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“What About Automated Pain Recognition for Routine Clinical Use?” A Survey of Physicians and Nursing Staff on Expectations, Requirements, and Acceptance

ABSTRACT: Background: Over the last 12 years, the fundamentals of automated pain recognition using artificial intelligence (AI) algorithms have been investigated and optimized. The main target groups are patients with limited communicative abilities. To date, the extent to which anesthetists and nurses in intensive care units would benefit from an automated pain recognition system has not been investigated. Methods:N = 102 clinical employees were interviewed. To this end, they were shown a video in which the visionary technology of automated pain recognition, its basis and goals are outlined. Subsequently, questions were asked about: (1) the potential benefit of an automated pain recognition in clinical context, (2) preferences with regard to the modality used (physiological, paralinguistic, video-based, multimodal), (3) the maximum willingness to invest, (4) preferences concerning the required pain recognition rate and finally (5) willingness to use automated pain recognition. Results: The respondents expect the greatest benefit from an automated pain recognition system to be “to avoid over- or undersupply of analgesics in patients with limited communicative abilities,” a total of 50% of respondents indicated that they would use automated pain recognition technology, 32.4% replied with “perhaps” and 17.4% would not use it. Conclusion: Automated pain recognition is, in principle, accepted by anesthetists and nursing staff as a possible new method, with expected benefits for patients with limited communicative skills. However, studies on automated pain recognition in a clinical environment and proof of its acceptance and practicability are absolutely necessary before such systems can be implemented.

SUBMITTER: Walter S

PROVIDER: S-EPMC7779395 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care.ObjectiveTherefore, we aimed to examine the status quo of physicians' mobile device usage and concrete requirements and their future expectations of how mobile devices can be used.MethodsWe performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites.ResultsA total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop computers.ConclusionsPhysicians in German university hospitals have a high technical affinity and positive attitude toward the widespread implementation of mobile devices in clinical care. They are willing to use official mobile devices in clinical practice for basic and advanced mobile health uses. Thus, the reason for the low usage is not a lack of willingness of the potential users. Challenges that hinder the wider adoption of mobile devices might be regulatory, financial and organizational issues, and missing interoperability standards of clinical information systems, but also a shortage of areas of application in which workflows are adapted for (small) mobile devices.

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Project description:BackgroundResilience has been studied as an effective concept in nursing that acts as a protective factor which aids in overcoming difficult situations and related mental problems. With the recent increase in demand for nursing homes, nursing home nursing staff are facing a variety of stresses and psychological burdens. Improving resilience has been suggested as one way to deal with the difficulties, such as stress, exhaustion, and burnout, that nursing home nursing staff are experiencing. In order to provide successful education aimed at improving such resilience, it is very important to understand how to perceive experience from the learner's point of view.AimThe study's aim is to identify the ways that nursing home nursing staff build resilience.MethodThis study used phenomenography, a methodology for exploring the relationship between subject and phenomenon. From January 15, 2022 to February 20, 2022, data collection was undertaken at three nursing homes located in the Republic of Korea. The data was collected through semi-structured interviews with 20 nursing staff members in NHs and a data analysis that strictly followed the 7-step analysis process of phenomenography.ResultsEight categories were derived. The eight categories were then divided into two groups of four representing perception and strategy. Perception included four categories: 'grasping the situation', 'thinking about one's responsibility for the resident and personal values', 'considering one's strength' and 'thinking of an improved self'. Strategy included four categories: 'evaluation of oneself and one's environment', 'taking care of oneself', 'finding concrete ways to manage the problem' and 'self-development for growth'. Perception had three levels of awareness, valuing and assuring, while strategy had three levels of identifying, introspecting and concretizing.ConclusionThis study provides insight into how individual nursing staff build resilience, a complex and subjective concept. It provides a foundation for future resilience education of nursing home nursing staff and suggests future educational intervention development directions.

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“What About Automated Pain Recognition for Routine Clinical Use?” A Survey of Physicians and Nursing Staff on Expectations, Requirements, and Acceptance

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