Conversational chatbots in healthcare deliver tremendous cost savings if they are designed well.

What is it about?

Healthcare institutions are slowly starting to deploy chatbots as a new method of communication with their patients. However, most of the automated chatbots fails to satisfy the patient expectation and the clinicians needs. Moreover, the idea of creating a conversation based on these chatbots similar to how the physician-patient interact when a patient encounter a health issue is not fully understood or implemented. In our research we are adopting the SOAP clinical charting method along with the diagnostic schema and the OldCarts to build two tenants chatbots that can describe patient case through conversations between the physician and the patient in the form of SOAP note. Our existing QL4POMR infrastructure is able after that to convert the SOAP note into HL7 FHIR Resource record and link it to other cases based on our graph-based Neo4J backend. The design of the two chatbots has been designed as micro frontends services.

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Photo by National Cancer Institute on Unsplash

Photo by National Cancer Institute on Unsplash

Why is it important?

Current healthcare systems are deeply complex in organization and services. With the growing need to satisfy caregivers as well as to accommodate larger patient experiences and needs, the challenge arises as to how innovative and provides such services in an effective way. There is a greater need to couple service design with systemic design efforts to accommodate the interlinked nature of healthcare service development, workflow and change management as well as the flexible nature of the content management systems including the electronic healthcare records and their frontends.

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