Open Access

Empowered citizen ‘health hackers’ who are not waiting

BMC Medicine201614:118

https://doi.org/10.1186/s12916-016-0670-y

Received: 13 July 2016

Accepted: 5 August 2016

Published: 17 August 2016

Abstract

Due to the easier access to information, the availability of low cost technologies and the involvement of well educated, passionate patients, a group of citizen ‘Health Hackers’, who are building their own medical systems to help them overcome the unmet needs of their conditions, is emerging. This has recently been the case in the type 1 diabetes community, under the movement #WeAreNotWaiting, with innovative use of current medical devices hacked to access data and Open-Source code producing solutions ranging from remote monitoring of diabetic children to producing an Artificial Pancreas System to automate the management and monitoring of a patient’s condition. Timothy Omer is working with the community to utilise the technology already in his pocket to build a mobile- and smartwatch-based Artificial Pancreas System.

Keywords

Type 1 diabetes Artificial pancreas Citizen Hackers #WeAreNotWaiting

Background

Type 1 diabetes is a condition requiring around the clock management. Despite the multiple daily injections and invasive blood testing, type 1 diabetes patients find that the main challenge to managing their condition is the mental pressure to keep track of their blood sugar levels, treatments and medication calculations, leading them to exhaustion. After more than 22 years as a type 1 diabetic, I agree with them.

Existing care is unrealistic

The NHS Type 1 Diabetes Care Pathway [1] is focused on a yearly follow-up between patients and a diabetes clinic of trained experts. Patient performance over the previous year is reviewed and treatment adjustments suggested, but this is often of limited value for the patient, whose state on a given day may often not match that on the next, and a yearly discussion cannot summarise the patient’s personal challenges. Therefore, the outcome is often a ‘bending of the truth’ to meet the clinician’s expectations.

The most modern accessible technology for type 1 diabetes management is an insulin pump, which provides a constant supply of insulin, as well as a self-funded [2] continuous glucose monitor, which provides real-time feedback of the patient’s blood sugar levels. These devices provide many functions and high volumes of data, all of which are very welcome and useful, but such systems always fail with regards to patient expectations to understand and process all of this information. As a result, patients become overwhelmed by a feeling of judgement by healthcare professionals, the vast amounts of ensuing information, and alert and alarm ‘shouts’ from their devices when they have failed at being a ‘good diabetic’, as well as with their own disappointment of their body letting them down.

Are things going to get better?

Diabetics are getting better at understanding their condition and its cause and reactions, as well as more technically able to finely tune treatments and understand real-time information, yet patients are still not able to processes and act upon such data; this is due to incorrect use of the data. Data is commonly locked into the devices, with no or limited ability to share across devices, and the analytics required to process such data are extremely complicated. Nevertheless, patients should not be made to feel that managing their diabetes is their full-time job!

When enough is enough

The lack of accessible and actionable data is a common frustration in the type 1 diabetes community. Given the easier communication between diabetics with online communities in recent times, the community have been engaging in conversation, with a key event in the community being the first DiabetesMine D-Data ExChange event [3], which highlighted the frustration of patients waiting for their needs to be addressed and where the community declared “We Are Not Waiting”. And rightly so, why should patients wait to address their current needs?

Patients currently have access to global online communities that allow unrestricted sharing of ideas, projects and collaboration efforts to overcome challenges [4], as well as access to cheap technology from the Hobby Electronics movement [5] and a passionate well-educated pool of individuals with a common goal. This critical mass, which rallied under the hashtag #WeAreNotWaiting, saw rapid progress in DIY medical devices in the type 1 diabetes community [6].

Patient-driven projects

Through community-driven innovation there has been a surge in edge cases being developed, which may be of little interest to the medical industry either due to costs or risks. By gaining access to their own data under their terms, several patient-driven creative solutions have been developed:
  • To monitor continuous glucose monitor data from a smartwatch [7]

  • To remotely monitor a child’s blood sugar levels [8]

  • To provide louder alarms and treatment suggestions according to the data [9]

  • To analyse patient data and automate medication delivery [10]

These projects are empowering the patient through the better use of real-time data to help manage a real-time condition. Watching one’s blood sugars rise on a smartwatch after eating a pizza is a lot more powerful than the screen on the manufactures device showing the same data in one’s bag.

