Статті в журналах: "Interface-patient"

1

Misra, S., MB Hargreaves, and JM Blundy. "PHP28 PATIENT SATISFACTION—PATIENT EDUCATION INTERFACE." Value in Health 7, no. 3 (May 2004): 375. http://dx.doi.org/10.1016/s1098-3015(10)62546-6.

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Khadilkar, Satish V. "The Effective Doctor Patient Interface." Bombay Hospital Journal 63, no. 1 (2021): 1–2. http://dx.doi.org/10.15713/ins.bhj.40.

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3

Keith-Hynes, Patrick, Stephanie Guerlain, Benton Mize, Colleen Hughes-Karvetski, Momin Khan, Molly McElwee-Malloy, and Boris P. Kovatchev. "DiAs User Interface: A Patient-Centric Interface for Mobile Artificial Pancreas Systems." Journal of Diabetes Science and Technology 7, no. 6 (November 2013): 1416–26. http://dx.doi.org/10.1177/193229681300700602.

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4

Leiner, Stefan, David Parkins, and Orest Lastow. "Inhalation Devices and Patient Interface: Human Factors." AAPS Journal 17, no. 2 (January 16, 2015): 457–61. http://dx.doi.org/10.1208/s12248-015-9717-9.

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5

Gahan, Matthew J., Benjamin RK Lewis, Derek Moore, and Trevor M. Hodge. "The Orthodontic-Restorative Interface: 1. Patient Assessment." Dental Update 37, no. 2 (March 2, 2010): 74–80. http://dx.doi.org/10.12968/denu.2010.37.2.74.

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6

Leveridge, Michael. "The sacred doctor-user-interface-patient relationship." Canadian Urological Association Journal 16, no. 12 (November 22, 2022): 383–4. http://dx.doi.org/10.5489/cuaj.8202.

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Shinohara, Shunsuke. "The Interface between a Patient and a Doctor." Journal of Clinical Dentistry 25, no. 1-2 (2005): 242–47. http://dx.doi.org/10.14399/jacd1999.25.242.

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8

Kacmarek, Robert. "Newest Generation of Mechanical Ventilators: Improving Patient-Ventilator Interface." Seminars in Respiratory and Critical Care Medicine 14, no. 04 (July 1993): 251–61. http://dx.doi.org/10.1055/s-2007-1006325.

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9

Chatterton, Marie, Alison Blenkinsopp, and Kristian Pollock. "Statins and the interface between patient and community pharmacist." International Journal of Pharmacy Practice 14, no. 4 (December 2006): 255–62. http://dx.doi.org/10.1211/ijpp.14.4.0005.

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10

Creteur, I., M. Grangeasse, K. Alaimo, L. André, S. Auger, L. Desousa, N. Gantillon, C. Velut, C. Verwaerde, and C. Eyssette. "Le traitement personnel du patient, une interface à sécuriser." Le Pharmacien Hospitalier et Clinicien 50, no. 3 (September 2015): 318. http://dx.doi.org/10.1016/j.phclin.2015.07.016.

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Guger, Christoph, Brendan Allison, Fan Cao, Alexander Heilinger, Rupert Ortner, Woosang Cho, Joanna Cakala, and Krzysztof Malej. "Unresponsive Wakefulness Syndrome Patient Communicating With Brain-Computer Interface." Archives of Physical Medicine and Rehabilitation 98, no. 10 (October 2017): e126-e127. http://dx.doi.org/10.1016/j.apmr.2017.08.411.

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12

Thomas, Joshua, Thomas Murphy, Steve Tran, Samuel J. Howarth, David Starmer, and Martha Funabashi. "Characteristics of Forces at the Clinician–Patient and Patient–Table Interfaces During Thoracic Spinal Manipulation in Asymptomatic Adults Are Consistent With Deformable Body Models." Journal of Applied Biomechanics 38, no. 1 (February 1, 2022): 39–46. http://dx.doi.org/10.1123/jab.2021-0255.

