Medical IT Research Articles

Enhancing MAUDE Database Utility by GPT-4 and Cause-Effect Visualization.

The MAUDE database is a valuable public resource for understanding malfunctions and adverse events related to medical devices and health IT. However, its extensive data and complex structure pose challenges. To overcome this, we have developed an automated analytical pipeline using GPT-4, a cutting-edge large language model. This pipeline is intended to efficiently extract, categorize, and visualize safety events with minimal human annotation. In our analysis of 4,459 colonoscopy reports from MAUDE (2011-2021), the events were categorized into operational, human factor, and device-related. Ishikawa diagrams visualized a subset stored in a vector database for easy retrieval and comparison through a similarity search. This innovative approach streamlines access to vital safety insights, reducing the workload on human annotators, and holds promise to enhance the utility of the MAUDE database.

Towards a smart hospital: Smart infrastructure integration

In today’s business world, digital technologies have become vital for implementing processes in any company, including the healthcare industry. By utilizing the latest technologies to collect, process, analyze, and transmit data through smart devices and IT infrastructure, it is possible to implement trends in medicine as a value approach, personalization, predictability, and participation. Considering these trends, it is necessary to develop a methodology for creating a management system for medical organizations that can comprehensively and interconnectively develop various elements of the system. This includes business process systems, information systems and application architectures, hardware, and "smart" medical equipment that can fully participate in hospital information exchange. These elements should be developed within a single model. An architectural approach can be used to create a model of a medical organization. This paper examines the integration of smart infrastructure in medical organizations, develops requirements for smart infrastructure services, and creates architectural models based on the findings and requirements. Architecture models were developed for the following elements of the Smart Infrastructure: smart wards, wearable devices and telemedicine stands as the most necessary elements in everyday healthcare. The key discovery of the study is the architecture models of the mentioned elements and their integration with the medical organization IT architecture, described in the form of visual models and data exchange tables. The proposed models can be used both for further research or for practical implementation as the reference models to check up and adopt to each individual case. The solutions proposed in the paper give an example of open innovation philosophy, as they are developed on the basis of open information about the innovation activities of various medical organizations, and, at the same, time the results themselves are openly published and open for adaptation by the scientific and practicing medical community.

Healthcare Providers’ Readiness to Address Medical Device Cybersecurity within the Irish Healthcare System

Medical devices that can diagnose and treat critically ill patients have become sophisticated and complex. Device manufacturers have been developing these systems to meet market requirements as technology evolves. Combining medical devices and ICT into a distributed medical device IT system can be a solution to incorporating continuous monitoring from the patient bedside to interoperability with a clinical information system. These technology innovations aim to manage patient data and configure medical devices into networked systems that can provide functionality and safety. The implementation of a medical device network solution allows a healthcare provider to take advantage of managing the flow of information to improve clinical work practices and implement a system that can be interoperable with other clinical information systems. International Electrotechnical Commission (IEC) 80001-1 was developed to assist healthcare providers in identifying and managing the risks associated with medical devices sharing the same IT network with other systems and software. This standard defines roles, responsibilities, and activities in relation to the management of risk with medical devices on an IT network. This study aims to determine if the standard International Electrotechnical Commission (IEC) 80001-1 is being implemented and determine familiarity with regulations and appropriate standards and guidance for an effective medical device security risk-management program with Irish healthcare providers. A literature review highlighted the restrictions healthcare providers face in adopting and implementing IEC 80001-1 and the security threats and risks present when integrating medical devices and IT networks. The study research was conducted with clinical engineering members of the Biomedical and Clinical Engineering Association of Ireland (BEAI). This survey targeted BEAI members due to their wealth of experience, knowledge, and skill level in supporting complex medical device systems. An online anonymous survey was created to determine knowledge, awareness, and familiarity with IEC 80001-1 and other medical device security risk-management guidelines. The study research results revealed low knowledge, awareness, and familiarity among research participants with IEC 80001-1 and guidelines on medical device security risk management. These results were consistent with the literature review that a key to the success of standard adoption is collaboration between stakeholders and a multidisciplinary approach to compliance.

