Real-world patient data: Can they support decision making and patient engagement?

Joeris, Alexander; Zhu, Tracy Y.; Lambert, Simon; Wood, Andrea; Jayakumar, Prakash

doi:10.1016/j.injury.2021.12.012

Cited by 8 publications

(3 citation statements)

References 73 publications

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“…AI-powered wearables significantly enhance patient engagement by offering insights into health metrics and progress, encouraging active health management [136]. These devices, often paired with companion apps, provide personalized recommendations for lifestyle changes, medication adherence, and exercise based on the patient's health data [137].…”

Section: Ai-powered Wearable Devices For Continuous Monitoringmentioning

confidence: 99%

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

Maleki Varnosfaderani,

Forouzanfar

2024

Bioengineering

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As healthcare systems around the world face challenges such as escalating costs, limited access, and growing demand for personalized care, artificial intelligence (AI) is emerging as a key force for transformation. This review is motivated by the urgent need to harness AI’s potential to mitigate these issues and aims to critically assess AI’s integration in different healthcare domains. We explore how AI empowers clinical decision-making, optimizes hospital operation and management, refines medical image analysis, and revolutionizes patient care and monitoring through AI-powered wearables. Through several case studies, we review how AI has transformed specific healthcare domains and discuss the remaining challenges and possible solutions. Additionally, we will discuss methodologies for assessing AI healthcare solutions, ethical challenges of AI deployment, and the importance of data privacy and bias mitigation for responsible technology use. By presenting a critical assessment of AI’s transformative potential, this review equips researchers with a deeper understanding of AI’s current and future impact on healthcare. It encourages an interdisciplinary dialogue between researchers, clinicians, and technologists to navigate the complexities of AI implementation, fostering the development of AI-driven solutions that prioritize ethical standards, equity, and a patient-centered approach.

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Section: Ai-powered Wearable Devices For Continuous Monitoringmentioning

confidence: 99%

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

Maleki Varnosfaderani,

Forouzanfar

2024

Bioengineering

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“…Diese Form der Einbindung in die Behandlung befähigt die Patienten, sich kontinuierlich und aktiv an ihrem Gesundheitsmanagement zu beteiligen und kann zugleich die therapeutische Adhärenz erhöhen [ 5 , 16 ]. Dabei können PRO als Lösungsansatz über die Behandlungsphase hinaus herangezogen werden.…”

Section: Patientenzentrierte Lösungsansätze Im Gesamtablauf – Auf Das...unclassified

Den Patienten wirklich verstehen lernen: Real-world-Evidenz aus der „patient journey“

et al. 2022

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Zusammenfassung Hintergrund Die COVID-19-Pandemie („coronavirus disease 2019“) hat die Bedeutung von Real World Data (RWD) im klinischen Alltag unterstrichen und die fatalen Folgen von längst existierenden Problemen wie Lücken in der Primärdatenerfassung, Hürden bei der Auswertung von Patientendaten sowie erschwertem Patientendatenaustausch zwischen verschiedenen Einrichtungen nochmal deutlich gemacht. Darüber hinaus haben Entwicklungen weg von einem paternalistischen hin zu einem partnerschaftlichen Modell der Arzt-Patienten-Beziehung sowie die zunehmende Digitalisierung unser Verständnis von Gesundheitsversorgung geprägt, das Thema der Patientenautonomie und Selbstwirksamkeit in den Vordergrund gebracht und den Bedarf an innovativen, patientenzentrierten Lösungsansätzen verdeutlicht. Methoden Wir nutzen die „patient journey“ als theoretisches Konstrukt, entlang dessen wir die Sammlung von verschiedenen Typen von RWD, ihre Bedeutung und Umgang damit beschreiben. Schlussfolgerung Die Abbildung der „patient journey“ in Verbindung mit der Nutzung eines einheitlichen Datenstandards kann zur Erfassung von Primärdaten im Gesundheitswesen führen, die von allen medizinischen Behandlungseinrichtungen genutzt werden können. Dies wird den Austausch von Daten zwischen Einrichtungen erleichtern. Darüber hinaus könnte die fortlaufende Auswertung von patientenberichteten Ereignissen als Standard in der klinischen Routine die Patientenautonomie stärken und die Behandlung optimieren. Zusammenfassend lässt sich sagen, dass der Behandlungserfolg, das Gesamtüberleben und das Wohlbefinden der Patienten durch die Schaffung einer gemeinsamen Datensprache und eines ganzheitlichen, menschenzentrierten Ansatzes verbessert werden können.

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“…Inform. Visualization, 7(1) -March 2023 22-29 [10], medicine [11]- [15], psychology [16]- [18], mathematic [19]- [22].…”

Section: Introductionmentioning

confidence: 99%

Mapping User Experience Information Overload Problems Across Disciplines

Kusuma

Jantan

Abdullah

et al. 2023

JOIV : Int. J. Inform. Visualization

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User Experience (UX) has been increasing linearly with the systems and digital media. UX concept describes a human factor as an experience with the life cycle of digital technology. UX increases the usability of the product in the industry more than functionality. Interest in UX has produced a huge amount of product and research articles. Moreover, this interdisciplinary topic becomes increased significantly because of the wider applications. However, this benefit become a problem due to the number of publications. The information overload problem is the result of the increasing UX topic. Several researchers solved this problem with qualitative analysis, but it cannot solve the overload problem. In this paper, we purposed bibliometric analysis and research profiling to interpret UX information on the map, with the publications from 1998-2022, a dataset compiled in RIS format to provide article metadata. As a result, the UX information map from the topic with the five clusters. Therefore, to provide information on the topic's coherence, we propose a coupling network. A related topic is shown as a link; a direct link means high coherence between topics. The analysis was carried out using the 5W1H approach (what, where, who, when, why, and how). The results show that UX is indeed an interdisciplinary field, especially with a design approach and user experience. In addition, to determine novice researchers, determining the focus of research can be done by taking into account previous research goals and maps.

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Real-world patient data: Can they support decision making and patient engagement?

Cited by 8 publications

References 73 publications

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

Den Patienten wirklich verstehen lernen: Real-world-Evidenz aus der „patient journey“

Mapping User Experience Information Overload Problems Across Disciplines

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