Most of the time I write about the psychology of patient, consumer or provider adoption. This is not an accident. The psychology of adoption is the next big hurdle for connected health to overcome. We have good evidence that connected health solutions can be engaging and sticky for patients, leading to improved self-care. Likewise, we have evidence that enriching data coming from patients to providers can lead to better care decisions and that these decisions, made and delivered in the moment of need, are the other half of the magic of connected health. Further we have a sense that those patients who are not interested in the level of engagement that connected health demands often have worse outcomes and therefore cost the system more.
But today, I want to talk about technology. Most of the time, I write from the perspective of a technology vision that includes continuous (or near continuous) sensing of multiple physiologic signals. These signals are flawlessly transmitted to a computing environment where decision support can be applied to aid in improved communication with patients and improved decision making by providers. The state of the art today is not so elegant.
We use multiple different sensors, both wired and wireless, communicating via a large variety of aggregator devices that then transmit the sensor outputs to us via the Internet. The environment is both user-unfriendly and error prone, which increases the technical support resources required. We have the strong sense that some individuals drop out of programs because the technology is too challenging for them, so we miss them before we can turn them on to the benefits of a connected health experience.
The marketplace for sensors is changing in a number of exciting, dynamic ways. First, a number of sensors are coming to market that have embedded mobile chips right in them. They are sold in the same way as the Amazon Kindle (the wireless connectivity is bundled in the price of the device).
