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Relevant bibliographies by topics / Interaction patient

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Academic literature on the topic 'Interaction patient'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Interaction patient"

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Peck, B. Mitchell. "Age-Related Differences in Doctor-Patient Interaction and Patient Satisfaction." Current Gerontology and Geriatrics Research 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/137492.

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Background. Relatively little is known about patient characteristics associated with doctor-patient interaction style and satisfaction with the medical visit.Objective. The primary study objectives are to assess: whether doctors interact in a more or less patient-centered style with elderly patients and whether patient age moderates the relationship between interaction style and satisfaction, that is, whether elderly patients are more or less satisfied with patient-centered medical encounters.Methods. We collected pre- and post-visit questionnaire data from 177 patients at a large family medicine clinic. We audiotaped the encounters between doctors and patients. Patient-centered interaction style was measured from coding from the audiotapes of the doctor-patient interactions. Patient satisfaction was measured using the Patient Satisfaction Questionnaire.Results. We found physicians were more likely to have patient-centered encounters with patients over age 65. We also found patient age moderated the association between interaction style and patient satisfaction: older patients were more satisfied with patient-centered encounters.Conclusion. Patient age is associated with style of interaction, which is, in turn, associated with patient satisfaction. Understanding the factors and processes by which doctors and patients interact has the potential to improve many facets of health care delivery.

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Bridges, Jackie, Peter Griffiths, Emily Oliver, and Ruth M. Pickering. "Hospital nurse staffing and staff–patient interactions: an observational study." BMJ Quality & Safety 28, no. 9 (March 27, 2019): 706–13. http://dx.doi.org/10.1136/bmjqs-2018-008948.

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BackgroundExisting evidence indicates that reducing nurse staffing and/or skill mix adversely affects care quality. Nursing shortages may lead managers to dilute nursing team skill mix, substituting assistant personnel for registered nurses (RNs). However, no previous studies have described the relationship between nurse staffing and staff–patient interactions.SettingSix wards at two English National Health Service hospitals.MethodsWe observed 238 hours of care (n=270 patients). Staff–patient interactions were rated using the Quality of Interactions Schedule. RN, healthcare assistant (HCA) and patient numbers were used to calculate patient-to-staff ratios. Multilevel regression models explored the association between staffing levels, skill mix and the chance of an interaction being rated as ‘negative’ quality, rate at which patients experienced interactions and total amount of time patients spent interacting with staff per observed hour.Results10% of the 3076 observed interactions were rated as negative. The odds of a negative interaction increased significantly as the number of patients per RN increased (p=0.035, OR of 2.82 for ≥8 patients/RN compared with >6 to <8 patients/RN). A similar pattern was observed for HCA staffing but the relationship was not significant (p=0.056). When RN staffing was low, the odds of a negative interaction increased with higher HCA staffing. Rate of interactions per patient hour, but not total amount of interaction time, was related to RN and HCA staffing levels.ConclusionLow RN staffing levels are associated with changes in quality and quantity of staff–patient interactions. When RN staffing is low, increases in assistant staff levels are not associated with improved quality of staff–patient interactions. Beneficial effects from adding assistant staff are likely to be dependent on having sufficient RNs to supervise, limiting the scope for substitution.

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Pierson, D. J. "Patient-Ventilator Interaction." Respiratory Care 56, no. 2 (February 1, 2011): 214–28. http://dx.doi.org/10.4187/respcare.01115.

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Epstein, S. K., and R. L. Chatburn. "Patient-Ventilator Interaction." Respiratory Care 56, no. 1 (January 1, 2011): 13–14. http://dx.doi.org/10.4187/respcare.01150.

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GEORGOPOULOS, D. "Patient–Ventilator Interaction." Respiratory Care Clinics of North America 11, no. 2 (June 2005): xv—xvi. http://dx.doi.org/10.1016/j.rcc.2005.02.009.