IMPACT OF IMPLEMENTING AI IN MEDICAL FIELD

Introduction: AI is a field of great scope and latest leading fame and coming to it in medical field it has been very useful and impactful. Objectives: we can say that the objectives of bringing in artificial intelligence in healthcare applications revolve around maximising AI's capabilities to enhance working capabilities, efficiency, and personalized care delivery to patient’s, ultimately leading to improved patient outcomes and healthcare operation. Review of Literature: A mixer of different papers regarding patient’s, medical field and related things Results: AI in the medical field is critical to the advancement of medical robotic surgery, IT operations, health tracking, and diagnostics using automation, predictive analytics, and data-driven insights to improve efficiency, accuracy, and patient care in a variety of healthcare and technology areas. Discussion: By the study and research we can observe that, artificial intelligence is transforming the healthcare industry in numerous areas giving it various wings. Implementation: Healthcare companies may boost operational effectiveness and implement AI strategies, improve patient outcomes, and provide more individualized and efficient care by utilizing AI technologies. Conclusion: The use of AI in medical field is useful as it acts as a good assistance and support, artificial intelligence (AI) allows healthcare businesses to give the best scope and power. Keywords: Artificial intelligence, predictive analytics, Patient , Clinical decision-making, Management, robotic surgery, healthcare, efficient care.

EDUKASI PENTINGNYA SIMRS DALAM PENERAPAN REKAM MEDIK ELEKTRONIK TERINTEGRASI DI RUMAH SAKIT UMUM SEMBIRING

The objective of this community service is to increase the understanding of the role of Hospital Management Information Systems (SIMRS) and how they contribute to the implementation of integrated Electronic Medical Records (RME) in hospitals. Key stakeholders, such as medical record personnel, IT staff, and hospital management, were involved in the counseling through Focus Group Discussion (FGD). The results of the Focus Group Discussion (FGD) showed that the application of SIMRS while implementing RME improved the quality of healthcare services and operational efficiency of the hospital. Key advantages found included better interdepartmental collaboration, accurate data management, and quick and easy patient access. Stakeholders agreed that education is the best way to maximize the benefits of this system. Medical personnel require specialized training to master the use of SIMRS and RME. The final conclusion of this community service activity is that the utilization of electronic medical records at the Sembirin Hospital facility in Deli Serdang Regency will facilitate employee activities.

Taming Complexity in Cybersecurity of Multihospital Systems: The Role of Enterprise-wide Data Analytics Platforms

A widely accepted notion in cybersecurity practice and research posits that complexity is detrimental to cybersecurity. While this notion mainly focuses on IT, the prevalence of complexity extends beyond IT into organizational domains. Whether the assertion that complexity is detrimental to cybersecurity holds true when applied to organizational domains remains largely unexplored. Moreover, 'complexity' and 'complicatedness' are often used interchangeably to refer to a large number of interconnected components. We build on complexity science to distinguish the two terms: complexity arises from ad-hoc, non-linear interactions among interconnected components whereas complicatedness arises from structured, linear interactions. The field lacks sufficient understanding of these distinctions and their implications for cybersecurity risks and mitigations. We theorize how an organization's complicatedness and complexity in both IT and organizational domains influence cybersecurity breaches. Our context of empirical inquiry is multihospital systems (MHSs), a complex organizational form that uses IT in complex ways. Drawing on complexity science, we posit that complicatedness in medical services, health IT, and governance arrangements of an MHS increases cybersecurity breaches. We also posit that using enterprise-wide data analytics platforms (EWDAP) to structure and control ad-hoc information sharing practices of the complicated units can reduce breaches despite adding more technology components and dependencies to enterprise IT. We test these ideas in a sample of 445 MHSs in the U.S. spanning from 2009 to 2017. Complicatedness in medical services, health IT, and governance stands out as the primary contributor to cybersecurity breaches in MHSs. Ad-hoc, non-linear interactions contribute to complexity and exacerbate the cybersecurity breach effects of complicatedness. In contrast, structured interactions, exemplified by patient data sharing through EWDAP, achieve simplification and mitigate the cybersecurity breaches associated with complicatedness.

Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel

Radiology is a major contributor to health care's impact on climate change, in part due to its reliance on energy-intensive equipment as well as its growing technological reliance. Delivering modern patient care requires a robust informatics team to move images from the imaging equipment to the workstations and the health care system. Radiology informatics is the field that manages medical imaging IT. This involves the acquisition, storage, retrieval, and use of imaging information in health care to improve access and quality, which includes PACS, cloud services, and artificial intelligence. However, the electricity consumption of computing and the life cycle of various computer components expands the carbon footprint of health care. The authors provide a general framework to understand the environmental impact of clinical radiology informatics, which includes using the international Greenhouse Gas Protocol to draft a definition of scopes of emissions pertinent to radiology informatics, as well as exploring existing tools to measure and account for these emissions. A novel standard ecolabel for radiology informatics tools, such as the Energy Star label for consumer devices or Leadership in Energy and Environmental Design certification for buildings, should be developed to promote awareness and guide radiologists and radiology informatics leaders in making environmentally conscious decisions for their clinical practice. At this critical climate juncture, the radiology community has a unique and pressing obligation to consider our shared environmental responsibility in innovating clinical technology for patient care.

Implementation of Electronic Medical Records at Primary Care in Semarang City Region: An Analysis of Individual and Organisational Determinants

Implementing electronic medical records (EMR) in Puskesmas faces various challenges and barriers that hinder system users. This study aims to identify the effects of individual and organizational factors on the implementation of EMR in Puskesmas located in Semarang City. The study was designed as a cross-sectional study and was conducted between August and September 2023. Participants were selected from five health centres representing five regions of Semarang city, and included 46 health professionals, including physicians, nurses, midwives, medical record keepers and IT staff. The survey was taken from a standardized questionnaire based on the Technology Acceptance Theory and Institutional Theory. The results showed that 34% of the respondents were between 20 and 30 years old, where 76.1% were female and 52.2% had a bachelor's degree, and were dominated by nurses, where the majority had 1-5 years of experience. The constant (a) of 1.770 indicates the value of the independent variables in increasing EMR usage. The regression coefficient of the individual factor variable of 0.207 has a positive effect on EMR implementation. Organisational factors negatively affect the implementation of EMR use. The test results found that individual factors partially and significantly (0.005 <0.05) affect the implementation of EMR utilised.

Multi-Agent Systems Requirements Analysis for Patient-centered Healthcare Consultancy Service

Agents are currently being discussed in nearly every domain of science and engineering. Through the utilization of IoT and agent-based systems, remote consultations and virtual doctors can provide essential healthcare services by analyzing patient data and medical history. The purpose of this paper is provide an analysis the requirements for multi-agent systems in patient-centered health consultancy services in Kenya. It focuses on various agent types, including hardware, hospital, human, software, database/storage, and technological/framework agents. For hardware, computers, laptops, and mobile devices need specific processing power, memory, network connectivity, storage, and security. Medical equipment must prioritize accuracy, reliability, integration with records, and regulatory compliance. Networking requires high-speed internet, security, and redundancy. Hospital agents offer comprehensive inpatient and outpatient care, categorized into general, mental health, and specialized hospitals. Human agents, like medical specialists, IT professionals, and administrators, play essential roles in healthcare consultancy. Software agents encompass Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), Telemedicine platforms, and more. Database/storage agents include EHRs, Health Information Exchange (HIE) systems, and data encryption. Technological/framework agents involve health information systems, telemedicine platforms, decision support systems, and health data analytics frameworks. These agents enable efficient data management, remote care, evidence-based decisions, and secure data exchange.

Effects of Continuous Security Monitoring on Security Controls of Electronic Health Records in Public Hospitals, Tanzania

This paper examines the effects of continuous security monitoring on the security of electronic health records in Tanzanian public hospitals. The study adopted a cross-sectional research design and quantitative research approach using a sample of 300 respondents from the six public hospitals in Tanzania. A questionnaire was used to collect data from the main users of EHRs such as medical doctors, IT officers, nurses, pharmacists, laboratory technologists, record officers and administrative officers. A multiple linear regression model was used to evaluate the effects of continuous security monitoring on the security of electronic health records in Tanzanian public hospitals. The findings revealed that continuous security monitoring is a significant predictor of the security of electronic health records in Tanzanian public hospitals, (B= .509, p< 0.001). This implies that, continuous security monitoring explains 50.9% of the variance in security of electronic health records in Tanzanian public hospitals. Based on this finding, is recommended that, to enhance effective security controls in electronic health records, public hospitals in Tanzanian should consider the adoption of continuous security monitoring by making security controls more automated

