May 17, 2020

Tracking disease with search data and web technology

Google
Flu Trends
Correlate
dengue fever
Admin
3 min
Search data can track the global spread of disease
Written by Linda Dailey Paulson For healthcare professionals isolated by geography or resource constraints, there has often been a lag or complete lack...

Written by Linda Dailey Paulson

For healthcare professionals isolated by geography or resource constraints, there has often been a lag or complete lack of timely data about encroaching infectious diseases. In some of these instances, a little information can be immediately used for education, preventing the expense of ongoing treatment, as well as potentially avoiding fatalities.

Web-based search data in particular can be successfully used in the early detection and monitoring of various diseases. The genesis of these efforts can be traced to Google’s Flu Trends tool, which was developed by the company with the U.S. Centers for Disease Control and Prevention (CDC).

It often takes significant time and resources to actually collect, analyse, and report data. However, in 2008, Google researchers found that trending search terms can be indicative of actual events. They looked at official data from the CDC and found that there was a direct correlation between the spread of the disease and search terms such as ‘flu’.

After seeing how Google Flu Trends worked, researchers eager to use search trend data to find out more about public health have contacted the company. The result was Google Correlate, a new, experimental service designed to connect search analysis with real-life data. Google Correlate does not look at one single person’s search patterns, but examines patterns appearing in millions of Google queries.

From this, Google has created Dengue Trends. No vaccine or treatment for Dengue fever exists, which means prevention is critical and Google worked with HealthMap to develop its Dengue tool.

The Children's Hospital Boston and Google.org researchers say examining search data – specifically disease-related queries specific to dengue fever – could help public health officials respond quickly to areas of concern with mosquito control and disease prevention campaigns, such as education campaigns, to stem an outbreak. Dengue fever reportedly infects roughly 500 million people every year and 55 percent of the global population is currently at risk of infection, according to the researchers.

Data mining has been used by public health professionals for several years. HealthMap, which was established in 2006, is one of the pioneers in this area. This real-time tracking technology uses various online news sources to track emerging infectious diseases in both animals and humans. Some of the health situations being monitored this year include meningitis, whooping cough, equine herpes virus, a measles outbreak in Utah, and antibiotic resistance worldwide.

It is not only physicians and public health professionals who are interested in using these techniques to develop health-monitoring services. New consumer-related tools such as Sickweather are designed to mine data about illnesses using social media outlets such as Facebook and Twitter. Although still in Beta, Sickweather intends “to forecast the movement of everything from stomach bugs to chronic illness and other sickness, including depression,” so that users are able to monitor their health as well as health of friends and family, and -- most importantly -- remain well.

An overview of Google Flu Trends:

Linda Dailey Paulson is a medical and technology journalist who writes for Providian Medical Equipment, a leading provider of refurbished medical technology to hospitals and clinics all over the world.

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Jun 11, 2021

How UiPath robots are helping with the NHS backlog

Automation
NHS
covid-19
softwarerobots
6 min
UiPath software robots are helping clinicians at Dublin's Mater Hospital save valuable time

The COVID-19 pandemic has caused many hospitals to have logistical nightmares, as backlogs of surgeries built up as a result of cancellations. The BMJ has estimated it will take the UK's National Health Service (NHS) a year and a half to recover

However software robots can help, by automating computer-based processes such as replenishing inventory, managing patient bookings, and digitising patient files. Mark O’Connor, Public Sector Director for Ireland at UiPath, tells us how they deployed robots at Mater Hospital in Dublin, saving clinicians valuable time. 

When Did Mater Hospital implement the software robots - was it specifically to address the challenges of the pandemic? 
The need for automation at Mater Hospital pre-existed the pandemic but it was the onset of COVID-19 that got the team to turn to the technology and start introducing software robots into the workflow of doctors and nurses. 

The pandemic placed an increased administrative strain on the Infection Prevention and Control (IPC) department at Mater Hospital in Dublin. To combat the problem and ensure that nurses could spend more time with their patients and less time on admin, the IPC deployed its first software robots in March 2020. 

The IPC at Mater plans to continue using robots to manage data around drug resistant microbes such as MRSA once the COVID-19 crisis subsides. 

What tasks do they perform? 
In the IPC at Mater Hospital, software robots have taken the task of reporting COVID-19 test results. Pre-automation, the process created during the 2003 SARS outbreak required a clinician to log into the laboratory system, extract a disease code and then manually enter the results into a data platform. This was hugely time consuming, taking up to three hours of a nurse’s day. 

