Integrating Dermoscopic Images into PACS Using DICOM and Modality Worklist.

Dermatology is one of the medical fields outside the radiology service that uses image acquisition and analysis in its daily medical practice, mostly through digital dermoscopy imaging modality. The acquisition, transfer, and storage of dermatology images has become an important issue to resolve. We aimed to describe our experience in integrating dermoscopic images into PACS using DICOM as a guide for the health informatics and dermatology community. During 2022 we integrated the video dermoscopy equipment through a strategic plan with an 8-step procedure. We used the DICOM standard with Modality Worklist and Storage commitment. Three systems were involved (video dermoscopy software, the EHR, and PACS). We identified critical steps and faced many challenges, such as the lack of a final model of DICOM standard for dermatology images.

Unscheduled Emergency Department Revisits Within 48 Hours of Discharge.

This study aimed to analyze early revisits (within 48 hours of discharge) in an Emergency Department. Among the 178,295 visits, 11,686 were revisits, resulting in a rate of 6.55% (95%CI 6.43-6.67). A total of 1,410 revisits required hospitalization, and 252 were due to preventable errors (17.87%). These errors were mainly related to an inadequate therapeutic plan at discharge (47.22%), an incomplete diagnostic process (29.37%), and misdiagnoses (13.10%). These findings represent a technology-enabled clinical audit tool. Electronic Healthcare Records have the potential to: provide quality metrics of hospital performance, help to keep revisit rates updated (assessment through a real-time dashboard), and improve clinical management (by transparency initiatives about errors, and a supportive learning environment regarding lessons learned).

Improving Waiting Time for Chemotherapy with Ahead-of-Time Drug Preparation.

Waiting time for chemotherapy infusion is a fundamental factor to measure quality of care. It has been shown that a prolonged waiting time is related to a higher incidence of anticipatory nausea and poor patient adherence to scheduled appointments and recommended oncology treatment programs. Some chemotherapy regimens can be prepared hours ahead-of-time, due to long stability. We aimed to study the effect of an informatic-led workflow redesign intervention, facilitating workflow changes in the Oncology Pharmacy, on patient waiting time. This intervention included changes on EHR processes and the chemotherapy CPOE. Their main effect was allowing ahead-of-time preparation of selected chemotherapy regimes. We conducted a cross sectional study, comparing waiting times pre and post intervention periods. A total of 4600 programmed chemotherapy episodes were included. We found a 26.5 % decrease in the mean wait time in the post intervention period (p > 0.02). We were able to show a decrease in waiting time and a measurable impact of the intervention. This evaluation produced valuable and actionable data for Oncology units and adds a valuable, Latin American experience to the literature.

Neural inference at the frontier of energy, space, and time.

Computing, since its inception, has been processor-centric, with memory separated from compute. Inspired by the organic brain and optimized for inorganic silicon, NorthPole is a neural inference architecture that blurs this boundary by eliminating off-chip memory, intertwining compute with memory on-chip, and appearing externally as an active memory chip. NorthPole is a low-precision, massively parallel, densely interconnected, energy-efficient, and spatial computing architecture with a co-optimized, high-utilization programming model. On the ResNet50 benchmark image classification network, relative to a graphics processing unit (GPU) that uses a comparable 12-nanometer technology process, NorthPole achieves a 25 times higher energy metric of frames per second (FPS) per watt, a 5 times higher space metric of FPS per transistor, and a 22 times lower time metric of latency. Similar results are reported for the Yolo-v4 detection network. NorthPole outperforms all prevalent architectures, even those that use more-advanced technology processes.

A multi-firearm, multi-orientation audio dataset of gunshots.

Early detection of firearm discharge has become increasingly critical for situational awareness in both civilian and military domains. The ability to determine the location and model of a discharged firearm is vital, as this can inform effective response plans. To this end, several gunshot audio datasets have been released that aim to facilitate gunshot detection and classification of a discharged firearm based on acoustic signatures. However, these datasets often suffer from a lack of variety in the orientations of recording devices around the source of the gunshot. Additionally, these datasets often suffer from the absence of proper time synchronization, which prevents the usage of these datasets for determining the Direction of Arrival (DoA) of the sound. In this paper, we present a multi-firearm, multi-orientation time-synchronized audio dataset collected in a semi-controlled real-world setting - providing us a degree of supervision - using several edge devices positioned in and around an outdoor firing range.

A 2-pyridone amide inhibitor of transcriptional activity in Chlamydia trachomatis.