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Investigating all forces exerted on the patient’s body during high-velocity, low-amplitude spinal manipulative therapy (SMT) remains fundamental to elucidate how these may contribute to SMT’s effects. Previous conflicting findings preclude our understanding of the relationship between SMT forces acting at the clinician–patient and patient–table interfaces. This study aimed to quantify forces at the clinician–participant and participant–table interfaces during thoracic SMT in asymptnomatic adults. An experienced clinician provided a posterior to anterior SMT centered to T7 transverse processes using predetermined force–time characteristics to 40 asymptomatic volunteers (20 females; average age = 27.2 [4.9] y). Forces at the clinician–participant interface were recorded by triaxial load cells; whereas, forces at the participant–table interface were recorded by the force-sensing table technology. Preload force, total peak force, time to peak, and loading rate at each interface were analyzed descriptively. Total peak vertical forces at the clinician–participant interface averaged 532 (71) N while total peak forces at the participant–table interface averaged 658 (33) N. Forces at the participant–table interface were, on average, 1.27 (0.25) times larger than the ones at the clinician–participant interface. Larger forces at the participant–table interface compared with the ones at the clinician–participant interface during thoracic SMT are consistent with mathematical models developed to investigate thoracic impact simulating a dynamic force-deflection response.

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13

Grave de Peralta, Rolando, Sara Gonzalez Andino, and Stephen Perrig. "Patient Machine Interface for the Control of Mechanical Ventilation Devices." Brain Sciences 3, no. 4 (November 15, 2013): 1554–68. http://dx.doi.org/10.3390/brainsci3041554.

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14

VO, Chau, Tru CAO, Nam DOAN, Son TU, Anh NGUYEN, Binh NGUYEN, and Bao HO. "EMRVisualization for Patient Progress Tracking: Interface Design and System Implementation." International Journal of Affective Engineering 18, no. 3 (2019): 117–28. http://dx.doi.org/10.5057/ijae.ijae-d-18-00025.

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15

Rodrigues, Cláudia Cristiane Filgueira Martins, Viviane Euzébia Pereira Santos, and Paulo Sousa. "Patient safety and nursing: interface with stress and Burnout Syndrome." Revista Brasileira de Enfermagem 70, no. 5 (October 2017): 1083–88. http://dx.doi.org/10.1590/0034-7167-2016-0194.

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ABSTRACT Objective: To analyze studies on stress, Burnout Syndrome, and patient safety in the scope of nursing care in the hospital environment. Method: This was an integrative literature review. Data collection was performed in February 2016 in the following databases: Medical Literature Analysis and Retrieval System Online - PubMed/MEDLINE, Latin American and Caribbean Literature in Health Sciences - LILACS. Results: Ten scientific productions were selected, which listed that factors contributing to stress and Burnout Syndrome of nursing professionals are the work environment as a source of stress, and excessive workload as a source of failures. Conclusion: The analysis found that the stress and Burnout Syndrome experienced by these professionals lead to greater vulnerability and development of unsafe care, and factors such as lack of organizational support can contribute to prevent these failures.

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16

Zachary, Wayne, Michael A. Szczepkowski, Jean-Christophe Le Mentec, Stanley Schwartz, Darius Miller, and Michael A. Bookman. "An Interface Agent for Retrieval of Patient-Specific Cancer Information." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 14 (October 1996): 742–46. http://dx.doi.org/10.1177/154193129604001405.

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PDQ and CANCERLIT are databases that represent potentially valuable resources for oncologists, but there are significant obstacles to their effective use in the clinical context. The clinician must learn where each database can be found, what it contains, and how to query it. More importantly, the clinician must also determine when and how each information resource is appropriate to the (clinical) task at hand, and integrate their general information with patient-specific data contained in patient records and clinical information systems. This research sought to remove these barriers to information use by developing a software agent in the human-computer interface that automates the information retrieval and integration process. The agent, developed from a cognitive model of how human experts perform these tasks, provides both a specific solution to the cancer information access problem, and a template for solving similar problems that occur with increasing frequency in many other domains.

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17

Wiig, Siri, and Preben H. Lindøe. "Patient safety in the interface between hospital and risk regulator1." Journal of Risk Research 12, no. 3-4 (June 2009): 411–26. http://dx.doi.org/10.1080/13669870902952879.

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18

Gahier, M., D. Gamet, K. Buffenoir, B. Perrouin Verbe, and R. Gross. "MSPMI study: Medical spastic patient machine interface MSPMI: Preliminary results." Annals of Physical and Rehabilitation Medicine 61 (July 2018): e83-e84. http://dx.doi.org/10.1016/j.rehab.2018.05.178.