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BRANSON, R., and N. MACINTYRE. "Patient–Ventilator Interaction." Respiratory Care Clinics of North America 11, no. 2 (June 2005): xiii—xiv. http://dx.doi.org/10.1016/j.rcc.2005.02.010.

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Currie, Gayle, Cynthia Graul, and Kelly Johnson. "Nurse-Patient Interaction." Image: the Journal of Nursing Scholarship 26, no. 4 (December 1994): 259. http://dx.doi.org/10.1111/j.1547-5069.1994.tb00330.x.

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TOBIN, MARTIN J, AMAL JUBRAN, and FRANCO LAGHI. "Patient–Ventilator Interaction." American Journal of Respiratory and Critical Care Medicine 163, no. 5 (April 2001): 1059–63. http://dx.doi.org/10.1164/ajrccm.163.5.2005125.

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Liles, Clive R. "Patient Practitioner Interaction." Physiotherapy 86, no. 6 (June 2000): 326. http://dx.doi.org/10.1016/s0031-9406(05)61009-7.

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Haugan, Gørill, Unni Karin Moksnes, and Geir Arild Espnes. "Nurse–Patient Interaction." Journal of Holistic Nursing 31, no. 3 (June 19, 2013): 152–63. http://dx.doi.org/10.1177/0898010113491460.

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Dissertations / Theses on the topic "Interaction patient"

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Krainin, Penelope. "The influence of patient weight on patient-physician interaction and patient satisfaction." Full text available online (restricted access), 2001. http://images.lib.monash.edu.au/ts/theses/krainin.pdf.

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Irvine, Alastair D. J. "Time preferences and the patient-doctor interaction." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=238373.

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Patients' non-adherence to treatment is a widespread phenomenon in healthcare. Time preferences (how individuals value outcomes over time) are one cause for non-adherence. Using quasi-hyperbolic discounting, two options in the future are weighted consistently. However, when the early option becomes available the weighting changes. This creates the potential for non-adherence. The agency relationship that exists between patients and doctors implies hidden information. When the patient's time preferences are hidden from the doctor, the doctor must choose how to recommend treatments. Exploring how doctors make treatment decisions when time preferences are hidden from them, and how this impacts adherence, is therefore important. The first contribution of the thesis is to outline a model of the patient-doctor interaction incorporating quasi-hyperbolic discounting and hidden information. This shows that doctors should adapt to non-adherence when the probability a patient is present-biased is large enough. Secondly, a national survey of Scottish GPs explores whether doctors have different time preferences for themselves or their patients. Doctors do have the same private and professional time preferences, but value the health state differently between frames. Lastly, a laboratory experiment tests whether students in the role of a doctor adapt to non-adherence in the way predicted by the model. Students find the socially optimal level of treatment on average. Adaptation is stronger when using a performance payment, and results did not vary along demographic characteristics. The thesis highlights the importance of the patient-doctor interaction for generating nonadherence, not just patient preferences. It also shows that GPs' private time preferences may suitably substitute their preferences for patients. Finally, it points towards potential incentives for doctors to improve patient outcomes.

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Williams, Caroline M. A. "Nurse-patient interaction in an intensive care setting." Thesis, University of Brighton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273868.

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Ramsay, Michelle Clare. "Patient-ventilator interaction in domiciliary non-invasive ventilation." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/patientventilator-interaction-in-domiciliary-noninvasive-ventilation(9b60bd3e-84b6-4605-96a8-22b4546b1e90).html.