Organizational Resilience: Case Study of SGPROD medical IT Company

Organizational resilience has become a crucial topic in management literature (Cyrulnik and Jorland 2012) as organizations face an increasingly volatile, uncertain, complex, and ambiguous (VUCA) environment (Boulay et al. 2021). In such an environment, organizations that are resilient are more likely to survive and thrive, while those that are not at risk of failure (Giordano-Spring et al. 2022). While organizational resilience is a multidimensional and interdisciplinary concept, one important aspect is the role of individuals in the resilience management process, specifically the levers of the manager-leader and associated behaviors (Frimousse and Peretti 2021). The objective of this working paper is to examine and analyze a case study of organizational resilience, with a focus on the role of individuals, particularly managers (Nekka and Assens 2020), in the resilience management process. The study is based on the author's personal experience of managing an SME medical IT company for over 20 years. The author highlights the importance of effective communication, emotional intelligence, and ethical leadership in building a resilient organization. This case study presents a comprehensive synthesis of empirical data from the author's experience and highlights key factors that contributed to the success of the organization. These factors include: Effective communication: The author emphasizes the importance of communication in building a resilient organization. He stresses the need for active meetings, a broad language specific to humans, and emotional intelligence that allows individuals to anchor their "employee experience" and "collective experience." The author notes that positive and ethical emotions can imprint relationships, define behaviors, and build a reassuring psychological environment (Brillet and Nicolas 2014). Ethical leadership: The author highlights the importance of ethical leadership in building a resilient organization. He suggests that ethical leadership generates a very powerful organizational resilience capable of resisting violent attacks, such as attempts to poach talents from the organization (Bruna and Jahmane 2020). Emotional intelligence: The author notes that emotions play a crucial role in building resilience in organizations (Berghmans 2018). He suggests that if emotions are positive and ethical, they can create a cultural bath that reveals talents and inspires individuals to work together towards common goals (Sghari et al. 2015). The research also proposes a new section of the process communication model to align management communication 3.0 with the specific expectations of Generation Z (Dalmas 2019). The article suggests that this is important in preparing for future challenges and ensuring organizational resilience. Overall, the paper aims to provide insights into the mechanisms of organizational resilience and the role of individuals, particularly managers, in building and maintaining resilient organizations (Weppe et al. 2013). It also aims to highlight the importance of effective communication, ethical leadership, and emotional intelligence in creating a positive and reassuring environment that can withstand challenges and inspire individuals to work together towards common goals (Albertini and Berger-Remy 2019).

Информационные технологии на службе трансформации медицинского образования, медицинской науки и телемедицины Приложение. Проект бизнес-акселератора «Лаборатория медицинских проектов»

Digital transformation also plays a special role in the strategic renewal of a modern medical university. We are talking not only about re-equipping IT resources in medical education, but also about a kind of resetting the potential of a medical worker, upgrading his professional capital, modernizing the corporate culture, socialization, communication, and optimizing all his internal processes. The purpose of the study is to summarize the experience of organizing and creating a set of interrelated events designed to involve and train students in the skills of using effective information technologies in order to successfully master the curriculum in the context of the digital transformation of medical education. The methodological basis of this study was system-activity, competency-based, informational, individually differentiated approaches. The basis of the research materials was the results of the activities of students and teachers of the Ural State Medical University (USMU). Data on the dynamics of the number of students' involvement, their reports on the topic of the direction, the expansion of the range of research topics, the dynamics of the number of student publications, lectures and master classes by members of the expert council and involved medical IT specialists were used. In general, for four years at the USMU a team of expert teachers interested in the active development of this area at the university has been created. It was possible to attract to work a large number of students from USMU, other universities in Russia and neighboring countries. The study revealed the effectiveness of the work carried out at the USMU in the direction of "Information technologies for the digital transformation of medical education, medical science and telemedicine". The main problems and contradictions in the development of digital literacy and the interest of students and teachers of a medical university are identified, and directions for its improvement are identified.

The state of the electrical sector in Western Balkan countries. Case study: Republic of Kosovo