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19

Barner, Janis, and Lora K. Hromadik. "Palliative Care and Interventional Radiology Interface to Improve Patient Outcomes." Journal of Radiology Nursing 39, no. 2 (June 2020): 103–5. http://dx.doi.org/10.1016/j.jradnu.2019.12.004.

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20

Sittig, Dean F., Zhihe Jiang, and Roger W. Jelliffe. "A graphical user interface to facilitate patient-specific drug dosing." Journal of Medical Systems 17, no. 5 (October 1993): 327–33. http://dx.doi.org/10.1007/bf01008534.

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21

Talan, Jamie. "WITH BRAIN-COMPUTER INTERFACE, A LOCKED-IN STROKE PATIENT ‘SPEAKS’." Neurology Today 14, no. 21 (November 2014): 1. http://dx.doi.org/10.1097/01.nt.0000457138.92033.77.

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22

HASE, Ryoya, Kohei KOBAYASHI, Takeru NAKANO, Takenori OBO, and Duk SHIN. "Multimodal Interface of Teleoperated Robotic Agent for Patient with Disabilities." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 2A1—G08. http://dx.doi.org/10.1299/jsmermd.2020.2a1-g08.

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23

Doyle, D. John. "An interface to display special physiologic signals on patient monitors." Journal of Clinical Monitoring 10, no. 6 (November 1994): 407–9. http://dx.doi.org/10.1007/bf01618423.

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24

Janss, Anna J., Adda Grimberg, Robert Ferry, and Gordon Heller. "Neuro-oncology-endocrinology interface: A patient who earned her salt." Medical and Pediatric Oncology 33, no. 4 (October 1999): 413–17. http://dx.doi.org/10.1002/(sici)1096-911x(199910)33:4<413::aid-mpo17>3.0.co;2-h.

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25

Waldmann, Andreas D., Karin H. Wodack, Alexander März, Asi Ukere, Constantin J. Trepte, Stephan H. Böhm, and Daniel A. Reuter. "Performance of Novel Patient Interface for Electrical Impedance Tomography Applications." Journal of Medical and Biological Engineering 37, no. 4 (June 15, 2017): 561–66. http://dx.doi.org/10.1007/s40846-017-0264-y.

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26

Lin, Laura, Racquel Isla, Karine Doniz, Heather Harkness, Kim J. Vicente, and Ben D. Harper. "Analysis, Redesign, and Evaluation of a Patient-Controlled Analgesia Machine Interface." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 11 (October 1995): 738–41. http://dx.doi.org/10.1177/154193129503901105.

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The hypothesis explored in this paper is that, by adopting human factors design principles, the use of medical equipment can be made safer and more efficient We have selected a commercially available patient-controlled analgesia (PCA) machine as a vehicle to test this hypothesis. A cognitive task analysis of PCA usage, combined with a set of human factors design principles, led to a redesigned PCA interface. An experimental evaluation was conducted, comparing this new interface with the existing interface. The results show that the new interface leads to significantly faster, less effortful, and more reliable performance. These findings have implications for improving the design of other medical equipment.

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27

Vojnović, Jelena, and Sanja Hromiš. "The importance of the interface in the management of acute respiratory failure." Sestrinska rec 23, no. 81 (2020): 8–11. http://dx.doi.org/10.5937/sestrec2081008v.

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Non-invasive ventilation is a form of mechanical ventilatory support that doesn't require endotracheal intubation of the patient. The interface (mask) is a connection between the device and the patient that allows the set pressure gradient supplied by the ventilator to be transmitted to the airways. Today, there are different types of interfaces, which differ in shape, size, mechanical properties, and comfort. Despite the wide of different mask, common reasons for poor patient adaptation to NIV are related to side effects of the interface such as air loss, skin damage, and mask discomfort. We can prevent these side effects with a basic knowledge of the principles of handling and selecting the optimal interface.

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Caine, Kelly, Spencer Kohn, Carrie Lawrence, Rima Hanania, Eric M. Meslin, and William M. Tierney. "Designing a Patient-Centered User Interface for Access Decisions about EHR Data: Implications from Patient Interviews." Journal of General Internal Medicine 30, S1 (December 6, 2014): 7–16. http://dx.doi.org/10.1007/s11606-014-3049-9.

