide insights on how each individual and group is separate and distinct from the next.

Principal Healthcare Strategist, Mobiquity@handsontel

NiravDesai

https://twitter.com/handsontel

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Retrofit, for example, breaks weight-loss seekers into different

segments and creates weight-loss plans tailored to each segment.

In doing so, they’ve delivered a critical success metric in weight-

management solutions: sustained weight loss of 10% over 12 months.

Misses:

Apart from taking the flawed one-size-fits-all approach, most

people are failing to make digital-health data both meaningful and

actionable. They struggle to extrapolate the right insights from

data, or to present these insights in a useful and cohesive way.

For example, among the reasons the popular sleep monitor app

Zeo failed was that while it helped people better understand their

sleep patterns, it provided limited direction and analyses critical to

making a change. Similarly, the reason most fitness wearables see a

70% drop in usage within three months stems from a lack of clear,

actionable insights. In the absence of meaningful information, data-

collection efforts begin to overshadow any benefits, at which point

users will abandon tracking devices.

What do you foresee as the top three trends for digital and connected health in 2015?

Successful models take hold. The contours of successful digital-

health solutions will become better defined by both new successes

and new failures. In 2014, we saw the demise of Aetna’s CarePass

as well as the launch of Apple HealthKit. In 2015, we will start to see

which business models are most likely to succeed (currently the bet

is on infrastructure providers like Apple’s HealthKit, Qualcomm’s

2Net, or Validic), who people are most willing to trust with digital

data and what clinical areas prove to benefit most from digital-health

data (as opposed to those that fear the time demands and liability

risks associated with collecting, managing and reacting/not reacting

to data).

More regulated apps emerge to rise above the unregulated fray. Organizations will realize they can eliminate much of the competition

if they’re willing to put in the extra infrastructure and effort to add

features to design a digital-health solution that’s compliant with

regulatory oversight (e.g., FDA 510(k) clearance). From a capability

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perspective, doing so will enable richer and more sophisticated

features, while from a marketing perspective, these features can

enable a value proposition more relevant than the commoditized

messaging of most unregulated solutions.

Organizations finally gain big data insights. At Health 2.0 2014, big

data sessions easily received the most attendee interest. We are only

scratching the surface of what can be discovered and accomplished

as insights emerge from mashing up users’ demographic, health,

purchase, lifestyle and social data. 2015 will bring truly incredible

insights that will change the game for solving healthcare challenges.

What are your top three Do’s and Don’ts for people interested in digital-health solutions?

Do:

• Figure out how to make healthcare addictive for the particular

market you’re trying to serve.

• Go “beyond the data” and figure out how to make it meaningful

and actionable.

• Act quickly to ramp up your experience.

Don’t:

• Take a one-size-fits-all approach.

• Be afraid to fail. Many people are trying and failing, but each

failure helps them get closer to the outlines of what will succeed.

• Ignore the context of the healthcare industry, such as regulations,

policies, economic factors and stakeholder incentives to support

and/or use your solution.

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Hits:

Telemedicine has had significant impact in the world of population

health management. Organizations have realized the huge impact of

remote monitoring as a means of improving healthcare delivery.

Studies are now demonstrating that high-quality low-cost healthcare can be delivered remotely, and several organizations have already shown impressive results from integrating new technologies...

Studies are now demonstrating that high-quality low-cost healthcare

can be delivered remotely, and several organizations have already

shown impressive results from integrating new technologies, including

Chief Medical Officer, Mobiquity

SteveFerzoco

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reduced hospital readmission rates and improved patient compliance.

Misses:

Wellness apps and sensors. While there has been significant adoption

in these two areas among dedicated athletes and weekend warriors,

user demographics seldom include the target population with the

potential to make a major health impact. Greater attention needs to

be on the at-risk patients: the non-compliant obese diabetic heart-

failure patient, rather than on the 23 year-old triathlete.


Greater focus on digital-health management tools. Medical

organizations and insurers will be looking to develop common tools

and methods to build architecture that supports stronger healthcare

and patient accountability.

Big data and analytics. With mobile devices and sensors generating

a tremendous amount of data, there will be a huge push to gather,

coordinate and apply meaningful analytics. Predictive analytics will

become a powerful tool for healthcare providers and insurers alike to

promote significant change in patient lifestyles.

