Design thinking to improve healthcare delivery in the intensive care unit: Promise, pitfalls, and lessons learned

Krolikowski, Kristyn A.; Bi, Mengxue; Baggott, C.; Khorzad, Rebeca; Holl, Jane L.; Kruser, Jacqueline M.

doi:10.1016/j.jcrc.2022.153999

Cited by 16 publications

(7 citation statements)

References 8 publications

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“…It also allowed for the integration of new ways of working (including new tools) into existing work ows and enhanced hybrid forms of working. Although not often used in health sciences and healthcare, other scientists have already applied Design Thinking to improve healthcare delivery in intensive care medicine [54] and radiology [55], or solve challenges in public health[56], medical education [57], and healthcare design, management, and innovation [58,59].…”

Section: Discussionmentioning

confidence: 99%

How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning

Klopfenstein

Flint

Heeren

et al. 2023

Preprint

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Alarm fatigue, a multi-factorial desensitization of personnel toward alarms, can harm both patients and healthcare staff in intensive care units (ICU). False and non-actionable alarms contribute to this condition. With an increasing number of alarms and more patient data being routinely collected and documented in ICUs, machine learning could help reduce alarm fatigue. As data annotation is complex and resource intensive, we propose a rule-based annotation method combining alarm and patient data to classify alarms as either actionable or non-actionable. This study presents the development of the annotation method and provides resources that were generated during the process, such as mappings.

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Section: Discussionmentioning

confidence: 99%

How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning

Klopfenstein

Flint

Heeren

et al. 2023

Preprint

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“…Hence, the differences in the journeys of patients and citizens using wearable devices, which are not captured by current health systems, also need to be ascertained to design more personalised interventions. Healthcare design seeks to empathise and engage more with patients and other stakeholders in the delivery of more personalised health services, and thus, aims to bridge the gap between clinical pathways and patient journeys (Krolikowski et al, 2022). In this context, a journey map as a design tool that visually represents users' experiences and interactions with a product or a service (Howard, 2014) is promising.…”

Section: Clinical Pathways Vs User Journeysmentioning

confidence: 99%

Mapping the Journeys of Atrial Fibrillation Patients and Citizens Using Wearable Devices for Remote Cardiac Monitoring

Suresh Kumar,

Andreakou,

Tzachsan

et al. 2023

Proc. Des. Soc.

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Atrial Fibrillation (AF) is one of the most prevalent cardiac diseases in the world. How might we design patient journeys improving quality of life using wearable cardiac devices for continuous out of hospital monitoring and support? Most of the studies to date have emphasised the technical aspects of implementing such devices with less focus on human factors. As such, remote cardiac monitoring appears to be burdened by poor patient adherence. This research study proposed a journey map based on Roger's technology adoption model to understand the challenges faced by AF patients and non/asymptomatic patients in using wearable devices to monitor their health. Data from semi-structured interviews conducted in Denmark with 12 participants aged 24 to 65 years was used. Interview results show that citizens prefer tracking heart activity only in conjunction with other measures such as steps or sleep and do not feel motivated to track their heart activity on a daily basis. Patients view wearables as a valuable tool to check if their health is all right, although apprehension that devices can cause unnecessary worry can lead to their rejection. Finally, recommendations for the design of patient journeys when using wearables were made.

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“…Together with learning new skills and updating old ones, knowledge goes hand in hand with innovation 71‐73 . Roberts and colleagues introduce the notion of design thinking by which innovation can be managed in a health care setting 74‐76 . Design thinking is human‐centered research approach where there is an interactive collaboration in diverse teamwork, where the aim is to rapidly prototype new ideas, processes, and products 74 .…”

Section: Interpersonal Processesmentioning

confidence: 99%

“… 71 , 72 , 73 Roberts and colleagues introduce the notion of design thinking by which innovation can be managed in a health care setting. 74 , 75 , 76 Design thinking is human‐centered research approach where there is an interactive collaboration in diverse teamwork, where the aim is to rapidly prototype new ideas, processes, and products. 74 Similar to this line of thinking and as an example of such innovation in the ICU, thoughts were initiated about designing the silent ICU .…”

Section: Interpersonal Processesmentioning

confidence: 99%

Human resource management at the intensive care unit: A pragmatic review and future research agenda for building a learning health system

Rietdijk,

van der Kuy,

den Uil

2023

Learning Health Systems

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Recently, the importance of efficient and effective health care has been recognized, especially during the acute phase of the Coronavirus Disease‐2019 (COVID‐19) pandemic. Intensive care units (ICUs) have faced an immense workload, with massive numbers of patients being treated in a very short period of time. In general, ICUs are required to deliver high‐quality care at all times during the year. At the same time, high‐quality organizational goals may not be aligned with the interests, motivation, and development of individual staff members (eg, nurses, and doctors). For management of the ICU, it is important to balance the organizational goals and development of the staff members (“their human capital”), usually referred to as human resource management. Although many studies have considered this area, no holistic view of the topic has been presented. Such a holistic view may help leadership and/or other stakeholders at the ICU to design a better learning health system. This pragmatic review aims to provide a conceptual model for the management of ICUs. Future research may also use this conceptual model for studying important factors for designing and understanding human resources in an ICU.

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Design thinking to improve healthcare delivery in the intensive care unit: Promise, pitfalls, and lessons learned

Cited by 16 publications

References 8 publications

How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning

How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning

Mapping the Journeys of Atrial Fibrillation Patients and Citizens Using Wearable Devices for Remote Cardiac Monitoring

Human resource management at the intensive care unit: A pragmatic review and future research agenda for building a learning health system

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