Healthcare’s technology revolution means a boost for jobs in IT

Eye testing in remote areas of Australia with the images stored and set via satellite to city-based specialists. CSIRO, CC BY-NC

Eye testing in remote areas of Australia with the images stored and set via satellite to city-based specialists. CSIRO, CC BY-NC

David Hansen, CSIRO

We tend to think about our healthcare sector as a leader in the development and use of advanced medical technology and biotechnology, such as expensive imaging machines or devices that we implant into patients.

But in many aspects of conducting the business of healthcare, our healthcare system is still in a pre-digital era. For example, healthcare may be the last sector where significant amounts of communication are still done via fax and regular post.

This is not to say that significant changes are not happening. Radiology is increasingly using digital technology but the interpretation of these images is still manual. Electronic health and medical records are also being introduced widely but there is little communication between collectors.

The digital revolution in healthcare that is currently slowly unfolding will use data and technology to improve the healthcare of patients. It will also increase safety and quality, and improve efficiency in the healthcare system.

The eyes have it… remotely

One example of how technology can be used to deliver better healthcare is a recent trial by CSIRO and our partners that provided screening for eye diseases among people in remote parts of Western Australia and Queensland.

Using the NBN’s satellite broadband service, we screened more than 1,200 people in their communities for diseases such as diabetic retinopathy. This disease often causes irreversible blindness, and it affects the Indigenous population at nearly four times the rate of the non-Indigenous population.

Captured: a typical high-resolution image of a patient’s retina. CSIRO, CC BY-NC

Local health workers were trained at capturing high-resolution images of a patient’s retina with a low-cost retinal camera. These images were stored then uploaded over the NBN satellite to ophthalmologists in Brisbane and Perth.

The screening program identified 68 patients who were at high risk of going blind, including those with macular edema. In the most case these patients received treatment locally. However, some patients needed transfer to major hospitals for immediate treatment.

Once patients were identified as being at risk of significant eye disease, they were provided with care plans that involved local follow up consultations and regular screening the tele-eye care screening program.

For diabetic patients this included advice on controlling their diabetes, which improves their overall health as well as reducing the risk of blindness.

We have the technology

Overall, the trial showed the effectiveness of providing a “store and forward” tele-ophthalmology service using satellite broadband. These types of services have previously been held back by unreliable broadband services and the lack of digital systems in our health services to interact with them.

Reliable broadband connectivity together with increased use of digital systems by health services means that these methods of health service delivery can now become the normal way healthcare is provided.

But for these tele-enabled models of care to really take off, patient data must be shared between providers. At the moment, different healthcare providers – GPs, specialist doctors and emergency departments at local hospitals – all separately collect information about the same patients.

This means that the services that a patient receives are generally uncoordinated. With the increase in chronic diseases, such as diabetes and eye-disease, coordinated care will lead to better health outcomes.

For providers to share data requires their computer systems to be able to send and receive data, and make sure that the data is added to the correct patient’s electronic record.

This is where the type of algorithms that power search engines such as Google – semantic web and information retrieval technologies – can be tailored for healthcare systems. Shared properly, the data can be used to make sure that patients receive appropriate services.

Sharing this data will also mean that there is a bigger volume of data about a patient with each healthcare provider. This will require computers to do more to analyse the data and alert patients, clinicians and health care providers when there should be follow up action.

More IT jobs needed in healthcare

The increase in the use of digital technologies will not only boost healthcare. This is a sector where there will be a significant boost in the number of IT professionals, including data scientists, needed to work.

Big data analytics will be required to analyse the large volumes of different types of data that are being collected at an increasing rate.

But it is not just about applying these new technologies in healthcare. There is also a need to work with clinicians and health service executives to understand what data is – or could be – collected. This may lead to a new way of providing clinical care, a new health service, or even make existing processes more efficient.

For data analysts and IT professionals working in healthcare, the opportunities to make a difference to patients are almost boundless.

The Conversation

David Hansen is CEO, Australian e-Health Research Centre at CSIRO.

This article was originally published on The Conversation. Read the original article.

Remote-I: connecting science and sight in remote communities

Medical service via email: an image of a patient's retina can be easily sent to an ophthalmologist.

Medical service via the net: an image of a patient’s retina, pictured here, can be easily sent to an ophthalmologist to review.