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Gómez-Espinosa, Alfonso, Nancy Espinosa-Castillo, and Benjamín Valdés-Aguirre. "Foot-Mounted Inertial Measurement Units-Based Device for Ankle Rehabilitation." Applied Sciences 8, no. 11 (October 24, 2018): 2032. http://dx.doi.org/10.3390/app8112032.

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Ankle sprains are frequent injuries that occur among people of all ages. Ankle sprains constitute approximately 15% of all sports injuries, and are the most common traumatic emergencies. Without proper treatment and rehabilitation, a more severe sprain can weaken the ankle, making it more likely for new injures, and leading to long-term problems. In this work, we present an inertial measurement units (IMU)-based physical interface for measuring the foot attitude, and a graphical user interface that acts as a visual guide for patient rehabilitation. A foot-mounted physical interface for ankle rehabilitation was developed. The physical interface is connected to the computer by a Bluetooth link, and provides feedback to the patient while performing dorsiflexion, plantarflexion, eversion, and inversion exercises. The system allows for in-home rehabilitation at an affordable price while engaging the patient through active therapy. According to the results, more consistent rehabilitation could be achieved by providing feedback on foot angular position during therapy procedures.

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Karni, Liran, Ilir Jusufi, Dag Nyholm, Gunnar Oskar Klein, and Mevludin Memedi. "Toward Improved Treatment and Empowerment of Individuals With Parkinson Disease: Design and Evaluation of an Internet of Things System." JMIR Formative Research 6, no. 6 (June 9, 2022): e31485. http://dx.doi.org/10.2196/31485.

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Background Parkinson disease (PD) is a chronic degenerative disorder that causes progressive neurological deterioration with profound effects on the affected individual’s quality of life. Therefore, there is an urgent need to improve patient empowerment and clinical decision support in PD care. Home-based disease monitoring is an emerging information technology with the potential to transform the care of patients with chronic illnesses. Its acceptance and role in PD care need to be elucidated both among patients and caregivers. Objective Our main objective was to develop a novel home-based monitoring system (named EMPARK) with patient and clinician interface to improve patient empowerment and clinical care in PD. Methods We used elements of design science research and user-centered design for requirement elicitation and subsequent information and communications technology (ICT) development. Functionalities of the interfaces were the subject of user-centric multistep evaluation complemented by semantic analysis of the recorded end-user reactions. The ICT structure of EMPARK was evaluated using the ICT for patient empowerment model. Results Software and hardware system architecture for the collection and calculation of relevant parameters of disease management via home monitoring were established. Here, we describe the patient interface and the functional characteristics and evaluation of a novel clinician interface. In accordance with our previous findings with regard to the patient interface, our current results indicate an overall high utility and user acceptance of the clinician interface. Special characteristics of EMPARK in key areas of interest emerged from end-user evaluations, with clear potential for future system development and deployment in daily clinical practice. Evaluation through the principles of ICT for patient empowerment model, along with prior findings from patient interface evaluation, suggests that EMPARK has the potential to empower patients with PD. Conclusions The EMPARK system is a novel home monitoring system for providing patients with PD and the care team with feedback on longitudinal disease activities. User-centric development and evaluation of the system indicated high user acceptance and usability. The EMPARK infrastructure would empower patients and could be used for future applications in daily care and research.

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Nagy, Zoltán Zsolt, Huba J. Kiss, Ágnes I. Takács, Kinga Kránitz, Cecília Czakó, Tamás Filkorn, Árpád Dunai, Gábor L. Sándor, and Illés Kovács. "Results of femtosecond laser-assisted cataract surgery using the new 2.16 software and the SoftFit®Patient Interface." Orvosi Hetilap 156, no. 6 (February 2015): 221–25. http://dx.doi.org/10.1556/oh.2015.30089.

