scholarly journals Artificial Brain for the Humanoid-Nurse Robots of the Future: Integrating PsyNACS© and Artificial Intelligence

2021 ◽  
Author(s):  
Hirokazu Ito ◽  
Tetsuya Tanioka ◽  
Michael Joseph S. Diño ◽  
Irvin L. Ong ◽  
Rozzano C. Locsin
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Nursing Care ◽  
Care Delivery ◽  
Psychiatric Hospitals ◽  
Patient Centered ◽  
Nursing Assessment ◽  
Care Delivery Model ◽  
Artificial Brain ◽  
The Future

Robots in healthcare are being developed rapidly, as they offer wide-ranging medical applications and care solutions. However, it is quite challenging to develop high-quality, patient-centered, communication-efficient robots. This can be attributed to a multitude of barriers such as technology maturity, diverse healthcare practices, and humanizing innovations. In order to engineer an ideal Humanoid-Nurse Robots (HNRs), a profound integration of artificial intelligence (AI) and information system like nursing assessment databases for a better nursing care delivery model is required. As a specialized nursing database in psychiatric hospitals, the Psychiatric Nursing Assessment Classification System and Care Planning System (PsyNACS©) has been developed by Ito et al., to augment quality and safe nursing care delivery of psychiatric health services. This chapter describes the nursing landscape in Japan, PsyNACS© as a specialized nursing database, the HNRs of the future, and the future artificial brain for HNRs linking PsyNACS© with AI through deep learning and Natural Language Processing (NLP).

scholarly journals Cultivating Connection: The Magic of Attuning, Wondering, Following & Holding

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Ann Flanagan Petry
Keyword(s):  
Health Care ◽  
Patient Experience ◽  
Nursing Care ◽  
Interpersonal Relations ◽  
Care Delivery ◽  
Employee Attitudes ◽  
Patient Centered ◽  
Caring Relationships ◽  
Award Winning ◽  
And Performance

Remember what drew you to health care? And what makes your work meaningful now? Chances are caring for people is the answer to both questions. In fact, healthcare is provided through relationships. Over a decade ago we developed a care delivery framework described in the award-winning book Relationship-Based Care: A Model for Transforming Practice. We were on the vanguard of a revolution toward more patient-centered caring. Indeed, we have always known the importance of connection to patient experience, employee attitudes, interpersonal relations, teams and performance. For nurses, caring relationships are so essential at work that it is inseparable from the work itself. We believe the best nursing care requires understanding of three key relationships: A. Relationship to one’s self, B. Relationship to co-workers and C. Relationship to patients and families. And, the hallmark of meaningful connection is attunement or tuning-in to others with genuine interest and care.

Acuity-Adaptable Nursing Care: Exploring Its Place in Designing the Future Patient Room

2011 ◽  
Vol 5 (1) ◽  
pp. 77-93 ◽  
Author(s):  
Melissa A. Kwan
Keyword(s):  
Patient Safety ◽  
Care Delivery ◽  
Outcome Data ◽  
Patient Room ◽  
Patient Transfers ◽  
Delivery Model ◽  
Care Delivery Model ◽  
Original Definition ◽  
The Future ◽  
Original Concept

Aim: To substantiate the anticipated benefits of the original acuity-adaptable care delivery model as defined by innovator Ann Hendrich. Background: In today's conveyor belt approach to healthcare, upon admission and through discharge, patients are commonly transferred based on changing acuity needs. Wasted time and money and inefficiencies in hospital operations often result—in addition to jeopardizing patient safety. In the last decade, a handful of hospitals pioneered the implementation of the acuity-adaptable care delivery model. Built on the concept of eliminating patient transfers, the projected outcomes of acuity-adaptable units—decreased average lengths of stay, increased patient safety and satisfaction, and increased nurses' satisfaction from reduced walking distances—make a good case for a model patient room. Conclusion: Although some hospitals experienced the projected benefits of the acuity-adaptable care delivery model, sustaining the outcomes proved to be difficult; hence, the original definition of acuity-adaptable units has not fared well. Variations on the original concept demonstrate that eliminating patient transfers has not been completely abandoned in healthcare redesign and construction initiatives. Terms such as flex-up, flex-down, universal room, and single-stay unit have since emerged. These variations convolute the search for empirical evidence to support the anticipated benefits of the original concept. To determine the future of this concept and its variants, a significant amount of outcome data must be generated by piloting the concept in different hospital settings. As further refinements and adjustments to the concept emerge, the acuity-adaptable room may find a place in future hospitals.

Hey Siri, tell me a story: Digital storytelling and AI authorship

2020 ◽  
Vol 26 (4) ◽  
pp. 808-823
Author(s):  
Sarah Thorne
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
News Media ◽  
Future Directions ◽  
Daily Lives ◽  
Short Films ◽  
The Future ◽  
Commercial Applications ◽  
New Applications ◽  
Applications Of Ai

Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends that seek to replace human authors with algorithmically generated narrative. While experimental works that draw on text generation and natural language processing have a rich history, this article focuses on commercial applications of AI narrative and looks to future applications of this technology. Video games have incorporated AI and procedural generation for many years, but more recently, new applications of this technology have emerged in other media. Director Oscar Sharp and artist Ross Goodwin, for example, generated significant media buzz about two short films that they produced which were written by their AI screenwriter. It’s No Game (2017), in particular, offers an apt commentary on the possibility of replacing striking screenwriters with AI authors. Increasingly, AI agents and virtual assistants like Siri, Cortana, Alexa and Google Assistant are incorporated into our daily lives. As concerns about their eavesdropping circulate in news media, it is clear that these companions are learning a lot about us, which raises concerns about how our data might be employed in the future. This article explores current applications of AI for storytelling and future directions of this technology to offer insight into issues that have and will continue to arise as AI storytelling advances.