The electricity sector around the world is considered one of the most important sectors, which has a direct impact on the economic development of a country. Based on the increase in energy consumption, the crisis with the emission of high levels of harmful gases - the greenhouse effect and the expansion at the economic level of countries, electricity, namely the increase of energy capacity will remain key issues for future discussion at the global level. Electricity is the engine of the rapid economic development of a country; necessarily the well-being of citizens to access to energy sources and energy stability is a key requirement of every consumer, producer or economic operator. How much capacity do countries in the world have to respond to the increase in energy consumption in the future and what sources will be oriented so that the consequences are minimal for the environment, is a question that needs continuous detailed study and concrete approaches from relevant institutions and professionals in this field. Security in electricity supply is essential for our society and necessary for the 24/7 principle for the digital economy. The recent difficulties caused by the Covid-19 pandemic remind us of the great importance of electricity in all aspects of our lives, from the availability of medical equipment and IT systems - for work from home as a growing trend of systemizing jobs during 2020. Ensuring a secure and reliable electricity supply is of paramount importance to all countries in the world. Considering the Western Balkans as one of the regions which since the 90s most of it has been an area which has emerged from devastating wars and which have affected every sphere, including the energy sector. So, the development of the energy sector is one of the most critical issues in the Western Balkans region. Based on the considerable potential of electricity production from renewable sources, it is considered that the production of electricity from RES will create a stable and functional system of energy production by contributing to the principle of diversification of electricity production and decentralization of the power system. So, renewable energy is considered a promising method for building sustainable and resilient energy systems that provide affordable energy to boost a region economic development, reducing import dependence. The purpose of this scientific research is to discuss the development and current state of electricity production from renewable sources in the Western Balkans, with special emphasis on the Republic of Kosovo. Considering that all Western Balkan countries have set targets or targets for RES in their energy policies but not always these pre-defined targets are easily achievable in practice due to thevarious challenges facing the energy sector in this region.

Relative Advantage of Mobile Medical Care (MMC) Aplication Services at Hospital

The purpose of this study is to determine, describe and analyze the relative advantages of Mobile Medical Care (MMC) services. Qualitative descriptive research method through interviews, observation and documentation. Determination of informants was carried out by purposive sampling method which involved the Head of Medical Records, IT officers, KAURBIN and users of Mobile Medical Care (MMC) application services. Data analysis techniques using Miles and Hubberman through data collection, data reduction, data presentation, drawing conclusions. The results of this study indicate that the service of this relative advantage is indicated by the speed of response to each incoming registration.

Nasal Carriage of Methicillin-resistant Staphylococcus Aureus) Mrsa) among Medical And Non-medical Students of Sheikhan-polytechnique College And Technical Institute, Iraq

Background and Aims In population, Staphylococcus aureus is present in the nasal vestibule of 35%-50% and one tenth of these are methicillin resistant S aureus (MRSA). This study aimed to investigates the prevalence of MRSA nasal carriage among students of Sheikhan-Polytechnique College (Public health and Medical laboratory technology Department) and Technical Institute (TI). Methods: During December 2018 to February 2019 data collection has been achieved. About 150 students are screened, 66 were males and 84 females with age ranged (18-24 years).  A cross-sectional study was conducted and 150 nasal swabs were taken from students groups of several grades in various departments (Public Health, Medical laboratory technology and IT department). The   samples were examined through standard microbiological methods. Antibiotic susceptibility tests for all isolates were checked for methicillin resistance using disk diffusion agar. Molecular characterization using PCR test targeting mecA gene was studied. Results: The overall prevalence of MRSA was 27(18%), (12 males and 15   females). High prevalence found among public health students 12/27(44.4%) followed by information technology 9/27(33.3%) and less 6/27(22.2) cases in laboratory technology students. Students of first grade followed by second grade of various departments recorded high rates than third and fourth grade (12, 9, 3 and 3, respectively). Moreover, MRSA was higher among those students that live within their family 19/27(70.3%) than those that live in hostels 8/27(29.6%) and negative in those that live with family relatives. Out of 28 MRSA isolate 14(51.8%) were positive for mecA gene and public health students accounted more carriage 8/14 (57.1%). Conclusions:  This study highlighted that students of several grades of medical study are more carriers and should admit enough information concerning control measures to limit contaminate with this pathogen

Record linkage based patient intersection cardinality for rare disease studies using Mainzelliste and secure multi-party computation

