Telehealth and ubiquitous computing for bandwidth-constrained rural and remote areas
Transcript of Telehealth and ubiquitous computing for bandwidth-constrained rural and remote areas
ORIGINAL ARTICLE
Telehealth and ubiquitous computing for bandwidth-constrainedrural and remote areas
Robert Steele • Amanda Lo
Received: 10 March 2011 / Accepted: 9 January 2012 / Published online: 21 January 2012
� Springer-Verlag London Limited 2012
Abstract The information and communication technology
infrastructure available in rural and remote areas may often
not have the bandwidth to support all types of telehealth
applications; therefore, for example, some traditionally
envisaged videoconferencing-based telehealth applications
may not be able to be used or not used in their anticipated form
at this time. While the level of broadband services available
may impose limitations on these types of telehealth applica-
tions, in this review article, we identify applications that allow
the maximizing of telehealth benefits in the presence of low-
bandwidth connectivity and have potential benefits well-
matched to rural and remote area healthcare challenges. In
particular, we include consideration of how ubiquitous com-
puting might potentially bring non-traditional approaches to
telehealth that can also come into usage more immediately in
bandwidth-constrained rural and regional areas. In this article,
we review the benefits of ubiquitous computing for rural and
remote telehealth including social media-based preventative,
peer support and public health communication, mobile phone
platforms for the detection and notification of emergencies,
wearable and ambient biosensors, the utilization of personal
health records including in conjunction with mobile and
sensor platforms, chronic condition care and management
information systems, and mobile device–enabled video
consultation.
Keywords Telehealth � Ubiquitous computing � Rural
and remote � Health care � e-health � Broadband �Mobile health � Wireless health
1 Introduction
Telehealth has long been recognized for its capability to
facilitate remote care of patients living in rural and remote
locations [1]. The capabilities of telehealth are perceived to
be highly beneficial for rural communities, especially for
residents who are elderly or critically ill. As defined by
Field et al. [2], telehealth is ‘the use of information and
communication technologies to provide and support health
care when distance separates the participants’. Capabilities
and functionalities of recent telehealth applications have
dramatically improved due in part to improvements in
telecommunication and Internet technologies. In fact, what
began as simple healthcare instructions sent via Morse
Code [3] and later as voice calls over the telephone, can
now include the transmission of data that is more complex
and semantically enriched, which not only can be used to
enhance communication with and to inform stakeholders
involved in an individual’s care, but also has the capability
to carry out remote healthcare actions, and support the
making of clinical decisions, diagnoses and treatments.
Owing to the advent of computers and Internet technolo-
gies, information transmission in the twenty-first century
not only supports textual and audio messages, but also
images and videos and other varied data applications.
Telehealth as it extends to consumer-facing e-health can
also utilize ubiquitous computing technologies and
emerging systems such as social media communication and
mobile device applications.
One of the benefits that telehealth offers is the capability
to improve the quality and continuity of health services
delivered to rural and remote regions, providing better
access to specialized services in remote regions and
increased information availability [4]. It has also been
described that these applications can improve a physician’s
R. Steele (&) � A. Lo
Discipline of Health Informatics, Faculty of Health Sciences,
The University of Sydney, PO Box 170, Lidcombe, NSW 1825,
Australia
e-mail: [email protected]
123
Pers Ubiquit Comput (2013) 17:533–543
DOI 10.1007/s00779-012-0506-5
practice by facilitating continuing medical education,
contact with peers and access to second opinions [4].
Health care consumers can also benefit from telehealth; it
can minimize or eliminate unnecessary travel as well as
increase the range of professional health care services
available to individuals residing in remote regions. While
telehealth applications may promise to be a key enabler in
overcoming the rural–urban disparity in healthcare ser-
vices, there are and there will continue to be challenges to
the realization of telehealth due to the continuing relative
deficiency of information and communication technology
(ICT) infrastructure in rural and remote areas.
Existing studies investigating the enablers of successful
implementations of telehealth applications usually focus on
factors such as users’ perception and concerns, policy and
operational issues as well as degree of usability and fit with
current work processes within the healthcare sector [5, 6].
As the magnitude of the benefits provided by a telehealth
application is also dependent on its technology character-
istics and functionalities [7], any impediments preventing
those functionalities are likely to affect the application’s
effectiveness.
This review article highlights the dependency between
ICT infrastructure and potential health care services
deliverable via telehealth-enabled health systems in rela-
tion to availability and capacity of infrastructure and also
highlights the benefits ubiquitous computing and low-to-
medium bandwidth telehealth may bring. As the quality of
infrastructures available to a rural or remote community
cannot be controlled by health care providers or system
designers, it is important to understand how telehealth
potential for a rural or remote community can be maxi-
mized despite limitations posed by the available ICT
infrastructure.
2 Background
The Internet over the last decade has significantly trans-
formed the way information is transmitted [8]. It has
strongly affected the modes of communication, changing
and enhancing the way work can be carried out. Within
health care, the emergence of the Internet has transformed
the term telehealth. Telehealth no longer merely refers to a
simple phone conversation between two health care pro-
fessionals; it can also be used to describe a range of ICT
applications such as the use of videoconferencing between
health care providers located at different sites, instant
transmission of records, images and other health-related
data, the provision of home care via robots [9], the control-
ling of surgical devices from a remote location, which is also
known as telesurgery [10], or the use of consumer-facing
ubiquitous computing technologies such as smartphones,
sensors or social media for health applications [11]. Without
Internet access and its attendant support for data transmis-
sion, it would not be possible to carry out any of the above-
mentioned applications.
