OBJECTIVES

Timely access to appropriate levels of care is essential for improving maternal, newborn,
and child health outcomes. To address persistent service delivery fragmentation and strengthen referral systems, the Philippine Department of Health issued Administrative Order 2020-0019 to guide the design of Health Care Provider Networks (HCPNs) under the Universal Health Care Act of 2019. This study assessed the extent to which sixteen municipalities across four provinces in Eastern Visayas comply with the HCPN service delivery guidelines in the context of maternal and newborn care.

The study employed a descriptive cross-sectional mixed-methods design, utilizing structured facility checklists to assess compliance with HCPN standards. Qualitative data were gathered through key informant interviews and focus group discussions with purposively selected stakeholders—decision makers, health personnel, and mothers—to contextualize findings. A three-lever framework for integrated care (policy, operational, and cross- cutting) guided the analysis

The findings revealed significant gaps between the current capacities of study health facilities and the requirements outlined in the HCPN guidelines. Major gaps included (1) weak cooperative governance mechanisms to support network-wide coordination; (2) limited systematic linkages between facilities, including fragmented referral protocols and non-interoperable health information systems; (3) inadequate investments in infrastructure, health human resources, and medical commodities; and (4) absence of performance monitoring systems across HCPNs.

OBJECTIVE

The competence of health workers to attend to vulnerable and marginalized populations is critical to health equity. The study determines the competence of physicians in providing health care to LGBT adolescents in a national tertiary hospital.

All physicians from the departments of Pediatrics and Family and Community Medicine were recruited. An electronic form collected demographic data and responses to the Lesbian, Gay, Bisexual, and Transgender Development of Clinical Skills Scale (LGBTDOCSS).Theresponsesweresummarizedandanalyzed.

Most respondents are male, with a mean age of 34.21 years. They are mainly staff of the Department of Pediatrics and post- residency fellows. Not all recall their participation in gender sensitivity training. They report scores towards the higher end of the scale: an overall score of 5.27 and mean subscale scores of 4.43 for clinical preparedness, 6.13 for attitudinal awareness, and 5.24 for basic knowledge. The heterogeneity and pertinacity of their experiences with LGBT individuals mediate their attitudinal awareness. Attaining the level of consultant suggests a better understanding of barriers and disparities against LGBT individuals. The tool has good internal reliability.

The demographic profile of the respondents suggests their involvement in healthcare, continuing education, and staff development. They report adequate competence in providing health care to LGBT adolescents.

Environmental damage affects many aspects of healthcare, from extreme weather events to evolving population disease. Singapore's healthcare sector has the world's second highest healthcare emissions per capita, hampering the nation's pledge to reduce emissions by 2030 and achieve net zero emissions by 2050. In this review, we provide an overview of the impact environmental damage has on healthcare, including facilities, supply chain and human health, and examine measures to address healthcare's impact on the environment. Utilising the 'R's of sustainability - rethinking, reducing/refusing, reusing/repurposing/reprocessing, repairing, recycling and research - we have summarised the opportunities and challenges across medical disciplines. Awareness and advocacy to adopt strategies at institutional and individual levels is needed to revolutionise our environmental footprint and improve healthcare sustainability. By leveraging evidence from ongoing trials and integrating sustainable practices, our healthcare system can remain resilient against environment-driven challenges and evolving healthcare demands while minimising further impacts of environmental destruction.
Humans ; Climate Change ; Delivery of Health Care ; Singapore ; Conservation of Natural Resources ; Sustainable Development ; Environment

The advances of modern medicine have inadvertently led to a globally ageing population plagued primarily with non-communicable diseases. In addition to traditional medical approaches, nature-based therapy is becoming an increasingly attractive option, with its potential to holistically address physical and mental facets of health and well-being, and to complement 'preventive' and 'population health' strategies, both of which form the bedrock of sustainable healthcare. However, at present, there is vast heterogeneity in the implementation of nature-based therapy, limiting its widespread and sustainable use. The aim of this review is to practically examine and provide a focussed summary of the current evidence with a view to identifying existing gaps and limitations, and to propose directions for future research and implementation within the healthcare setting.
Humans ; Singapore ; Tertiary Care Centers ; Hospitals, Public ; Delivery of Health Care ; Nature ; Complementary Therapies/methods* ; Medicine, Traditional/methods*

Hospitals worldwide recognise the importance of data and digital transformation in healthcare. We traced a smart hospital's data-driven journey to build an artificial intelligence and digital ecosystem (AIDE) to achieve healthcare excellence. We measured the impact of data and digital transformation on patient care and hospital operations, identifying key success factors, challenges, and opportunities. The use of data analytics and data science, robotic process automation, AI, cloud computing, Medical Internet of Things and robotics were stand-out areas for a hospital's data-driven journey. In the future, the adoption of a robust AI governance framework, enterprise risk management system, AI assurance and AI literacy are critical for success. Hospitals must adopt a digital-ready, digital-first strategy to build a thriving healthcare system and innovate care for tomorrow.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Hospitals ; Cloud Computing ; Robotics ; Internet of Things ; Data Science