We can thank high speed internet for many things: the social media revolution, streaming services like Netflix and iView, and a never ending supply of cat videos on YouTube.

But it also has applications in the real world, providing connections to people and places that may otherwise miss out on services and technology that are otherwise taken for granted.

The perfect example of this? Remote-I: our new healthcare technology that uses satellite broadband to help prevent blindness in remote communities.

It’s a high-tech but simple solution to a widespread problem for Indigenous Australians, known as diabetic retinopathy, or DR.

DR, which can affect any diabetes sufferer, damages the small blood vessels in the light-sensitive tissue in the retina (nerve layer at the back of the eye) which leads to vision loss. According to a 2008 National Indigenous Eye Health Survey, around 1 in 16 Indigenous people have diabetes, and of these people with diabetes around one in three have DR. Diabetes was the cause of 13% of vision loss and 9% of blindness among Indigenous adults.

Not only does DR affect the Indigenous population at nearly four times the rate of the non-Indigenous population, it’s also estimated only one in five Indigenous people with diabetes has had an eye exam in the last year. DR can be avoided by having regular eye checks, however those in remote communities simply don’t have access to these services.

Patient’s retinal images and health data can be sent from a remote community health clinic to the desk of a city based ophthalmologist.

Patients’ retinal images and health data can be sent from a remote community health clinic to the desk of a city based ophthalmologist.

Enter Remote-I. Developed by Prof Yogi Kanagasingam and his team, the Remote-I platform works by capturing high-resolution images of a patient’s retina with a low-cost retinal camera, which are then uploaded over satellite broadband by a local health worker.

Then comes the really cool part: once the health worker uploads the patient’s image, an ophthalmologist can access it anywhere at any time. It takes about five minutes to read the images, create the report, and then send it back to the health worker.

The team recently trialed the technology in the Torres Strait Islands and southern Western Australia. As part of the trial, over 1,000 patients received a free eye screening appointment at a local community health centre.

The screening program identified 68 patients who were at high risk of going blind.

The technology also has the potential to benefit older Australians living in remote areas who may have trouble accessing medical facilities

According to Yogi, technologies like Remote-I can help close the gap in access to healthcare in remote and regional Australia.

“If we can pick up early changes and provide the appropriate intervention, we can actually prevent blindness,” says Yogi.

“After our successful trials, we’re really looking to see how we can work with governments and health care providers to continue the roll-out of this technology across other states and territories.

Yogi and his team are also conducting trials to further refine the Remote-I system with a National Health and Medical Research Council (NHMRC) development grant to create an algorithm that can automatically identify all the pathologies related to diabetic retinopathy, and send them for referral.

After achieving such successful results in Australia, we’ve also licensed Remote-I to a Silicon Valley spin-off TeleMedC, which plan to take the technology to the US and world market as part of its ‘EyeScan’ diagnostic solution.

Find out more about our work in Digital Health. 

Big Data is useful, but we need to protect your privacy too

Protecting your privacy when your data collected for one use might have a secondary use for other researchers. Flickr/, CC BY-NC-ND

Protecting your privacy when your data collected for one use might have a secondary use for other researchers. Flickr/, CC BY-NC-ND

Christine O’Keefe

These days, massive volumes of data about us are collected from censuses and surveys, computers and mobile devices, as well as scanning machines and sensors of many kinds. But this data can also reveal personal and sensitive information about us, raising some serious privacy concerns.

Data are routinely collected when we shop, use public transport, visit our GP or access government services in person or online. There’s also data from using our smart phones and fitness monitoring devices.

These data are generally collected for a purpose, called the “primary purpose”. For example, having purchased goods delivered, catching a bus from home to work, having a health check, obtaining a Medicare refund, navigating or searching our local area, as well as logging our fitness regime.

But in addition to being used for such primary purposes, many data are stored and used for other purposes, called “secondary purposes”. This includes research to help inform decision-making and debate within government and the community.

For example, data from Medicare, the Pharmaceutical Benefits Scheme and hospitals can be used to identify potential adverse drug reactions much faster than is currently possible.

What about privacy?

But these data can also reveal highly sensitive information about us, such as about our preferences, behaviours, friends and whether we have a disease or not.

