At the 2017 Consumer Electronics Show there were tens of new and improved IoT connectivity devices for different ages and areas of healthcare. From wearables to support weight loss, earbuds for measuring body temperature, intelligent toothbrushes, and complete systems for monitoring heart rate, breathing, and activity. One notable example was the Philips’ Avent uGrow – a digital parenting app which can be paired with baby monitors and ear thermometer devices to monitor baby’s health, feeding and sleeping patterns. Just a simple, yet pragmatic, example of connected health for the most precious and vulnerable sector of the population.
It’s well understood that the applications and implications of IoT and connectivity for healthcare are tremendous. A lot of innovation is happening today and it is not clear yet which of these devices or solutions will survive or thrive. It is impossible to cover the entire span of IoT for Healthcare but here are two examples worth discussing:
These examples pertain primarily to the connected patient and the various services serving them. Now, as in many other “intelligent” infrastructure domain, we are also witnessing the emergence of Intelligent Hospitals. As illustrated here, IoT connectivity has many pragmatic and valuable applications for the overall operation of hospitals. Medical devices can be connected – for precision and speed to improve the patient experience; the hospital’s intelligent building infrastructure may be improved; and overall administrative efficiencies can be optimized.
Ultimately the benefit of connectivity through smart healthcare devices can be achieved only in the context of intelligent and dynamic processes – Let’s discuss.
End-To-End Digitization of Value Streams Making the Difference
Silos, errors in diagnostics, and inconsistencies in patient data are pervasive challenges in the healthcare industry, often with devastating consequences for the patient. To solve these pervasive challenges, two approaches need to be taken. First, the use of outpatient or inpatient wellness monitoring and connectivity become important building blocks. Then, an end-to-end value stream for the patient has to be captured and digitized. The end-to-end value stream connects the patient, his/her data, to primary, secondary, healthcare facility and emergency services. This needs an automated process (workflow) engine to assign tasks and monitor the resolution of a potential emergency care situation. All parties need to have:
- A consistent and unified view of the patient data
As we have seen in previous posts in the IoT DX series, the real and perhaps most significant value impact of IoT in Healthcare and other sectors is through intelligent processes automated and operationalized within dynamic cases. The “intelligence” emanates from mining the patient and activity data: discovering and operationalizing various types of machine learning artificial intelligence (predictive and adaptive) models. In fact with a Digital Transformation platform, such as Pega, you can combine the experience of the medical knowledge workers (business rules) with the insight that is harvested from medical device data. The insight – from human knowledge or data analytics need to be operationalized in action. The action is realized through automated tasks. The end-to-end digitized value stream could involve the patient, the devices, the primary and secondary care providers, and potentially the intelligent hospital with all the connectivity. Thus both information / patient data as well as process integration and connectivity is realized with connected patients, connected facilities, connected care providers, and connected vehicles.
ABOUT THE AUTHOR: Dr. Setrag Khoshafian is an author, speaker, and leading expert on the Internet of Things, digital process automation, and digital transformation. As Pega’s chief evangelist and VP of BPM technology, he provides valuable insight on business transformation and innovation to our clients.