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Introduction: Femtosecond laser-assisted cataract surgery improved the results of cataract surgeries. Aim: Outcome analysis of femtosecond laser-assisted cataract surgery using the novel 2.16 software and the SoftFit®Patient Interface. Method: The novel software and the newly developed Patient Interface were used in 100 eyes of 100 patients. Results: Length of femtosecond laser pretreatment decreased to 45–60 seconds. The smaller size of the new patient interface resulted in easier docking even on pediatric eyes. Suction force used for docking decreased from 40–50 mmHg to 16–20 mmHg. Incidence rate of subconjunctival suffusion decreased from 40% to 15–20% and its clinical severity was reduced, too. No corneal microfolds evolved, thus the incidence rate of the free-floating capsulotomies increased from 30% to 97%. The total energy of femtosecond laser pretreatment was decreased by almost 50%. Corneal wounds had the desired structure, and they were easy to open and closed precisely. Conclusions: The SoftFit®patient interface and the novel software widened the possible uses of the femtosecond laser-assisted cataract surgery, e.g. in pediatric ophthalmology. Innovations improved the safety and the predictability of the method. Orv. Hetil., 2015, 156(6), 221–225.

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32

Luciano, Margaret M. "Coordination at the Interface: Understanding and Improving Cross-Unit Patient Handoffs." Academy of Management Proceedings 2017, no. 1 (August 2017): 13138. http://dx.doi.org/10.5465/ambpp.2017.259.

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33

VO, Chau, Tru CAO, Nam DOAN, Son TU, Anh NGUYEN, Binh NGUYEN, and Bao HO. "Erratum: EMRVisualization for Patient Progress Tracking: Interface Design and System Implementation." International Journal of Affective Engineering 18, no. 4 (2019): 215. http://dx.doi.org/10.5057/ijae.18.215.

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34

Navarro-Tuch, Sergio A., Jack Gammack, David Kang, and Sang-Gook Kim. "Axiomatic design of a man-machine interface for Alzheimer’s patient care." IOP Conference Series: Materials Science and Engineering 1174, no. 1 (August 1, 2021): 012007. http://dx.doi.org/10.1088/1757-899x/1174/1/012007.

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Kaye, Jane, Edgar A. Whitley, David Lund, Michael Morrison, Harriet Teare, and Karen Melham. "Dynamic consent: a patient interface for twenty-first century research networks." European Journal of Human Genetics 23, no. 2 (May 7, 2014): 141–46. http://dx.doi.org/10.1038/ejhg.2014.71.

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36

Wood, Heather. "Brain–computer interface unlocks the mind of a patient with ALS." Nature Reviews Neurology 13, no. 1 (December 2, 2016): 6. http://dx.doi.org/10.1038/nrneurol.2016.189.

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37

Pinsky, Michael R. "The patient-ventilator interface: New insights, new therapies, and new challenges." Journal of Critical Care 7, no. 4 (December 1992): 219–20. http://dx.doi.org/10.1016/0883-9441(92)90018-3.

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38

Guzley, Ruth M., Norah E. Dunbar, and Stephanie A. Hamel. "Telehealth, Managed Care, and Patient-Physician Communication: Twenty-first Century Interface." Annals of the International Communication Association 26, no. 1 (January 2002): 326–64. http://dx.doi.org/10.1080/23808985.2002.11679018.

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Mwawaka, Jimmy S. "Re-Engineering Collaborative Practice in Primary Care: Integrating Community Pharmacy to the Clinic; Creating a Pharmacy Referral and Quality Circle." INNOVATIONS in pharmacy 12, no. 3 (July 23, 2021): 12. http://dx.doi.org/10.24926/iip.v12i3.4210.

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Pharmacy practice is part of a value chain made up of suppliers(S), inputs(I), processes(P), outputs(O), and customers(C). The interface between community pharmacies and clinic-based prescribers is complicated by challenges related to gaps in the design of the chain. The supplier-input-process-outcome-customer (SIPOC) model can be used to re-engineer the chain: integrating an intervening clinical pharmacist in the interface creates a structure for interprofessional collaboration and communication across the interface. This innovation has important implications for patient referral between clinic and pharmacy, and the future role and scope of all patient-facing pharmacists.

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Khosla, Vivek, Phil Davison, Harvey Gordon, and Verghese Joseph. "The interface between general and forensic psychiatry: the present day." Advances in Psychiatric Treatment 20, no. 5 (September 2014): 359–65. http://dx.doi.org/10.1192/apt.bp.109.007336.

