May 17, 2020

From finance to healthcare: 5 fintech trends that will benefit digital health products

Big Data
Artificial intelligence
Mobile apps
Health Tracking
Lee Fasciani, Co-founder and d...
6 min
The success of technology innovations in the financial sector has seen fintech become a global boom industry, topping $31B in the past three years. As t...

The success of technology innovations in the financial sector has seen fintech become a global boom industry, topping $31B in the past three years. As the healthcare sector increasingly looks to technology to deliver service innovations, providers can learn from the challenges and successes that have shaped fintech.  Among the trends we’ve seen at the recent London Fintech Week, there are five that stand out in their relevance for healthtech: 

1. Access to information

At its heart, fintech success lies in adopting disruptive approaches made possible by innovative mobile first technology. From earliest ventures, apps empowered customers by offering 24hr access to information that had traditionally been controlled by financial sector institutions.

As the fintech market has grown and matured, customer empowerment and control continue to underpin the fintech product approach.  From private banking and investment products, to money transfer and contactless payment, mobile first products liberate customers from restrictive opening times on the high street, time consuming appointment-based advice and consultation models and cumbersome cash or chip and pin transactions.

Of course, this convenience comes with significant security issues and this is where fintech blockchain solutions support highly secure data storage solutions. As Fard Johnmar highlights, blockchain innovations increasingly support AI applications, and data stores in electronic medical records, mobile health apps, wearables, even genomics.

The relevance for healthcare is clear, as providers and consumers seek more convenient and secure ways to engage with health-related data. 

2. Data tracking and performance:

The success of wearable technology largely rests on the ability to track and enhance personal wellness through performance, and Fintech has tapped this trend, empowering individuals to fine tune personal performance across everything from managing budgets to investment portfolios.

While finance tracks money, the fitness industry is driving advances in biometric wearables that monitor and record steps and active minutes, heart rate, calories burned, even sleep.  The relationship between tracking fitness and larger health issues has always been implicit, and the traction and success of personal performance products provides a bridge to more dedicated health technology.

Today, the self-generated tracking and performance trend is driving a proliferation of health-related apps that encourage and empower customers to proactively engage with their wellness. From cardio trackers, calorie counters, ovulation and menstruation apps, and pregnancy trackers, developments in more sophisticated clinical solutions are leading to technology that combines with wearables and mobile apps to monitor chronic conditions, including cardiovascular disease, diabetes, stress and mental health. And with advances in biometric accuracy, data analysis, machine learning, and AI algorithms, products and applications that tap this high value data is forecast to proliferate.

3. Personalised programmes:

As individuals become more comfortable with tracking and sharing the finer details of their lifestyle, big data can be harnessed to analyse and predict both short and long term impact of lifestyle choices. A recent presentation by Babylon Health about their BUPA partnership to develop a Digital Twin application illustrates the scope of ambition in this field.

While this medical assessment method is still in its early stages, it will only get increasingly sophisticated. Intended to mirror a real system, a digital twin provides a safe virtual environment in which to test the impact of changes in a system.

As such highly tailored applications become accessible to consumers, a digital twin can alert an individual and their medical practitioners to potential changes in the system, and encourage and motivate patients to make better lifestyle choices. The drive to offer personalised programmes extends to developments in AR and VR (Augmented and Virtual Reality) technology, which is making it possible to provide detailed personalised sensory treatment and recovery programmes to support pain management, anxiety and mental health.

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4. Democratising data:

When Fintech entrepreneurs recognised the empowerment potential of services that provided access to information historically owned and managed by institutions, they transformed the dynamics of the relationship between service provider and customer.

In the same way that access to and management of information, as supported by Open Banking and the recent GDPR legislation, have had profound implications for the financial sector, the healthcare sector too will be forced to democratise access to information. Ultimately, this means becoming more transparent and flexible in how services are delivered and supported, and how patients and customers choose and engage with those services.

This is illustrated by transformative mobile first products and platforms that have come to market since 2016. Apps now offer digital access to a range of information and services traditionally provided by GP surgeries and clinics, including digital triage, virtual healthcare assistants, symptom checkers, GP appointment bookings, online GP consultations, prescription reordering and delivery, diet and lifestyle advice, etc. 

And in the same way that established banks, like HSBC, have launched standalone digital counterpart in First Direct, the NHS is now launching mobile first apps that are democratising access to services and choice. Indeed, the NHS is now partnering with private healthtech companies like Babylon Health and insurance providers, like BUPA.

Perhaps most interesting in terms of democratising data is the NHS support for private products like Evergreen Life PHR, an app launched in 2016 by Evergreen Health Solutions that enables individuals to keep their patient information, vaccination records and test results on the app, and seek advice, consultations and referrals through this mobile and tablet portal.

While these are big integrated platforms, smaller more specialised companies are making their mark. An interesting example of how the democratisation of data can tap into health innovations is Biosay. A Boston-based start-up with a big vision, Biosay’s founder Rachael Donald has a vision to support individuals, communities and clinical research through personal data tracking and voluntary data donations. 

Due to launch later this year, Biosay’s state of the art biometric trackers combine with environmental markers to support and enhances an individual’s ability to manage stress and emotional responses.

With the aim to help individuals develop self-awareness and improved coping strategies Biosay recognises the role that social and environmental factors play in a person’s wellness, and provides sharing and data donation options that enable an individual to support community, and feed their data into clinical trials that will benefit public and commercial health programmes and. An approach that applies a crowdsourcing model to health and wellness data, products like Biosay have tremendous potential to contribute valuable contextual data to clinical trials.

5. AI and Analysis:

The fintech sector has been quick to harness advances in the field of Artificial Intelligence and machine learning with bespoke analytics engines. The health sector will also benefit from the same powerful algorithms and analytical tools when applied to identifying, diagnosing,  monitoring and tailoring preventative and recovery  programmes on an individual, community and global basis. And, a current research project by Stanford University computer scientists is applying a deep learning system called Decagon to help doctors prescribe more effective drug combinations.

Projects like these, that correlate big data generated by clinical information and research can reveal clusters and patterns that can benefit all aspects of healthcare. In combination with data generated by biometric wearables, GP records, lab results, DNA testing, travel records, diet and lifestyle, medical advice and interventions will become more effective.

On a global scale, data from private and public, commercial and NGO sources can be analysed to identify, monitor and predict disease clusters, viral outbreaks, and high risk populations, making regional and global healthcare planning and provision more strategic and targeted.

Healthcare is in transition. As the benefits of innovation and disruption in the financial sector prove beneficial to individuals, businesses and institutions, similar expectations of access to information, empowerment, performance, services and personalisation will demand innovative products and services from healthcare providers.

The great thing is that healthcare can learn from fintech – healthcare providers can learn how to harness technology, how to disrupt and manage disruption, how to design valued customer experiences that empower patients and lead to meaningful healthcare provision for everyone.

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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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