Chlamydia trachomatis is a strict intracellular bacterium that causes sexually transmitted infections and eye infections that can lead to life-long sequelae. Treatment options are limited to broad-spectrum antibiotics that disturb the commensal flora and contribute to selection of antibiotic-resistant bacteria. Hence, development of novel drugs that specifically target C. trachomatis would be beneficial. 2-pyridone amides are potent and specific inhibitors of Chlamydia infectivity. The first generation compound KSK120, inhibits the developmental cycle of Chlamydia resulting in reduced infectivity of progeny bacteria. Here, we show that the improved, highly potent second-generation 2-pyridone amide KSK213 allowed normal growth and development of C. trachomatis and the effect was only observable upon re-infection of new cells. Progeny elementary bodies (EBs) produced in the presence of KSK213 were unable to activate transcription of essential genes in early development and did not differentiate into the replicative form, the reticulate body (RB). The effect was specific to C. trachomatis since KSK213 was inactive in the closely related animal pathogen C. muridarum and in C. caviae The molecular target of KSK213 may thus be different in C. trachomatis or non-essential in C. muridarum and C. caviae Resistance to KSK213 was mediated by a combination of amino acid substitutions in both DEAD/DEAH RNA helicase and RNAse III, which may indicate inhibition of the transcriptional machinery as the mode of action. 2-pyridone amides provide a novel antibacterial strategy and starting points for development of highly specific drugs for C. trachomatis infections.

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. We identified the top 10 most widely used and most expensive tests. Additionally we noticed that the labs seemed to continually increase. Then, we found that 27% of the consultations have at least one item of laboratory practice between January and February 2020, and this represents more than 80% of the consultation costs. Health care spending has reached epic proportions globally. We think that it is time to rethink effective strategies. Maybe it is time to deactivate/remove electronic order sets (EOSs) and the functionality to develop and create their own "private" order sets, in order to eliminate waste and inefficiencies.

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. This article shares our experience with the design and implementation of a Mobile Application with EMR functionalities for the Homecare setting of the Hospital Italiano de Buenos Aires network.

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. Adequate Electronic Logistic Management Information Systems, Immunization Registries and Records are crucial for proper data collection and analysis, and for making better decisions at an individual and at a population level. In this paper we share our experience in the redesign of an interoperable immunization record to track vaccination, including the recently developed vaccines for the novel coronavirus SARS-CoV-2 (COVID-19).

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. 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.

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). Recurrence was defined as those who presented a second event, with at least 2 hours of difference. We included 1884 patients, and 573 presented recurrences, yielding a global prevalence of 30.41% (95%CI 28.34-32.54). Due to the high frequency, it is important to identify vulnerable populations, to implement preventive measures to assist clinicians for decision-making tasks, as a clinical decision support system.

Clinical Decision Support System for PIM in Elderly Patients: Implementation and Initial Evaluation in Ambulatory Care.

The high prevalence of PIMs in elderly is a major healthcare concern and indicates the need for medication monitoring systems. Most PIM CDSS have shown positive effects respecting PIM prescription but these results were more consistently in hospital settings compared with ambulatory care. We describe the post-implementation evaluation of a PIM CDSS for general practitioners (GP) in the ambulatory setting and explore GP interactions with the PIM alerts. The CDSS generated 3218 unique alerts and involved 2863 elderly patients. Benzodiazepines was the drug with the most alerts triggered. Only 129 (4 %) were opened by GP during patient appointments. We need to develop an understanding of how alerts should be designed and display information to support the workflow of general practitioners. Pos-implementation evaluations are the key of CDSS improvements.

Adherence to Growth Hormone Treatment Using a Connected Device in Latin America: Real-World Exploratory Descriptive Analysis Study.