There are numerous telehealth applications developed to
remotely deliver various types of health care [3, 12–15]
with many of them supporting the use of telehealth in rural
or remote areas [3, 12, 15]. Numerous studies have dis-
cussed the potential of telehealth for improving the quality
of health care delivery in rural and remote areas [7, 16, 17];
however, the lack of ICT infrastructure is likely to restrict
the type of telehealth applications that can be made
available to a rural community particularly in the near
term. For example, the ViCCU developed by CSIRO
Australia for telepresence support in the emergency, high
dependency and obstetric departments between two distant
Australian hospitals requires a 100-Mbps connection at
each site [13]. A telesurgical system developed in Korea
also requires a 100-Mbps connection to facilitate data
transport between sites [18]. A study from Canada has
determined that bandwidth below 4 Mbps is unsuitable for
telesurgery; it is recommended that a speed of 6 Mbps is
the minimal bandwidth requirement for telesurgical appli-
cations [19].
While not all rural and remote communities require the
use of such bandwidth-intensive telehealth services, a lack
in ICT infrastructure can render it impossible to deploy
these specialized telehealth services in a remote or rural
area until the required infrastructure has been put in place.
For instance, areas where only a wireless or satellite con-
nection is available are likely to face more restrictions
during the deployment of such telehealth systems as these
types of connections are likely to have a narrower band-
width, as well as being more intermittent when compared
to a wired fibre-to-building connection.
2.1 ICT in rural and remote areas
ICT technologies have gained wide acceptance in urban
areas, are increasingly seen as key enablers of a national
communications infrastructure, and are to cover most rural
and remote areas. Although analogue communication
technologies such as traditional telephone line are univer-
sally available, differences in ICT infrastructure exist in
rural and urban areas [8]. While accessing the Internet or
the deployment of a telehealth system does not necessarily
require broadband access, inability to access such infra-
structure will affect the capacity and speed of data trans-
mission. Currently, there are two main forms of ICT
broadband infrastructure available to rural and remote
communities—wire- and wireless-based broadband.
Wire-based broadband has the capacity to support
bandwidth of more than 100 Mbps and can be delivered via
534 Pers Ubiquit Comput (2013) 17:533–543
123
coaxial or fibre-optic cables taking in the form of tech-
nologies such as fibre optics, cable Internet or a digital
subscriber line (DSL). Although wired broadband is
increasingly available in many urban areas, it is still rela-
tively unavailable for the majority of rural and remote
communities. This inaccessibility is largely due to the fact
that the installation of data cables in rural areas is some-
what cost-ineffective due to factors such as low population
density, distance from urban areas, as well as challenges
posed by the terrain, which may prevent the successful
installation of data cables. A significant national project
such as the $AU 36 billion Australian National Broadband
Network [20] is deploying high-speed wired broadband
infrastructure to 90% of homes in Australia and so will
overcome such bandwidth constraints for many over time;
however, this network’s completion time is envisaged as
taking until the end of 2020 [21], so there is still an
important need to consider how to most rapidly advance
telehealth capabilities in the interim and for all regions that
will not have such connectivity for far longer periods into
the future.
Those who are unable to obtain wire-based broadband
may opt to utilize wireless-based technologies, which can
support an average speed of up to approximately 12
Mbps. These technologies, such as WiMAX [22], Uni-
versal Mobile Telecommunication Systems (UMTS) [9]
and Mobile Broadband Wireless Access (MBWA) [23],
provide a relatively cost-effective solution for broadband
access. However, this technology utilizes atmosphere-born
electromagnetic waves for data transmission; therefore,
the quality and reliability of the connection may be
affected by factors such as poor weather conditions and
other atmospheric factors and distance from the nearest
tower.
Due to the challenges in establishing broadband infra-
structure in rural and remote areas, it is not surprising that
ICT services available in rural regions typically fail to
match their urban counterparts in regards to price, speed
and download limits [24]. According to the ABS 2006
census, the digital divide between urban and rural Australia
is significant. For example, in 2006, 46% of dwellings
within the Australian major cities have a broadband con-
nection versus 28% in remote Australia [25]. The per-
centage is lower in very remote Australia, with only 24%
of dwellings having a broadband connection [25].
Although more than half of regional Australia has access to
the Internet, it has been found that more than half of
regional and remote Australia relies heavily on dial-up
Internet access [25]. This problem is not unique to Aus-
tralia, with other developed countries such as Canada
reporting a similar gap between urban and rural areas due
to the lack of high-speed ICT infrastructures in rural and
regional Canada [26].
2.2 Ubiquitous computing and telehealth
In general, the provision of ubiquitous computing tech-
nologies to support telehealth has the potential to provide
several benefits to both patient and providers. The rapidly
emerging adoption of smartphones and to some extent
social media provide a significant step towards realizing
some previously envisaged ubiquitous computing capabil-
ities [11, 27–29]. Fundamentally, ubiquitous computing
technologies allow health-related communication and
processing to occur wherever an individual is in their day-
to-day lives. As such, ubiquitous computing technologies
may have particular relevance to the care and management
of chronic conditions much of which ultimately occurs in
the home or community environment, and chronic condi-
tion management often requires lifestyle change interven-
tions. Ubiquitous technologies have the potential to offer
improvements in an individual’s quality of life, especially
for older people, and also allow them to retain their inde-
pendence by having sensors assist with checking their
health status whilst at home [27]. These sensors can be
used to monitor various conditions such as cardiac symp-
toms [28] and enable transmission of other health data and
health information to the provider [27]. The use of ubiq-
uitous technologies yields several advantages for the health
system overall, as individuals can monitor their health
progress at home, as opposed to travelling to a healthcare
site and the attendant greater expenditure, particularly for
rural and remote residents, that this involves [30]. This
could assist in taking the strain off health facilities, and
with the increasingly ageing population, such technologies
could prove to be of significant benefit. Indeed, such
ubiquitous technologies are particularly advantageous for
those in rural areas, given the longer travelling distances
for health consumers to attend even local medical and
health consultations.
