Application of Internet hospitals for first-visit patients with COVID-19 during the pandemic in China

European Journal of Public Health, Journal Year: 2023, Volume and Issue: 33(5), P. 789 - 795

Published: Aug. 7, 2023

Abstract Background There has been controversy over whether to carry out online medical inquiries and electronic prescription for first-visit patients. While Internet hospitals have become crucial ensure providing diagnosis needs COVID-positive Objective We describe the results advantages of treatment during coronavirus disease 2019 (COVID-19) outbreak analyse treatment. Methods Data were collected from patients who received inquiry services through COVID-19 Special Section our hospital. The user demographic characteristics, behaviour, clinical symptoms records collected. Baseline data offline outpatient also Results A total 16 173 included. daily service volume reached a peak 2446 person-times. median age was 29.92 years (SD 15.59), ranging 20–39 (n = 8870, 54.84%). 89.20% 14 426/16 173) had epidemic-related symptoms. Moreover, 23.35% people diagnosed as COVID-19-positive antigen or nucleic acid testing. Furthermore, 86.61% (14 008/16 visited hospital first time no physical record within past 3 months. demand mainly drug dispensing, followed by medication guidance diagnosis. And 2.07% (334/16 needed go further Conclusion model based on provided public with necessary support outbreak. It provides reference future pandemics health emergencies.

Language: Английский

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Role of Artificial Intelligence in Clinical and Hospital Pharmacy

Published: Jan. 1, 2024

Language: Английский

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Acercando la inteligencia artificial a los servicios de farmacia hospitalaria

Farmacia Hospitalaria, Journal Year: 2024, Volume and Issue: 48, P. S35 - S44

Published: July 1, 2024

La inteligencia artificial (IA) es un concepto amplio que comprende el estudio de la capacidad los ordenadores para llevar a cabo tareas normalmente requerirían intervención humana. Mediante explotación grandes volúmenes datos sanitarios, algoritmos pueden identificar patrones y predecir resultados, lo puede ayudar las organizaciones sanitarias sus profesionales tomar mejores decisiones alcanzar mejorar resultados. Los métodos aprendizaje automático, profundo, redes neuronales o procesamiento natural del lenguaje son más importantes, permitiendo sistemas aprender partir sin necesidad programación explícita. IA se ha introducido en biomedicina, acelerando procesos, mejorando precisión eficiencia atención al paciente. uso farmacéuticos hospital analizar gran volumen pacientes, incluidos registros médicos, resultados laboratorio perfiles medicamentos, ayudándolos posibles interacciones entre evaluar su seguridad eficacia, así como mejor informadas. integración mejorará calidad farmacéutica, optimizará promoverá investigación, implementará innovación abierta facilitará formación. hospitalarios dominen desempeñarán papel crucial esta transformación. Artificial intelligence (AI) is broad concept that includes the study of ability computers to perform tasks would normally require intervention human intelligence. By exploiting large volumes healthcare data, algorithms can identify patterns and predict outcomes, which help organizations their professionals make better decisions achieve results. Machine learning, deep neural networks or language processing are among most important methods, allowing systems learn improve from data without need for explicit programming. AI has been introduced in biomedicine, accelerating processes, improving safety efficiency, patient care. using Learning, pharmacists analyze volume including medical records, laboratory results, medication profiles, aiding them identifying potential drug-drug interactions, assessing efficacy medicines, making informed recommendations. integration will quality pharmaceutical care, optimize promote research, deploy open innovation, facilitate education. Hospital who master play role this transformation.