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Introduction: Patient-ventilator asynchrony (PVA) can adversely affect the initiation of home mechanical ventilation (HMV). The aim was to quantify the prevalence of PVA during HMV and determine the relationships between PVA and adherence to therapy, respiratory muscle loading, nocturnal gas exchange, health-related quality of life measures and sleep quality. Method: A pilot randomised control trial was conducted to compare a physiological led set-up of HMV, using neural respiratory drive to optimise ventilator set-up, to an expert led set-up. Type and frequency of PVA were measured by surface parasternal muscle electromyography, thoraco-abdominal plethysmography and mask pressure during initiation of HMV and 3 months post therapy. Severe PVA was defined as affecting ≥10% of breaths. Results: 40 patients (25 male) were enrolled with an age of 58±17years and a body mass index(BMI) of 33±10kg/m2. Underlying diagnoses were neuromuscular ± chest wall disease (NMD-CWD,n=11), obesity-related chronic respiratory failure (ORRF,n=13) and chronic obstructive pulmonary disease (COPD, n=16). Overall, PVA affected 25.6(16.4-35.7)% breaths at initiation of HMV, with ineffective efforts as the predominant type of PVA affecting 10.9(4.6-23.7)% breaths. No difference was observed in the frequency of PVA between physician led and physiological led set-up of HMV at initiation or 3 months(28.4(17.4-37.6)%vs 25.6(14.0-30.4)%;p=0.6 and 22.4(13.3-37.1)%vs23.3(15.2-41.5)%;p=0.7,respectively). No correlations were observed between PVA and ventilator adherence(rs=0.02,p=0.90), nocturnal oxygen saturations(rs =0.04,p=0.85), nocturnal carbon dioxide levels(rs=0.15,p=0.41), respiratory muscle unloading(rs=0.06,p= 0.76), patient perception of ventilator synchronisation(rs=0.03,p=0.9) at 3 months of HMV therapy. 10 patients (7 male) underwent polysomnography assessment of sleep quality. No further correlations were observed between PVA during sleep and sleep efficiency (rs=-0.6,p=0.1), wake after sleep onset(rs=0.5,p= 0.2) or total sleep time(rs=-0.4,p= 0.3) at 3 months of HMV therapy. Conclusion: Severe PVA was identified in the majority of patients irrespective of pathophysiological disease. This was not associated with inappropriate delivery of effective ventilation. These data suggest that elimination of PVA may not be required to successfully set-up HMV.

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Potter, Margaret J. "Evaluating the efficacy of a program developed to optimise the physiotherapist-patient interaction." University of Western Australia. School of Human Movement and Exercise Science, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0012.

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[Truncated abstract] This PhD project was comprised of three major studies. Study 1 utilised the Nominal Group Technique (NGT) to identify a typology of difficult patients in private practice physiotherapy and to determine strategies physiotherapists use and would like to improve, when dealing with such patients. Physiotherapists (n=37) also shared their expectations of patients and their perceptions of patient expectations of physiotherapy. Results showed that the two areas most difficult to manage were behavioural problems of patients followed by patient expectations. To assist in their interaction with difficult patients, physiotherapists identified communication skills and behaviour modification techniques as strategies they would most like to learn. While physiotherapists expressed the greatest number of expectations in the behavioural domain, identification of patient expectations was not elicited as a strategy to manage difficult patients. Results of this qualitative study contribute to the evolving literature relating to physiotherapist-patient interactions and form a useful basis for educational programs directed at improving the therapeutic relationship in private practice physiotherapy. Study 2 involved applying the NGT with separate groups of patients (n=26) to identify patient expectations of the qualities of a ‘good’ physiotherapist, and to ascertain the characteristics of good and bad experiences in private practice physiotherapy. Findings indicated that the qualities of a ‘good’ physiotherapist related to their communication ability, professional behaviour and organisational ability, and characteristics of the service provided. The most important expectations of patients were for example, symptomatic relief, self-management strategies and ‘hands on’ treatment; associated with the physical domain. When comparing equivalent groups from Study 1, with patient expectations, most patient groups identified that the most important expectations of physiotherapists would relate to patient behaviours such as; compliance, honesty, payment of their account, being punctual, cooperating, trusting and showing respect for their physiotherapist. However, physiotherapists’ rankings of the most important expectations held by patients were not congruent with patient rankings providing an explanation as to why problems may arise in the physiotherapistpatient interaction from the patient’s perspective. Based on the findings of Study 2 it was suggested that physiotherapists should actively seek to involve patients in their management. To do this effectively, physiotherapists would benefit from further training in communication skills to ensure that they can successfully adopt a patientcentred approach and to optimise the physiotherapist-patient interaction in private practice physiotherapy.

