Identifying Clusters and Themes from Incidents Related to Health Information Technology in Medical Imaging as a Basis for Improvements in Practice

A review of incidents related to health information technology in Swedish healthcare to characterise system issues as a basis for improvement in clinical practice

This study examined health information technology-related incidents to characterise system issues as a basis for improvement in Swedish clinical practice. Incident reports were collected through interviews together with retrospectively collected incidents from voluntary incident databases, which were analysed using deductive and inductive approaches. Most themes pertained to system issues, such as functionality, design, and integration. Identified system issues were dominated by technical factors (74%), while human factors accounted for 26%. Over half of the incidents (55%) impacted on staff or the organisation, and the rest on patients - patient inconvenience (25%) and patient harm (20%). The findings indicate that it is vital to choose and commission suitable systems, design out "error-prone" features, ensure contingency plans are in place, implement clinical decision-support systems, and respond to incidents on time. Such strategies would improve the health information technology systems and Swedish clinical practice.

Effectiveness and Experiences of Quality Improvement Interventions in Older Adult Care: Protocol for a Mixed Methods Systematic Review

BACKGROUND

Quality improvement (QI) interventions are designed to resolve the recurring challenges of care for older individuals, such as working conditions for staff, roles of older individuals in their own care and their families, and relevant stakeholders. Therefore, there is a need to map the impacts of QI interventions in older adult care settings and further improve health and social care systems associated with older adults.

OBJECTIVE

This review aims to compile and synthesize the best available evidence regarding the effectiveness of policy and practice QI interventions in older adult care. The secondary aim is to understand the care of older individuals and QI intervention-related experiences and perspectives of stakeholders, care providers, older individuals, and their families.

METHODS

The mixed methods review will follow the standard methodology used by Joanna Briggs Institute. The published studies will be searched through CINAHL, MEDLINE, PsycINFO, ASSIA, and Web of Science, and the unpublished studies through Mednar, Trove, OCLC WorldCat, and Dissertations and Theses. This review included both qualitative and quantitative analyses of patients undergoing older adult care and any health and care professionals involved in the care delivery for older adults; a broad range of QI interventions, including assistive technologies, effects of training and education, improved reporting, safety programs, and medical devices; the experiences and perspectives of staff and patients; the context of older adult care setting; and a broad range of outcomes, including patient safety. The standard procedure for reporting, that is, PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, will be followed.

RESULTS

A result-based convergent synthesis design will be used in which both quantitative and qualitative studies will be analyzed separately, and the results of both syntheses will be then integrated during a final (convergent) synthesis. The integration will compare the findings of quantitative and qualitative evidence using tables in light of the results of both syntheses.

CONCLUSIONS

This comprehensive review is expected to reflect on the insights into some QI interventions and their impact, outline some common challenges of quality for older adult care, and benefit both the practical usefulness of care service activities and the society at large.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/56346.

Software-related challenges in Swedish healthcare through the lens of incident reports: A desktop study

Objective

To identify a subset of software issues occurring in daily Swedish healthcare practice and devise a set of local solutions to overcome the challenges.

Methods

A sample of 46 incident reports was collected from one of Sweden's national incident reporting repositories, ranging from June 2019 to December 2021. The reports were first subjected to an algorithm to identify if they were health information technology-related incidents and were analysed using an existing framework, i.e., the Health Information Technology Classification System, to identify the software-related incidents. The incidents associated with software issues were then subjected to thematic analysis, in which themes were extracted and presented under the category assigned by the existing framework used.

Results

Of 46 reports, 45 (with one exception) were included using the algorithm. Of 45 incidents, 31 software-related incidents were identified using the classification system. Six types of software issues were identified, including software functionality (n = 10), interface with other software systems or components (n = 10), system configuration (n = 7), interface with devices (n = 2), record migration (n = 1) and increased volume of transactions (n = 1). Each issue was further categorised into different themes; for example, software interface-related problems were grouped into 'two patients being active in the system simultaneously' (n = 6) and 'transfer of patient information' (n = 4).

