International Patient Summary Terminology.

SNOMED CT is a comprehensive medical ontology used in health care sectors across the world covering a wide range of concepts that support diversity at the point of healthcare. However, not all these concepts are needed for every use case; it is better to concentrate on those parts that apply to the particular application while preserving the meaning of relevant concepts. This paper considers the application of a novel subontology extraction method to create a new resource, called the IPS terminology, which functions as a standalone ontology with the same features as SNOMED CT, but is designed for cross-border patient care. The IPS terminology has been released for free use under an open license, with the intention of promoting interoperability of health information worldwide.

Lives Versus Livelihoods: The Epidemiological, Social, And Economic Impact Of COVID-19 In Latin America And The Caribbean.

During the COVID-19 pandemic, Latin American and Caribbean countries implemented stringent public health and social measures that disrupted economic and social activities. This study used an integrated model to evaluate the epidemiological, economic, and social trade-offs in Argentina, Brazil, Jamaica, and Mexico throughout 2021. Argentina and Mexico displayed a higher gross domestic product (GDP) loss and lower deaths per million compared with Brazil. The magnitude of the trade-offs differed across countries. Reducing GDP loss at the margin by 1 percent would have increased daily deaths by 0.5 per million in Argentina but only 0.3 per million in Brazil. We observed an increase in poverty rates related to the stringency of public health and social measures but no significant income-loss differences by sex. Our results indicate that the economic impact of COVID-19 was uneven across countries as a result of different pandemic trajectories, public health and social measures, and vaccination uptake, as well as socioeconomic differences and fiscal responses. Policy makers need to be informed about the trade-offs to make strategic decisions to save lives and livelihoods.

Cost-effectiveness of COVID-19 vaccination in Latin America and the Caribbean: an analysis in Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, and Peru.

OBJECTIVE: Our study analyzes the cost-effectiveness of the COVID-19 vaccination campaigns in Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, and Peru. METHODS: Using a previously published SVEIR model, we analyzed the impact of a vaccination campaign (2021) from a national healthcare perspective. The primary outcomes were quality adjusted life years (QALYs) lost and total costs. Other outcomes included COVID-19 cases, hospitalizations, deaths, and life years. We applied a discount rate of 3% for health outcomes. We modeled a realistic vaccination campaign in each country (the realistic country-specific campaign). Additionally, we assessed a standard campaign (similar, "typical" for all countries), and an optimized campaign (similar in all countries with higher but plausible population coverage). One-way deterministic sensitivity analyses were performed. FINDINGS: Vaccination was health improving as well as cost-saving in almost all countries and scenarios. Our analysis shows that vaccination in this group of countries prevented 573,141 deaths (508,826 standard; 685,442 optimized) and gained 5.07 million QALYs (4.53 standard; 6.03 optimized). Despite the incremental costs of vaccination campaigns, they had a total net cost saving to the health system of US$16.29 billion (US$16.47 standard; US$18.58 optimized). The realistic (base case) vaccination campaign in Chile was the only scenario, which was not cost saving, but it was still highly cost-effective with an ICER of US$22 per QALY gained. Main findings were robust in the sensitivity analyses. INTERPRETATION: The COVID-19 vaccination campaign in seven Latin American and Caribbean countries -that comprise nearly 80% of the region- was beneficial for population health and was also cost-saving or highly cost-effective.

Development and application of a dynamic transmission model of health systems' preparedness and response to COVID-19 in twenty-six Latin American and Caribbean countries.

The global impact of COVID-19 has challenged health systems across the world. This situation highlighted the need to develop policies based on scientific evidence to prepare the health systems and mitigate the pandemic. In this scenario, governments were urged to predict the impact of the measures they were implementing, how they related to the population's behavior, and the capacity of health systems to respond to the pandemic. The overarching aim of this research was to develop a customizable and open-source tool to predict the impact of the expansion of COVID-19 on the level of preparedness of the health systems of different Latin American and the Caribbean countries, with two main objectives. Firstly, to estimate the transmission dynamics of COVID-19 and the preparedness and response capacity of health systems in those countries, based on different scenarios and public policies implemented to control, mitigate, or suppress the spread of the epidemic. Secondly, to facilitate policy makers' decisions by allowing the model to adjust its parameters according to the specific pandemic trajectory and policy context. How many infections and deaths are estimated per day?; When are the peaks of cases and deaths expected, according to the different scenarios?; Which occupancy rate will ICU services have along the epidemiological curve?; When is the optimal time increase restrictions in order to prevent saturation of ICU beds?, are some of the key questions that the model can respond, and is publicly accessible through the following link: http://shinyapps.iecs.org.ar/modelo-covid19/. This open-access and open code tool is based on a SEIR model (Susceptible, Exposed, Infected and Recovered). Using a deterministic epidemiological model, it allows to frame potential scenarios for long periods, providing valuable information on the dynamics of transmission and how it could impact on health systems through multiple customized configurations adapted to specific characteristics of each country.