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Munthe, Victor. "Implementing voice communication technology in patient applications." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-417993.

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AstraZeneca as a biopharmaceutical company performs clinical trials on human volunteers every day. It is crucial that these participants complete the trial to maximise the medical learning from the trial but also to decrease the cost for AstraZeneca. Dropout's from clinical trials can not be eliminated but as a part of the work that AstraZeneca is doing to reduce dropouts, this thesis investigates the possibility to implement voice control into patient applications. The goal is to increase the usability of the systems used in clinical trials and in return reduce dropouts and increase medical knowledge. This thesis results in a discussion that can be used for future work on this topic. Opportunities that a voice-controlled system brings, together with its limitations are presented and results in a discussion regarding "data ownership". One of the main conclusions is that a voice-controlled system would bring a lot of positive features but that either the technology or the authorities are ready for such a system today. A suggested way forward can be to start trying clinical trials, where free-text responses are used for some questions, instead of fixed responses. This can help show the authorities the benefits of such a system and motivate them to open up for more technology.
AstraZeneca är ett läkemedelsbolag som utför kliniska studier på frivilliga deltagare varje dag. Det är avgörande att deltagarna avslutar studien för att maximera utfallet av medicinsk kunskap men även ur ett kostnadsperspektiv. Den här rapporten undersöker möjligheten att implementera röststyrning i kliniska studier för patienter som en del i arbetet AstraZeneca gör för att minska avhoppen. Målet är att öka användbarheten av systemen som används i kliniska studier idag som i sin tur minskar antalet avhopp och bidrar mer till medicinsk kunskap. Rapporten resulterar i en diskussion som kan användas i ett fortsatt arbete inom ämnet. Möjligheterna som ett röststyrt system medför tillsammans med dess begränsningar presenteras och slutar i en diskussion kring ägandeskap av data. En tydlig slutsats som arbetet resulterar i är att implementationen av ett röststyrt system medför många positiva aspekter men att myndigheterna och teknologin inte har kommit lika långt. Ett föreslaget sätt att fortsätta är att börja testa kliniska studier med frågor där svaret består av fri text istället för svarsalternativ. Resultatet från studien kan då i sin tur användas i diskussion med myndigheterna för att visa på alla positiva följder som ett röststyrt system medför.

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Ford, Sarah Theresa. "Analysing doctor-patient interactions in oncology : the development of the medical interaction process system (MIPS)." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272373.

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Jangland, Eva. "The Patient–Health-professional Interaction in a Hospital Setting." Doctoral thesis, Uppsala universitet, Institutionen för kirurgiska vetenskaper, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-151420.

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The overall aim of the thesis was to describe patient−health-professional interactions in a hospital setting, with a specific focus on the surgical care unit. The thesis consists of four studies and includes both qualitative and quantitative studies. Content analysis and phenomenography were used in the qualitative studies; the quantitative study was an intervention study with a three-phase quasi-experimental design. The findings of study I showed that patient complaints to a local Patients’ Advisory Committee about negative interactions with health professionals most often concerned the perceived insufficiencies of information, respect, and empathy. The findings of study II showed that experiences of negative interactions with health professionals caused long-term consequences for individual patients and reduced patients’ confidence in upcoming consultations. The findings of the phenomenographic study (III) showed that surgical nurses understand an important part of their work in qualitatively different ways, which can be presented as a hierarchy of increasing complexity and comprehensiveness. In the most restricted understanding, surgical nurses focus on the work task, whereas in the others surgical nurses demonstrate increasing degrees of patient-centeredness. Finally, the results of study IV showed that an uncomplicated intervention that invited patients to express their daily questions and concerns in writing (using the ‘Tell-us card’) improved the patients’ perceptions of participation in their care in a surgical care unit. For further implementation of the Tell-us card to succeed, it needs to be prioritized and supported by leaders in ongoing quality improvement work. The value of a patient-focused interaction needs to be the subject of ongoing discussions in surgical care units. Patients’ stories of negative interactions could be used as a starting point for discussions in professional reflection sessions. It is important to discuss and become aware of different ways of understanding professional interactions and relationships with patients; these discussions could open up new areas of professional development. Providing patients an opportunity to ask their questions and express their concerns in writing, and using this information in the patient−health-professional interaction, could be an important step towards improved patient participation.