BACKGROUND: Recombinant human growth hormone (rhGH) therapy is an effective treatment for children with growth disorders. However, poor outcomes are often associated with suboptimal adherence to treatment. OBJECTIVE: The easypod connected injection device records and transmits injection settings and dose data from patients receiving rhGH. In this study, we evaluated adherence to rhGH treatment, and associated growth outcomes, in Latin American patients. METHODS: Adherence and growth data from patients aged 2-18 years from 12 Latin American countries were analyzed. Adherence data were available for 6207 patients with 2,449,879 injections, and growth data were available for 497 patients with 2232 measurements. Adherence was categorized, based on milligrams of rhGH injected versus milligrams of rhGH prescribed, as high (≥85%), intermediate (>56%-<85%), or low (≤56%). Transmission frequency was categorized as high (≥1 per 3 months) or low (<1 per 3 months). Chi-square tests were applied to study the effect of pubertal status at treatment start and sex on high adherence, and to test differences in frequency transmission between the three adherence levels. Multilevel linear regression techniques were applied to study the effect of adherence on observed change in height standard deviation score (∆HSDS). RESULTS: Overall, 68% (4213/6207), 25% (n=1574), and 7% (n=420) of patients had high, intermediate, and low adherence, respectively. Pubertal status at treatment start and sex did not have a significant effect on high adherence. Significant differences were found in the proportion of patients with high transmission frequency between high (2018/3404, 59%), intermediate (608/1331, 46%), and low (123/351, 35%) adherence groups (P<.001). Adherence level had a significant effect on ∆HSDS (P=.006). Mean catch-up growth between 0-24 months was +0.65 SD overall (+0.52 SD in patients with low/intermediate monthly adherence and +0.69 SD in patients with high monthly adherence). This difference translated into 1.1 cm greater catch-up growth with high adherence. CONCLUSIONS: The data extracted from the easypod Connect ecosystem showed high adherence to rhGH treatment in Latin American patients, with positive growth outcomes, indicating the importance of connected device solutions for rhGH treatment in patients with growth disorders.

De la presencialidad a la virtualidad en tiempos de pandemia: la experiencia del Hospital Italiano de Buenos Aires / From face-to-face to virtuality in pandemic times: the experience of the Hospital Italiano de Buenos Aires

El 11 de marzo de 2020, la Organización Mundial de la Salud (OMS) declaró el COVID-19 como pandemia, afectando drásticamente la atención de la salud. A nivel global se adoptaron medidas como el distanciamiento social y la cuarentena. Ello representó un enorme desafío para los Sistemas de Información en Salud (SIS), que rápidamente debieron adaptarse, frente a una razón ineludible para abrazar por completo la transformación digital. Surge la necesidad de explorar las tecnologías digitales utilizadas durante la pandemia y considerarlas para su uso continuado en el tiempo o cíclicamente en caso de brotes recurrentes. Las herramientas informáticas se han utilizado para la prestación de servicios de telemedicina, monitorización remota de pacientes, comunicación digital entre líderes políticos y autoridades científicas, monitorización de datos para analizar la propagación y evolución del COVID-19, etc. Los países y organizaciones han impulsado el uso de soluciones tecnológicas con distintas limitaciones. El Hospital Italiano de Buenos Aires posee una trayectoria de más de 20 años en implementaciones e innovaciones tecnológicas; sin embargo, la pandemia impulsó una serie de adaptaciones en su SIS. El objetivo de este trabajo fue describir dicho proceso de adaptación digital desde marzo a diciembre de 2020, e identificar los principales resultados utilizando un modelo sociotécnico. Se empleó el modelo de Sittig que incluye 8 dimensiones: Infraestructura, Contenido clínico, Interfaz Humano-computadora, Personas, Comunicación y procesos, Regulaciones, Características organizacionales y Políticas internas y Medición y monitorización. (AU)

On March 11, 2020, the World Health Organization (WHO) declared COVID-19 a pandemic, dramatically affecting health care. Measures such as social distancing and quarantine were adopted globally. This new context represented a huge challenge for Health Information Systems (HIS) that had to adapt quickly, facing an inescapable reason to fully embrace the digital transformation. There is a need to explore the digital technologies used during the pandemic and consider them for continued use over time or cyclically in the event of recurring outbreaks. Digital tools have been used for the provision of telemedicine services, remote patient monitoring, digital communication between political leaders and scientific authorities, data monitoring to analyze the spread and evolution of COVID-19, etc. Countries and organizations have promoted the use of technological solutions with different limitations. The Hospital Italiano de Buenos Aires has a history of more than 20 years in technological implementations and innovations, however, the pandemic prompted a series of adaptations in its SIS. The objective of this work was to describe said digital adaptation process from March to December 2020, and to identify the main results using a sociotechnical model. Sittig´model was used, which includes 8 dimensions: Infrastructure, Clinical Content, Human-Computer Interface, People, Communication and Processes, Regulations, Organizational Characteristics and Internal Policies, and Measurement and Monitoring. (AU)

A Path to Inclusion: Design and Prototype of Transgender Identity in an Electronic Health Record.

With the purpose of reducing discrimination on gender, the Department of Health Informatics of the Hospital Italiano de Buenos Aires (HIBA) developed changes in its Patient Master Index to register chosen name and self-perceived gender identity. To improve the visualization of information related to the identity of each person to provide comprehensive quality care, it was decided to modify the impact of this information on the EHR. For this, prototypes were developed with changes in the patient identification module and then user-tests were carried out.

Challenges and Best Practices in Ethical Review of Human and Organizational Factors Studies in Health Technology: a Synthesis of Testimonies.