Given the rapid change in the volume and nature of data in the digital age, it is timely to ask whether the existing ethics frameworks for the secondary use of such data are still adequate. Do they address the right ethical issues associated with research using the data? In particular, how will an individual’s privacy be protected?

There have been two important responses to these issues. A group of researchers, supported by the University of Melbourne and the Carlton Connect Initiative, explored these issues through workshops, desk research and many consultations.

They produced the Guidelines for the Ethical Use of Digital Data in Human Research. It’s a work in progress, requiring ongoing practice and revision, rather than a definitive set of prescriptions.

A team at CSIRO and the Sax Institute also addressed the deeper ethical issue of protecting privacy in the secondary use of health data. This work will be developed into Guidelines for Confidentiality Protection in Public Health Research Results.

Ethical issues for digital data

In the first of the guidelines, five key categories of ethical issues are identified as highly relevant to digital data and require additional consideration when using digital data.

  1. Consent: making sure that participants can make informed decisions about their participation in the research
  2. Privacy and confidentiality: privacy is the control that individuals have over who can access their personal information. Confidentiality is the principle that only authorised persons should have access to information
  3. Ownership and authorship: who has responsibility for the data, and at what point does the individual give up their right to control their personal data?
  4. Data sharing – assessing the social benefits of research: data matching and re-use of data from one source or research project in another
  5. Governance and custodianship: oversight and implementation of the management, organisation, access and preservation of digital data.

The voluntary guidelines were developed to help people conducting research and to assist ethics committees to assess research involving digital data.

Without such guidelines, there is a risk that new ethical issues involving digital data will not adequately be considered and managed by researchers and ethics committees.

Privacy risks from the data

Traditionally, the data custodians responsible for granting access to data sets have sought to protect people’s confidentiality by only providing access to approved researchers. They also restricted the detail of the data released, such as replacing age or date of birth by month or year of birth.

More recently, data custodians are increasingly being asked for highly flexible access to more and more details about individual persons from an expanded range of data collections.

Custodians are responding by developing a new flexible range of access modes or mechanisms, including remote analysis systems and virtual data centres.

Under remote analysis, a researcher does not have access to any of the data but submits queries and receives analysis results through a secure webpage.

A virtual data centre is less restrictive than a remote analysis system. It enables researchers to interact directly with data, submit queries and receive results through a secure interface.

But the results of statistical analysis as released by a virtual data centre may still reveal personal information. For example, if a result such as an average is computed on a very small number of people then it is probably very close to the value for each of those people.

By following such voluntary guidelines, researchers can maintain confidentiality while ensuring that society can benefit from their work.

The rapid technological advances in our society are creating more and more data archives of many different types. It’s vital that we continue to assess the ethical and privacy risks from secondary use of this data if researchers are to reap the potential benefits from access to the information.

The Conversation

Christine O’Keefe is Research Director · Digital Productivity at CSIRO.

This article was originally published on The Conversation.
Read the original article.

Mapping the PTSD brain

Scientists are using brain scans to help understand post traumatic stress disorder (PTSD).

Scientists are using brain scans to help understand post traumatic stress disorder (PTSD).

This Anzac Day, Australia and New Zealand commemorate 100 years since the beginning of WWI’s Gallipoli, a campaign famous for its heroism and infamous both for its terrible death toll and the horrific conditions on the battlefield.

Despite generations of war veterans developing mental health issues as a result of their service, it was not until 1980 that post-traumatic stress disorder (PTSD) was formally recognised. Even today, PTSD remains a misunderstood, misdiagnosed condition, for which there is no widely effective treatment.

Currently diagnosis of PTSD in the military relies on paper-and-pencil tests and screening interviews by psychologists who assess servicemen and women pre-deployment, pre-extraction and post-extraction.

Now, researchers are turning to brain-imaging to improve their understanding of the condition. They’re trying to identify the physical characteristics that may help explain why some individuals subjected to trauma develop PTSD, while others exposed to identical trauma do not.

“You can be in the same armoured vehicle and only one of the four in the vehicle will subsequently develop mental health issues,” explains Miriam Dwyer, CEO of the Gallipoli Medical Research Foundation.

“When it comes to breaking your arm, we know how to fix it; or if you have blood-pressure issues, we can sort that out. But when it comes to mental health issues and the brain, we have a long way to go.”

