A dataset of skin lesion images collected in Argentina for the evaluation of AI tools in this population.

In recent years, numerous dermatological image databases have been published to make possible the development and validation of artificial intelligence-based technologies to support healthcare professionals in the diagnosis of skin diseases. However, the generation of these datasets confined to certain countries as well as the lack of demographic information accompanying the images, prevents having a real knowledge of in which populations these models could be used. Consequently, this hinders the translation of the models to the clinical setting.

Radiomics and Machine Learning for prediction of two-year disease-specific mortality and KRAS mutation status in metastatic colorectal cancer.

Purpose: Colorectal cancer is usually accompanied by liver metastases. The prediction of patient evolution is essential for the choice of the appropriate therapy. The aim of this study is to develop and evaluate machine learning models to predict KRAS gene mutations and 2-year disease-specific mortality from medical images.

[Not Available].

Introducción. La plantilla de órdenes múltiples es una herramienta informática que podría producir consecuencias inadvertidas pese a sus innumerables beneficios. Nos propusimos explorar el efecto de su inactivación sobre las solicitudes de estudios complementarios y los costos asociados.

[Effect of computerized physician order entry inactivation to order complementary studies in an emergency department].

Introduction: The computerized provider order entry (CPOE) is a computing tool that could lead to unintended consequences despite its myriad benefits. We aimed to explore the effect of its inactivation on requests for complementary studies and the associated costs.

Methods: Cross sectional study at the Emergency Department of Hospital Italiano de Buenos Aires, which included a consecutive sample of pre-intervention (January-February 2020) and post-intervention (2021) consultations.

Using Informatics Framework in Immunosuppressed or Transplanted Patients for a Preferential Care Route at the Emergency Department.

For immunosuppressed or transplanted patients, appropriate triage is a timely topic, especially in the Emergency Department (ED) of a high-volume referral center. We implemented a new Program called Rapid Clinical Care by Internal Medicine Specialists, as a preferential care route for these patients, which combines the proposed informatics framework in the field of total quality management in the healthcare units, as an example of digital technologies that can improve processes in the clinical routine. Our study aimed to describe waiting-time and attention-time in ED and to explore the effect on patients' clinical outcomes after discharge.

Recurrence of Hypoglycemia in Hospitalized Adult Patients in Non-Critical Areas: An Opportunity to Improve Patient Care Using Electronic Health Records.

Electronic Health Records offer an opportunity to improve patient care (in terms of quality and/or safety) by making available patient health information stored in a single Clinical Data Repository. We aimed to estimate the frequency of hypoglycemic recurrences in hospitalized adult patients in non-critical areas. We designed a cross sectional study with hospitalizations between 2017 and 2018, which included patients with at least one hypoglycemia health record (defined as a value <70 mg/dL, either by capillary glycemic monitoring or serum measurement).

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.

Mobile Application for Home Healthcare: Physician's Expectations and Perceptions.

The aging of the population and the increase in chronic diseases generated the need for care at home for pluripathological patients, who can no longer access outpatient care due to functional and social problems. The use of Electronic Medical Records (EMR) improves continuity of care, simplifies data collection, decreases overhead costs, and reduces mortality in chronically ill patients. The use of an App to check and record data in the EMR during the home visit saves time for professionals and helps to avoid transcription errors.

Can CPOE Based on Electronic Order Sets Cause Unintended Consequences (Expensive and Unnecessary Tests) at the Emergency Department?

Computerized Provider Order Entry (CPOE) systems may cause unintended consequences. This study aimed to describe the on-going system for CPOE order sets, and to explore an economic evaluation at the Emergency Department. First, we developed a costs dashboard which showed us the significant and excessive use of medical tests per consultation.

Chest x-ray automated triage: A semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures.

Background And Objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpretation might improve by using a method that can exploit diverse types of annotations. This work presents a Deep Learning method based on the late fusion of different convolutional architectures, that allows training with heterogeneous data with a simple implementation, and evaluates its performance on independent test data. We focused on obtaining a clinically useful tool that could be successfully integrated into a hospital workflow.

Ferroelectret-based Hydrophone Employed in Oil Identification-A Machine Learning Approach.

This work focuses on acoustic analysis as a way of discriminating mineral oil, providing a robust technique, immune to electromagnetic noise, and in some cases, depending on the applied sensor, a low-cost technique. Thus, we propose a new method for the diagnosis of the quality of mineral oil used in electrical transformers, integrating a ferroelectric-based hydrophone and an acoustic transducer. Our classification solution is based on a supervised machine learning technique applied to the signals generated by an in-home built hydrophone.

Asynchronous Dermatology Teleconsultations Using a Personal Health Record.

Health information and communication technologies such as telemedicine provide alternatives for patient and physician communication. An increasing number of patients, providers and institutions are using this technologies to seek or provide health care. Asynchronous consultations requires a service of storing and forwarding health related information by the patient to the specialist physician or other healthcare provider.

Implementation of a New Traceability Process for Breast Milk Feeding.

