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Correlation between an Independent electronic health record &External Ranking of Children’s Hospitals

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health 2021年第2期13卷 81-89页

作者： Lane F. Donnelly David Scheinker Natalie M. Pageler Andrew Y. Shin Lucile Packard Children’s Hospital Stanford Stanford Children’s Health Stanford California USA Department of Pediatrics School of Medicine Stanford University Stanford California USA Department of Radiology School of Medicine Stanford University Stanford California USA

Introduction: To evaluate the correlation between the presence of an independent EHR (compared to a shared EHR system within an adult hospital system) and an externally-derived third party ranking of children’s hospitals. Methods: Children’s hospitals that ranked in the top fifty of the 2019-2020 US News and World Report (USNWR) were included in the analysis. The mean and median ranking of children’s hospitals with independent versus a shared EHR was evaluated. The 2019-2020 USNWR rankings of the top twenty adult hospitals in the United States were then evaluated. For each children’s hospital with an associated adult hospital that was both ranked, it was noted as to whether the EHR for the children’s hospital was independent or shared and statistical differences in rankings compared. Results: Among the top 50 children’s hospitals included, the median USNWR ranking for hospitals was statistically different with an independent EHR than with a shared EHR (13 vs. 30.0) (p = 0.002). The 21 top ranked adult hospitals were associated with 17 children’s hospitals ranked in the top 50. The median ranking for those with an independent EHR was statistically different for those with independent EHR versus shared EHR (7 vs. 28) (p = 0.002). Conclusion: Children’s hospitals with an independent EHR are associated with higher scores on an independent external ranking of hospital quality compared to those which share an EHR with a partner adult hospital.

关键词： electronic health record Quality Pediatrics

Artificial intelligence for COVID-19: battling the pandemic with computational intelligence

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Intelligent Medicine 2022年第1期2卷 13-29页

作者： Zhenxing Xu Chang Su Yunyu Xiao Fei Wang Department of Population health Sciences Weill Cornell MedicineCornell UniversityNew York 10065United States Department of health Service Administration and Policy Temple UniversityPhiladelphia 19122United States

The new coronavirus disease 2019(COVID-19)has become a global pandemic leading to over 180 million confirmed cases and nearly 4 million deaths until June 2021,according to the World health *** the initial report in December 2019,COVID-19 has demonstrated a high transmission rate(with an R_(0)>2),a diverse set of clinical characteristics(e.g.,high rate of hospital and intensive care unit admission rates,multi-organ dysfunction for critically ill patients due to hyperinflammation,thrombosis,etc.),and a tremendous burden on health care systems around the *** understand the serious and complex diseases and develop effective control,treatment,and prevention strategies,researchers from different disciplines have been making significant efforts from different aspects including epidemiology and public health,biology and genomic medicine,as well as clinical care and patient *** recent years,artificial intelligence(AI)has been introduced into the healthcare field to aid clinical decision-making for disease diagnosis and treatment such as detecting cancer based on medical images,and has achieved superior performance in multiple data-rich application *** the COVID-19 pandemic,AI techniques have also been used as a powerful tool to overcome the complex *** this context,the goal of this study is to review existing studies on applications of AI techniques in combating the COVID-19 ***,these efforts can be grouped into the fields of epidemiology,therapeutics,clinical research,social and behavioral studies and are *** challenges,directions,and open questions are discussed accordingly,which may provide new insights into addressing the COVID-19 pandemic and would be helpful for researchers to explore more related topics in the post-pandemic era.

关键词： COVID-19 pandemic Artificial intelligence electronic health record Machine learning

Emphasizing privacy and security of edge intelligence with machine learning for healthcare

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International Journal of Intelligent Computing and Cybernetics 2022年第1期15卷 92-109页

作者： Sukumar Rajendran Sandeep Kumar Mathivanan Prabhu Jayagopal Kumar Purushothaman Janaki Benjula Anbu Malar Manickam Bernard Suganya Pandy Manivannan Sorakaya Somanathan Vellore Institute of Technology VelloreIndia

Purpose-Artificial Intelligence(AI)has surpassed expectations in opening up different possibilities for machines from different walks of *** service providers are *** computing reduces latency,improving availability and saving ***/methodology/approach-The exponential growth in tensor processing unit(TPU)and graphics processing unit(GPU)combined with different types of sensors has enabled the pairing of medical technology with deep learning in providing the best patient care.A significant role of pushing and pulling data from the cloud,big data comes into play as velocity,veracity and volume of data with IoT assisting doctors in predicting the abnormalities and providing customized treatment based on the patient electronic health record(EHR).Findings-The primary focus of edge computing is decentralizing and bringing intelligent IoT devices to provide real-time computing at the point of presence(PoP).The impact of the PoP in healthcare gains importance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of *** impact edge computing of the PoP in healthcare gains significance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of ***/value-The utility value of sensors data improves through the Laplacian mechanism of preserved PII response to each query from the *** scalability is at 50%with respect to the sensitivity and preservation of the PII values in the local ODL.