A miltary psychologist’s interviewing set-up in an open-air chapel.

A miltary psychologist’s interviewing set-up in an open-air chapel.

Miriam is excited to see the outcomes of a major study by the Gallipoli Medical Research Foundation into the physical health and genetics of 300 Australian Vietnam veterans. Of the 300, half have PTSD, and half do not; and in a sub-study, 100 of the veterans (50 sufferers and an equal control group of non-sufferers) have undergone MRI brain imaging.

Stephen Rose from CSIRO is charged with analysing the 100 sets of images.

“We’re looking at the volume of particular parts of the brain that may predispose individuals to PTSD, believed to be the hippocampus and the amygdala, which are in the temporal lobe and some frontal lobe structures as well, particularly the anterior cingulate. These parts of the brain seem to be very vulnerable to injury, which may predispose people to PTSD, especially in the military,” he says.

“We can measure the volume of these regions of the brain very accurately and look at cohorts of Vietnam veterans who have PTSD, and compare those with cohorts of Vietnam veterans who don’t have PTSD. That may give us some insight into whether these parts of the brain are associated with PTSD, or predispose people to developing it.”

The study is also measuring the brain’s white-matter tracks using a combination of diffusion imaging and a technique called tractography to see the effect of mild traumatic injury on the brain.

These kinds of invisible injuries are prevalent in the military and can occur, for example, when a soldier is near an explosion, even if there is no observable physical injury.

“What is postulated is that having a mild head injury may increase the accumulation of toxic material in these vulnerable parts of the brain, and may increase the risk of people going on to have PTSD. There’s a lot of interest from the military in measuring these subtle brain injuries.”

Tracers developed by GE are also being used to study biochemical changes inside the brain that indicate either short- or long-term damage to brain tissue, which may be the beginning of a disease developing. These enable specialists to look for ‘hotspots’ in the brain, which previously was only possible post-mortem.

Stephen stresses that the team’s research is in its early days, but he’s excited by its potential to help.

As Miriam says, “we understand the consequences from a psychological perspective of PTSD, but not the specific causes”, which is why this research is so important.

“We know what the symptoms are when you develop PTSD, but the treatments are still not great. The standard treatment is exposure therapy, and that works well in about one-third of patients; doesn’t work at all in another third and it can actually have a negative impact for some patients if delivered incorrectly.

“There aren’t any very good drugs in development for PTSD, probably because of the complex combination of emotional, cognitive, behavioural and biological symptoms. We’re still really trying to understand how we can effectively engage and treat all sufferers—not just one-third.”

This is an edited extract from GE Reports. Read the full feature here.

3D print your own currency, with P-YOM

Some prototype P-YOM coins.

Some prototype P-YOM coins that we hope will gain currency.


How many times have you dreamed of having your own personal bank? A money maker in your very own garage, bedroom or kitchen that allowed you to, quite literally, create wealth?

Well, thanks to 3D printing – the same technology that’s brought us horse shoes, bikes, and dragons – those dreams are now one step closer to reality. Our scientists have developed a piece of software that will enable 3D printers to print their own money.

The software program, called P-YOM (Print Your Own Money), will allow consumers with currency in Bitcoin and other online money systems to print coins from their own 3D printers. Once downloaded, P-YOM will integrate with most existing commercial and industrial printers to provide an entirely new source of currency generation.

The development has come about following a partnership we recently entered into with the digital currency industry. The industry are looking to trigger a review of online currency by the Australian Tax Office, which decided last year to classify the online money as a barter system, not a recognised currency.

The digital currency industry works like any other national currency – it can be traded for a range of other national currencies at a fluctuating rate and exchanged for a range of goods and services.

But because it isn’t tied to any national financial system, consumers can make anonymous purchases anywhere in the world, making the movement of the currency hard to track.

Internet money - the way of the future? Image credit: Flickr

Internet money – the way of the future? Image credit: Flickr

“We knew of the great work CSIRO did in inventing waterproof bank notes for Australians, so we hoped they could help us create a water-tight currency,” said Ms Julie Kansas, of the online currency traders Rikers Online Financial Liquidities.

“We think if we can physically put our currency into the hands of a few officials at the ATO, they might change their minds,” Ms Kansas said.