3 Telehealth functionalities and bandwidth
requirements
‘Store-and-forward’ or asynchronous telehealth applica-
tions [31] are those that are not required to send captured
data immediately but can send it at a later time. Real-time
or synchronous telehealth applications involve immediate
communication. A store-and-forward application is likely
to have less bandwidth requirement as compared to a real-
time system as its data are mainly stored as images or text
and data transmission can occur over a longer period of
time. However, a lower bandwidth is likely to increase the
time it takes for information to be transmitted and hence
decreasing the system’s performance. This also implies
that the transmission of high-quality images and other
Pers Ubiquit Comput (2013) 17:533–543 535
123
multimedia-based data could take potentially hours or days.
Real-time or synchronous systems [31], on the other hand,
are likely to have a higher requirement on bandwidth as
functionalities like videoconferencing require a relatively
stable and fast connection to support smooth video
streaming. Although there is evidence demonstrating the
possibilities and benefits of utilizing low-quality video-
conferencing systems over narrow bandwidths [32], these
systems are only beneficial for some consultation purposes
and may not be used to support critical healthcare decision-
making. For instance, both dial-up- and ISDN-based vid-
eoconferencing systems described in Malagodi et al.’s [33]
study failed to portray a tremor in a patient’s hands. Hybrid
systems [31] make use of both store-and-forward and real-
time communication.
The Telehealth Technology Taxonomy developed by
the Center for Information Technology Leadership
(CITL) [31] has provided a reference to the minimum
bandwidth requirement of various functionalities imple-
mentable in a telehealth application. The transmission of
textual information requires the least bandwidth; a con-
nection of less than 10 kbps can effectively facilitate the
transmission of pure textual data [31]. Real-time as well
as hybrid telehealth applications are likely to have higher
bandwidth requirements as these applications usually
involve the use of at least one form of synchronous
technology such as video- or voice conferencing. It has
been estimated that a connection of at least 364 kbps is
recommended for transmitting high-resolution video,
while a minimum of 128 kbps is recommended for the
transmission of high-resolution images or low-resolution
videos [31]. With increasing demand to deliver a wider
range of specialized healthcare services through telehealth
as well as the need to provide a stronger sense of pres-
ence in telehealth platforms, it is believed that emerging
and future telehealth systems are likely to be more
bandwidth-intensive than current telehealth applications.
Based on the bandwidth requirements provided by CITL,
the following table outlines the kinds of ICT technology
recommended to support the efficient transmission of
various types of data found within a telehealth application
(Table 1).
Clearly, the amount of bandwidth demanded by a tele-
health application depends on the type and quality of
information being transmitted. In addition, an application’s
communication complexity, which is dependent on the type
and number of functionalities it offers, can also affect the
system’s bandwidth requirement. As illustrated in Fig. 1,
Store-and-forward applications, in general, are likely to
have a lower communication complexity level compared
with real-time or patient-monitoring-based systems as
these applications do not require constant uploading and
downloading of data when compared with real-time or
patient-monitoring applications, hence requiring less
communications between sites. Such applications as patient
referral systems require high-quality large data such as
medical imaging to be sent, leading to a relatively high
bandwidth requirement.
Table 1 Minimum
recommended connection type
for different types of healthcare
data
The speeds provided are only
theoretical downlink speeds.
Due to load or users being
further away from the exchange
(cell towers in the case of
wireless connections), they are
unlikely to experience these
speed. Uplink speeds are usually
lower
536 Pers Ubiquit Comput (2013) 17:533–543
123
4 Telehealth and ubiquitous computing for bandwidth-
constrained rural and remote areas
Various specific challenges for rural health care have been
well documented in the literature, and these include bar-
riers due to geographical distance, a higher disease burden,
high-risk work, a shortage of local physicians and other
health professionals, an ageing population, lack of pre-
ventative care and wellness resources, and challenges for
effective health emergency response [34, 35].
Below, we identify a range of discrete areas of remote
and rural health care that are amenable to the application
of low-to-medium bandwidth telehealth and ubiquitous
computing technologies. It is also noted that the most
significant recent platform development in relation to the
emerging application of ubiquitous computing to rural and
remote areas is the rapid and continuing uptake of
smartphones during the last few years. There are, how-
ever, also other significant emerging developments with
a potential bearing on emerging telehealth applications
for rural and remote areas, including the increasing use
of social media, the continuing progress in sensor
technologies and improvements in video-over-Internet
technologies.
4.1 Social media for preventative health care, peer
support and public health intervention
Social media generally has very low-bandwidth require-
ments due to the typically textual nature of such commu-
nication, although audio and video resources can often be
referred to in social media communications. As such, its
application to support health care and public health in
bandwidth-constrained rural and remote areas has relative
advantages. It is applicable both in terms of bandwidth
required and also a match to some of the challenges of rural
health care mentioned below. It should also be noted that
social media usage is increasingly a ubiquitous computing
phenomenon with, for example, 40% of tweets being sent
from mobile devices by mid-2011 [36] and 40% of Face-
book use or 300 million monthly active users accessing
Facebook from a mobile device as of end of 2011 [37].
One increasingly anticipated and utilized use of social
media is to provide peer support for those with a particular
condition via online condition-specific social networks [11,
38, 39]. Such services as patientslikeme.com [40], tudia-
betes.org, inspire.com and curetogether.com already can
provide such services as physician Q&A, peer support [11]
and sharing of condition-specific news [41]. The use of
Fig. 1 Various telehealth applications and their approximate bandwidth requirement
Pers Ubiquit Comput (2013) 17:533–543 537
123
social media for public health interventions and health
education is also increasingly being explored [11, 42].
Such applications have a particularly good fit for rural and
remote community health care as they can occur at a dis-
tance (no physical interaction required), can increase health
awareness amongst residents and can provide consumer
health education and health information [43].
