Chatbots: A new type of primary data transforming GIS healthcare assessments

Now, the rise of Chatbots and their use in healthcare attention can give another perspective not just for patients and users (sentiment analysis, persuasive dialogue design) but for GIS analysts in the healthcare sector by giving them a powerful tool and potential source of information to understand in real time the spatial patterns of diseases.

The rise of conversational technologies has been like a revelation for GISers

The chatbots disruption as a potential source of Big Data has been actually like a revelation. For any GISer, the possibilities from using Bots as a potential rich source of information are endless. The chance to incorporate to GIS mapping such brute source of information including persuasive dialogues, sentiment or personalities behind chatbots, will elevate GIS mapping for healthcare analysis to a new level of accuracy.

Also, the development of Natural Language Processing (NLP) and how people will communicate (words used, demographics, and location) will be helpful to detect trends.

All this valuable information will be an opportunity for the sector by getting a new approach to estimate and measure spatial patterns of diseases in real time as well as to interact with users and patients.

Thus, GIS software developers will find chatbots strategic in the development of spatial analysis tools integrated in their platforms.

The the Three V’s potential in GIS platforms: Volume, Velocity & Variety

GIS can unify different geographic sources improving the analysis by combining different data (Messaging platforms, census data, NHS).

A new powerful channel of communication + GIS next gen. platforms will revolutionise public health attention

In this regard, the benefits and advantages of combining different technologies such as Chatbots with next generation GIS platforms for healthcare attention could be revolutionary, challenging and helpful for the investigation of spatial patterns of different public concerns such as air pollution and lung-respiratory diseases.

Mentioned by Sophia Brooke, Chatbots have demonstrated their effectiveness in gathering Big Data. With high volume of conversations daily, its velocity of information as well as the variety of questions and needs from patients, make Bots a potential source of information.

The combination of Chatbots as primary data source with the potential of new GIS platforms will respond to the needs of healthcare consultants, physicians, researchers and environmental engineers in the decision-making of strategies to reduce the spatial incidence and severity of respiratory diseases by processing high loads of data in real time.

Bots efficiency in communication strategy as the fastest form of getting replies and user interactions plus its automated contents, make Bots the most efficient form to respond millions of demands at once.

The excellent user/patient interaction through a friendly personalised experience together with unlimited reach of more than 2 billion users currently are making Chatbots the preferred manner of communication between millennials and Z-ers and the global dominant form of information in 2025.