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Kuenne, Christoph W., Sabrina Adamczyk, Matthias Rass, Angelika C. Bullinger, and Kathrin M. Möslein. "IT-based Interaction Platforms to Foster Virtual Patient Communities." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-143583.

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Kuenne, Christoph W., Sabrina Adamczyk, Matthias Rass, Angelika C. Bullinger, and Kathrin M. Möslein. "IT-based Interaction Platforms to Foster Virtual Patient Communities." Technische Universität Dresden, 2011. https://tud.qucosa.de/id/qucosa%3A28075.

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Books on the topic "Interaction patient"

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von Raffler-Engel, Walburga, ed. Doctor–Patient Interaction. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.

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Wynn, Rolf. Provider-patient interaction: A corpus-based study of doctor-patient and student-patient interaction. Kristiansand: Høyskoleforlaget, 1999.

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Marie, Haddad Amy, ed. Health professional and patient interaction. 7th ed. St. Louis, Mo: Saunders, 2007.

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B, Purtilo Ruth, ed. Health professional and patient interaction. 4th ed. Philadelphia: Saunders, 1990.

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Marie, Haddad Amy, ed. Health professional and patient interaction. 5th ed. Philadelphia: W.B. Saunders, 1996.

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Houtkoop-Steenstra, Hanneke. Summarizing in doctor-patient interaction. Dordrecht: Foris, 1986.

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1946-, Cadigan Robert T., ed. EMS street strategies: Effective patient interaction. Philadelphia: F.A. Davis, 1992.

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1946-, Cadigan Robert T., ed. EMS street strategies: Effective patient interaction. 2nd ed. Clifton Park, NY: Delmar Learning, 2003.

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Effective interaction with patients. Edinburgh: Churchill Livingstone, 1992.

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Effective interaction with patients. 2nd ed. New York: Churchill Livingstone, 1998.

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Book chapters on the topic "Interaction patient"

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Beuerlein, Juliana. "Preface." In Doctor–Patient Interaction, xiii. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.01beu.

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von Raffler-Engel, Walburga. "Introduction." In Doctor–Patient Interaction, xvii. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.02raf.

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von Raffler-Engel, Walburga. "Doctor-patient relationship in the 1980s." In Doctor–Patient Interaction, 1. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.03raf.

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Kaplan, Tamar. "An intercultural communication gap." In Doctor–Patient Interaction, 45. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.04kap.

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Neustein, Amy. "Medical history-taking as an interactive event." In Doctor–Patient Interaction, 61. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.05neu.

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Henzl, Vera M. "Linguistic means of social distancing in physician-patient communication." In Doctor–Patient Interaction, 77. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.06hen.

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Flader, Dieter. "The psychoanalytic discourse." In Doctor–Patient Interaction, 93. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.07fla.

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Mitchum, Patricia A. "Verbal and nonverbal communication in a family practive consultation." In Doctor–Patient Interaction, 109. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.08mit.

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Herzka, Heinz S. "The dialogics of a doctor-patient relationship." In Doctor–Patient Interaction, 159. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.09her.

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Müller, W. K. "Doctor-patient interactions in cases of severe oligophrenia and dementia." In Doctor–Patient Interaction, 181. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/pbns.4.10mul.

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Conference papers on the topic "Interaction patient"

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Dennis, Alex, and William Newman. "Supporting doctor-patient interaction." In Conference companion. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/257089.257292.