In addition to supporting patients, social network sites
can also be used to support physician-to-physician inter-
action via sites, for example, such as Sermo (http://www.
sermo.com). Once again, this can provide particular benefits
for physicians or other health professionals in rural and
remote areas where professional isolation is recognized as a
particular challenge [17].
The use of social media from mobile devices has also
raised its potential for usage in public health interventions
[11]. It has also been considered how the use of social
media can support more personalized public health inter-
vention [42]. The area of persuasive technology [44] also is
envisaged to likely be enabled via mobile, and as such, this
represents a potential tool for public health improvement.
The use of social media from mobile devices, given the
relatively low bandwidth requirements, may match rural
and remote area circumstances in relation to public health
messages specifically relevant to such regions such as rural
work safety information.
4.2 Emergency detection and notification
Emergency detection and notification also does not require
significant bandwidth, but could have significant and life-
saving benefits. For example, 30% of those who suffer
heart attacks die before reaching the hospital [45]. A
common aspect of life in a rural and remote community is
individuals working alone or being in areas without many
people nearby. Furthermore, often work in rural and remote
areas can be unusually hazardous [34]. These characteris-
tics increase the risk of a health emergency and pose a
particularly dangerous situation and potential longer delays
reaching a hospital for those who do experience such a
health emergency.
There has been extensive work on the use of sensors to
carry out remote measurement and capture of physiological
data [46–50]. The emergence of the smartphone also rep-
resents a profound community-wide change in this field
that appears the lead candidate platform to support and
enhance such sensor-based emergency detection and
response, both via smartphone internal sensors and con-
nected external sensors [51, 52].
The immediate detection and notification of an emer-
gency situation can offer a life-saving capability. The
ability to flag a health emergency immediately upon its
occurrence and provide the location of the individual is
already technologically achievable via smartphones or
other phones for that matter. However, smartphones can
provide superior capabilities in such scenarios, particularly
in relation to situations where the emergency makes man-
ually operating the phone impossible. In an emergency
health situation, an individual could (1) be able to operate
their phone or alternatively (2) be unconscious or unable to
activate their phone or smartphone for some other reason.
• In the case where an individual or observer of an
individual is able to use their phone or smartphone,
traditional approaches can be used such as contacting
the emergency phone number, or activating an appli-
cation on their smartphone to alert the occurrence of an
emergency to emergency responder personnel, and at
the same time, automatically providing the user’s
location information via the GPS or other location
service provided by the smartphone.
• In the case where an individual is unconscious or
unable to use their smartphone, a range of sensor-based
approaches can provide critical capabilities. It is likely
that in most anticipated configurations, such sensors,
regardless of their type, will communicate via short-
range wireless with the individual’s smartphone that
can then communicate to the remotely located emer-
gency responders. Such potential sensor approaches
could include accelerometers as have been proposed for
fall detection [53], car-based sensors to detect car
accident–related emergencies [54], or ECG, EEG or
other vital sign sensors worn by or implanted for the
individual [55, 56]. A pulse oximeter sensor, which is
able to measure heart rate, is a sensor that could be a
candidate sensor for detecting life-threatening emer-
gencies, as it has relatively advanced commercial
availability including in a convenient form [56].
Further, any sensor-based approach will detect the
occurrence of an emergency with greater or lesser
accuracy. Once such an emergency is automatically
notified, an approach to verify via text to the phone
could be enabled, allowing the overcoming of false
positives from the sensors. Multiple sensors can also
assist in detection of potential emergency situations or
of false positives. A false positive is preferable to the
failure to detect an individual’s genuine health
emergency.
While wearing some form of vital sign sensor continu-
ously may appear impractical or overly privacy–invasive,
this is not necessarily the case. Initial studies have shown
relative acceptance of the use of sensors by some at-risk
groups [47], and there are privacy-ensuring configurations.
For example, the output of the vital signs sensor need not
be transmitted by the smartphone or other gateway device.
When a potential emergency is detected due to a loss of
538 Pers Ubiquit Comput (2013) 17:533–543
123
vital sign signal, the user could be prompted via their
smartphone to confirm if this is a false alarm. Only if the
user does not ‘dismiss’, this potential alarm would the
emergency notification be then sent to the emergency
responders.
4.3 Measurement and storage or transmission
of physiological data
Once again the smartphone is the most important emerging
platform for this application of ubiquitous computing, but
is optionally combined with a Personal Health Record
(PHR) [57, 58] for such an application area.
Sensor usage for capturing physiological information is
not just of use for emergency situations but also to build up
a picture of the ongoing health of a rural and remote res-
ident. Such systems can support capture of health data
whilst in the home [59] and also whilst outside the home
environment [46, 51]. Particular sensors might be worn
only once an individual is diagnosed with a related health
problem or identified to be at-risk. For example, if an
individual is identified to have diabetes or pre-diabetes,
they might utilize a continuous blood glucose (CGM)
monitoring sensor to monitor their glucose levels
throughout the day, or if they have been identified to be at
high risk of heart attack, they might wear an ECG sensor to
monitor changes in heart beat activity and regularity. Other
examples include car-based sensors capable of capturing of
health information and vital signs information [60]. Sys-
tems to support the security and authority to access data
both at the level of access to sensor data and by practi-
tioners for access to PHR data are available [61, 62].
Further developments in relation to sensor usage for
health and physiological measurement include the Quan-
tified Self movement (quantifiedself.com), whose focus is
the usage of sensors to capture a more complete and con-
tinuous knowledge of oneself through the use of biosen-
sors. The group’s motto is ‘self knowledge through
numbers’. Other contemporary developments in relation to
mainstream use of sensors include the sharing of sensor
data that capture such physical activity as jogging or riding,
and posting such physical activity to social networks [11,
63]. Current applications of this nature include Nike? and
RunKeeper.
