The quality of Syrian healthcare services during COVID-19: A HEALTHQUAL approach

Frontiers in Public Health, Год журнала: 2022, Номер 10

Опубликована: Авг. 11, 2022

Syria is a developing country that face enormous healthcare challenges aggravated with the outbreak of COVID-19. In study, we evaluate perceived service quality based on hospital type, public and private, using five HEALTHQUAL dimensions. We find in Syrian private hospitals better hospitals. However, neither type scores exceptionally high any examined On contrary, both score extremely low Improvement dimension. argue crowdedness environment, medical staff availability their salaries, pricing policies as well health insurance system, are to blame for such quality.

Язык: Английский

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TripAdvisor of healthcare:Opportunities for value creation through patient feedback platforms

Technovation, Год журнала: 2022, Номер 121, С. 102625 - 102625

Опубликована: Сен. 19, 2022

The objective of this study is to explore new opportunities for hospitals use patient feedback platforms (i.e., digital on which patients express their opinions care journeys).Patient generate an ever-expanding amount data experience that currently unused by most hospital or business intelligence unit.We used the methodological approach netnography negative received one combined with interviews identify potential value generated platform.The main findings are a platform serves as source indicate: (1)Where act (by localizing comments), ( 2) On what (what thematic provides satisfaction and therefore be kept; causes dissatisfaction thus improved), (3) How innovate (ideas about practices implement).It becomes evident developing service help make sense raw can from other improve own practices.The first implication our results complementary type (i.e. based perception not empirical fact), well patients' external spontaneous internally controlled survey feedback) Business Intelligence unit engaged in transformation towards patient-centered care.The second these create network effect (i.e.A patient's than focal concerned feedback, increasing overall platform).The third enabled only generation but also analysis services provided party runs platform.

Язык: Английский

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Mining and fusing unstructured online reviews and structured public index data for hospital selection

Information Fusion, Год журнала: 2023, Номер 103, С. 102142 - 102142

Опубликована: Ноя. 16, 2023

Язык: Английский

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Social media and the bottom of the pyramid: a systematic literature review and future research agenda

International Journal of Emerging Markets, Год журнала: 2023, Номер unknown

Опубликована: Май 27, 2023

Purpose The study aims to present a systematic literature review (SLR) understand the current status of research on social media usage among bottom pyramid (BOP). purpose this is identify gaps in domain and future agendas by using theory, context, characteristics methods [TCCM] framework. Design/methodology/approach An SLR, keywords co-occurrence TCCM analysis were used analyse synthesize insights from 44 studies gained Web Science Scopus databases. Findings findings suggest that USA India are popular contexts for studying BOP. BOP population uses gain utilitarian, hedonic values. Further, can help explore “entrepreneurship” opportunities, value co-creation bring innovations. Originality/value This expands intellectual boundaries at suggests multidisciplinary research. Additionally, adopting novel theoretical lenses helped determine media's impact

Язык: Английский

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DSSQEM-IHK: Dynamic SERVQUAL Service Quality Evaluation Method Integrating Hypergraph Knowledge

Information Processing & Management, Год журнала: 2024, Номер 62(3), С. 104030 - 104030

Опубликована: Дек. 17, 2024

Язык: Английский

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Sosialiasi Patient-Centered Approach (PCA) sebagai Pendekatan untuk Meningkatkan Kualitas Layanan di Rumah Sakit Harapan Keluarga Kota Mataram

E-Dimas Jurnal Pengabdian kepada Masyarakat, Год журнала: 2024, Номер 15(1), С. 106 - 111

Опубликована: Март 31, 2024

Media sosial muncul sebagai saluran baru bagi rumah sakit dan pasien untuk mengumpulkan umpan balik tentang kualitas pelayanan. Data media sosial, di sisi lain tidak terstruktur volumenya besar. Selain itu, ada penelitian empiris yang dilakukan penggunaan data persepsi pelayanan berdasarkan ulasan online pasien. Tujuan dari pengabdian masyarakat ini adalah melakukan sosialisasi pentingnya patient-centered approach pendekatan meningkatkan service excellent sakit. Dalam studi kasus ini, kami 428 komentar halaman facebook Rumah Sakit Harapan Keluarga antara tahun 2019-2023. Kami menggunakan pembelajaran mesin membuat analisis sentimen pengklasifikasi layanan (SERVQUAL) mengidentifikasi dimensi SERVQUAL secara otomatis. memeriksa total ulasan, 413 (70,32%) tangibles, (96,49%) reliability, 19 (4,43%) responsiveness, 38 (8,87%) assurance, 301 empathy.