Behavior-change opportunities. With the recent mHealth explosion,

researchers are becoming increasingly focused on the untapped

potential of their devices to make an impact. Assessing behavior

change can provide programmers the value of a device as well as

feedback as to which methods are generating the greatest results in

patients.

What are your top three Do’s and Don’ts for people interested in digital health solutions?

Do:

• Understand key pain points. Be specific. If the solution is too

broad based, it is unlikely to be widely adopted and unlikely for it

to have any meaningful impact.

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• Keep the patient in mind. Solutions should be patient-centric and

rooted in behavior change. An excellent user experience will also

separate your application from others.

• Keep the providers in mind. If you are developing a physician-

based solution, find out where their needs are first. Physicians

already feel there isn’t enough time in their day. If a device or

application makes them feel inefficient or provides them useless

data, adoption will be non-existent.

Don’t:

• Make mHealth one-size-fits-all. Different patients will respond

to applications differently. Successful behavior change

applications should allow different methods of interaction and

be customizable. Those that allow gamification and social media

interaction will be more successful and have higher adherence.

• Make applications that are stand-alone. Given the tremendous

amount of data being generated by mHealth, researchers are

realizing the need for integration. Data that gets generated and

siloed may fail to have significant impact.

• Forget regulatory requirements. While the early days of mHealth

were like the Wild Wild West, today’s developers must be aware

of and plan for regulatory specifications such as security, HIPAA

and the FDA.


Hits:

We are seeing truly amazing innovation in all different types of

patient to provider communication systems. Convenient alternatives

to complex visits, such as CareSpan, as well as acute symptom

diagnoses and treatment solutions like Zipnosis are all increasingly

going to be managed by a combination of machines (e.g., Geppetto

Avatars) and remote clinicians. We’re also seeing interesting

advances in the use of complex data sets to integrate and manage

information from various sources, which in turn leads directly to

actionable workflow steps. These solutions are gaining popularity

among case managers in accountable-care organizations.

Misses:

Despite numerous existing tools and announced efforts to adopt new

approaches, we’re not yet close to a health-technology landscape

where patients have access to their comprehensive data from

across the many silos of healthcare. We believe that remains the

biggest struggle for the next few years. Both big-ticket platforms

like HealthVault and HealthKit, and smaller scale solutions (e.g.,

iBlueButton, CareSync, Prime), however, are working hard to fix that.

Co-Chairman, Health 2.0

MatthewHolt

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What kinds of players do you think will be the big winners in this space? Small innovators? Data aggregators? Traditional players? Large corporations who have not traditionally been in healthcare?

There’s great excitement — again — surrounding large corporations

entering the healthcare space. This time it’s the big smartphone guys

Apple and Samsung, and by no means the first time in tech history

large companies have stepped in to help.

In general, we expect the payers and providers already operating

within the largely regulated and mostly government funded industry

to continue to call the shots for the foreseeable future. They’re

increasingly going to work with smaller technology providers to

employ solutions that address current pain points within existing care

frameworks.

Kaiser Permanente is currently using tools for diabetes prevention

(e.g., Omada Health) and mental health tracking (e.g., Ginger.io).

Meanwhile Health 2.0 is managing Pilot Health tech for the New

York City Economic Development Corporation, in which two classes

of 10 providers are each working with small innovators to test new

tools around issues like readmissions and patient engagement

(Sense Health), compliance management (AdhereTech), and remote

dementia care monitoring (Gerijoy). Expect to see a lot more of this

activity in the future.

...healthcare isn’t one single, huge market. It consists of hundreds of larger interconnected segments. As long as provisions remain regionally fragmented and regulated, the notion that we’ll recognize one overarching winner anytime soon is unlikely.

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Hits:

Industry collaboration. Overall, I think the current players in the

digital and connected health space are off to a good start. Thought

leaders and professionals from a variety of disciplines and industries

have converged to tackle the complex problems and challenges

facing today’s healthcare systems — and the technology, people and

processes within it.

Improved, integrated infrastructure. On the technology front, for

example, cloud service providers such as Amazon and Rackspace

are making great strides towards building infrastructure services that

are appropriate for storing and managing healthcare information in a

safe, secure, private and reliable manner. As the major stakeholders

in healthcare begin to trust and utilize cloud services more and

more, we will see major advances in the ability of healthcare IT

applications and devices to be able to connect to one another in a

truly interoperable fashion.

