saline to the wound surface for 10 s, and staining with an Alcian blue staining
solution. Since the biofilm can be visualized within only 2 min, it has been proposed
as a bedside assessment technology or point-of-care biofilm detection tool
(Nakagami et al., 2017). This increases the risk of sloughing the following week
in the presence of biofilm, and completely removing the biofilm with a debridement
reduces the wound area significantly more than if there was a residue (Nakagami
et al., 2020). The application of a wound management protocol that removes a
biofilm visualized using a device such as ultrasonic debridement can significantly
improve the wound healing rate (Mori et al., 2019). Biofilm-based wound care has
been practiced in clinical settings.
The methods of assessing pressure ulcers using the ultrasound imaging device,
infrared thermography, and rapid biofilm detection tool presented here are all
introduced as new technologies in the latest international guidelines. We hope that
the accumulation of evidence in the future will become a global standard evaluation
method. The fact that various assessment techniques developed by the bioengineering nursing research framework contribute to the world of pressure ulcer care
suggests the importance of R & D based on real-world data.
4 Conclusion
Attempts to develop the next generation of nursing care using real-world data have
only just begun. However, the knowledge and skills of technology development
based on clinical real-world data accumulated through past nursing research will be
useful for the development of next-generation care. In fact, with the generalization of
the use of ultrasound, nurses can easily measure bladder capacity by ultrasound, and
further, a technology for automatically estimating bladder volume from ultrasound
images using artificial intelligence has been implemented (Matsumoto et al., 2019).
The speed of such innovations has never been imagined before.
The knowledge obtained from real-world data is vast, and the benefits can be
enjoyed more widely in nursing, which supports people’s lives. In the future, realworld data analysis and artificial intelligence research will advance, and the next
world beyond the artificial intelligence generation will definitely come to pass. As in
the examples shared in this chapter, further transdisciplinary innovation will be
co-created by a new stream of health informatics based on translational systems
science that dynamically fuses data, information, knowledge, and wisdom.
References
Allman, R. M., Goode, P. S., Burst, N., Bartolucci, A. A., & Thomas, D. R. (1999). Pressure ulcers,
hospital complications, and disease severity: Impact on hospital costs and length of stay.
Advances in Wound Care, 12(1), 22–30. http://www.ncbi.nlm.nih.gov/pubmed/10326353.
98
G. Nakagami et al.
solution. Since the biofilm can be visualized within only 2 min, it has been proposed
as a bedside assessment technology or point-of-care biofilm detection tool
(Nakagami et al., 2017). This increases the risk of sloughing the following week
in the presence of biofilm, and completely removing the biofilm with a debridement
reduces the wound area significantly more than if there was a residue (Nakagami
et al., 2020). The application of a wound management protocol that removes a
biofilm visualized using a device such as ultrasonic debridement can significantly
improve the wound healing rate (Mori et al., 2019). Biofilm-based wound care has
been practiced in clinical settings.
The methods of assessing pressure ulcers using the ultrasound imaging device,
infrared thermography, and rapid biofilm detection tool presented here are all
introduced as new technologies in the latest international guidelines. We hope that
the accumulation of evidence in the future will become a global standard evaluation
method. The fact that various assessment techniques developed by the bioengineering nursing research framework contribute to the world of pressure ulcer care
suggests the importance of R & D based on real-world data.
4 Conclusion
Attempts to develop the next generation of nursing care using real-world data have
only just begun. However, the knowledge and skills of technology development
based on clinical real-world data accumulated through past nursing research will be
useful for the development of next-generation care. In fact, with the generalization of
the use of ultrasound, nurses can easily measure bladder capacity by ultrasound, and
further, a technology for automatically estimating bladder volume from ultrasound
images using artificial intelligence has been implemented (Matsumoto et al., 2019).
The speed of such innovations has never been imagined before.
The knowledge obtained from real-world data is vast, and the benefits can be
enjoyed more widely in nursing, which supports people’s lives. In the future, realworld data analysis and artificial intelligence research will advance, and the next
world beyond the artificial intelligence generation will definitely come to pass. As in
the examples shared in this chapter, further transdisciplinary innovation will be
co-created by a new stream of health informatics based on translational systems
science that dynamically fuses data, information, knowledge, and wisdom.
References
Allman, R. M., Goode, P. S., Burst, N., Bartolucci, A. A., & Thomas, D. R. (1999). Pressure ulcers,
hospital complications, and disease severity: Impact on hospital costs and length of stay.
Advances in Wound Care, 12(1), 22–30. http://www.ncbi.nlm.nih.gov/pubmed/10326353.
98
G. Nakagami et al.