The path to a DIY artificial pancreas

Only a year ago, the thought of an artificial pancreas system (APS) was overwhelming. The multiple components required and skill needed to provide an efficient and safe system is beyond the majority of citizens (with some exceptions [11]), yet the individual challenges are more easily tackled. Through a step-by-step method of collecting, merging and processing community accessed data from patients’ devices to provide meaningful actionable information, there has been a surge in the sharing and convergence of community DIY projects. One of the outcomes is the OpenAPS project [8], which provides the instructions and blueprint of a DIY patient-built APS. Yet, how effective can a patient-built ‘amateur’ system be? This is best summed up by a quote from a recent OpenAPS user:

Dear Machines: You Can Take This Job” [12]

Rise of the machines

In 2015, I decided to fork (make a copy of) the OpenAPS project and make use of the supercomputer in my pocket to assist with management of my diabetes. With the communities Open Source projects, namely xDrip and OpenAPS, I self-taught myself mobile development and built an APS app [13]. I had no need to start from scratch or learn the best algorithm to crunch my data, I took what the community had already developed to kick start my own project, which allowed me to focus on building a system unique to my needs and on the additional functionality that I required.

While the system I built was an Open Loop system lacking communication with my insulin pump, this was enough to significantly help me with the management and treatment of my condition. The system assisted with one of the most problematic areas of my care – me. The app is free from the frustration, impatience and, at times, simple human ignorance, it does what I cannot – analyse my data every 5 minutes and make an unemotional logical decision. I moved from reactive to proactive management of my diabetes, where the APS system would provide treatment alterations to manage the highs and lows of my blood sugar levels and often stop such events from occurring. It is a liberating feeling, for the first time in 22 years I can let my diabetes take a back seat without damaging my health.

The data-rich patient

Where is this heading? Access to information, collaboration and low technology costs are only going to improve over time. As the communities’ expertise improves, there will be an increase in medical management challenges tackled by the community. Patients will be able to understand their conditions by analysing the wealth of information captured, access rapid production technologies leading to easily available high quality tools [14], and be on a par with the technically capable 1 % due to more accessible tools and sharing of knowledge through community-led workshops [15]. This will spread beyond diabetes care to other conditions ripe for such disruption [16].

Regulate the unregulatable?

Such rapid innovation and progress in the community is partly the result of a lack of regulation. As with all medical devices, there is a risk of their inappropriate use or misuse. DIY medical devices are not for all, but the work of the community should not be categorised by just the more ambitious projects out there. Community projects could be simply categorised as (1) low risk (e.g. gatherings and workshops discussing diabetes management, DIY projects that visualise and access patient data in more meaningful ways, and 3D printed components to help organise and arrange equipment); (2) medium risk (e.g. DIY projects providing automated suggestions on treatment adjustments); and (3) high risk (DIY projects providing automated monitoring and delivery of medication).

The progress of patient-led innovation shows no sign of slowing and ignoring such a movement will not only be futile but also a lost opportunity in the way care is provided for such long-term conditions. Community work should not be seen as competition to the medical industry or healthcare providers, but rather as a treatment path challenging and pushing the boundaries of what is currently possible, as well as being a wealth of free data [17]. Categorising the type of community care that can be provided will allow assessment by the medical industry and healthcare providers for them to decide on what they are willing to support and what they would prefer to be less involved in. With the United Kingdom’s National Health Service in turmoil due to spiralling costs, here lies an opportunity to utilise a pool of human resources with a proactive interest in their condition and a willingness to share their knowledge with others. These are the empowered patients who own their condition – support and encouragement of such communities can be provided at almost zero cost to the National Health Service. It is time to start embracing this community and acknowledging their potential as well as the possible risks that some projects may introduce.

Conclusions

The community is a large, experienced and skilled resource that is currently underused. Their access to information, sharing of ideas and drive to improve their quality of life will continue to flourish [18]. Do these DIY projects really improve the management of chronic conditions? Or is this just an effect of the patient being more active in their management? For me, the outcome is the same, I am empowered by the community and the tools they have developed. We are now managing our condition and, whether you agree or not, progress is not slowing, as ‘We Are Not Waiting’.