Principal Systems Architect,Healthcare Mobiquity

BrianIoele

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“

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Misses:

Building confidence in healthcare data privacy and security.

Although significant progress has been made towards developing

security and privacy mechanisms for the creation, storage and

transfer of healthcare information between applications and

connected devices, we still have far to go before we’re able to

demonstrate to consumers that their healthcare information is

consistently being managed properly.

I believe there is still a lot of work that needs to be done to create digital health solutions that provide patients and physicians with mobile access to real-time information across the healthcare continuum, in a manner that’s both digestible and actionable at the point of care.

Focusing on smart form factors only. I fear that there may be too

strong a push to develop digital health solutions for smartphones

and smart devices alone. Solution providers will also need to pay

close attention to other technologies, such as more basic phones

and/or other less capable yet easy-to-use devices that appeal to

certain patient populations. For example, seniors or individuals with

impairments may depend on devices with more simple form factors

(e.g., the Jitterbug cell phone).


• An increasing rate at which wearable devices and remote sensors

are made available to consumers, particularly those that can

connect to existing gadgets like smartphones and other mobile

devices.

• An increasing level of sophistication among the capabilities of

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wearable sensors and devices made available to consumers.

• An increase in the number of new innovative combinations of

consumer wearable devices and sensors that utilize and cross-

reference data from multiple data sources to deliver value to the

end user.


For those designing and building connected health solutions:

Do:

• Keep it simple in terms of design and application.

• Design for ease of use, quality of information and reliability.

• Treat data from digital health solutions with the upmost respect

and care it deserves. Always consider how you would want your

own personal health data to be managed by the solutions you

build.

Don’t:

• Design solely for smart mobile devices. Keep more basic simple

phones and tablets in mind as well when designing your solutions.

• Assume all electronic healthcare data derived from data sources

is clean and without error. Make sure your solutions allow the end

user to have a say in correcting information, or give them the

ability to alert members of their care management team using

data that’s created or modified by your digital health solution.

• Forget that technology is only one part of a digital health

solution. People and processes are other important aspects that

need to be given careful consideration and respect when building

digital health solutions.

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Given all the innovation you see in the digital and connected health space, where do you see we are missing the mark?

One of the things we need to get right is creating a frictionless user

experience, meaning a device should not require a user manual.

Anyone and everyone should be able to pull a device out of the

box and use it without major headaches. We have to make personal

health technologies very user friendly.

I also contend that patients with a chronic illness are unlikely to use

apps or mobile health programs that require them to input their own

data. In one example from our work at the Center for Connected

Health, we even had difficulty getting patients with high blood

pressure to push one button once a day to participate in a doctor-

recommended program.

Most important, we need to find a way to motivate patients to self-

manage their health. We have to make health technologies personal,

motivational and ubiquitous.


Engagement, engagement and engagement. Personal connected-

health technologies need to be designed for and adapted to engage

and motivate individuals, and keep them engaged long term.

VP, Center of Connected HealthPartners HealthCare

JoeKvedar

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“”

Greater focus on integrating personal connected-health technologies

in real-world clinical practice to improve outcomes, increased patient

satisfaction and engagement and reduce healthcare costs.

Larger contributions from big players. Major consumer goods

companies are jumping into mobile health with both feet, as are

pharmaceutical and life sciences companies, to integrate mobile

health technologies in clinical trial support, as well as patient

engagement, medication adherence and loyalty programs.


As these consumer goods giants enter our world of digital health, developers must not assume that what works for consumer goods will easily translate to mobile health.

Our challenge in healthcare is that people tend to be less committed

to what they need to do to improve their overall health, like being

more active or eating healthier. As a result, it’s a real challenge to

create a health app or device that sticks — one that people will use,

and continue to use, to stay on track with their health and wellness

goals. And, again, we need to make health technologies personal,

motivational and ubiquitous.

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Hits:

• Improvements to information-gathering capabilities

• Turning data into actionable insight at the point of decision with

analytics

• Working with end users to generate valuable insights

• Measuring the impact/effect of programs/actions taken

• Using outcomes to improve processes, programs and solutions

Misses:

• Setting clear, aligned and realistic expectations

• Incentives are not aligned across stakeholders (e.g. consumers,

employers, providers, payers, etc.)