关键词： Edge computing Deep learning Cloud computing Fog computing electronic health record Tensor processing unit Graphics processing unit Point of presence

Fostering Patient Safety: Importance of Nursing Documentation

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Open Journal of Nursing 2023年第7期13卷 411-428页

作者： Shamsa Samani Salma Amin Rattani Faculty of Nursing Lincoln University College Petaling Jaya Malaysia Faculty of Nursing and Midwifery Aga Khan University Karachi Pakistan

Background: Nurses are professionally accountable for assessing and documenting patients’ vital signs. Nurses failing to fulfill this responsibility position their patients at risk. This paper presents two real-life cases pertaining to patients’ safety resulting in fatal outcomes, leading to the professional, legal, and ethical liability of nurses as the providers of patient care. Objective: This paper focuses on the role of organizational culture in fostering patient safety specifically in monitoring and documentation of patients’ vital signs and early recognition of warning signs. Methodology: A comprehensive literature search was conducted using various databases, examining the significance of vital signs monitoring and documentation and early warning signs in patient safety. Relevant articles combining quantitative and qualitative data were analyzed. Results: By fostering an environment of honest reporting, healthcare organizations can enhance patient safety and improve the quality of care. This paper offers valuable insights and recommendations for developing effective strategies aligned with organizational policies and protocols. Conclusion: This paper serves as a valuable resource, encouraging healthcare professionals to reflect on their practices and the organizations to assess their contributions to creating a culture of safety. It also highlights the importance of reporting and disclosing adverse events as learning opportunities and outlines the role of ethics, professionalism, legislation, and organizational support in achieving patient safety.

关键词： Case Scenarios Patient Safety Disclosure Ethics Legislation electronic health record

healthyBlockchain for Global Patients

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Computers, Materials & Continua 2021年第8期68卷 2431-2449页

作者： Shada A.Alsalamah Hessah A.Alsalamah Thamer Nouh Sara A.Alsalamah College of Computer and Information Sciences King Saud UniversityRiyadh11451Saudi Arabia Digital health and Innovation Science DivisionWorld Health OrganizationGenevaCH-1211Switzerland MIT Department of Mechanical Engineering Massachusetts Institute of Technology(MIT)Cambridge02139MAUSA College of Engineering and Architecture Al Yamamah UniversityRiyadh11451Saudi Arabia Trauma and Acute Care Surgery Unit College of MedicineKing Saud UniversityRiyadh11451Saudi Arabia College of Computer and Information Sciences Al Imam Mohammad Ibn Saud Islamic UniversityRiyadh13318Saudi Arabia

An emerging healthcare delivery model is enabling a new era of clinical care based on well-informed decision-making *** healthcare information systems(HISs)fall short of adopting this model due to a conflict between information security needed to implement the new model and those already enforced locally to support traditional care ***,in recent times,the healthcare sector has shown a substantial interest in the potential of using blockchain technology for providing quality care to *** blockchain solution proposed so far has fully addressed emerging cross-organization information-sharing needs in *** this paper,we aim to study the use of blockchain in equipping struggling HISs to cope with the demands of the new healthcare delivery model,by proposing healthyBlockchain as a granular patient-centered ledger that digitally tracks a patient’s medical transactions all along the treatment pathway to support the care *** patient-centered ledger is a neutral tamper-proof trail timestamp block sequence that governs distributed patient information across the decentralized discrete *** connects patients,clinicians,and healthcare providers to facilitate a transparent,trustworthy,and secure supporting platform.

关键词： Blockchain ehealth electronic health record global patient healthcare information system information security legacy system patient-centered care privacy smart contract trust

Analytics on medical records collected from a distributed system deployed in the Indian rural demographic

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Journal of Management Analytics 2018年第1期5卷 54-72页

作者： K.G.Srinivasa Sriram Anupindi Arvind Kumar Department of Computer Science and Engineering M S Ramaiah Institute of TechnologyBangaloreIndia CBP Government Engineering College New DelhiIndia

One of the standout problems in rural regions of India is the lack of a comprehensive medical record *** records are a vital part of any diagnosis as they provide a glimpse into the patient’s past,which is influential to the current *** records help practitioners spot anomalies and patterns in a variety of medical *** is also utilized to gain a better understanding of the health situation in certain *** this paper,the authors have proposed a comprehensive distributed system which can be used to preserve the medical history of individuals,and also provide a valuable insight into the health situation of the rural *** distributed data are aggregated into a single entity from which observations are *** data acquired could be of extreme importance to the government,as it can be utilized to determine the health issues which require immediate attention,and to evaluate possible mitigation *** data collected would be portable and easily accessible with the help of mobile devices.

关键词： data analytics distributed systems healthcare analytics electronic health record healthcare management management analytics in healthcare medical analytics

The Theory of Bio-Medical Knowledge Integration(Ⅸ)──A venture in methodology for operations on the cognitive segment in HER

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医学信息 2008年第7期21卷 1003-1010页

作者： BAO Han-fei (network center of Dalian Medical University , Dalian 116044,China) network center of Dalian Medical University Dalian 116044 China

This paper pointed out, in the cognitive or semantic processes, the data of EHR reflect their physical nature, which makes mathematics and informatics of less computing capability. Based on this argument a new concept cognitive segment (CS), which is considered with having both physical and formalized quality, was introduced. Centered on CS, the paper presented a series of new basic concepts and their definitions, a set of symbols and expressions, and afterwards explored the types, quasi-formalized expressions, mapping nature, methodology for operations, two distinguished differences, commonsensible background analyses, cognitive dimension regression, supervising function of CSs.

关键词： The Theory of Biomedical Knowledge Integration Cognitive Segment, EHR Semantics electronic health record Medical Informatics Artificial Intelligence

Database Model and Applications for electronic Medical records（EMRs） System

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Database Model and Applications for Electronic Medical Recor...