Many newborns at the neonatal intensive care unit are unable to feed themselves, and receive human milk through enteric nutrition devices such as orogastric or nasogastric probes. The mothers extract their milk, and the nursing staff is responsible for the fractionation, storage and administration when prescribed by physicians. It is very important to remind that it is a bodily fluid that carries the risk of disease transmission if misused.

Bringing Knowledge to Users in One Click: Infobuttons in the Problem List of an EHR.

The infobuttons allows the solving of information needs. In our study, the use of Infobuttons is described, analyzing the number of queries to UpToDate® from the problem list of an Electronic Health Record. There were 26419 requests in 8 months.

User-Centered Design Improves the Usability of Drug-Drug Interaction Alerts: A Validation Study in the Real Scenario.

Decision support systems can alert physicians to the existence of drug interactions. The Hospital Italiano de Buenos Aires, Argentina, has an in-house electronic health record with computerized physician order entry and clinical decision support. It includes a drug-drug interaction alert system, initially developed under traditional engineering techniques.

Improving Patient Safety Through the Design and Development of a Computerized Provider Order Entry for Parenteral Nutrition Linked to a Barcode Medication Administration Record.

Among adverse events related to medication errors, the defects in parenteral nutrition administration pose a special threat to patient safety. Two high impact strategies to reduce these errors require implementing a Computerized Provider Order Entry and the use of bedside bar-code verification prior to medication administration. In this study, we share the deep field analysis of the current workflow performed to include inpatient bedside barcoding verification for parenteral nutrition administration in a large academic health center.

Lessons Learned After Redesigning a Personal Health Record.

On May 2016, our institution implemented a redesign of the personal health record (PHR) with the aim of enhancing its use. The objective of this research was to know and to understand end users' opinions as regards PH functionalities and the difficulties they have addressed while using the new PHR version. Research was based on a self administered survey, patient interviews and focus groups performed with out-patients.

User-centered design improves the usability of drug-drug interaction alerts: Experimental comparison of interfaces.

Clinical Decision Support Systems can alert health professionals about drug interactions when they prescribe medications. The Hospital Italiano de Buenos Aires in Argentina developed an electronic health record with drug-drug interaction alerts, using traditional software engineering techniques and requirements. Despite enhancing the drug-drug interaction knowledge database, the alert override rate of this system was very high.

Evaluating the Feasibility of Using Mobile Devices for Nurse Documentation.

The use of electronic health records (EHR) has changed the quality of clinical documentation and improved quality of patient assistance, allowing better communication between health professionals and increased data recording that helps the nursing assistance process. The use of mobile devices for compiling data at the assistance moment has increased, and more studies have demonstrated its usefulness. The aim of this study was to evaluate the use of mobile devices in the nursing staff of the Hospital Italiano de Buenos Aires, in a pilot test to measure their use and user satisfaction.

Computerization of a Nursing Chart According to the Nursing Process.

The benefits associated with the computerization of clinical records are known since a long time ago. Documentation evolution from paper to electronic format aims to always improve communication, reduce errors and facilitate continuity of care. Ideally when improvements to nursing records are contemplated, they should consider the nurses needs, new functionality workflow impacts and correspondence with representation models of standardized data that are specific to their domains practices.

Electronic Health Record System Contingency Plan Coordination: A Strategy for Continuity of Care Considering Users' Needs.

Electronic Health Record system downtimes may have a great impact on patient care continuity. This paper describes the analysis and actions taken to redesign the Contingency Plan Procedure for the Electronic Health Record System of Hospital Italiano de Buenos Aires. After conducting a thorough analysis of the data gathered at post-contingency meetings, weaknesses were identified in the procedure; thus, strategic actions were recommended to redesign the Contingency Plan to secure an effective communications channel, as well as a formal structure for functions that may support the decision-making process.

Pre-Implementation Study of a Nursing e-Chart: How Nurses Use Their Time.

In clinical practice, nurses perform different activities that exceed direct care of patients, and influence workload and time administration among different tasks. When implementing changes in an electronic nursing record, it is important to measure how it affects the time committed to documentation. The objective of this study was to determine the time dedicated to different activities, including those related to electronic documentation prior to implementing a redesigned nurse chart in an Electronic Health Record at the Hospital Italiano de Buenos Aires.

Patient Safety at Transitions of Care: Use of a Compulsory Electronic Reconciliation Tool in an Academic Hospital.

Medication errors are responsible for most inpatient adverse events. Medication reconciliation emerged as an effective strategy to decrease these problems, enhancing patient safety. Electronic health records with reconciliation tools could improve the process, but many aspects should be considered in order to reach expected outcomes.

Validating the Access to an Electronic Health Record: Classification and Content Analysis of Access Logs.

Electronic Health Records (EHRs) have made patient information widely available, allowing health professionals to provide better care. However, information confidentiality is an issue that continually needs to be taken into account. The objective of this study is to describe the implementation of rule-based access permissions to an EHR system.