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Cheng, Marvin H., Po-Lin Huang, Hao-Chuan Chu, Li-Han Peng, and Ezzat Bakhoum. "Virtual Interaction Between Patients and Occupational Therapists Using an Assistive Robotic Device With Cyber-Physical System." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87289.

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In this paper, we propose to design, develop, and study a cyber-physical system that enables patients and therapists to virtually interact for rehabilitation activities with assistive robotic devices. The targeted users of this system are post-stroke patients. On the patient’s side, an assistive robotic device can generate the force that the therapist applies to the patient. On the therapist’s side, another robotic device can reproduce the responsive force generated by the patient. With this system, the interaction can be virtually established. In addition, by integrating real human trajectories, the proposed assistive robotic system can help patients to perform rehabilitation activities in their own pace. Such an assistive robotic system and virtual interacting scheme can minimize both patient’s and therapist’s traveling time. The assistive functions of this light weight design can also help patients to in their ADLs.

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Chandwani, Rajesh, and Rahul De. "Doctor-patient interaction in telemedicine." In the Sixth International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2517899.2517934.

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Vera-Munoz, Cecilia, Maria Teresa Arredondo, Manuel Ottaviano, Dario Salvi, and Wim Stut. "HeartCycle: User interaction and patient education." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6611166.

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Szilas, Nicolas, Lucie Chauveau, Kasper Andkjaer, Anna Laura Luiu, Mireille Bétrancourt, and Frédéric Ehrler. "Virtual Patient Interaction via Communicative Acts." In IVA '19: ACM International Conference on Intelligent Virtual Agents. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308532.3329457.

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Govindarajan, V., H. S. Udaykumar, S. Vigmostad, M. M. Levack, J. H. Gorman, B. M. Jackson, R. C. Gorman, and K. B. Chandran. "Fluid Structural Interaction of a Patient Specific Congenital Bicuspid Aortic Valve." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80196.

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Congenital Bicuspid Aortic Valve (BAV) is a valvular anomaly where a patient is born with a valve with two leaflets instead of a normal tri-leaflet valve. It has also been reported that BAVs are prone to progressive calcification and also other complications such as ascending aortic dilatation, dissection and rupture [1]. The geometrical variations with the BAV may be a factor in altering the deformation and stresses on the leaflets resulting in calcification of the leaflets earlier than with normal tri-leaflet aortic valves. Altered flow patterns past BAV into the ascending aorta can also be anticipated. Analysis of flow dynamics during the opening phase, and the resultant fluid forces on the aortic root could improve our understanding of aortic aneurysms and dissections observed in patients with BAV [2]. In this study, the valvular deformation and the flow across a patient-specific BAV and root are simulated using the method of fluid structural interaction analysis. The patient-specific geometry is obtained employing 3D ultrasound images segmented as point cloud data and surfaces are constructed with commercial software GAMBIT using NURBS based connectivity. The opening phase of the valve is simulated under flow with physiological Reynolds number and with realistic material properties for the leaflets and the aortic root. Such an analysis on the dynamics of BAV with patient-specific geometry may be a useful tool in stratifying BAV patients that may be at risk in developing valvular and ascending aortic pathology.

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Nejat, Goldie, Brian Allison, Nadia Gomez, and Andrew Rosenfeld. "The Design of an Interactive Socially Assistive Robot for Patient Care." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41811.

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It is anticipated that the use of assistive robots will be one of the most important service applications of robotic systems of the future. In this paper, a unique non-contact socially assistive robot consisting of a human-like demeanor is presented for utilization in hospital wards and veteran homes to study its role and impact on the well-being of patients, addressing patient’s needs and its overall effect on the quality of patient care. The robot will be an embodied entity that will participate in hands-off non-contact social interaction with a patient during the convalescence, rehabilitation or end-of-life care stage. The robot has been designed as a platform to incorporate the three design parameters of embodiment, emotion and non-verbal dialog to encourage natural interactions between the patient and itself. For perception, we describe the first application of utilizing varying intensity depth imaginary, via a 3D camera, for non-contact and non-restricting 3D gesture recognition and characterization.

