IoT and Healthcare: Redesigning Care Pathways
Hari HarikrishnanHari Harikrishnan
Joining IoT and healthcare and leveraging connectivity to deliver care is not as easy as it seems.
The usual refrain on IoT goes like this:
We are supposed to simply rinse and repeat this process across vast swathes of industries as follows:
Really?!
A reader from the industrial world recently wrote to me:
“Only IT people who live in their cloudy ivory towers and have never been to a factory floor can make up these... stories”.
Managed telephone and managed services in IT is a decades-old business practice. (See the old AT&T managing a phone above). Repeating the same for monitoring machine health in industrial manufacturing can be done, but not easily, as the above reader points out.
However, replicating the same for managing human health remotely requires a leap not just in technology, but in how healthcare is delivered.
Yet, with IoT, hope for better health springs eternal.
So, how can we ensure the successful marriage of IoT and healthcare?
In healthare, clinical pathways or care pathways are implemented to standardize the delivery of care. A care pathway is a series of processes that reduces variability and improves clinical outcomes for the patient.
Let’s expand the notion of “pathways” to appreciate how IoT can be leveraged in healthcare delivery. The expansion includes the notion that data needs to flow across the players involved in care delivery and money needs to flow to compensate the right parties.
Hence, pathways in IoT-enabled healthcare deal with three areas:
The three pathways together look like this.
For managed healthcare to leverage IoT, all these pathways need to be established and coordinated, beyond the care pathway.Let’s examine the complications in healthcare by examining each pathway.
Biosensors are not your average flow sensors or vibration sensors. They are for humans. They are sometimes worn. They are mostly mobile. They are specific to body-area. There is a limit to how much a human can wear.
The human is a complex “end-point”, to use IoT jargon. There are many points to monitor. There is no standard baseline, unlike an industrial machine. Establishing the baseline parameters of the patient itself is a big undertaking needing clinical expertise.
Privacy in health is definitely a much more touchy (no pun) subject than in Industrial IoT.
IoT changes the way data flows into clinical processes. In the non-IoT case, data “flows” only when the patient is at a care facility or when they call in. With IoT, data is always flowing. It is as if the provider gets virtual visits from the patient 24-hours a day!
How should the care provider deal with it? Are they liable if they fail to sense, analyze, and take action throughout? How should they re-design clinical pathways based on this new data flow? What are the best practices and protocols to follow? When should the patient visit a facility or a provider visit the patient at home?
Healthcare is unique in each country. Payment systems are varied and complex. In a complex system like the US, there are many payers and administrators  — government, private firms, insurance firms, and patients. In industrial IoT, end customers pay the vendor or the vendor’s channel partner for product or services rendered. Simple!
Despite all the complications above, the value of IoT in improving health outcomes, delivery efficiencies, and patient experience are not lost on governments and care providers. We are on our way to professionally managed healthcare using IoT, not just consumer-grade wearables for the fitness-conscious.
We will even go beyond the simple model of single provider caring for a patient to a myriad of providers using our personal data and designing new care pathways for us.
I don’t know about you, but I look forward to a new care delivery system anchored on my ever-streaming data.
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