The changing boundaries of nursing: a qualitative study of the transition to a new nursing care delivery model

2015 ◽  
Vol 24 (17-18) ◽  
pp. 2529-2537 ◽  
Author(s):  
Ann Rhéaume ◽  
Sophie Dionne ◽  
Denise Gaudet ◽  
Monique Allain ◽  
Estelle Belliveau ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Nursing Care ◽  
Care Delivery ◽  
Delivery Model ◽  
Care Delivery Model

Professional Nursing Care Delivery Model

AORN Journal ◽  
1993 ◽  
Vol 57 (6) ◽  
pp. 1416-1424 ◽  
Author(s):  
Linda K. Groah ◽  
Nancy Girard
Keyword(s):  
Nursing Care ◽  
Care Delivery ◽  
Delivery Model ◽  
Professional Nursing ◽  
Care Delivery Model

scholarly journals Use of Artificial Intelligence in Nononcologic Interventional Radiology: Current State and Future Directions

2021 ◽  
Author(s):  
Rohil Malpani ◽  
Christopher W. Petty ◽  
Neha Bhatt ◽  
Lawrence H. Staib ◽  
Julius Chapiro
Keyword(s):  
Artificial Intelligence ◽  
Clinical Practice ◽  
Language Processing ◽  
Vascular Imaging ◽  
Future Directions ◽  
Current State ◽  
The Future ◽  
Procedural Planning ◽  
Applications Of Ai

AbstractThe future of radiology is disproportionately linked to the applications of artificial intelligence (AI). Recent exponential advancements in AI are already beginning to augment the clinical practice of radiology. Driven by a paucity of review articles in the area, this article aims to discuss applications of AI in nononcologic IR across procedural planning, execution, and follow-up along with a discussion on the future directions of the field. Applications in vascular imaging, radiomics, touchless software interactions, robotics, natural language processing, postprocedural outcome prediction, device navigation, and image acquisition are included. Familiarity with AI study analysis will help open the current “black box” of AI research and help bridge the gap between the research laboratory and clinical practice.

Can a Patient-Centered Medical Home Lead to Better Patient Outcomes? The Quality Implications of Geisinger’s ProvenHealth Navigator

2011 ◽  
Vol 27 (3) ◽  
pp. 210-216 ◽  
Author(s):  
Daniel D. Maeng ◽  
Thomas R. Graf ◽  
Duane E. Davis ◽  
Janet Tomcavage ◽  
Frederick J. Bloom
Keyword(s):  
Patient Outcomes ◽  
Medical Home ◽  
Care Delivery ◽  
Quality Care ◽  
Patient Centered Medical Home ◽  
Patient Centered ◽  
Care Delivery Model ◽  
Short Period ◽  
Patients With Diabetes ◽  
Stage Renal Disease

One of the primary goals of the patient-centered medical home (PCMH) is to provide higher quality care that leads to better patient outcomes. Currently, there is only limited evidence regarding the ability of PCMHs to achieve this goal. This article demonstrates the effect of PCMHs in improving certain clinical outcomes, as shown by the ProvenHealth Navigator (PHN), an advanced PCMH model developed and implemented by Geisinger Health System. In this study, the authors examined the claims data from Geisinger Health Plan between 2005 and 2009 and estimated the effect of PHN on reducing amputation rates among patients with diabetes, end-stage renal disease, myocardial infarction, and stroke. The results show that, despite its relatively short period of existence, PHN has led to significant improvements in certain outcomes, further illustrating its potential as a care delivery model to be adopted on a wider scale.

scholarly journals Work Methods for Nursing Care Delivery

2021 ◽  
Vol 18 (4) ◽  
pp. 2088
Author(s):  
Pedro Parreira ◽  
Paulo Santos-Costa ◽  
Manoel Neri ◽  
António Marques ◽  
Paulo Queirós ◽  
...  
Keyword(s):  
Goal Setting ◽  
Nursing Care ◽  
Care Delivery ◽  
Target Population ◽  
Outcome Evaluation ◽  
Care Organization ◽  
Strategy Selection ◽  
Patient Centered ◽  
Advantages And Disadvantages ◽  
Primary Nursing

This article analyzes the work methods based on care design, identification of needs, care organization, planning, delivery, evaluation, continuity, safety, and complexity of care, and discharge preparation. It describes the diagnosis of the situation, goal setting, strategy selection, implementation, and outcome evaluation that contribute to adopting a given work conception and/or method for nursing care delivery. Later, the concepts underlying the several methods—management theories and theoretical nursing concepts—are presented, with reference to relevant authors. The process of analysis and selection of the method is explained, highlighting the importance of diagnosis of the situation, goal setting, strategy selection, implementation, and outcome evaluation. The importance of various elements is highlighted, such as structural aspects, nature of care, target population, resources, and philosophy of the institution, which may condition the adoption of a method. The importance of care conceptualization is also underlined. The work methods are presented with a description of the key characteristics, advantages, and disadvantages of the task-oriented method (functional nursing) and patient-centered methods: individual, team nursing, and primary nursing. A critical and comparative analysis of the methods is then performed, alluding to the combination of person-centered methods.

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