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8 hasil untuk "Rahmani, Keyvan"

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  1. Artikel Jurnal Teks lengkap

    Value-Based procurement for medical devices: A scoping review

    Rahmani, Keyvan; Karimi, Saeed; Rezayatmand, Reza dkk.

    Med J Islam Repub Iran · 2021 · Inggris · PubMed Central

    Background: Despite this seemingly simple definition of value in different perspectives, the definition of value-based procurement for medical devices is still unclear. This study aimed to delineate the definition of value-based procurement for medical devices and its characteristics. Methods…

  2. Artikel Jurnal Teks lengkap

    Comparative Study of Medical Equipment Procurement in Selected Countries

    Rahmani, Keyvan; Karimi, Saeed; Raeisi, Ahmad Reza dkk.

    Med J Islam Repub Iran · 2022 · Inggris · PubMed Central

    Background: Despite the fact that medical equipment is critical for providing good health services and also incurs significant expenditures for the health system, little is known about how to procure it effectively. To date, only a few comparative studies on the procurement framework for medical…

  3. Artikel Jurnal Teks lengkap

    Training needs assessment of hospital CEOs in a developing country: the example of Iran

    Hosseini, Seyede-Elahe; Jafari, Mehdi; Nemati, Ali dkk.

    BMC Med Educ · 2023 · Inggris · PubMed Central

    BACKGROUND: It is essential to identify the necessary competencies of hospital CEOs in order to improve the quality and efficiency of services they provide. Expert leadership skills and competencies can have a significant impact on the success of an organization, benefiting both patients and staff…

  4. Artikel Jurnal Teks lengkap

    New financial management system for Iran public health sector: A qualitative study

    Abolhallaj, Masoud; Jafari, Mehdi; Seyedin, Hesam dkk.

    J Educ Health Promot · 2021 · Inggris · PubMed Central

    BACKGROUND: Financial management system acts as a driving force and the first important principle of health sector reform. This study aimed to prepare a framework for new financial management system in Iran health sector. MATERIALS AND METHODS: This qualitative study was conducted by content…

  5. Artikel Jurnal Teks lengkap

    Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

    Rahmani, Keyvan; Thapa, Rahul; Tsou, Peiling dkk.

    medRxiv · 2022 · Inggris · PubMed Central

    BACKGROUND: Data drift can negatively impact the performance of machine learning algorithms (MLAs) that were trained on historical data. As such, MLAs should be continuously monitored and tuned to overcome the systematic changes that occur in the distribution of data. In this paper, we study the…

  6. Artikel Jurnal Teks lengkap

    An Analysis of Disparities in Access to Health Care in Iran: Evidence from Lorestan Province

    Nemati, Reza; Seyedin, Hesam; Nemati, Ali dkk.

    Glob J Health Sci · 2014 · Inggris · PubMed Central

    Equal distribution of healthcare facilities in order to increase the accessibility of the individuals to services is one of the main pillars in improvement of health. This study was aimed to examine the disparities in access to health care services across the cities of Lorestan province located in…

  7. Artikel Jurnal Teks lengkap

    Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

    Lam, Carson; Thapa, Rahul; Maharjan, Jenish dkk.

    JMIR Med Inform · 2022 · Inggris · PubMed Central

    BACKGROUND: Acute respiratory distress syndrome (ARDS) is a condition that is often considered to have broad and subjective diagnostic criteria and is associated with significant mortality and morbidity. Early and accurate prediction of ARDS and related conditions such as hypoxemia and sepsis could…

  8. Artikel Jurnal Teks lengkap

    Predicting ventilator-associated pneumonia with machine learning

    Giang, Christine; Calvert, Jacob; Rahmani, Keyvan dkk.

    Medicine (Baltimore) · 2021 · Inggris · PubMed Central

    Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive care units (ICUs). Existing methods for identifying VAP display low accuracy, and their use may delay antimicrobial therapy. VAP diagnostics derived from machine learning (ML) methods that utilize…