Banca de QUALIFICAÇÃO: HERLMANOEL FERNANDES BARBOSA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : HERLMANOEL FERNANDES BARBOSA
DATE: 23/06/2026
TIME: 14:00
LOCAL: Remoto
TITLE:

DOAMA: an intelligent platform for the management and operational optimization of Human Milk Banks

KEY WORDS:

Keywords: Human Milk Bank; traceability; Design Science Research; operational manage-
ment; artificial intelligence.

PAGES: 100
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUMMARY:

Human Milk Banks require reliable records and traceability among donors, collection
points, donations, and processing stages. In the analyzed scope, the separation among
spreadsheets, forms, and non-integrated systems hinders record continuity and information
retrieval throughout the donation flow. This research aimed to propose and evaluate
DOAMA, an integrated and domain-oriented digital platform to support operational
management, informational organization, and record traceability in Human Milk Banks.
The investigation was conducted according to Design Science Research, with literature
review, documentary analysis of standards and technical references, meetings with a
domain specialist, implementation of a functional prototype, demonstration in a controlled
environment, internal adherence verification, specialist evaluation, and case study. The
artifact was organized as a multichannel platform composed of a web module, mobile
application, central services, and artificial intelligence agent articulated by a common
transactional core. The platform records and relates donors, collection requests, visits,
donations, processing stages, aggregated distribution, and audit events, in addition to
offering an analytical dashboard and observability mechanisms. The evaluation indicated
adherence among requirements, implemented mechanisms, domain characteristics, and
tasks representative of the Human Milk Bank routine. The limitations include a qualitative
and initial evaluation, participation of the same specialist in elicitation and evaluation,
absence of deployment in a real Human Milk Bank, partial coverage of the cold chain,
distribution modeled at an aggregated level, and absence of specific metrics for the artificial
intelligence agent. The contribution of the research consists in instantiating the platform in
this context, with explicit presentation of requirements, architectural decisions, traceability
mechanisms, and evaluation limits.

 

COMMITTEE MEMBERS:
Presidente - 1885001 - ANNA GISELLE CAMARA DANTAS RIBEIRO RODRIGUES
Interno - 1763991 - RUMMENIGGE RUDSON DANTAS
Externo ao Programa - ***.283.220-** - RICARDO NEY OLIVEIRA COBUCCI - UFRN