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Unleashing the Potential of Internet Hospitals: An In-Depth Examination of Information Platform Functionality and Performance (Preprint)

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e54018 - e54018

Published: Aug. 22, 2024

Background Internet hospitals (IHs) have rapidly developed as a promising strategy to address supply-demand imbalances in China’s medical industry, with their capabilities directly dependent on information platform functionality. Furthermore, novel theory of “Trinity” smart hospital has provided advanced guidelines IH constructions. Objective This study aimed explore the construction experience, models, and development prospects based operational data from IHs. Methods Based existing systems internet service functionalities, our built “Smart Hospital Information Platform (SHIIP)” for operations, actively expand online services, digitalize traditional health care, care services modes throughout entire process lifecycle. article encompasses architecture design, technological applications, patient content processes, professional support features, administrative management tools, associated data. Results Our presented set data, including 82,279,669 visits, 420,120 consultations, 124,422 electronic prescriptions, 92,285 medication deliveries, 6,965,566 prediagnosis triages, 4,995,824 offline outpatient appointments, 2025 education articles total 15,148,310 views, so on. These demonstrate significant role an indispensable component physical deep integration between systems. Conclusions The upward trends various metrics indicate that gained recognition usage among both public healthcare workers, may prospects. Additionally, approach, which prioritizes comprehensive digitization 'Trinity' public, managers, serves effective means promoting Hospitals. Such insights prove invaluable guiding facilitating continued evolution sector.

Language: Английский

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Yeni Bir Hastane Modeli: İnternet Hastanesi

Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Journal Year: 2024, Volume and Issue: 33(2), P. 610 - 620

Published: May 24, 2024

Sağlık sektörü diğer sektörlerde olduğu gibi gelişen teknolojiler ile birlikte değişmekte ve dönüşmektedir. Bu değişimde internet teknolojisinin büyük bir etkisi vardır. Ayrıca dünyada meydana gelen olaylar yeni teknolojilerin sağlık sektöründe de görülmesinin gerekliliğini ortaya çıkarmaktadır. E-sağlık uygulamaları, mobil yapay zekâ, tele tıp vb. uygulamalar teknolojinin alanına getirdiği yeniliklerden bazılarıdır. çalışma kapsamında ise özellikle pandemi döneminde görülmeye başlanan hastane modeli olan hastanesi kavramı ele alınmıştır. İnternet Çin’de dönemi yaygınlaşmaya başlayan ayakta, yatarak çevrimiçi hizmetinin birleşimini ifade eden modelidir. modelinde temel amaç hizmetlerinde kaliteyi verimliliği artırmaktır. Türkiye’de uzaktan hizmetleri uygulamaların başladığı görülmektedir. kapsamda “Uzaktan Hizmetlerinin Sunumu Hakkında Yönetmelik” modeline benzer uygulama Dr. e-Nabız uygulaması hayata geçirilmiştir. bireylere hizmeti verilmesinin temelini oluşturmaktadır. İlerleyen süreçte bu buna daha da yaygınlaşacağı söylenebilir. Ancak uygulamaya konulan uygulamalarının etkinliğinin değerlendirilmesi noktasında çalışmaların yapılması gerekmektedir.

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[Translated article] Introducing artificial intelligence to hospital pharmacy departments

Farmacia Hospitalaria, Journal Year: 2024, Volume and Issue: 48, P. TS35 - TS44

Published: July 1, 2024

Artificial intelligence is a broad concept that includes the study of ability computers to perform tasks would normally require intervention human intelligence. By exploiting large volumes healthcare data, algorithms can identify patterns and predict outcomes, which help organizations their professionals make better decisions achieve results. Machine learning, deep neural networks, or natural language processing are among most important methods, allowing systems learn improve from data without need for explicit programming. has been introduced in biomedicine, accelerating processes, improving accuracy efficiency, patient care. using machine hospital pharmacists analyze volume including medical records, laboratory results, medication profiles, aiding them identifying potential drug–drug interactions, assessing safety efficacy medicines, making informed recommendations. integration will quality pharmaceutical care, optimize promote research, deploy open innovation, facilitate education. Hospital who master play crucial role this transformation. La Inteligencia artificial es un concepto amplio que comprende el estudio de la capacidad los ordenadores para llevar cabo tareas normalmente requerirían intervención inteligencia humana. Mediante explotación grandes volúmenes datos sanitarios algoritmos pueden identificar patrones y predecir resultados, lo puede ayudar las organizaciones sanitarias sus profesionales, tomar mejores decisiones alcanzar mejorar resultados. Los métodos aprendizaje automático, profundo, redes neuronales o procesamiento del lenguaje son más importantes, permitiendo sistemas aprender partir sin necesidad programación explícita. se ha introducido en biomedicina, acelerando procesos, mejorando precisión eficiencia, atención al paciente. uso iIA farmacéuticos analizar gran volumen pacientes, incluidos registros médicos, resultados laboratorio perfiles medicamentos, ayudándolos posibles interacciones entre evaluar su seguridad eficacia, así como mejor informadas. integración mejorará calidad farmacéutica, optimizará promoverá investigación, implementará innovación abierta facilitará formación. hospitalarios dominen desempeñarán papel esta transformación.