• Underestimating the time, cost and effort involved in scaling what

works

• A need for clearer transition strategy, tactics and roles

CEO & Founder,Health Innovation Partners LLC @pjmachado

PauloMachado

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https://twitter.com/pjmachado

“”

• A lack of data interoperability is preventing population health

from reaching its potential


• Continued explosion of activity across all digital areas by

providers, payers and consumers

• Digitally driven transparency will increasingly drive consumer,

provider and payer behaviors

• A continued lack of clarity around the impact of deployed digital

solutions, in terms of cost/benefit, casualty and correlation

What are your top three takeaways for people interested in digital health solutions?

Gain a deeper understanding of workflow, life flow and cash flow before creating new solutions.

• Focus on solving problems that customers need to address now,

or in the near future

• Have a clear idea and roadmap of your commercialization

strategy and tactics before beginning implementation

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“”


Hits:

I’m getting very excited to see the transformation of health in this

country. Diagnostics, for example, are certainly hitting the mark.

There are so many wonderful diagnostic tools using sensors,

biomarkers and even simple ecological self-reporting to collect

information and provide relevant, valuable feedback.

These tools have revolutionized ambulatory assessments and will continue to change diagnostics and early disease detection in every domain of health and wellness.

We’re also now seeing objective mobile assessments in the mental

health space, which is exciting.

Director, Digital Health Interventions North Shore-LIJ Health System

FredMuench

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Misses:

From my perspective as a behavioral scientist that focuses on digital

interventions, I think we are missing the mark in a few ways, but

among the most notable is in our obsession with visible data as an

intervention in and of itself. We’ve paid too much attention to peak

performers, and not enough on treating those in poor or moderate

health. Data drives all — and will provide crucial guidance at specific

points throughout the change process (e.g., in raising awareness) —

but it doesn’t have to be visible at all times, especially for those with

chronic conditions who are prone to failure in meeting their health

goals. Receiving daily feedback that you’re not meeting your goals

is demotivating, even when the it is accompanied by encouraging

messages. Data-based feedback should be driven by a range of

targets that include an interplay between meaning, severity, efficacy,

goal revision, reinforcement theories and more.


Passive data collection beyond activity and movement. I think we

will see much more complex streams of mobile phone data beyond

traditional metrics, such as ambient sound sensing and mobile

analytics to drive behavioral interventions.

Wearables that deliver interventions. We will see more focus

using the data from the phone to trigger interventions but also an

emerging base of stimulation interventions embedded in wearables

that deliver treatments (e.g., low intensity electrical stimulation). In

time, these may start to compete with medications as a first line of

treatment.

Recognition of caregivers and care managers to drive behavior

change using collateral assessment and interventions will continue

to grow in importance. Some of our latest research has focused

on understanding communication patterns of individuals who are

attempting to help motivate another person, and how to strengthen

connections using technology. There is still much work that needs to

be done in this space.

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Do:

• Focus on the lowest hanging fruit to foster change. We have

tremendous computing power and new tools (e.g., machine

learning) but sometimes all we need is a personalized reminder

to drink less at the moment we walk in the bar. Simplicity

in the intervention doesn’t mean you have to sacrifice data

personalization and timely interventions.

• Focus on lowering burden more than anything. Burden kills

interventions even for the highly motivated after a while.

• Focus on consumer preferences for intervention targets and

reinforcers. While success of an intervention cannot always be

predicted by offering interventions based on one’s preferences, it

is often the case that failure can be predicted by ignoring them.

Don’t:

• Think your intervention is ever finished. Your assessment or

intervention is never “done” as long as you’re receiving new data

to iterate.

• Believe everyone wants a leaderboard. Too often we are

overusing behavioral strategies, like competition and social

translucence, for health and wellness.

• Underestimate how much providers may fight against adopting

technologies that either increase their workload without pay

or threaten their job security just because it helps patients.

Most providers are kind, altruistic people who went into this

field to help others. They are now facing the possibility that

some technologies have the technical power to replace their

capabilities, after they’ve committed their lives to helping others.

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“

”

As a clinical psychologist, I have always said my job is to become superfluous. However, it was under the assumption if that happened, we would be living in an age of enlightenment rather than unemployment. It is a very confusing time for many providers across all health disciplines, and we shouldn’t dismiss their concerns.

