scholarly journals Development of a novel medical physics patient consult program

2020 ◽  
Author(s):  
Bradley W Schuller ◽  
Jonathan A Baldwin ◽  
Elizabeth A Ceilley ◽  
Alexander Markovic ◽  
Jeffrey M Albert
Keyword(s):  
Patient Care ◽  
Treatment Planning ◽  
Medical Physics ◽  
Background Information ◽  
Patient Encounter ◽  
Treatment Delivery ◽  
Time Commitment ◽  
Medical Physicist ◽  
Treatment Intent ◽  
Planning Ct

AbstractPurposeTo develop a new patient consult program, where patients are invited to meet directly with a clinical medical physicist to learn and ask questions about the technical aspects of their care.MethodsPatients are invited to meet voluntarily with a clinical medical physicist directly after the treatment planning CT appointment, and then again after treatment starts. Each consult starts with an overview of the clinical medical physicist’s role in patient care. This is followed by a detailed explanation of the treatment planning CT, treatment planning, and treatment delivery processes. Data are collected after each patient encounter, including: age, gender, treatment intent, treatment site, consult duration, discussion points, overall impression, and a summary of the questions asked. Qualitative data analysis focused on understanding the number and types of questions asked during the physics consults. Additional analyses focused on evaluating the encounter notes for interesting insights regarding meeting tone, number of meeting attendees, and other non-clinical discussion points.ResultsSixty three patients were seen between August 2016 and December 2017, accounting for 29% of the total department patient load. The average physics consult duration was 24 minutes. When evaluating the patient encounter notes for overall tone, 55 patients (87%) had positive descriptors such as “pleasant conversation”. Thirty three patients (52%) brought at least one other person into the consult, and 27 patients (43%) contributed personal stories or professional background information to the conversation. When the collection of patient questions was grouped into question types, the data show that the majority of the consult discussion addresses questions related to treatment delivery, treatment planning, and other technical questions.ConclusionsIncorporation of a medical physics patient consult program into clinical practice requires modest time commitment, and has the benefits of increasing medical physics engagement with patient care and improving patient satisfaction through better education.

Guideline for radioimmunotherapy of rituximab relapsed or refractory CD20+ follicular B-cell nonHodgkin´s lymphoma

2004 ◽  
Vol 43 (05) ◽  
pp. 171-176 ◽  
Author(s):  
T. Behr ◽  
F. Grünwald ◽  
W. H. Knapp ◽  
L. Trümper ◽  
C. von Schilling ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Medical Physics ◽  
Essential Elements ◽  
Background Information ◽  
After Care ◽  
Complete Treatment ◽  
Close Cooperation ◽  
Work Up

Summary:This guideline is a prerequisite for the quality management in the treatment of non-Hodgkin-lymphomas using radioimmunotherapy. It is based on an interdisciplinary consensus and contains background information and definitions as well as specified indications and detailed contraindications of treatment. Essential topics are the requirements for institutions performing the therapy. For instance, presence of an expert for medical physics, intense cooperation with all colleagues committed to treatment of lymphomas, and a certificate of instruction in radiochemical labelling and quality control are required. Furthermore, it is specified which patient data have to be available prior to performance of therapy and how the treatment has to be carried out technically. Here, quality control and documentation of labelling are of greatest importance. After treatment, clinical quality control is mandatory (work-up of therapy data and follow-up of patients). Essential elements of follow-up are specified in detail. The complete treatment inclusive after-care has to be realised in close cooperation with those colleagues (haematology-oncology) who propose, in general, radioimmunotherapy under consideration of the development of the disease.

Fetal Occipital Encephalocele: A Case Report

2021 ◽  
pp. 875647932110668
Author(s):  
Amanda Hogan ◽  
Natalie Ullmer
Keyword(s):  
Case Report ◽  
Patient Care ◽  
Treatment Planning ◽  
Neural Tube ◽  
Neural Tube Defects ◽  
Three Dimensional ◽  
Improve Patient Care ◽  
Two Dimensional ◽  
Occipital Encephalocele ◽  
Improve Patient

Encephaloceles are considered neural tube defects, but their exact cause is unknown. The outcome is dismal, and essential management and counseling are needed for patients. Two-dimensional and three-dimensional sonography can be used to detect encephaloceles as early as 11 weeks, assist in treatment planning, and improve patient care. This case report presents an occipital encephalocele diagnosed by sonography and followed until delivery.

scholarly journals Considerations of providing patent and trademark assistance services at one's library

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrick Griffis ◽  
Jared Hoppenfeld
Keyword(s):  
Design Methodology ◽  
The United States ◽  
Background Information ◽  
United States Patent ◽  
Content Type ◽  
The Public ◽  
Time Commitment ◽  
Comprehensive Literature Review ◽  
States Patent ◽  
Provide Background Information

PurposeThe authors' goal in writing this article was to provide background information and detailed considerations to assist those wishing to provide patent and trademark assistance at their libraries. The major considerations include staffing, spaces and resources, with the time commitment from the staff being the most significant.Design/methodology/approachThis paper combined the experiences of an author relatively new to patent and trademark librarianship with one who has years of experience. These were used in tandem with knowledge gained from a decade of attendance at annual week-long seminars at the United States Patent and Trademark Office (USPTO) as well as by way of a comprehensive literature review.FindingsThe main commitment needed in providing patent and trademark services to the public is not money but the investment of time, which includes professional development, staffing, teaching classes and workshops, outreach and consultations.Originality/valueThe information in this paper should serve as guidance to anyone new to providing patent and trademark services within their libraries, including those at Patent and Trademark Resource Centers (PTRCs), Patent Information Centres (PATLIBs) and beyond. Although articles have been published on various aspects of intellectual property (IP) and libraries, a comprehensive guide to providing patent and trademark services has yet to be published.