Language: Английский

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The Role of Digital Technology in Improving the Efficiency and Quality of BPJS Health Services: Concept Overview

Published: Sept. 4, 2024

Language: Английский

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Challenges and strategies of developing internet hospital: Combining qualitative interview and documentary research

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

As an innovative technology, internet hospitals have the potential to improve healthcare services. However, pioneering nature of means that they are still in early stages development. This study aimed investigate challenges and strategies involved establishing by public medical institutions China.

Language: Английский

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Characteristics analysis of Internet pharmacy consultation services for children in southwest China during the post-epidemic era: A cross-sectional study

International Journal of Medical Informatics, Journal Year: 2024, Volume and Issue: 186, P. 105424 - 105424

Published: March 24, 2024

This study aims to examine the features of online pediatric pharmacy consultations in Southwest China, an area with limited medical resources during post-epidemic era and explore factors affecting dialogue volume consultations. A cross-sectional was conducted southwest China from April 2022 March 2023. The encompassed a cohort 2,526 children, ranging 0 18 years old. collected data patient gender, age, weight, department, drugs involved consultation services, types questions consulted, start time, Descriptive statistics ordered multicategorical logistic regression analysis were performed. SPSS 26.0 software used for analysis. Among total Internet services offered, infant group constituted largest portion (n = 1021). Children internal medicine concerns have greater needs 455). peak usage occurred fall at 11:00 a.m. 73). Factors influencing include non-availability Chinese medications [P 0.033, OR 0.81, 95 % CI (0.67–0.98)], initiation spring 0.002, 1.52, CI(1.17–1.97)] or afternoon 0.012, 1.36, (1.07–1.72)] weight<15 kg 0.038, 2.19, (1.04–4.58)]. Our findings provide important information peers carry out their work. In era, emphasis should be placed on addressing related children's otolaryngology. Optimizing healthcare resource allocation take into account time-seasonal variability behaviors. Furthermore, it is recommended focus children inquiries, absorb sufficient knowledge about medicines, schedule more pharmacists participate every afternoon. These help authorities platforms National Health Commission rationalize resources, optimize quality service delivery, develop new policies.

Language: Английский

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Evolutionary trend analysis of the pharmaceutical management research field from the perspective of mapping the knowledge domain

Frontiers in Health Services, Journal Year: 2024, Volume and Issue: 4

Published: July 11, 2024

Background Pharmaceutical management is a new frontier subject between pharmacy, law and management, related research involves the whole process of drug development, production, circulation use. With development medical systems diversification patients’ needs, in field pharmaceutical becoming increasingly abundant. To clarify status this field, study conducted bibliometric analysis relevant literature based on knowledge graph method for first time explored evolutionary trends hotspots frontiers. Methods Literature was obtained from Web Science Core Collection database. CiteSpace 6.2.R4 (Advanced), VOSViewer, Scimago Graphica, Pajek R programming language were used to visualize data. Results A total 12,771 publications included study. The show an overall increasing trend. In terms discipline evolution, early topics tended involve positioning pharmacists care establishment system. From 2000 2005, period focus clinical pharmacy institutional norms. globalization market economy, 2005 2010 began trend fields markets economics. 2015, gradually integrated into health services. information technology, after also develop direction digitalization intelligence. light global pandemic COVID-19, such as supply telemedicine services under major public events have shown increased interest since 2020. Conclusion Based mapping approach, provides landscape research. results showed that reform education, challenge COVID-19 pandemic, digital transformation rise hot field. addition, shows broad prospects integration technology practical value precision services, urgent need governance, ethical legal issues involved application artificial intelligence design, which points out future practice.

Language: Английский

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