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Hits:

• Non-traditional healthcare players are finding new ways to

engage consumers around fitness, diet, mood, etc. through their

connected devices and apps (e.g., Fitbit, Jawbone, MyFitnessPal,

Omada, MoodPanda and many more).

• Some of the leading healthcare providers (e.g., Mayo, Cleveland

Clinic, Kaiser and Geisinger) are innovating around the overall

patient experience, both inside and outside the clinical

environment.

• Aggregators like Healthkit, GoogleFit, Sami, 2Net and Validic are

beginning to fill gaps within the public health records (PHR) layer

that connects everyday activities with patient data from medical

health records (e.g., EMR/EHR).

• Public-cloud providers like Amazon Web Services (AWS), Azure

and Salesforce are stepping up to meet HIPAA requirements,

providing better economics for deploying connected health

solutions at scale.

• Some companies have been able to gain reimbursement from

payers (e.g., Welldoc, Propeller, IBGStar) based on showing a

positive impact on specific health outcomes.

President & Chief Strategy Officer Mobiquity @snyder4g

ScottSnyder

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https://twitter.com/snyder4g

“”

Misses:

• Pharma companies continue to struggle to engage patients long

term via mobile solutions. Although over 250 pharma apps have

launched in the mobile marketplace, average downloads for each

remain around 1,200.

• There is too much noise in the mHealth space. There are currently

over 40,000 medical apps available for download, yet only a

small percentage provide real benefits and are used on a long-

term basis. 50 percent of users will discard an app within the first

60 days post download.

• Small mHealth companies are not effectively scaling to large

patient populations. In order to get there, they’ll need the support

of larger players with greater resources.

• Most healthcare providers are still not fully leveraging digital

to deliver a better patient experience and lasting, measurable

outcomes.

Very few players are achieving long-term behavior change around key chronic disease areas.

• The caregiver continues to be ignored as a key digital user in the

development of most apps.

• Payers have not yet been able to leverage historic medical data

to help improve patient engagement and outcomes. Aetna, for

example, recently closed down its CarePass web and mobile

experiences rather than further investing in the platform.

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• A breakthrough in digital therapeutics. We’ll see many more apps

being reimbursed by payers as we achieve more data regarding

specific measurable outcomes and successful case studies.

• Curated apps stores endorsed by large healthcare providers

will cut through the noise to recommend mHealth apps for both

patients and doctors.

• The integration of lifestyle and health profile data to drive more

personalized and relevant interventions, long-term outcomes and

lasting behavior change.


Do:

• Build solutions that solve a user’s specific problem (e.g., managing

a given condition or weight-loss goal) rather than aim to just sell

your product or service

• Create an ecosystem of partners who enhance your offerings with

innovative solutions that engage users and provide richer data

and insights

• Consider the entire care circle surrounding patients when

designing solutions (e.g., patient, caregiver, friends, family,

physician, pharmacist, etc.)

Don’t:

• Capture data without a clear communication of benefit for the

end user.

• Rely on the same privacy models used in web-based platforms

for mobile devices. They are completely different; security

implications should be handled separately.

• Deploy technology that users don’t want to use, or that require

new devices, websites, etc. rather than meeting users where they

are and leveraging what they’re already using.

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Hits:

The strong focus on wearables and connective devices is the right

direction. The opportunity to provide targeted measures, data,

impacts and outcomes to individuals using connected technologies

is enormous. When properly used, wearables have the benefit

of collecting previously uncollected information that can target

and support more effective health outcomes. At present, we’re

seeing outcomes targeted at general health and wellness, such

as monitoring steps for activity level, calories for diet and sleep

for productivity. Individuals can now better understand how their

behavior, environment and context directly impact their health.

Couple this with mobile solutions that support positive behavior

change and you get the framework for a healthier population base.

Misses:

There are too many fragmented solutions. An individual patient

navigating the mobile health landscape with a chronic health

condition or acute illness must utilize many varied and non-

integrated solutions to frame their situation, provide guidance and

monitor outcomes. Patients ultimately want a connected experience

with everything in one place. A viable solution should provide a one-

stop tailored approach to their specific situation and condition(s).

Delivery Director, HealthcareMobiquity

BillTruhe

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“”

Today’s avenues for digital health support vary for each provider,

payer, manufacturer, third party organization and end user. To get

results, a patient must review an overabundance of information and

make a determination of value before developing an approach to

health management that effectively leverages the diverse sources

and content. This approach is as complicated as it is inefficient; it

barely scratches the surface of the available information, provides

little feedback on quality and does not discuss how patients can

apply this information toward their unique situation.

