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Open research questions in Quality and Safety in Healthcare

86 gap statements mined from Quality and Safety in Healthcare papers in our 4.5M-paper local library, which holds 391 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The need for a reliable and efficient predictive maintenance solution for air compressor condition monitoring and fault prediction. The lack of a comprehensive comparison of different machine learning models for air compressor condition monitoring. The need for a model that can be deployed on resource-constrained devices, such as the Raspberry Pi.

    An Explainable Deep Learning-Based Predictive Maintenance Solution for Air Compressor Condition Monitoring · 2025 · DOI

  • Longitudinal studies examining the practical implementation of AMS solutions in various industries, particularly healthcare, could offer valuable insights into the real-world benefits, policy impacts, and challenges of asset management strategies. Further investigation into the integration and effectiveness of AI and IoT in asset management frameworks will be essential.

    Charting Advances in Asset Management Systems: A Bibliometric Analysis Revealing Applications and Potential in Healthcare · 2025 · DOI

  • Biomedical engineering technician (BMET) workshops are essential for maintaining medical devices, yet their service readiness in low-resource settings remains insufficiently described.

    Strengthening biomedical engineering systems in sub-Saharan Africa: a repeated cross-sectional assessment of workshop readiness and medical device maintenance in NEST360-supported hospitals · 2026 · DOI

  • First, it was conducted in a single large tertiary hospital with a relatively mature digital maintenance environment, and its generalizability to hospitals with different equipment compositions, maintenance workflows, and informatics readiness remains to be established.

    A data-driven priority assessment and deployment framework for medical equipment maintenance in a tertiary hospital · 2026 · DOI

  • Further studies on the application of artificial intelligence to risk management frameworks should be conducted to enable the prediction of process drift, failure modes, and quality deviations before the regulatory limits are violated. Smart manufacturing systems powered by AI are becoming more able to adapt to anomalies in real-time and respond to them.

    Design for manufacturing of class IIb medical devices with risk-based approach · 2026 · DOI

  • The gap is characterized by weaknesses in planning, budgeting, procurement, distribution, and control.

    Implementation of Medical Device Logistics Management: A Qualitative Study · 2026 · DOI

  • Operational challenges are intensified by structural inequalities, regional differences in healthcare infrastructure, fluctuating supply chains, and the coexistence of highly advanced hospitals alongside institutions operating with limited technological resources. The coexistence of public and private healthcare models in Brazil further intensifies these challenges.

    Operational Challenges and Strategic Management in the Brazilian Medical Devices Market · 2026 · DOI

  • While TAM has been applied across multiple industries, its application within biomedical and life science contexts remains limited, and the industry-specific factors that shape ML acceptance in this sector have not been systematically examined.

    Technology acceptance of machine learning in life sciences: the role of hype perception and journal impact factor. · 2026 · DOI

  • Future research should examine the impact of R&D investment on the development of telemedicine technologies. Further study is needed to understand the relationship between R&D investment structure and technology capability in other sectors. The development of more balanced investment strategies across technology layers is an area for future research.

    Alignment between R&D Investment Structure and Technology Capability in Telemedicine · 2026 · DOI

  • There is a lack of research on the relationship between R&D investment structure and technology capability in telemedicine. Prior work has focused on individual technologies or policy changes, but there is a need for a more integrated analysis of R&D investment structure and technology capability.

    Alignment between R&D Investment Structure and Technology Capability in Telemedicine · 2026 · DOI

  • To safeguard public health, PV systems that can identify novel ADRs and implement regulatory measures are required. Information that can help a patient or healthcare provider make decisions has received little attention. One of PV's main objectives is to collect and disseminate information regarding the safety of drug active surveillance.

    MATERIOVIGILANCE IN MEDICAL DEVICES: CURRENT PRACTICES, CHALLENGES, AND FUTURE PERSPECTIVES · 2026 · DOI

  • It suggests that attention to how AI-assisted outputs interact across successive stages of the HTA process is necessary.

    From task validation to workflow assurance in Health Technology Assessment · 2026 · DOI

  • The lack of a clear framework for medical device development in the Philippines. The need for a comprehensive guide that integrates international standards with Philippine regulatory requirements.

    ISOXIAN Framework: Medical Device Lifecycle Working Manual · 2026 · DOI

  • The full supply structure of intensive and intermediate critical care -- ICU and high care unit (HCU) beds -- has not been characterized at the SMA level with respect to its composition, road-network accessibility, and evolution over time.