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SummaryWith the subspecialisation of psychiatry in the UK, clinicians encounter problems at the interfaces between specialties. These can lead to tension between clinicians, which can be unhelpful to the clinical care of the patient. This article focuses on the interface between general and forensic psychiatry in England and Wales. The pattern of mental health services in England and Wales differs to an extent from those in Scotland, Northern Ireland and in the Republic of Ireland. Consequently, the interface between general and forensic psychiatry is subject to varying influences. Important interface issues include: the definition of a ‘forensic patient’; the remit and organisation of services; resources; clinical responsibility; and care pathways. This article also discusses a general overview of how to improve collaboration between forensic and general adult psychiatric services.Learning Objectives•Develop an understanding of important issues at the forensic/general adult psychiatry interface.•Be aware of areas of conflict that may arise at the forensic/general adult psychiatry interface.•Be aware of options for optimum cooperation at the interface.

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Grossman, Lisa, Steven Feiner, Elliot Mitchell, and Ruth Masterson Creber. "Leveraging Patient-Reported Outcomes Using Data Visualization." Applied Clinical Informatics 09, no. 03 (July 2018): 565–75. http://dx.doi.org/10.1055/s-0038-1667041.

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Background Health care organizations increasingly use patient-reported outcomes (PROs) to capture patients' health status. Although federal policy mandates PRO collection, the challenge remains to better engage patients in PRO surveys, and ensure patients comprehend the surveys and their results. Objective This article identifies the design requirements for an interface that assists patients with PRO survey completion and interpretation, and then builds and evaluates the interface. Methods We employed a user-centered design process that consisted of three stages. First, we conducted qualitative interviews and surveys with 13 patients and 11 health care providers to understand their perceptions of the value and challenges associated with the use of PRO measures. Second, we used the results to identify design requirements for an interface that collects PROs, and designed the interface. Third, we conducted usability testing with 12 additional patients in a hospital setting. Results In interviews, patients and providers reported that PRO surveys help patients to reflect on their symptoms, potentially identifying new opportunities for improved care. However, 6 out of 13 patients reported significant difficultly in understanding PRO survey questions, answer choices and results. Therefore, we identified aiding comprehension as a key design requirement, and incorporated visualizations into our interface design to aid comprehension. In usability testing, patients found the interface highly usable. Conclusion Future interfaces designed to collect PROs may benefit from employing strategies such as visualization to aid comprehension and engage patients with surveys.

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Reppucci, Diana, Debra Medin, Suhail Al-Saleh, Mary Jane Smith, Jill Barter, and Reshma Amin. "An Adverse Reaction in the Pediatric Sleep Laboratory." Canadian Respiratory Journal 2016 (2016): 1–2. http://dx.doi.org/10.1155/2016/9712579.

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We present a case of a 15-month-old boy with Cornelia de Lange Syndrome (NIPBL gene mutation). On a PSG, central sleep apnea (central apnea-hypopnea index of 19/hour) and nocturnal hypoventilation (transcutaneous CO2> 50 mmHg for 53% of the night) were found. A positive pressure initiation study was aborted because the patient developed a serious adverse reaction. The differential diagnosis included a skin fragility condition versus an allergic contact dermatitis to the interface; this could be from the povidone-iodine solution used to clean the NiPPV interface or from the plastic of the interface itself. A skin biopsy was performed which was normal. The reaction was likely secondary to an allergic contact dermatitis from the povidone-iodine solution used to clean the NiPPV interface. The patient is currently tolerating NiPPV.

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Miyata, Yasushi, and Kei Mukohara. "The Patient-Centered Medical Home Neighbor. The Interface of Patient-Centered Medical Home with Specialty/Subspecialty Practices." Nihon Naika Gakkai Zasshi 104, no. 5 (2015): 1006–17. http://dx.doi.org/10.2169/naika.104.1006.

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Alpert, Jordan M., Naga S. Prabhakar Kota, Sanjay Ranka, Tonatiuh V. Mendoza, Laurence M. Solberg, Parisa Rashidi, and Todd M. Manini. "A Simulated Graphical Interface for Integrating Patient-Generated Health Data From Smartwatches With Electronic Health Records: Usability Study." JMIR Human Factors 7, no. 4 (October 30, 2020): e19769. http://dx.doi.org/10.2196/19769.

