3 May 2019
Digital technology is changing the way health systems care for patients. Citizen generated data from digital devices, apps and home sensors can be used outside traditional healthcare settings to monitor aspects of a patient’s condition allowing healthcare professionals to track health trends over time.
Remote patient monitoring platforms can predict imminent adverse events, promptly alert caregivers, and facilitate earlier interventions. The benefits for patients include empowerment through better understanding and management of their condition, resulting in better clinical outcomes and less use of NHS and social care resources. However, these platforms raise a number of ethical considerations around the collection and use of this data. These need to be mitigated if remote patient monitoring platforms are to be implemented effectively.
Read our other CGD resources:
What is citizen generated data?
Citizen generated data: an opportunity for public health?
Whilst remote patient monitoring offers clear benefits, potential harms could arise. Overestimating the capabilities of devices could lead to patients and/or healthcare professionals over-relying on data, potentially fostering a false sense of complacency should the technology not detect a problem. This may result in missed diagnoses and delayed intervention. Conversely, overdiagnosis could lead to unnecessary health anxiety for the patient – for example if monitoring devices detect changes that are no cause for concern.
Lack of clarity around professional responsibilities
Remote patient monitoring may lead to overdiagnosis and overtreatment if healthcare professionals err on the side of caution and intervene when there is uncertain clinical utility. On the other hand, lack of clarity surrounding professional responsibilities and guidance on how it fits within current patient pathways could deter clinicians from engaging with remote patient monitoring. Although less likely to arise as an issue in the context of pilot studies on small cohorts, if remote patient monitoring is scaled up without substantive guidance and clarity of responsibility, clinicians may be reluctant to utilise this data to guide clinical decision-making.
Over-reliance on data could facilitate reductionism – data from monitoring devices cannot tell the observer anything about the person’s mental or emotional state, or the context in which the data was recorded. The benefit of a reduction in time-consuming face-to-face interaction with the health service could be at the cost of gaining contextual data and more subtle cues during consultations – for example, a doctor may notice the patient looks unkempt, prompting them to ask about their mood and wellbeing.
There is potential for remote patient monitoring to perpetuate health inequalities. These platforms require the use of digital technologies, and will tend to favour patient users who have higher levels of health activation - who prioritise their health and have the interest, skill and literacy needed to be able to engage with it.
Not all patients will be willing and able to use such digital devices, and studies show that there are disparities in populations that use digital tools1. The reasons for this include a lack of reliable access to internet or mobile technologies; disinterest in one’s own health; or discomfort using these technologies. This could lead to patients who are unable or unwilling to participate missing out on clinically relevant insights that can be derived from that data, and as a consequence, the need for more frequent interactions with healthcare, more trips to hospital, relapses and adverse events over their life course.
Digital technologies have transformed our ability to collect and analyse large amounts of data about individuals and their health, raising concerns around the erosion of privacy. The right to privacy protects people from unwanted intrusion into their personal lives and is an important pillar of medicine. Various types of privacy exist; in this context the division of privacy into ‘physical privacy’ (the right to possess and protect personal space) and ‘informational privacy’ (having control of data about oneself)2 is relevant.
Home monitoring systems potentially infringe upon multiple aspects of a person’s privacy. Employing connected sensors and devices that can feed back to the health system (e.g. Care City, above) is justified on the basis of their potential to minimise adverse events and increase the autonomy of elderly individuals or those managing long-term conditions.
Such systems often involve a range of integrated sensors that capture data which is sent to and assessed by a third party caregiver. Whilst some may find home monitoring reassuring, others might find its pervasive nature engenders a sense of ‘being watched’ even where no one is reviewing the data. Notably, this vulnerability to observation may in itself be harmful, even if no observation occurs. Studies suggest, however, that those with chronic conditions view the benefit of rapid access to information as outweighing privacy concerns3.
These privacy losses are exacerbated by the fact that privacy policies are often inaccessible and rarely revisited. Where data from multiple sensors are processed through complex analytics, it can be unclear what data is collected and for what purpose. Patients therefore need to understand the use of their data, the limits to this use, and the inferences which can be made from it. Whilst communication of new care models can work well in trials, the dialogue between researcher and patient should be maintained when remote monitoring is implemented more widely.
Mere acquiescence to pre-dictated ‘terms and conditions’ rather than properly informed consent could encourage users to see health and privacy as commodified benefits for the exchange of personal data. Due to this ‘trade-off’, many feel it is impossible to limit access to their data, and instead see digital profiling as inevitable.
To address the challenges outlined in this policy briefing, measures could be taken to:
Remote patient monitoring systems are a great example of where the health system is actively engaging with citizen generated data. There are clear benefits to be gained by harnessing data generated by patients outside clinical settings and the efforts so far have been positive. These considerations are relevant to those implementing new remote patient monitoring platforms and scaling up existing provision.