scholarly journals THE MEDICAL PHYSICIST - SCIENTIST BEHIND THE CURTAIN

2021 ◽  
Vol 10 (4) ◽  
pp. 3212-3213
Author(s):  
Anurag A. Luharia
Keyword(s):  
Quality Assurance ◽  
Clinical Practice ◽  
Radiation Protection ◽  
Medical Physics ◽  
Analytical Techniques ◽  
Modern Medicine ◽  
Quality Assurance Program ◽  
Medical Physicist ◽  
Accurate Treatment ◽  
Medical Physicists

Ionizing radiation has validated its existence and effectiveness in modern medicine for both diagnostic and therapeutic use. For the last decade rapid growth in medical radiation application has witnessed in India towards the betterment of mankind, for safe and quality clinical practice, radiation protection and quality assurance. At the end of the 19th century Physics brought paradigm shift in the field of radiation-based medical diagnosis and treatment and giving rise to the modern medical physicist profession and revolutionized the practice of medicine. Medical Physicists are the scientists with Post graduation / PhD degrees, and certified from A.E.R.B as Radiological Safety Officer, deals with utilization of Physics knowledge in developing not only lifesaving tools & technology but also diagnosis and treatments of various medical conditions that help humans live longer and healthier. Medical Physicists are responsible to carry out the commissioning, establishment of entire Radiation facility and get the clearance of statutory compliances form authorities in order to start the clinical practice are also responsible for research, developing and evaluating new analytical techniques, planning and ensuring safe and accurate treatment of patients also provide advice about radiation protection, training and updating healthcare, scientific and technical staff , managing radiotherapy quality assurance program, mathematical modeling ,maintaining equipment ,writing reports, teaching ,laboratory management and administration. Now it’s a time to raise the curtain from the Medical Physics profession and utilize their services up to maximum extent in the field of scientific research, academic, teaching, diagnosis, treatment and safety.

scholarly journals Comprehensive Benchmark Procedures for Commissioning, Quality Assurance and Treatment Delivery for Quality Cancer Therapy Using Co-60 Teletherapy Machine

2014 ◽  
Vol 6 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Sadiq R Malik ◽  
Motiur Rahman ◽  
Mohsin Mia ◽  
Abdul Jobber ◽  
Ashish K Bairagi ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Cancer Therapy ◽  
Medical Physics ◽  
Treatment Delivery

No abstract available.DOI: http://dx.doi.org/10.3329/bjmp.v6i1.19752 Bangladesh Journal of Medical Physics Vol.6 No.1 2013 3-20 

scholarly journals The Emergence of Artificial Intelligence within Radiation Oncology Treatment Planning

Oncology ◽  
2020 ◽  
pp. 1-11
Author(s):  
Tucker J. Netherton ◽  
Carlos E. Cardenas ◽  
Dong Joo Rhee ◽  
Laurence E. Court ◽  
Beth M. Beadle
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Treatment Planning ◽  
Radiation Oncology ◽  
Radiation Treatment ◽  
Medical Physics ◽  
External Beam Radiotherapy ◽  
Radiation Treatment Planning ◽  
Planning Team ◽  
The Future

<b><i>Background:</i></b> The future of artificial intelligence (AI) heralds unprecedented change for the field of radiation oncology. Commercial vendors and academic institutions have created AI tools for radiation oncology, but such tools have not yet been widely adopted into clinical practice. In addition, numerous discussions have prompted careful thoughts about AI’s impact upon the future landscape of radiation oncology: How can we preserve innovation, creativity, and patient safety? When will AI-based tools be widely adopted into the clinic? Will the need for clinical staff be reduced? How will these devices and tools be developed and regulated? <b><i>Summary:</i></b> In this work, we examine how deep learning, a rapidly emerging subset of AI, fits into the broader historical context of advancements made in radiation oncology and medical physics. In addition, we examine a representative set of deep learning-based tools that are being made available for use in external beam radiotherapy treatment planning and how these deep learning-based tools and other AI-based tools will impact members of the radiation treatment planning team. <b><i>Key Messages:</i></b> Compared to past transformative innovations explored in this article, such as the Monte Carlo method or intensity-modulated radiotherapy, the development and adoption of deep learning-based tools is occurring at faster rates and promises to transform practices of the radiation treatment planning team. However, accessibility to these tools will be determined by each clinic’s access to the internet, web-based solutions, or high-performance computing hardware. As seen by the trends exhibited by many technologies, high dependence on new technology can result in harm should the product fail in an unexpected manner, be misused by the operator, or if the mitigation to an expected failure is not adequate. Thus, the need for developers and researchers to rigorously validate deep learning-based tools, for users to understand how to operate tools appropriately, and for professional bodies to develop guidelines for their use and maintenance is essential. Given that members of the radiation treatment planning team perform many tasks that are automatable, the use of deep learning-based tools, in combination with other automated treatment planning tools, may refocus tasks performed by the treatment planning team and may potentially reduce resource-related burdens for clinics with limited resources.

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