Such sensors can have particular applicability to rural
and remote residents as (1) it is harder for individuals to
travel to have tests done in face-to-face clinical settings, (2)
the greater potential lethality of medical emergencies is not
pre-emptively detected, managed and prevented, given the
distances to emergency treatment, and (3) the bandwidth
required for such data services is small and can be
accommodated by even low-bandwidth connectivity cov-
erage. This information can also be integrated to a PHR
allowing a capacity in theory for physician remote moni-
toring of their patient. Such an approach can allow greater
capture of health data into health records than hitherto
possible [64]. It should be noted that the transmission of
textual data, even when semantically rich and involving the
highest throughput applications, can operate with medium
bandwidths [65]. While many of the physician workflow
aspects are yet to be fully determined for such PHR-inte-
grated applications, the technical capability is rapidly being
made available and the relative benefit of their adoption for
rural and remote communities is higher than for urban
communities for the reasons given above.
Another consideration that system designers should take
into account is whether the available connection is ‘always
on’ or it requires users to ‘dial in’. Clearly, connections that
are ‘always on’ are more suitable for real-time systems
such as telemonitoring; however, with changes to the sys-
tem design, those with only a dial-up connection can still
be ‘monitored’. For example, data collected can first be
compressed then stored on the patient’s computer and can
be ‘pushed’ to the healthcare professional when the patient
is connected to the Internet.
4.4 Chronic condition care
Chronic disease accounts for over 70% of health cost and
80% of deaths in the US [66], and one quarter of those with
a chronic illness suffer significant limitations to daily
activities [67]. As such, it is the most significant category
of health problems. Chronic disease is nevertheless best
combated through lifestyle change, and this must occur
within an individual’s daily living and work environments
and not in a clinical setting.
Personal health records have the potential to assist in the
physician-guided management of chronic condition. Purely
textual PHRs can be utilized over even dial-up connections,
and low-to-medium bandwidths can also accommodate
image and audio content, although noting that the files
from some forms of medical imaging can pose large delays
for lower-bandwidth connections.
The capability of smartphones to reach individuals in
their daily lives and support m-health [68] may also
potentially assist in lifestyle change adherence and support
chronic condition management. Current studies have
shown some initial promise in relation to mobile-based
interventions for chronic condition care [69, 70]. Previ-
ously, SMS-based phone interventions [71, 72] have also
shown initial promise. Similarly, applications for smart-
phones have also been created that allow patients to better
manage their own health or follow care plans, with pre-
ventative applications also assisting patients in reducing
their chance of illness. Applications have been created that
allow patients to self-manage rehabilitation and disease, so
Pers Ubiquit Comput (2013) 17:533–543 539
123
instead of being reliant on daily visits to a health profes-
sional, patients can use the application to manage the
condition that is in turn monitored by a health professional
[52]. Instead of travelling large distances to be monitored
by a health professional, transmission of information
through smartphones enables patient’s information to be
transferred quickly and easily and supports community-
based or home-based care.
4.5 Mobile and desktop videoconferencing
For urban residents, travel to their local health care pro-
vider or specialist is typically far less burdensome than
such travel for rural and remote residents. As such, one of
the most significant benefits that can be achieved is
reducing the need for rural residents to travel to physical
meetings. At the same time, achieving this with lower-
bandwidth-requiring techniques is needed for its applica-
tion to bandwidth-constrained rural and remote areas.
Emerging technologies such as Apple FaceTime, an
iPhone video-phone capability released in 2010, have the
potential to provide real-time, mobile phone-based video-
conferencing, with potential benefits resulting from its
simplicity of call set-up and use [73]. The bandwidth
requirements of the FaceTime application are, however,
relatively high [74], approaching 400 Kbps. Another
advantage of such mobile device–based videoconferencing
is its greater support for video-based conversation with
emergency responders in emergencies inside or outside of
the home environment.
5 Discussion of real-world deployment: progress
and issues
The characteristics of the above-described emerging tele-
health applications are those of reaching the patient or
health consumer in their everyday lives. This is inherently
a characteristic of ubiquitous computing and also has par-
ticular advantages in relation to rural and remote health,
given the typically larger travel distances required to travel
to even local health facilities.
5.1 What about high-bandwidth telehealth
applications?
High-bandwidth telehealth applications such as telesurgery
[19] and telepresence [75] also have particular benefits for
rural and remote health care. However, the current lower
levels of bandwidth available in these areas will delay their
application. This article concentrates on a wave of lower-
bandwidth telehealth applications involving the utilization
of ubiquitous computing technologies that have seen
substantial recent technological uptake assisting their
deployment readiness.
In addition, another form of high-bandwidth telehealth
application involves the transfer of large medical imaging
files. It should be noted that there will typically not be a
need to transfer these from home environments, and it will
not tend to provide the benefit of less travel, as the
sophisticated imaging equipment to capture such images at
this time only exist at medical facilities to where patients
will still need to travel to have the imaging carried out. Of
course, high bandwidth to rural and remote health facilities
can realize significant efficiencies via remote assessment of
large medical images or teleradiology [76].
5.2 Potential and outlook for increasing real-world
deployment
The ubiquitous technologies discussed in Sect. 4 are all
currently commercially available, can work at low-to-
medium bandwidths, and are relatively inexpensive. This
form of telehealth has the capabilities and potential as
described, but for its further real-world deployment, it must
be integrated into practice within the healthcare system.
Two directions are needed to enable further real-world use
of these technologies: (1) government enablement through
regulatory and reimbursement changes and (2) greater
consumer awareness and demand.
5.3 Government regulatory and reimbursement
enablement
As described in this article, non-traditional telehealth
achieved through ubiquitous computing technologies has
significant potential to benefit health care in rural and
remote areas. While consumer uptake plays an important
role in the feasibility of such systems, the potential inte-
gration of these systems into clinician and health system
practices would also require further regulatory and funding
initiatives.