OBJECTIVE: Human and Organizational Factors (HOF) studies in health technology involve human beings and thus require Institutional Review Board (IRB) approval. Yet HOF studies have specific constraints and methods that may not fit standard regulations and IRB practices. Gaining IRB approval may pose difficulties for HOF researchers. This paper aims to provide a first overview of HOF study challenges to get IRB review by exploring differences and best practices across different countries. METHODS: HOF researchers were contacted by email to provide a testimony about their experience with IRB review and approval. Testimonies were thematically analyzed and synthesized to identify and discuss shared themes. RESULTS: Researchers from seven European countries, Argentina, Canada, Australia, and the United States answered the call. Four themes emerged that indicate shared challenges in legislation, IRB inefficiencies and inconsistencies, general regulation and costs, and lack of HOF study knowledge by IRB members. We propose a model for IRB review of HOF studies based on best practices. CONCLUSION: International criteria are needed that define low and high-risk HOF studies, to allow identification of studies that can undergo an expedited (or exempted) process from those that need full IRB review. Enhancing IRB processes in such a way would be beneficial to the conduct of HOF studies. Greater knowledge and promotion of HOF methods and evidence-based HOF study designs may support the evolving discipline. Based on these insights, training and guidance to IRB members may be developed to support them in ensuring that appropriate ethical issues for HOF studies are considered.

Does the neuropsychiatric inventory predict progression from mild cognitive impairment to dementia? A systematic review and meta-analysis.

BACKGROUND: Neuropsychiatric Symptoms (NPS) are common in Mild Cognitive Impairment (MCI). The Neuropsychiatric Inventory (NPI) and its shorter version, the Neuropsychiatric Inventory Questionnaire (NPI-Q), are the most common measures to assess NPS. Our objective was to determine if NPI/NPI-Q ratings predict conversion from MCI to dementia. METHODS: Empirical longitudinal studies published in English or Spanish, concerned with the role of NPS as a risk factor for conversion from MCI to dementia, with a diagnosis of MCI following clinical criteria, that reported NPI/NPI-Q total score in converters versus non-converters, were included. Random effects models were used, and heterogeneity was explored with stratification and a random-effects meta-regression. The overall conversion rate and the standardized mean difference (SMD) for evolution, as a function of NPI/NPI-Q scores, were calculated. RESULTS: The overall conversion rate was 35 %. Mean NPI/NPI-Q ratings were higher in converters versus in non-converters, with the overall SMD approaching significance. Heterogeneity was observed in studies of more than two years of follow-up and in a study with a mean age of more than 80 years. This heterogeneity concerned the size, not the direction of the difference. CONCLUSIONS: Our results suggest that NPI/NPI-Q ratings are associated with conversion from MCI to dementia.

Design and Implementation of a Tool for Pharmacists to Register Potential Errors in Prescribed Medication.

Adverse drug events are frequent and may be mitigated with the implementation of functionalities within Health Information Systems. We developed a tool that allows Pharmacists to register and communicate to providers potential errors in prescribed drugs in terms of medication omission, unjustified stop of medication or other reasons. We included all interventions performed by Pharmacists for admitted patients between July, 31st 2018 and October, 23rd 2018. During the study period, 193 interventions were carried out by Pharmacists. 117 (60%) were intended for registering medication omission, 7 (4%) for unjustified stop of medication and 69 (36%) for other reasons. 112 interventions lead to the provider performing the suggested action (58%), 77 (40%) were rejected and 4 (2%) required no action. Although there were errors in the use of the tool, a great amount of interventions were accepted, thus representing a better quality of care for patients.

Decision Support Tools for Drugs Prescription Process in a Hospital in Argentina.

While medications can improve the health of patients, the prescription process is complex and prone to errors. The structured medical order entry systems (CPOE) with clinical decision support (CDS) are increasingly implemented to improve patient safety, however the organizations that decide to implement them will have several challenges: understanding which classes of CDS can admit their systems, ensure that clinical knowledge is adequate and design tools for proper monitoring. We share our experience of over ten years of development and implementation of clinical decision support tools during drugs prescription process and tools that have allowed us to monitor them correctly.

Evaluating the Performance of a Terminology Search Engine Using Historical Data.

Clinical terms are noisy descriptions typed by healthcare professionals in Spanish language in the electronic health record system (EHR). Thus, an evaluation of terminology search engine that extends SNOMED CT and an approach that uses historical data of clinical terms is described. We show how to measure precision and recall using historical search data, and we show how the performance of the search engine can be improved significantly using the technology available in the search engine.