Each coin will be electronically watermarked with an individual “barcode” which will allow it to be tracked via the internet.

Lead scientist on the project, Dr Alex Kingsbury, said the team were already seeing the benefits of the new technology.

“We’ve had a limited test run with P-YOM amongst our staff and they absolutely loved it,” she said.

“Three of them have gone on indefinite leave and we haven’t heard back from them since they last contacted us from the French Riviera.”

“We’re also working with the gaming industry on a 3D printer / poker machine prototype, that could literally create its own winnings. It’s a bit of a gamble currently, but we do hope it will feature heavily once we get it right.”

To purchase either the software or a 3D printer, email socialmedia[at]


The election collection: tracking trends on Twitter

A wordcloud from Vizie, which tracks, integrates and visualises content across social media in real time.

Vizie tracks, integrates and visualises content across social media in real time.

With over 500 million tweets flying around the Twitterverse every day – ranging from the excruciatingly banal to the discerning and insightful – this micro-blogging platform can provide an immediate and detailed insight into public sentiment and community conversations.

It is this vast amount of shared information that makes Twitter a treasure trove of data for future historians. However due to the instant and fleeting nature of the online world, it’s important to record these conversations as they happen so that our history is preserved.

That’s why we’re working with the State Library of NSW to help capture digital conversations on hot topics relevant to the state. And at the moment, there’s nothing on people’s minds (and keyboards) more than the upcoming state election.

As NSW residents prepare to head to the polls this weekend, the library is collating and archiving publicly available Twitter activity as part of its efforts to capture and document events of historical significance. They are collecting public conversations about the economy, big and small personalities, fundraising, the media and a broad range of local and global issues.

This is all possible thanks to our social media monitoring software called Vizie.

Vizie is a web based platform that tracks, integrates and visualises content across social media in real time. It also allows users to collect swathes of tweets based on a particular hashtag or topic so that they are preserved for the future.

For the NSW election, the library is capturing the tweets of the majority of candidates running – that’s over 200 Twitter handles. It’s also collecting discussions about parties and interest groups and tracking topical issue such as #csg and #polesandwires.

So far almost 400,000 election-based tweets have been captured and preserved.

This digital record will add to the library’s extensive election archive which dates back to the 1840s and 50s. This is full of artefacts such as newspaper clippings, electoral flyers and how to vote cards which show how political campaigns, the act of running for candidacy and voting has changed over the decades.

You can keep up to date on the library’s efforts by following the conversation at #electcollectnsw. Read more about our suite of social media tools on our website.

Keeping up with the Joneses: Who has the coolest house in the neighbourhood?

Ever wondered how hot your home gets in summer or how cold it is in winter? Think solar is a good idea but not quite sure if it would work on your roof? Wondering if it’s worth investing in a rainwater tank?

Now with a new interactive tool we helped develop called My Climate, residents of Melbourne’s City of Port Phillip can do their own internet-sleuthing to answer these questions. What’s more, this could kick-start a trend that would see residents around the country taking more responsibility for these types of decisions.

My Climate uses thermal mapping taken from aerial flyovers and seven temporary weather stations to show land surface temperatures, winter heat loss, rainfall and the solar potential of all buildings in the region.

My Climate can show heat loss during Winter.

My Climate displaying heat loss from residential homes.

Working with the City of Port Phillip and Monash University, we originally developed My Climate to inform urban planning decisions. It didn’t take long to realise how useful the data would be to the whole community.

“With this data you can calculate the most appropriate solar system for your home, where it would best be located and how much it could potentially save you in electricity costs and Co2 emissions. You can also measure rainfall and calculate the cost of improving your ceiling insulation,” Port Phillip Mayor Amanda Stevens says.

“If thermal imaging shows your neighbour’s home is cooler than yours, it may mean they have better insulation, or cool air from their air-conditioner is leaking outside the home.

“This easy-to-use tool has the potential to add real value to people’s homes and on a larger scale can help tackle the impacts of climate change.”

Dr Mahesh Prakash and his group from our Digital productivity Flagship helped develop the analytics and software component of the interactive tool. He says his team is now looking to expand My Climate to include other layers of information such as natural hazard hotspots and optimum tree coverage. He would also like to see it rolled out to other Councils.

Explore the My Climate tool on the City of Port Phillip website.


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