BackgroundThe low number of patients suffering from any given rare diseases poses a difficult problem for medical research: With the exception of some specialized biobanks and disease registries, potential study participants’ information are disjoint and distributed over many medical institutions. Whenever some of those facilities are in close proximity, a significant overlap of patients can reasonably be expected, further complicating statistical study feasibility assessments and data gathering. Due to the sensitive nature of medical records and identifying data, data transfer and joint computations are often forbidden by law or associated with prohibitive amounts of effort. To alleviate this problem and to support rare disease research, we developed the Mainzelliste Secure EpiLinker (MainSEL) record linkage framework, a secure Multi-Party Computation based application using trusted-third-party-less cryptographic protocols to perform privacy-preserving record linkage with high security guarantees. In this work, we extend MainSEL to allow the record linkage based calculation of the number of common patients between institutions. This allows privacy-preserving statistical feasibility estimations for further analyses and data consolidation. Additionally, we created easy to deploy software packages using microservice containerization and continuous deployment/continuous integration. We performed tests with medical researchers using MainSEL in real-world medical IT environments, using synthetic patient data.ResultsWe show that MainSEL achieves practical runtimes, performing 10 000 comparisons in approximately 5 minutes. Our approach proved to be feasible in a wide range of network settings and use cases. The “lessons learned” from the real-world testing show the need to explicitly support and document the usage and deployment for both analysis pipeline integration and researcher driven ad-hoc analysis use cases, thus clarifying the wide applicability of our software. MainSEL is freely available under: https://github.com/medicalinformatics/MainSELConclusionsMainSEL performs well in real-world settings and is a useful tool not only for rare disease research, but medical research in general. It achieves practical runtimes, improved security guarantees compared to existing solutions, and is simple to deploy in strict clinical IT environments. Based on the “lessons learned” from the real-word testing, we hope to enable a wide range of medical researchers to meet their needs and requirements using modern privacy-preserving technologies.

About The Author

About The Author

Analysis of a post covid multi-disciplinary meeting operating in a digitally supportive virtual platform.

e13645 Background: The BCCE is an NAPBC internationally accredited unit operating around a surgical oncology breast specialist surgeon, three reconstructive surgeons; four radiological units four pathology labs; 8 medical oncologists and 3 radiation oncologists. Whilst the centre was affected by the SARS Covid-19 pandemic, a rapid restructuring of the MDM procedure allowed for a return to -pre-pandemic service delivery and optimum time-to-treatment of 21days. Methods: Over the 2021 period the BCCE saw 778 newly diagnosed cancer patients, these are all reviewed at a 25 member MDM with 308 patients having full radiological review during the meetings and 609 full pathological reviews prior to treatment discussion amongst the members. These MDM discussions occurred within 6 days of clinical examination due to the integration of multiple specialists and facilities resulting in rapid appointments. Further pathological analysis of 203 patients occurred beyond initial presentation as well as over 350 OncotypeDx reviews. Five hundred and seventy-one individual patient treatment feedback discussions occurred directly postoperatively and 459 treatment plans were reviewed prior to secondary treatment pathways. Results: Digital MDM’s resulted in a full return to the centre’s optimum level of care, a 7 day MDM review with a 21-day treatment pathway plan proposal, whilst still under the effect of pandemic lockdown regulations. A 6-month comparison (during lockdown regulations) showed a 15% increase in patients seen whilst supported with virtual consultation platforms and digitally supported MDM decisions. Conclusions: Whilst the SARS Covid-19 pandemic affected service delivery. Medical IT transference to full digital MDM allowed for improved review and treatment planning. This improved service delivery to patients with physician and navigator knowledge transfer, resulting in growth of the unit.

Medical Software

Software-driven innovation is the call of the day. This is specifically visible in medical technologies where several technology trends meet, such as the convergence of product IT and business IT, stringent safety and governance requirements, and not least a high market pressure to bring new technologies to the market with competitive pricing. These are enough reasons to learn more about current trends and innovation in medical IT and medical software products.

VitalCore: Analytics and Support Dashboard for Medical Device Integration.

Medical professionals spend extensive time collecting, validating, reviewing, and analyzing medical device data. These devices use vendor-specific applications with lengthy troubleshooting times, causing extended downtimes where medical professionals have to manually document patient data in the electronic health record (EHR). Manual logging of this data creates delays and leaves it vulnerable to errors, manipulation, and omissions. In this paper, we present VitalCore, a medical device integration platform that supports access to medical device data in real-time. We deploy VitalCore in three applications at Penn Medicine: Medical Device Dashboard, Ventilation Alert, and Anomaly Detector. In the Medical Device Dashboard, we reduced, by up to six times, the amount of time required of medical professionals, clinical engineers, and IT analysts by simplifying the troubleshooting workflow, thus decreasing downtimes and increasing clinical productivity. In Ventilation Alert, we demonstrated the ability to assist medical professionals by alerting them to newly ventilated patients. In Anomaly Detector, we showed that we could predict anomalous patterns in our data with 93% accuracy.