    MeshScope-Region: Distribution, Road-Network Accessibility, and Nine-Year Evolution of ICU and HCU Capacity Across Japan's 330 Secondary Medical Areas · 2026 · DOI

  • System fragmentation, differences in data standards, limited human resource capacity, and uneven connectivity among facilities are challenges to interoperability. The lack of strong data governance, integrated system architecture, and a supportive technological ecosystem hinders effective interoperability.

    Evaluation of health data interoperability and governance policies to support program planning, monitoring and evaluation (M&E) · 2026 · DOI

  • Current Asset Information Management practices are fragmented, heavily reliant on error-prone manual processes, and plagued by severe data silos. The shift from reactive breakdown maintenance to predictive maintenance has become a global operational imperative, but many public hospital systems in developing economies are constrained by systemic operational weaknesses.

    Assessing digital factors influencing AI-led asset information management in hospital facilities · 2026 · DOI

  • The exclusion of other databases such as Web of Science or IEEE Xplore may have introduced selection bias and limited the comprehensiveness of the datasets. The keyword-based search strategy is relatively general and may have excluded relevant studies, particularly in fields such as healthcare, where different terminology is often used.

    Charting Advances in Asset Management Systems: A Bibliometric Analysis Revealing Applications and Potential in Healthcare · 2025 · DOI

  • Limited budgets in smaller healthcare facilities or regions.

    The Impact of Automation and Digitalization in Hospital Medication Management: Economic Analysis in the European Countries · 2025 · DOI

  • FMEA focuses on device functionality and risk of failure and does not account for safety risks during normal device usage.

    Failure mode effect analysis use and limitations in medical device risk management · 2024 · DOI

  • Transportation needs and evolving institutional policies. Hospital availability is often dynamic, and cancellations may occur due to hospital accreditation activities or public health concerns.

    Hospital Rotation Class at Miami University for Clinical Engineering Students · 2026 · DOI

  • Offering the course during the winter term introduces additional tuition costs, which can limit participation. Hospital availability is often dynamic, and cancellations may occur due to hospital accreditation activities or public health concerns. Transportation remains another barrier, as university liability policies require students to provide their own travel to hospital sites.

    Hospital Rotation Class at Miami University for Clinical Engineering Students · 2026 · DOI

  • The analysis is limited to public hospitals within a single national context, - The study relies on a class-balanced experimental subset, - Data availability constraints are a major limitation in predictive maintenance…

    Impact of Internal Validation Protocols on Predictive Maintenance Performance in Biomedical Equipment · 2026 · DOI

  • Investigating the application of temporal validation in other healthcare settings, - Developing more robust validation protocols for predictive maintenance models, - Examining the impact of different validation protocols on model performance in various…

    Impact of Internal Validation Protocols on Predictive Maintenance Performance in Biomedical Equipment · 2026 · DOI

  • The study is based on a systematic literature review, which may not capture all relevant publications - The review is limited to publications that met the established inclusion…

    Towards Maintenance 5.0: Resilience-Based Maintenance in AI-Driven Sustainable and Human-Centric Industrial Systems · 2025 · DOI

  • Further research could explore the application of the proposed PdM solution to other types of air compressors, - Investigating the use of other XAI methods to increase the transparency of the hybrid model's final decision, - Exploring the deployment of the model on other resource-constrained…

    An Explainable Deep Learning-Based Predictive Maintenance Solution for Air Compressor Condition Monitoring · 2025 · DOI

Most-cited papers in Quality and Safety in Healthcare

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Open questions raised by papers listed on this page include: (1) Future research should examine the impact of R&D investment on the development of telemedicine technologies (“Alignment between R&D Investment Structure and Technology Capability in…”, 2026); (2) The lack of a clear framework for medical device development in the Philippines (“ISOXIAN Framework: Medical Device Lifecycle Working Manual”, 2026); (3) The full supply structure of intensive and intermediate critical care -- ICU and high care unit (HCU) beds -- has not been characterized at the SMA level with respect to its composition, road-network accessibility, and evolution over time (“MeshScope-Region: Distribution, Road-Network Accessibility, and Nine-Year…”, 2026); (4) The lack of strong data governance, integrated system architecture, and a supportive technological ecosystem hinders effective interoperability (“Evaluation of health data interoperability and governance policies to support…”, 2026); (5) The lack of a comprehensive comparison of different machine learning models for air compressor condition monitoring (“An Explainable Deep Learning-Based Predictive Maintenance Solution for Air…”, 2025). 86 gap statements have been mined from Quality and Safety in Healthcare papers in our 4.5M-paper local library, which holds 391 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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