INTRODUCTION: An interdisciplinary panel, comprising professionals from medicine, AI and data science, law and ethics, and patient advocacy, convened to discuss key principles on regulation, implementation and evaluation of AI models in healthcare for Singapore. METHOD: The panel considered 14 statements split across 4 themes: "The Role and Scope of Regulatory Entities," "Regulatory Processes," "Pre-Approval Evaluation of AI Models" and "Medical AI in Practice". Moderated by a thematic representative, the panel deliberated on each statement and modified it until a majority agreement threshold is met. The roundtable meeting was convened in Singapore on 1 July 2024. While the statements reflect local perspectives, they may serve as a reference for other countries navigating similar challenges in AI governance in healthcare. RESULTS: Balanced testing approaches, differentiated regulatory standards for autonomous and assistive AI, and context-sensitive requirements are essential in regulating AI models in healthcare. A hybrid approach-integrating global standards with local needs to ensure AI comple-ments human decision-making and enhances clinical expertise-was recommended. Additionally, the need for patient involvement at multiple levels was underscored. There are active ongoing efforts towards development and refinement of AI governance guidelines and frameworks balancing between regulation and freedom. The statements defined therein provide guidance on how prevailing values and viewpoints can streamline AI implementation into healthcare. CONCLUSION This roundtable discussion is among the first in Singapore to develop a structured set of state-ments tailored for the regulation, implementation and evaluation of AI models in healthcare, drawing on interdisciplinary expertise from medicine, AI, data science, law, ethics and patient advocacy.
Singapore ; Humans ; Artificial Intelligence/standards* ; Delivery of Health Care/organization & administration*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

In the context of continuously deepening medical and health system reforms and comprehensively promoting the "Healthy China" strategy, Henan Provincial People's Hospital has established a regional collaborative and vertically integrated critical care service structure and network. This initiative aims to enhance information empowerment, strengthen regional collaboration, improve the insufficient primary medical services, and ensure timely and effective treatment for critically ill patients. By establishing a comprehensive dispatch service platform for regional collaborative critical care, building a "top-down" remote medical collaboration network, and forming a cross-regional specialty alliance for critical care, the hospital has improved the efficiency of medical services and enhanced regional capabilities for treating critically ill patients. Simultaneously, for critically serious patients and those with complex diseases at primary medical institutions, a one-stop consultation and referral service has been implemented. This service adopts a "three specialists" approach and a multidisciplinary consultation mechanism within the hospital, constructs a multi-dimensional critical care transfer mode integrating air, ground, and the internet, creates a regional collaborative rescue mode, and implements full-cycle treatment for critically serious patients. The comprehensive, flexible, and efficient service pathway for regional collaborative critical care established by this system ensures timely and safe treatment for critically ill patients, promotes the distribution of high-quality medical resources, and effectively addresses issues such as uneven distribution of high-quality medical resources and varying levels of critical care capabilities. It has facilitated the formation of a new tiered diagnosis and treatment order characterized by "first diagnosis at the primary level, two-way referral, separate treatment for acute and chronic diseases, and vertical integration". This approach has enhanced the diagnostic and comprehensive service capabilities of primary medical institutions. Currently, by strengthening information empowerment and sharing, creating a full-process critical care diagnosis and treatment model, providing medical assistance and cultivating primary-level critical care talent, and promoting appropriate technologies, the hospital has gradually overcome challenges such as barriers to information exchange and sharing between hospitals, overloaded critical care teams, high pressure on patient reception and transfer, and limited critical care capabilities at primary medical institutions. This article summarizes the construction and practical application of this regionally coordinated critical care system, aiming to provide a reference for the management of critical care treatment.
Humans ; China ; Critical Care/organization & administration* ; Delivery of Health Care/organization & administration*

Palliative care has emerged as a crucial component of healthcare, particularly in the context of an aging population and the increasing prevalence of chronic and life-limiting illnesses. In the Philippines, however, access to palliative care remains significantly limited, especially in rural and underserved areas. This disparity is primarily driven by systemic challenges such as inadequate healthcare infrastructure, a shortage of trained professionals, and insufficient public awareness. While the inclusion of palliative care in the Universal Health Care (UHC) Act of 2019 (Republic Act No. 11223) reflects a progressive step toward addressing these needs, the implementation of comprehensive palliative services continues to face considerable hurdles. This paper advocated for the stronger integration of palliative care into primary health care systems at the barangay level, emphasizing the need to strengthen policy frameworks, ensure adequate resource allocation, and actively engage communities in this endeavor. Such efforts are essential to guaranteeing equitable, compassionate, and dignified care for all individuals, regardless of their stage of life or even socioeconomic status.

BACKGROUND

Lesbian, gay, bisexual, and transgender (LGBT) individuals continue to experience health disparities related to discrimination and health professional inadequacies despite increasing social acceptance of the LGBT community in society. Understanding the knowledge, attitudes, and practices concerning the healthcare of LGBT individuals among healthcare professionals can enable gender-affirming healthcare for the LGBT community. However, there is a need for a culturally relevant and updated tool to describe healthcare professionals' interactions with the LGBT community.

The objective of this study is to describe the development of the Knowledge, Attitudes, and Practices towards LGBT in Healthcare Questionnaire (KAP-LHQ) and demonstrate its content and face validity.

The KAP-LHQ was developed using a two-phase process. Phase 1 involved the generation of items through a literature review and discussions among the authors Phase two included the evaluation of its content and face validity. Content validity was determined by six experts using the Content Validity Index, while ten healthcare professionals evaluated the tool for face validity.

The KAP-LHQ demonstrated good content and face validity. Content validity indices were high. Item-Level CVI (I-CVI) ranges from 0.83 to 1.00 for the items under the Knowledge section and has a Scale-Level CVI (S-CVI) of 0.97. The Attitude section items scored an I-CVI of 0.83 to 1.00 and a S-CVI of 0.99, while most of the Practices section items scored an I-CVI of 1.00 with an overall S-CVI of 0.94. One item was omitted on the final version for having an I-CVI of 0.67. Face validity of the final questionnaire across parameters has a median of 4 out of 4, reflecting the appropriateness, comprehensibility, and relevance of the questionnaire.

The KAP-LHQ appears to be a valid tool that has the potential for assessing the KAP of health professions to improve training and increasese healthcare outcomes for the LGBT community. Using the tool on a larger population can firmly establish its efficacy, further validity, and even reliability.