Tana, a Healthcare Chatbot to Help Patients During the COVID-19 Pandemic at a University Hospital in Argentina.

A Chatbot or Conversational Agent is a computer application that simulates the conversation with a human person (by text or voice), giving automated responses to people's needs. In the healthcare domain, chatbots can be beneficial to help patients, as a complement to care by health personnel, especially in times of high demand or constrained resources such as the COVID-19 Pandemic. In this paper we share the design and implementation of a healthcare chatbot called Tana at the Hospital Italiano de Buenos Aires.

An Improved Immunization Record to Support Vaccination During the COVID-19 Pandemic at a University Hospital in Argentina.

WHO and UNICEF highlight vaccination as the most cost-effective method of prevention of infectious diseases. An effective public health strategy requires efficient tracking of vaccination to assess coverage, safety, and efficacy of these vaccines. Paper-based immunization records are still being used in most low and middle-income countries.

Design and Evaluation of an Automatic Speech Recognition Model for Clinical Notes in Spanish in a Mobile Online Environment.

Clinical documentation in healthcare institutions is one of the daily tasks that consumes most of the time for those involved. The adoption of mobile devices in medical practice increases efficiency among healthcare professionals. We describe the design and evaluation of an automatic speech recognition system that enables the transcription of audio to text of clinical notes in a mobile environment.

Accuracy of an electronic problem list from primary care providers and specialists.

Accurate patient problem lists in Electronic Health Records (EHRs) are valuable tools for improving the quality of care, communication among professionals, facilitating research, quality measurement and the implementation of clinical decision support systems. However, problem lists are frequently inaccurate and out-of-date, and use varies widely across providers. These deficiencies limit problem list benefits.

Creation of a local interface terminology to SNOMED CT.

This paper describes the steps followed in the creation of a local Interface Terminology to SNOMED CT (as reference terminology) with a strong focus on user acceptability. The resulting list of terms is used for clinical data input by physicians and nurses at the Hospital Italiano in Buenos Aires, Argentina. Description includes data model, mappings to SNOMED CT and classifications, subsets definitions and extensibility mechanisms.

A practical approach to advanced terminology services in health information systems.

As the medical informatics field evolves, new functions appear as the focus of interest; a more advanced management of terminology is one of them. Using comprehensive and detailed terminology to represent clinical rules in computer systems, associated with patient information, would allow clinical software to provide patient specific recommendations or alerts. In order to uniform data collection through our HIS, and lay the foundations for future clinical decision support systems, we decided to move from our previous classification-based medical record into new terminology services built around Snomed CT, Spanish Language Version.