Recent times have seen significant legislative steps to
open the way for the utilization of these technologies in
health care particularly to support their home-based usage.
The Fostering Independence Through Technology (FITT)
Act currently before the US Senate [77] is a bill to establish
pilot projects and provide incentives for the use of such
home-based telehealth technologies. Also in the United
States, in late 2011, the US Department of Agriculture has
awarded $US 30 million of grants to support over 100
remote telehealth projects [78].
Telehealth videoconferencing [79] is currently begin-
ning in Australia following the federal government
announcement in 2010 that telehealth consultations would
be recognized for medicare reimbursement [80]. These
540 Pers Ubiquit Comput (2013) 17:533–543
123
medicare reimbursements are targeted to support older
adults and those in remote areas, but are for consultations
that take place at physician’s office or aged care facilities.
Such funding and policy support has rapidly enabled this
form of telehealth.
For the further integration of ubiquitous and home-based
technologies into healthcare practice and into the health
system, further such regulatory, reimbursement or incen-
tive changes would need to be introduced.
5.4 Consumer awareness and demand
Uptake by consumers of smartphones, social media and in
some cases the usage of sensors is very high as described.
These directions offer significant potential for engagement
of consumers in health communication and their health.
The rapid consumer engagement with these technologies
and media for many information and communications
activities has the potential to be leveraged for further
engagement of consumers in their health care and health
communication. Whether such developments as the quan-
tified self movement or the social sharing of fitness data
[61] continue to see adoption will be seen over time.
6 Conclusion
In this article, we have reviewed the literature to demon-
strate the capability and benefits of applying emerging
provider-to-consumer telehealth technologies including the
utilization of ubiquitous computing technologies for rural
and remote areas with low-to-medium bandwidth com-
munication available. This demonstrates how large near-
term benefits could be potentially realized for telehelath for
these areas. We have considered the use of new forms of
health consumer and public health communication via
health social networks, the use of advanced and automated
health emergency notification systems including smart-
phone-based systems, the use of smartphone-enabled sen-
sor technologies for home-based capturing of physiological
data for at-risk patients, the use of personal health records
by chronically ill and emerging mobile device–based vid-
eoconferencing capabilities. We have also reviewed current
regulatory and uptake issues associated with further real-
world deployment.
References
1. Grundy BL, Crawford P, Jones PK et al (1977) Telemedicine in
critical care: an experiment in health care delivery. J Am Coll
Emerg Physicians 6(10):439–444
2. Field MJ (ed) (1996) Telemedicine: a guide to assessing tele-
communications in health care. National Academy Press,
Washington
3. Banks G, Togno J (1999) Telehealth in Australia: equitable.
health care for older people in rural and remote areas. Paper
presented at 5th national rural health conference 14–17 March,
Adelaide
4. Gagnon M-P, Duplantie J, Fortin J-P, Landry R (2006) Imple-
menting telehealth to support medical practice in rural/remote
regions: what are the conditions for success? Implement Sci
1(1):18
5. Moehr JR, Schaafsma J, Anglin C, Pantazi SV, Grimm NA,
Anglin S (2006) Success factors for telehealth—a case study. Int
J Med Inform 75(10–11):755–763
6. Jennett PA, Andruchuk K (2001) Telehealth: ‘real life’ imple-
mentation issues. Comput Methods Programs Biomed 64(3):
169–174
7. Broens T et al (2007) Determinants of successful telemedicine
implementations: a literature study. J Telemed Telecare 13(6):
303–309
8. Whitacre BE, Mills BF (2007) Infrastructure and the rural-urban
divide in high-speed residential internet access. Int Reg Sci Rev
30(3):249–273
9. Briere S, Boissy P, Michaud F (2009) In-home telehealth clinical
interaction using a robot. Proceedings of the 4th ACM/IEEE inter-
national conference on Human robot interaction. ACM, La Jolla
10. Cavusoglu MC, Williams W, Tendick F, Sastry SS (2003)
Robotics for telesurgery: second generation Berkeley/UCSF
laparoscopic telesurgical workstation and looking towards the
future applications. Ind Robot Int J 30(1):22–29
11. Steele R (2011) Social media, mobile devices and sensors: cat-
egorizing new techniques for health communication. The 5th
international conference on sensing technology, Palmerston
North, New Zealand
12. Lai AM, Kaufman DR, Starren J, Shea S (2009) Evaluation of a
remote training approach for teaching seniors to use a telehealth
system. Int J Med Inform 78(11):732–744
13. Wilson LQ, Qiao RY, Li J, Percival T, Stapleton S (2004) Broad
band technologies for critical care telehealth. In: Walduck K,
Cesnik B, Chu S (eds) HIC 2004: Proceedings. Brunswick East,
Vic.: Health Informatics Society of Australia, pp 153–156
14. American Roentgen Ray Society (2009) Teleradiology offers CT
colonography to rural areas. http://www.arrs.org/Pressroom/info.
cfm?prID=373
15. Williams R (2010) Neurology at a distance. Lancet Neurol
9(4):346–347
16. Bahensky JA, Jaana M, Ward MM (2008) Health care informa-
tion technology in rural America: electronic medical record
adoption status in meeting the national agenda. J Rural Health
24(2):101–105
17. Curran V, Fleet L, Kirby F (2006) Factors influencing rural health
care professionals’ access to continuing professional education.