UiPath software robots are now responsible for this task. They process the data in a fraction of the time, distributing patient results in minutes and consequently freeing up to 18 hours of each IPC nurse’s time each week, and up to 936 hours over the course of a year. As a result, the healthcare professionals can spend more time caring for their patients and less time on repetitive tasks and admin work. 

Is there any possibility of error with software robots, compared to humans? 
By nature, humans are prone to make mistakes, especially when working under pressure, under strict deadlines and while handling a large volume of data while performing repetitive tasks.  

Once taught the process, software robots, on the other hand, will follow the same steps every time without the risk of the inevitable human error. Simply speaking, robots can perform data-intensive tasks more quickly and accurately than humans can. 

Which members of staff benefit the most, and what can they do with the time saved? 
In the case of Mater Hospital, the IPC unit has adopted a robot for every nurse approach. This means that every nurse in the department has access to a robot to help reduce the burden of their admin work. Rather than spending time entering test results, they can focus on the work that requires their human ingenuity, empathy and skill – taking care of their patients. 

In other sectors, the story is no different. Every job will have some repetitive nature to it. Whether that be a finance department processing thousands of invoices a day or simply having to send one daily email. If a task is repetitive and data-intensive, the chances are that a software robot can help. Just like with the nurses in the IPC, these employees can then focus on handling exceptions and on work that requires decision making or creativity - the work that people enjoy doing. 

How can software robots most benefit healthcare providers both during a pandemic and beyond? 
When the COVID-19 outbreak hit, software robots were deployed to lessen the administrative strain healthcare professionals were facing and give them more time to care for an increased number of patients. With hospitals around the world at capacity, every moment with a patient counted. 

Now, the NHS and other healthcare providers face a huge backlog of routine surgeries and procedures following cancellations during the pandemic. In the UK alone, 5 million people are waiting for treatment and it’s estimated that this could cause 6,400 excess deaths by the end of next year if the problem isn’t rectified.

Many healthcare organisations have now acquired the skills needed to deploy automation, therefore it will be easier for them to build more robots to respond to the backlog going forwards. Software robots that had been processing registrations at COVID test sites, for example, could now be taught how to schedule procedures, process patient details or even manage procurement and recruitment to help streamline the processes associated with the backlog. The possibilities are vast. 

The technology, however, should not be considered a short-term, tactical and reactive solution that can be deployed in times of crisis. Automation has the power to solve systematic problems that healthcare providers face year-round. Hospital managers should consider the wider challenge of dealing with endless repetitive work that saps the energy of professionals and turns attention away from patient care and discuss how investing in a long-term automation project could help alleviate these issues. 

How widely adopted is this technology in healthcare at the moment?
Automation was being used in healthcare around the world before the pandemic, but the COVID-19 outbreak has certainly accelerated the trend.  

Automation’s reach is wide. From the NHS Shared Business Service in the UK to the Cleveland Clinic in the US and healthcare organisations in the likes of Norway, India and Canada, we see a huge range of healthcare providers deploying automation technology. 

Many healthcare providers, however, are still in the early stages of their journeys or are just discovering automation’s potential because of the pandemic. I expect to see the deployment of software robots in healthcare grow over the coming years as its benefits continue to be realised globally. 

How do you see this technology evolving in the future? 
If one thing is certain, it’s that the technology will continue to evolve and grow over time – and I believe there will come a point in time when all processes that can be automated, will be automated. This is known as the fully automated enterprise. 

By joining all automation projects into one enterprise-wide effort, the healthcare industry can tap into the full benefits of the technology. This will involve software robots becoming increasingly intelligent in order to reach and improve more processes. Integrating the capabilities of Artificial Intelligence and Machine Learning into automation, for example, will allow providers to reach non-rule-based processes too. 

We are already seeing steps towards this being taken by NHS Shared Business Service, for example. The organisation, which provides non-clinical services to around two-thirds of all NHS provider trusts and every clinical commissioning organisation in the UK, is working to create an entire eco-system of robots. It believes that no automation should be looked at in isolation, but rather the technology should stretch across departments and functions. As such, inefficiencies in the care pathway can be significantly reduced, saving healthcare providers a substantial amount of time and money. 

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