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Breast cancer represents 23% of all cancers diagnosed among women each year. BRCA1 and BRCA2 are tumor suppressor genes related to the most frequent form of hereditary breast and ovarian cancer, as well as other types of cancer. The aim of this work is to describe the development of Clinical Decision Support Systems (CDSS) for referral to genetic counseling in patients at increased risk of pathogenic variants in BRCA1 and BRCA2, and to describe results during the pilot study implementation (from January 5, 2021 to March 5, 2021). To achieve integration and system interoperability, we used FHIR and CDS-Hooks within the CDSS development. A total of 142 alerts were triggered by the system for 72 physicians in 98 patients. Results showed an acceptance rate for the recommendation of 2.1%, which could improve using intrusive alerts in all of the hooks.

Atopic dermatitis is a common chronic dermatological disease in childhood that can affect people's quality of life. The aim of this study was to inquire about the difficulties, needs and interests related to the disease that people with eczema and their caregivers have; in order to develop a tool that is useful for the follow-up of the illness. Electronic surveys were sent to potential users and interviews were conducted with professionals who are specialized on the subject. The main findings allowed us to understand the challenges and situations they face on a daily basis, such as the difficulties related to the family support, the queries on the eczema flare-ups, the struggles with the adherence to treatment and the needs of optimizing their quality of life. These results helped us design a tool that allows patients and their companions to better monitor their disease while optimizing communication with their health professionals.

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. Considering best practices and being aware of possible unintended consequences, we must take advantage of information and communication technologies, such as chatbots, to analyze and promote useful conversations for the health of all people.