Aust J Rural Health 14(2):51–55
18. Kim Y, Phong L, Park W, Kim K, Rha K (2009) Laboratory-level
telesurgery with industrial robots and haptic devices communi-
cating via the internet. Int J Precis Eng Manuf 10(2):25–29
19. Rayman R, Croome K, Galbraith N et al (2007) Robotic telesurgery:
a real-world comparison of ground- and satellite-based internet
performance. Int J Med Robot Comp Assist Surg 3(2):111–116
20. National Broadband Network (2011) http://www.nbn.gov.au/.
Accessed 28 Dec 2011
21. Australian IT (2011) http://www.theaustralian.com.au/australian-
it/government/nbn-given-two-year-deadline-extension/story-fn4
htb9o-1226027907420. Accessed 28 Dec 2011
22. WiMAX Forum (2011) http://www.wimaxforum.org/. Accessed July
2011
Pers Ubiquit Comput (2013) 17:533–543 541
123
23. IEEE 802.20 Working Group (2011) IEEE 802.20 mobile
broadband wireless access (MBWA). http://grouper.ieee.org/
groups/802/20/Documents.htm. Accessed July 2011
24. The Regional Telecommunications Independent Review Com-
mittee (2008) Framework for the future Canberra, ACT
25. Australian Bureau of Statistics (2007) Patterns of internet access in
Australia, 2006. http://www.abs.gov.au/ausstats/[email protected]/mf/
8146.0.55.001. Accessed 28 Dec 2011
26. Statistics Canada (2008) Canadian internet use survey
27. Rashid U, Woo W (2006) Personal information disclosure man-
agement in smart home tele health care. The 4th International
Symposium of Ubiquitous VR 93–94
28. Kumar S, Kambhatla K, Hu F, Lifson M, Xiao Y (2008) Ubiq-
uitous computing for remote cardiac patient monitoring: a survey.
Int J Telemed Appl 2008:1–20
29. Vassis D, Belsis P, Skourlas C, Pantziou G (2010) Providing
advanced remote medical treatment services through pervasive
environments. Personal Ubiquitous Comput 14(6):563–573
30. Mynatt ED, Abowd GD, Marykina L, Kientz JA (2010) Chapter
two: understanding the potential of ubiquitous computing for
chronic disease management. In: Hayes B, Aspray W (eds)
Health informatics: a patient centred approach to diabetes. MIT
Press, Cambridge
31. Pan E, Cusack C, Hook J et al (2008) The value of provider-to-
provider telehealth. Telemed e-Health 14(5):446–453
32. Howard A (2001) Clinical call centres: does low-bandwidth video
have a place? J Telemed Telecare 7(suppl 2):14–16
33. Malagodi M, Schmeler MR, Shapcott NG, Pelleschi T (1998) The
use of telemedicine in assistive technology service delivery:
results of a pilot study. Technol Special Interest Sect Q 8:1–4
34. Ricketts T (2000) The changing nature of rural health care. Annu
Rev Public Health 21:639–657
35. Bailey JM (2008) The top 10 rural issues for health care reform.
Center for rural affairs. http://files.cfra.org/pdf/Ten-Rural-
Issues-for-Health-Care-Reform.pdf. Accessed 28 Dec 2011
36. Parr B 40% of all tweets come from mobile. Mashable, URL:
http://mashable.com/2011/01/07/40-of-all-tweets-come-from-
mobile/. Accessed 30 June 2011
37. Evans B (2011) Facebook’s 300m app users. http://www.ben-
evans.com/post/14858334056/facebooks-300m-app-users. Accesses
29 Dec 2011
38. Swan M (2009) Emerging patient-driven health care models: an
examination of health social networks, consumer personalized
medicine and quantified self-tracking. Int J Environ Res Public
Health 6(2):492–525
39. Brownstein C, Brownstein J, Williams D, Wicks P, Heywood J
(2009) The power of social networking in medicine. Nat Bio-
technol 27(10):888–890
40. Frost J, Massagli M (2008) Social uses of personal health infor-
mation within PatientsLikeMe, an online patient community:
what can happen when patients have access to one another’s data.
J Med Internet Res 10(3):e15
41. Kwak H, Lee C, Park H and Moon S (2010) What is twitter, a
social network or a news media? Int’l World Wide Web Con-
ference (WWW 2010)
42. Whitelaw B (2011) NHS Direct considers targeted ads on Face-
book and Twitter. http://www.guardian.co.uk/healthcare-net
work/2011/jun/17/nhs-direct-facebook-status-twitter-advertising.
Accessed 30 June 2011
43. Scanfeld D, Scanfeld V, Larson E (2011) Dissemination of health
information through social networks: Twitter and antibiotics. Am
J Infect Control 38(3):182–188
44. Chatterjee S, Price A (2009) Healthy living with persuasive
technologies: framework, issues and challenges. J Am Med
Inform Assoc 16:171
45. Petersen S, Peto V, Rayner M (2004) Coronary heart disease
statistics 2004. British Heart Foundation, London
46. Dabiri F, Massey T, Noshadi H, Hagopian H, Lin CK, Tan R,
Schmidt J, Sarrafzadeh M (2009) A telehealth architecture
for networked embedded systems: a case study in in vivo
health monitoring. IEEE Trans Inf Technol Biomed 13(3):
351–359
47. Steele R, Lo A, Secombe C, Wong YK (2009) Elderly persons’
perception and acceptance of using wireless sensor networks to
assist healthcare. Int J Med Inf 78(12):788–801
48. Jara A, Zamora M, Skarmeta A (2011) An internet of things-based
personal device for diabetes therapy management in ambient assisted
living (AAL). Pers Ubiquit Comput 15(4):431–440
49. Varshney U (2007) Pervasive healthcare and wireless health
monitoring. Mobile Netw Appl 12:113–127
50. Lo B, Thiemjarus S, King R, Yang GZ (2005) Body sensor
network—a wireless sensor platform for pervasive healthcare
monitoring. In: Adjunct proceedings of the 3rd international
conference on pervasive computing, May 2005
51. Lam SCK, Wong KL, Wong KL, Mow WH (2009) A smartphone
centric platform for personal health monitoring using wireless
wearable biosensors. Inf Commun Signal Process 8–10:1–7
52. Marshall A, Medvedev O, Antonov A (2008) Use of a smart-
phone for improved self management of pulmonary rehabilita-
tion. Int J Telemed Appl 2:1–2:5
53. Yavuz G et al. (2010) A smartphone based fall detector with
online location support. In PhoneSense’10
54. Thompson C, White J, Dougherty B, Albright A, Schmidt D
(2010) Using smartphones to detect car accidents and provide
situational awareness to emergency responders. Mob Wirel
Middleware Oper Syst Appl 48(1):29–42
55. Ko J, Lu C, Srivastava M, Stankovic J, Terzis A, Welsh M (2010)
Wireless sensor networks for healthcare. Proc IEEE 98(11):
1947–1960
56. Pantelopoulos A, Bourbakis NG (2010) A survey on wearable
sensor-based systems for health monitoring and prognosis. IEEE
Trans Syst Man Cybern Part C 40(1):1–12
57. Steele R, Min K, Lo A (2012) Personal health record architec-tures: technology infrastructure implications and dependencies.