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Hospital Bed Allocation using Three-Stage Weighted Optimization Method for Government Hospital in Pulau Pinang

Journal of Advanced Research in Applied Sciences and Engineering Technology, Год журнала: 2023, Номер 31(1), С. 90 - 98

Опубликована: Июнь 13, 2023

Ineffective bed allocation across hospital departments leads to the imbalance between patients’ needs and resource capacity. This study aims simulate arrivals, measure departments’ importance design a mathematical model for allocating beds which will be realized by proposed three-stage weighted optimization model. The stages consist of data simulation in ARENA software, weight evaluation based on occupancy rate arrival rates, (BOR), average length stay (ALOS) operation cost (BOC), using goal programming (GP) goals achieved this consists minimizing idle total BOC. result shows that obstetrics orthopaedics wards obtained biggest number while dengue paediatrics surgery least number. statistical analysis made results is most influential factor as its Pearson correlation value numbers 0.789, indicates strong correlation.

Язык: Английский

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Classification and visualization: Twitter sentiment analysis of Malaysia’s private hospitals

IAES International Journal of Artificial Intelligence, Год журнала: 2023, Номер 12(4), С. 1793 - 1793

Опубликована: Авг. 2, 2023

Malaysia has many private’s hospitals. Thus, feedback is important to improve service quality, becoming reviews for other patients. Reviews use the channel provided on social media, such as Twitter. Nevertheless, online are unstructured and enormous in volume, which leads difficulties comparing private In addition, no single websites compare hospitals based users’ interests, bilingual reviews, less time-consuming. Due that, this study aims classify visualize Twitter sentiment analysis of Malaysia. The scope focuses five factors: 1) administrative procedure, 2) cost, 3) communication, 4) expertise, 5) service. Term frequency-inverse document frequency used text mining, information retrieval techniques, Naïve Bayes, a machine learning algorithm classification. user can specified state’s them with any selected state. system’s functionality usability have been tested ensure it meets objectives. Functionality testing proved that hospital’s could be predicted training data intended, 77.13% 77.96% accuracy English Bahasa Melayu, respectively, while system scale resulted an average final score 95.42%.

Язык: Английский

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Comparison of Transformer Based and Traditional Models on Sentiment Analysis on Social Media Datasets

2021 4th International Conference of Computer and Informatics Engineering (IC2IE), Год журнала: 2023, Номер unknown, С. 163 - 168

Опубликована: Сен. 14, 2023

In the field of computers and natural language processing, there is an interesting sub-field, namely sentiment analysis. Currently, use social media Twitter to actively communicate between individuals contains various review data, opinion emotional data from discussions topics users on media. So that generated by can identify patterns in for analysis sub-sector, are approaches, transformer-based models traditional models, model includes naïve Bayes algorithm, support vector machine, regression have weaknesses overcoming complexity Indonesian tweets while transformer BERT (Bidirectional Encoder Representations Transformers) algorithm often applied because it has advantages sentences obtained process this goes through a training stage with large amounts then adjusted concept

Язык: Английский

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Evaluating the effect of Chinese universities’ public opinion governance strategies through online user comments on the Weibo platform

Online Information Review, Год журнала: 2024, Номер unknown

Опубликована: Март 27, 2024

Purpose This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies. Design/methodology/approach considers Chinese universities’ events Weibo platform as research object. It collects network governance strategy texts Weibo, constructs sentiment index based analysis evaluates effectiveness adopted by university officials. Findings found following: First, a complete information release process effectively improve effect Second, strategies was significantly influenced type event. Finally, is closely related severity punishment subjects involved. Research limitations/implications The theoretical contribution this lies in application image repair theory field governance, which further broadens scope Originality/value expands comment provides quantitative method evaluating Peer review peer history article available at: https://publons.com/publon/10.1108/OIR-05-2022-0269

Язык: Английский

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