Publications by authors named "Ricardo J Cruz-Correia"

Objective: To assess the support of large language models (LLMs) in generating clearer and more personalized medication instructions to enhance e-prescription.

Patients And Methods: We established patient-centered guidelines for adequate, acceptable, and personalized directions to enhance e-prescription. A dataset comprising 104 outpatient scenarios, with an array of medications, administration routes, and patient conditions, was developed following the Brazilian national e-prescribing standard.

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Background: Stroke management requires a coordinated strategy, adhering to clinical pathways (CP) and value-based healthcare (VBHC) principles from onset to rehabilitation. However, the discrepancies between these pathways and actual patient experiences highlight the need for ongoing monitoring and addressing interoperability issues across multiple institutions in stroke care. To address this, the Fast Healthcare Interoperability Resource (FHIR) Implementation Guide (IG) standardizes the information exchange among these systems, considering a specific context of use.

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This study focused on comparing distributed learning models with centralized and local models, assessing their efficacy in predicting specific delivery and patient-related outcomes in obstetrics using real-world data. The predictions focus on key moments in the obstetric care process, including discharge and various stages of hospitalization. Our analysis: using 6 different machine learning methods like Decision Trees, Bayesian methods, Stochastic Gradient Descent, K-nearest neighbors, AdaBoost, and Multi-layer Perceptron and 19 different variables with various distributions and types, revealed that distributed models were at least equal, and often superior, to centralized versions and local versions.

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Several open source components have been made available in recent years to help develop full openEHR systems. Still doubts exist if these are sufficient. This paper presents a case study of implementing a low-code openEHR system, investigating the feasibility and challenges of developing a system using these components for each step.

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Although FHIR has been designed to be easy to implement, it requires knowledge that is still hard to find. We aim to evaluate the use of FHIR in Portuguese projects for the integration of medical devices. Two projects were selected, including easyHealth4Covid (EH4C) and Chronic Diseases Management Platform (CDMP).

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Synthetic data has been more and more used in the last few years. While its applications are various, measuring its utility and privacy is seldom an easy task. Since there are different methods of evaluating these issues, which are dependent on data types, use cases and purpose, a generic method for evaluating utility and privacy does not exist at the moment.

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Electronic health records (EHRs) present extensive patient information and may be used as a tool to improve health care. However, the oncology context presents a complex content that increases the difficulties of EHR application. This study aimed at developing openEHR-archetypes representing clinical concepts in cancer nutrition-care, as well as to develop an openEHR-template including the aforementioned archetypes.

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Unlabelled: We aimed to identify relevant indicators for end-users in integration engines for healthcare systems.

Methods: The study was performed in two steps, including interviews and the identification of additional indicators from the literature.

Results: 10 interviews were performed and 90 indicators identified.

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ObsCare is an obstetric-specific Electronic Health Record in use in nine Portuguese obstetric departments. Like other EHRs, it faces major challenges related to semantic interoperability and data quality. openEHR is proposed to address those needs.

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Introduction And Aims: Electronic health records (EHRs) are important tools to facilitate communication between care providers and to improve clinical research. In obstetrics they became essential. The ObsCare software was created to answer to the need for an EHR with specific obstetric features.

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Aims: To compare the characteristics of scientific publications performed in hospitals that used with those that didn't use an obstetric electronic health record (EHR).

Methods: This study included two reviews (A and B). Review A was an exploratory analysis of all 100 abstracts presented at the Scientific Meeting of the Portuguese Society of Obstetrics and Maternal-Fetal Medicine, in November 2017.

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Background: Birth plans are meant to be a declaration of the expectations and preferences of pregnant woman regarding childbirth. The My Prenatal Care app engages pregnant women in an educational intervention for a healthy pregnancy. We hypothesized that users' positive perception of an in-app birth plan is a relevant step for establishing direct communication between pregnant women and the health care team, based on an online report available on the app.

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Background: The traditional concept of personalized nutrition is based on adapting diets according to individual needs and preferences. Discussions about personalized nutrition have been on since the Human Genome Project, which has sequenced the human genome. Thenceforth, topics such as nutrigenomics have been assessed to help in better understanding the genetic variation influence on the dietary response and association between nutrients and gene expression.

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Objectives: To understand and build a collective vision of all existing institutions in the Portuguese National Health Service as well as to perceive how and how far the interaction between those multiple institutions is supported by Information Systems (IS).

Methods: Upon identification of the institutions involved in the healthcare process, a set of interviews with experienced people from those institutions was conducted, which produced about five hours of tape. The research was focused exclusively on processes involving two different organizations and any internal processes were altogether excluded from it.

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Introduction: Fetal growth charts are often used in clinical practice. It is important to understand the usefulness and the pitfalls associated with these tools. Without validation, it is difficult to ascertain if the cutoffs we intend are the ones we actually select.

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Objective: We aimed to characterize gestational age assessment and fetal growth evaluation among obstetricians.

Methods: Observational, cross-sectional study. We applied a questionnaire to obstetrics specialists and residents, during a national congress on obstetrics.

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Purpose: to assess the validity of several fetal weight charts, commonly used in Portugal, to classify its population.

Methods: observational retrospective study. Singleton birth data was analyzed, from a two- year period (May 2008 to April 2010), from pregnancies with an ultrasound in the same institution, between the 8th and 14th gestational week.

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In most hospitals several heterogeneous Information Systems (IS) store parts of a still scattered patient record. Virtual Patient Records (VPR) are systems that aggregate known data elements about the patient from different IS in real-time. This papers aims to present the main lessons learned from the implementation and the usage during 6 years of a VPR system.

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Background: The identification of clinically relevant information enables improvement in user interfaces and in data management. However, it is difficult to identify what information is important in daily clinical care, and what is used occasionally. This study aims to determine for how long clinical documents are used in a Hospital Information System (HIS).

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Background: The integration of Information Systems (IS) is essential to support shared care and to provide consistent care to individuals--patient-centred care. This paper identifies, appraises and summarises studies examining different approaches to integrate patient data from heterogeneous IS.

Methods: The literature was systematically reviewed between 1995-2005 to identify articles mentioning patient records, computers and data integration or sharing.

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