J Am Soc Inf Sci Technol (forthcoming)
58. Steele R, Garder W, Chandra D, Dillon TS (2007) Framework
and prototype for a secure XML-based electronic health record
system. Int J Electronic Healthc 3(2):151–174
59. Dellifraine J, Dansky K (2008) Home-based telehealth: a review
and meta-analysis. J Telemed Telecare 14(2):62–66
60. Wartzek T, Eilbrecht B, Lem J, Lindner HJ, Leonhardt S, Walter
M (2011) ECG on the road: robust and unobtrusive estimation of
heart rate. IEEE Trans Biomed Eng 58(11):3112–3120
61. Steele R, Min K (2010) HealthPass: Fine-grained access control
to portable personal health records. 24th IEEE international
conference on advanced information networking and applica-
tions. Perth, 20–23 April 2010
62. Steele R, Tao W (2008) MobiPass: a passport for mobile busi-
ness. Pers Ubiquit Comput 11(3):157–169
63. Clarke A, Steele R (2011) How personal fitness data can be re-
used by smart cities. the seventh international conference on
intelligent sensors, sensor networks and information processing
(ISSNIP 2011), Adelaide, 6–9 Dec 2011
64. Steele R, Lo A (2009) Future personal health records as a
foundation for computational health. computational science and
its applications—ICCSA 2009, Lecture notes in computer sci-
ence, vol 5593, pp 719–733
65. Kohlhoff C, Steele R (2004) Evaluating soap for high performance
applications in capital markets. Int J Comp Syst Sci Eng
19(4):241–251
542 Pers Ubiquit Comput (2013) 17:533–543
123
66. Bringewatt R (1998) Healthcare’s next big hurdle. Healthc Forum
J, 1 Sep 1998. http://www.healthforum.com. Accessed 30 Jun
2011
67. Center for Disease Control (2011) Chronic diseases: the power to
prevent, the call to control: at a glance 2009. http://www.cdc.gov/
chronicdisease/resources/publications/AAG/chronic.htm. Acces-
sed 30th June 2011
68. Estrin D, Sim I (2010) Open Health architecture: an engine for
health care innovation. Science 330:759–760
69. Lyles CR, Harris LT, Le T, Flowers J, Tufano J, Britt D et al
(2011) Qualitative evaluation of a mobile phone and web-based
collaborative care intervention for patients with type 2 diabetes.
Diabetes Technol Ther 13(5):563–569
70. Duncan JM et al (2011) PDA?: a personal digital assistant for
obesity treatment—an RCT testing the use of technology to
enhance weight loss treatment for veterans. BMC Public Health
2011(11):223
71. Obermayer JL, Riley WT, Asif O, Jean-Mary J (2004) College
smoking-cessation using cell phone text messaging. J Am Col-
lege Health 53:71–78
72. McKethan A, Graham-Jones P, Fatami P (2011) New mobile app
will use texting for diabetes management. http://www.healthit.
gov/buzz-blog/beacon-community-program/mobile-app-texting-
diabetes-management/. Accessed 28 Dec 2011
73. Armstrong D et al (2011) FaceTime for physicians: using real
time mobile phone-based videoconferencing to augment diag-
nosis and care in telemedicine. Eplasty 11:e23
74. Technology News. Apple iPhone 4 Facetime uses 3MB per
minute. http://2tech.org/071157/apple-iphone-4-facetime-uses-
3mb-per-minute/. Accessed 30 Dec 2011
75. Hartmann D (2009) Telepresence bandwidth requirements. http://
globalknowledgeblog.com/technology/unified-communications/
telepresence-bandwidth-requirements/. Accessed 28 Dec 2011
76. Access Economics (2010) Financial and externality impacts of
high-speed broadband for telehealth. In: Department of Broad-
band Communications and the Digital Economy (ed) 2010
77. Fostering independence through technology act of 2011
http://www.govtrack.us/congress/bill.xpd?bill=s112-501. Acces-
sed 28 Dec 2011
78. USDA awards 34 rural telemedicine grants. http://www.
govhealthit.com/news/usda-awards-34-rural-telemedicine-grants.
Accessed 28 Dec 2011
79. Australian telehealth network launches its video consultation
services in partnership with BCS Global and Vidyo. http://www.
sfgate.com/cgi-bin/article.cgi?f=/g/a/2011/12/13/prweb9033259.
DTL. Accessed 30 Dec 2011
80. Medicare Telehealth (2011) Australian government, Depart-
ment of Human Services. http://www.medicareaustralia.gov.au/
provider/incentives/telehealth.jsp. Accessed 30 Dec 2011
Pers Ubiquit Comput (2013) 17:533–543 543
123