Conclusions

The study provided some insights into software issues and relevant consequences. A set of local solutions were devised to overcome the present challenges encountered in Swedish healthcare in their daily clinical practice. Systematic identification and characterisation of such software challenges should be a routine part of clinical practice for all major health information technology implementations.

Issues with the Swedish e-prescribing system - An analysis of health information technology-related incident reports using an existing classification system

Objective

To identify issues with the Swedish e-prescribing system and devise a set of recommendations to overcome the identified challenges.

Methods

A number of health information technology-related incidents were collected retrospectively from various sources using purposive and snowball sampling. A search term containing five keywords was used to identify the electronic prescription-related incidents. The identified incidents (n = 24) were subjected to an existing framework, i.e., the Health Information Technology Classification System. Special attention was paid to the software-related issues, which were analysed using thematic analysis.

Results

Several types of software-related issues (n = 22) were identified: system configuration, interface with other software systems or components, software functionality, data storage and backup, record migration, software not accessible, and network/server down or slow. Both human and technical factors contributed to these incidents, including prescriptions not cancelled actively, drug handling errors, software programming errors, and system updates/upgrades. These software problems led to various consequences, such as incidents affecting multiple patients’ care management, delays in patient care, and risks of serious deterioration of health. Several temporary initiatives or administrative adjustments, for instance, cover letters to patients and local strategies, were used to overcome some of these challenges.

Conclusions

This study provides insights into the challenges related to the e-prescribing system, contributing factors, consequences, and actions taken to mitigate those risks. Therefore, healthcare organisations using the e-prescribing system should adopt the provided recommendations to minimise the risks of design and developmental challenges, implementation and use-related issues, and the problems related to monitoring, evaluation, and optimisation.

Characterizing healthcare incidents in Sweden related to health information technology affecting care management of multiple patients

This study aimed to examine health information technology-related incidents and identify risks associated with multiple patients' management. Sources of information comprised interviews with healthcare professionals and three small sets of local voluntary incident reports using two sampling strategies, purposive and snowball sampling. Incident reports, in the form of free-text narratives, were aggregated for analysis using the Health Information Technology Classification System and thematic analysis. Of 95 incidents, 176 issues were identified, comprising 77% (n = 136) technical issues, and 23% (n = 40) use or human-related issues. Human issues were over two times more likely to harm patients (OR 2.25, 95% CI 1.01 - 4.98) than technical issues. Incidents that affected multiple patients' care accounted for 70% (n = 66) of the total sample, and large-scale events comprised 39% (n = 26) of the incidents that affected multiple patients' care. Systematically identifying and characterizing such incidents should be prioritized for health information technology implementations.

Digital Health Testbeds in Sweden: An exploratory study

Objective

This study explored the Swedish digital health testbeds through the lens of complexity science.

Methods

The purposive sampling was used to identify 38 digital health testbed organizations to conduct interviews in written or audio-conferencing. The interview responses were aggregated and analyzed using thematic analysis. The themes were mainly generated through complexity theory and the principles of complex adaptive systems.

Results

Fifteen testbed organizations responded, comprising 13 written responses and two audio-conferencing. Five main theoretical themes were generated: agents and diversity, connections and communication, adaptation and learning, perturbations, and path dependence. Agents and diversity depicted different types of testbeds, stakeholders and innovation, and the primary function and purpose of the testbeds. Various factors enhancing connections and communications among multiple stakeholders were identified, such as the quality of e-health solutions and the 2030 Agenda for Sustainable Development. Some adaptation and learning factors, such as internal reorganization, sharing and creating learning opportunities, and additional funding, guaranteed the sustainability of testbeds. Perturbations were characterized by two factors: non-linear interactions – lack of commitment and transparency in stakeholders' engagement, and uncertainty about testbed definitions and concepts. Path dependence highlighted the importance of history, such as previous positive and negative experiences.

Conclusion

This study provided insights into testbeds' organization, their functions, how various aspects were challenged, and how they adapted to overcome and improve the system issues. Identifying the stakeholders and relevant factors, commissioning an evaluation, backing up with a contingency plan, securing adequate funding, and disseminating the findings can improve the testbeds' design and implementation.