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Colley, Ashley, Juho Rantakari, and Jonna Häkkilä. "Dual Sided Tablet Supporting Doctor-Patient Interaction." In CSCW '15: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2685553.2702672.

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Nygaard, Truls, Carlo Kriesi, Heikki Sjöman, and Martin Steinert. "From the eyes of the patient." In NordiCHI'18: Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240167.3240228.

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Sandeepa, Chamara, Charuka Moremada, Nadeeka Dissanayaka, Tharindu Gamage, and Madusanka Liyanage. "Social Interaction Tracking and Patient Prediction System for Potential COVID-19 Patients." In 2020 IEEE 3rd 5G World Forum (5GWF). IEEE, 2020. http://dx.doi.org/10.1109/5gwf49715.2020.9221268.

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Reports on the topic "Interaction patient"

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Mohan, Arvind, Courtney Shelley, Jacob Riglin, John Bernardin, and Sara Del Valle. Machine Intelligent Survival Models of Patient – Ventilation Interaction for COVID-19. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1645040.

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Biesecker, Barbara, Melissa Raspa, Douglas Rupert, Rebecca Moultrie, Robert Furberg, and Lauren A. McCormack. Making Clinical Trials More Patient-Centered Using Digital Interactive E-Consent Tools. RTI Press, October 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0063.1910.

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Abstract:

Research participants are required to give their consent to participate in clinical trials and nonexempt government-funded studies. The goal is to facilitate participant understanding of the intent of the research, its voluntary nature, and the potential benefits and harms. Ideally, participants make an informed choice whether to participate; one that is based on having sufficient relevant knowledge and that is consistent with their values and preferences. Achieving this objective can be challenging, and as such, many scholars have declared the consent process flawed or “broken.” Moreover, clinical trials are complex studies, and compelling evidence suggests that current consent processes are inadequate in achieving informed choice. E-consent offers a dynamic, engaging consent delivery mode that can effectively support making informed decisions about whether to participate in a trial.

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Holmberg, C., and J. Uberti. Interactive Connectivity Establishment Patiently Awaiting Connectivity (ICE PAC). RFC Editor, January 2021. http://dx.doi.org/10.17487/rfc8863.

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Lowry, Svetlana Z., Matthew T. Quinn, Mala Ramaiah, David Brick, Emily S. Patterson, Jiajie Zhang, Patricia Abbott, and Michael C. Gibbons. A Human Factors Guide to Enhance EHR Usability of Critical User Interactions when Supporting Pediatric Patient Care. National Institute of Standards and Technology, June 2012. http://dx.doi.org/10.6028/nist.ir.7865.

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Calagan, Jennifer L. Remote Interactive Monitoring of Patients on Anticoagulant Therapy to Improve Outcome and Avoid Complications. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada396446.

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Taylor, Kathryn L. Treatment Decision Making in Early-Stage Prostate Cancer: Evaluation of Computer-Based Patient Education and an Interactive Decision Aid. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada415639.

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Taylor, Kathryn L. Treatment Decision Making in Early-Stage Prostate Cancer: Evaluation of Computer-Based Patient Education and an Interactive Decision Aid. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada456152.

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Taylor, Kathryn L. Treatment Decision Making in Early-Stage Prostate Cancer: Evaluation of Computer-Based Patient Education and an Interactive Decision Aid. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada424654.

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Diefenbach, Michael A. Evaluating and Interactive, Multimedia Education and Decision Program for Early-Stage Prostate Cancer Patients in a Randomized Controlled Trial. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada452210.

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Diefenbach, Michael A. Evaluating an Interactive, Multimedia Education and Decision Program for Early-Stage Prostate Cancer Patients in a Randomized Controlled Trial. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada435019.

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