Declarations

Author’s information

TO worked in the IT industry specialising in the implementation of business systems and processes that empower staff with the right technology. As a type 1 diabetic for over 22 years, TO has been passionate about using his diabetes technology and data to help him manage his condition. Working with the #WeAreNotWaiting movement of citizen ‘Health Hackers’, who are producing Open Source solutions and hacking existing medical devices to their needs, he is also producing a mobile-based Artificial Panaceas System and prompting discussions about this patient-led movement at talks and conferences.

Competing interests

The author declares that he has no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)

References

  1. National Institute for Health and Care Excellence. Type 1 diabetes in adults Care Pathway. http://pathways.nice.org.uk/pathways/type-1-diabetes-in-adults. Accessed 27 July 2016.
  2. Input. NICE Guidelines for Long-term (continuous) use of a CGM. http://www.inputdiabetes.org.uk/cgm/cgm-costs/ Accessed 27 July 2016.
  3. The creation of the tagline “We Are Not Waiting” http://www.healthline.com/health/diabetesmine/innovation/we-are-not-waiting Accessed 27 July 2016.
  4. Example Communities include: Facebook CGM in the Cloud (https://www.facebook.com/groups/cgminthecloud/), Gitter Developer Chat Rooms (https://gitter.im/orgs/nightscout/rooms), OpenAPS GitHub code (https://github.com/openaps/oref0) Accessed 27 July 2016.
  5. xDrip Parts. Example Hobby Electronics hardware-based community project. https://github.com/StephenBlackWasAlreadyTaken/xDrip/blob/master/hardware_setup.md Accessed 27 July 2016.
  6. Diabetes Hacking Timeline. Summary of key community projects over the last few years. https://drive.google.com/open?id=1n3YVRaCUeB2l80tzZ1o2FbnH-jKlk9TMwKsoAMgdD6s Accessed 27 July 2016.
  7. Don Browne Dexwatch. Monitoring CGM data via smartwatch. http://dexwatch.blogspot.co.uk/ Accessed 27 July 2016.
  8. The Nightscout Project. Uploading CGM and other data to a personal website. http://www.nightscout.info/ Accessed 27 July 2016.
  9. #DIYPS. System built to augment CGM alerts. https://diyps.org/ Accessed 27 July 2016.
  10. Open Artificial Pancreas System using existing medical devices and assessing their data via community projects. https://openaps.org/what-is-openaps/ Accessed 27 July 2016.
  11. Meet the Bigfoot Family and Their Homemade Closed Loop System. http://www.healthline.com/diabetesmine/bigfoot-family-their-diabetes-and-homemade-closed-loop-system Accessed 27 July 2016.
  12. Dear Machines: You Can Take This Job - Michael Stebbins Write-up describing his artificial pancreas. http://labs.teague.com/?p=2035 Accessed 27 July 2016.
  13. HAPP. DIY, Open Loop, Artificial Pancreas. http://www.hypodiabetic.co.uk/home/blog/hacking-diabetes/diy-open-loop-artificial-pancreas Accessed 27 July 2016.
  14. Example 3D printed projects from the #WeAreNotWaiting Community. http://www.shapeways.com/search?q=xdrip+or+wearenotwaiting&type=product Accessed 27 July 2016.
  15. Andrew Abramowicz Twitter.com | Example of a community lead “xDrip Party” where sharing of knowledge and assistance is provided to build xDrip receivers https://twitter.com/westwindscanada/status/670718035687174144 Accessed 27 July 2016.
  16. Hearing Hacks Twitter.com | Any of the founders of #WeAreNotWaiting in London? Trying to build something similar for #hearingaids industry and could use advice https://twitter.com/hearinghacks/status/633292264773668864 Accessed 27 July 2016.
  17. Nightscout instance displaying Tim Omer’s blood sugars and other treatment data. http://bg.hypodiabetic.co.uk/ Accessed 27 July 2016.
  18. We’re Not Waiting for Our Automatic Pancreas System | Mark Wilson, Ben West, Jason Calabrese, James Matheson, Scott Leibrand, Erzsi Szilagyi, Mikel Curry, Jason Curry discuss the creation of the OpenAPS system and results of real world usage. https://medium.com/quantified-self-public-health/were-not-waiting-for-our-automatic-pancreas-system-888162fcde2b#.e17scv470 Accessed 27 July 2016.

Copyright

© The Author(s). 2016

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