Argentinian Digital Health Strategy.

Digital Health is one of the three pillars for the effective implementation of Universal Health Coverage in Argentina. The Ministry of Health published the National Digital Health Strategy 2018-2024 in order to establish the conceptual guidelines for the design and development of interoperable health information systems as a state policy. The World Health Organization "National eHealth Strategy Toolkit", "Global Strategy on Digital Health" and other international and local evidence and expert recommendations were taken into account. The path to better healthcare involves adopting systems at the point of care, allowing for the primary recording of information and enabling information exchange through real interoperability. In that way, people, technology and processes will synergize to enhance integrated health service networks. In this paper, we describe the plan and the first two years of implementation of the strategy.

Mi Argentina/Mi Salud: The Argentinian Citizen Digital Health Portal.

The Ministry of Health (MoH) stated the National Digital Health Strategy 2018-2024 in order to establish the conceptual guidelines for the design and development of interoperable health information systems. It included the creation of a National Digital Health Network, and a Citizen Health Portal to inform and empower patients about their rights. For instance, the Digital Vaccination Card is already available and has equal legal validity as its paper version. The platform also works as a personal privacy manager, to configure the consent for Health Information Exchange through the network, or to check the access logs. This paper outlines the implementation experience of this powerful tool at a national level.

Master Patient Index Standardization Patient Search Identification Service (PSIS) of the National Directorate of Health Information Systems (DNSIS) Argentina.

Correct patient identification is the cornerstone for the proper implementation of electronic health records. Up to 20% of the registered patients are duplicated in most systems. Strong identification policies and robust systems can minimize such errors. In this poster we share the Ministry of Health recommendations for the Master Patient Index improvement using search algorithms.

Results of the Use of the Teleconsultation Platform After 2 Months of Implementation.

The Ministry of Health (MoH) set the National Digital Health Strategy 2018-2024 as a state policy. It included a National TeleHealth Plan to enhance access and quality of healthcare in a wide territory like Argentina, leveraging more than 20 years of national telemedicine experiences and coordinating it with the territorial integrated health service networks proposed by the Universal Health Coverage strategy. In collaboration with the Ministry of Modernisation, the MoH developed and implemented a new TeleHealth Web Platform to perform eReferrals and eConsultations nationwide. This poster describes the first 2 months of usage.

Behavioural actions of two new 1-N substituted analogues of melatonin.

Melatonin has been mainly used for alleviating some disorders related with insomnia and circadian rhythmicity. The use of this hormone has been limited, among others, due to its short half-life and instability. This study reports some behavioural actions of two new melatonin analogues that incorporate a phenyl or a benzoyl group at the nitrogen atom of the melatonin molecule. Although diazepam was about 10 times more potent than either of the melatonin analogues, results show that in general these last display better anxiolytic, anticonvulsant and sedative actions than the original molecule.

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. This paper describes the characteristics of our Terminology Server. The most important achievements of our new terminology system are the centralization of knowledge representation, using a much more detailed terminology system. Clinical data entered at any place of the institution and level of care, is represented uniformly through the whole health information system.

Creation and evaluation of a terminology server for the interactive coding of discharge summaries.

Free text entry versus structured data has been proposed as models in data entry in health information systems. A new user interface was developed with the objective of improving data capture. It also implemented a modification of the discharge summary data entry user interface that allowed the selection of already coded terms from a local terminology in the context of an inpatient electronic medical record. This software interacts online with a terminology server to provide feedback on data entry to clinical users in order to automatically code data. To evaluate the impact of this new software, we measured user satisfaction and the impact on autocodification rate. The new system had good acceptance from the users who ranked it high using QUIS (Questionnaire for User Interaction Satisfaction) and the auto codification rate improved from 61.5% to 88.39%.

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. The Interface Terminology is currently used in the recording of diagnosis and procedures in inpatient discharge summaries and its coverage is improving from user feedback. Its current size is 24,800 concepts, 67% of them needed post-coordination for appropriate semantic representation, due to a very flexible policy that allows the use of any number of modifiers on concepts.

Cysticercosis in epileptic patients of Mulungu do Morro Northeastern Brazil

With the aim to study the magnitude of infection by the metacestode of Taenia solium in a population of epileptic patients in the arid region of Bahia, Northeastern Brazil, we examined 200 consecutive cases who attended an ambulatory clinic in the disctrict of Mulungu do Morro. Sixty-six of the patients had a diagnosis of epilepsy. From them 10 (15.2 percent) presented antibodies against a specific fraction of antigens in Western blot, and 4 (6.0 percent) had circulating parasite products, as tested by capture ELISA. Only 1 case was positive for antibodies and antigens. We found that the frequency of seropositivity was related to the time without epileptic seizure. We conclude that cysticercosis is endemic in the region of Mulungu do Morro and that it is related to a benign form of epilepsy