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Background Wearable technology, such as smartwatches, can capture valuable patient-generated data and help inform patient care. Electronic health records provide logical and practical platforms for including such data, but it is necessary to evaluate the way the data are presented and visualized. Objective The aim of this study is to evaluate a graphical interface that displays patients’ health data from smartwatches, mimicking the integration within the environment of electronic health records. Methods A total of 12 health care professionals evaluated a simulated interface using a usability scale questionnaire, testing the clarity of the interface, colors, usefulness of information, navigation, and readability of text. Results The interface was positively received, with 14 out of the 16 questions generating a score of 5 or greater among at least 75% of participants (9/12). On an 8-point Likert scale, the highest rated features of the interface were quick turnaround times (mean score 7.1), readability of the text (mean score 6.8), and use of terminology/abbreviations (mean score 6.75). Conclusions Collaborating with health care professionals to develop and refine a graphical interface for visualizing patients’ health data from smartwatches revealed that the key elements of the interface were acceptable. The implementation of such data from smartwatches and other mobile devices within electronic health records should consider the opinions of key stakeholders as the development of this platform progresses.

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Carino-Escobar, Ruben I., Marlene A. Rodriguez-Barragan, Paul Carrillo-Mora, and Jessica Cantillo-Negrete. "Brain-computer interface as complementary therapy for hemiparesis in an astrocytoma patient." Neurological Sciences 43, no. 4 (February 11, 2022): 2879–81. http://dx.doi.org/10.1007/s10072-022-05924-0.

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Reza, Abdi. "ELECTROCORTICOGRAPHY-BASED BRAIN COMPUTER INTERFACE FOR PEDIATRIC PATIENT: CHALLENGE ON THE HORIZON." JURNAL KEDOKTERAN 5, no. 1 (August 13, 2019): 91. http://dx.doi.org/10.36679/kedokteran.v5i1.117.

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Electrocorticography-based brain computer interface has accepted recognition as modality connecting human brain to computer device for its signal recording excellence and stability. Implantation for medical purpose has welcomed this modality for bypassing existing nervous system and natural organ to create alternative solution towards previously-unsolved medical problems. Clinical trials have already initiated for Electrocorticography-based BCI implantation in adult. Therefore, bridging a direct brain to computer connectivity in pediatric patient should also become possible. However, several characteristics has made Electrocorticography-based BCI for pediatric patient more complex and should await for further technical solution rather than its adult counterparts. Penghubung otak-komputer berbasis elektrokortikografi telah diakui sebagai metode menghubungkan sinyal otak langsung ke komputer dengan kualitas dan stabilitas perekaman sinyal yang andal. Sinyal otak yang dihubungkan langsung ke komputer dapat memberikan pertolongan bagi pasien dengan kelumpuhan oleh berbagai sebab. Uji penerapan klinis dengan implantasi penghubung otak-komputer berbasis elektrokortikografi telah diujilaksanakan pada pasien dewasa (Vastenseel et al., 2016). Dimasa mendatang, kelompok pasien anak diharapkan dapat memperoleh manfaat dari terobosan teknologi kedokteran tersebut. Beberapa perbedaan karakteristik antara pasien dewasa dan anak membatasi kemungkinan implantasi jangka panjang pasien anak. Solusi bersama ilmu kedokteran dan teknik akan membuka kesempatan dimasa datang bagi implantasi elektroda pada anak.

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BaHammam, AhmedS, and HadilA Al Otair. "Ventilator- and interface-related factors influencing patient-ventilator asynchrony during noninvasive ventilation." Annals of Thoracic Medicine 15, no. 1 (2020): 1. http://dx.doi.org/10.4103/atm.atm_24_19.

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Edraki, Alireza, and Paul Milgram. "Designing an Information Querying Interface for a Rheumatoid Arthritis Patient Record System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 48, no. 15 (September 2004): 1634–38. http://dx.doi.org/10.1177/154193120404801501.

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TAYLOR, ANNE. "A Serial Interface Design To Integrate Bedside Devices Into Patient Monitoring Systems." Journal of Clinical Engineering 17, no. 4 (July 1992): 325–30. http://dx.doi.org/10.1097/00004669-199207000-00016.

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Vansteensel, Mariska J., Elmar G. M. Pels, Martin G. Bleichner, Mariana P. Branco, Timothy Denison, Zachary V. Freudenburg, Peter Gosselaar, et al. "Fully Implanted Brain–Computer Interface in a Locked-In Patient with ALS." New England Journal of Medicine 375, no. 21 (November 24, 2016): 2060–66. http://dx.doi.org/10.1056/nejmoa1608085.

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