Finally, due to the lack of access to medical health records, most

people don’t even know the depth of their medical condition and

situation. For healthcare to be personal, actionable and fit into

the mobile environment, patients will need the ability to collate

and consolidate information specific to their situation and then

understand how this information impacts their individual care and

support they receive.


The continued proliferation and integration of wearables. Today the

impact of wearables on health outcomes outside of general fitness is

questionable, but there is a strong belief that they will have a positive

impact down the road. When data collection integrates contextual

data such as weather, schedule and location with sleep and activity

information, and then includes clinical vital signs such as heart rate,

respiration, oxygen levels and temperature, we will start to see

stronger clinical correlations, behavior change and outcomes.

With greater data collection and exposure, users will be better able to correlate and predict outcomes.

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Pharma finally making an impact and finding mobile success. Large

pharma is continuing to explore mobile solutions. The concern

thus far has been a lack of reliable market testing, and therefore

limited clinical and market-based data required to support large

investments. Once a strong and successful test is documented, the

rush to market by the pharmaceutical industry will be immense.

Bringing EHRs to the patients in a usable, valuable way. The

connected patient wants more information about their specific

medical situation. Today, most patients have never seen nor read

their own paper-based reports let alone reviewed their EHR. In fact,

for most people doing so would be a waste of time, as today’s health

records are not worded or constructed for the patient. Once we are

able to properly present electronic health records in a digestible and

meaningful way, the value to each patient will be enormous.


Do:

• Get healthcare providers to endorse/adopt or prescribe your

solution

• Integrate and leverage already-in-play healthcare digital

successes and well known brands

• Know you healthcare audience — specifically at the level of

condition and disease state

Don’t:

• Just follow the “regulations” on healthcare data security and

privacy, think ahead and go beyond the current regulations

• Shy away from mobile solutions that require regulatory approval.

This could pose a competitive advantage

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The healthcare industry, though a heavily regulated and complex

web, is at its core a human-centered industry. Physicians, payers,

providers, patients, caretakers, technologists and all stakeholder in

between are motivated by some variation of the same question: How

can we provide and/or receive the best possible care, as efficiently

and effectively as possible?

The future of healthcare hinges upon our ability to set and reach

goals along the following key themes:

• Continued inter-and-intra-industry collaboration

• Streamlined communications and telemedicine capabilities

• Leading with a patient-centric, data-driven approach

• Personalized healthcare through more integrated solutions

As evidenced by industry experts in the previous pages, there

is no clear-cut answer or one-size-fits-all approach to improving

healthcare. Instead, there are a number of solutions that will

continuously push the needle towards better diagnostics, treatment,

payment and care — and the power to develop these solutions rests

quite literally at our fingertips.

KEYTHEMES

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While mHealth technology has come a long way, it remains largely

a work in progress, albeit one with unprecedented potential and

immediate value. Reportedly 60 percent of users who use mobile

apps to monitor health and fitness never share data with their

doctors. Despite underwhelming adoption and utilization rates across

the board, patients (and/or caregivers) are ready and willing to bring

quality, trusted care to their trusted connected devices. They want

the benefits of a clinical environment in the comfort of their living

room — without sacrificing privacy, quality and expertise. In the not

too distant future, they’ll have just that as transformative mHealth

solutions deliver new and unprecedented value across healthcare

ecosystems.

At Mobiquity, we’ve designed, developed and deployed a full

range of integrated connected-health solutions using emerging

technologies, such as sensors, voice agents and new interaction

models, that meet HIPAA, PHI and FDA regulations. Our community

of mobile visionaries and healthcare experts is committed to pushing

the envelope of possibility to create more engaging and mutually

beneficial experiences. Most importantly, we believe the key to

building impactful solutions is a deep understanding of the past,

present and future landscape. We’re dedicated to providing the

enterprise counsel and advice necessary to creating mobile initiatives

that seamlessly enhance and support existing procedures to bring

the systems doctors, patients and providers have trusted and relied

upon for years forward into a mobile-dependent future.

© 2015 Mobiquity, Inc. All brands and products are the marks of their

respective holders.

CONCLUSION

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healthcare connected: the state of digital health in 2015

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