Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.

The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboration between different sites or data transfer to a third party, precautions are required to safeguard patient privacy. Safety measures are required to prevent inadvertent access to and transfer of identifiable information. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI Ethical and Legal standing committee with the mandate to guide the medical imaging community in terms of best practices in data management, access to health care data, de-identification, and accountability practices. Part 1 of this article will inform CAR members on principles of de-identification, pseudonymization, encryption, direct and indirect identifiers, k-anonymization, risks of reidentification, implementations, data set release models, and validation of AI algorithms, with a view to developing appropriate standards to safeguard patient information effectively.

Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations.

The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboration between different sites or data transfer to a third party, precautions are required to safeguard patient privacy. Safety measures are required to prevent inadvertent access to and transfer of identifiable information. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI Ethical and Legal standing committee with the mandate to guide the medical imaging community in terms of best practices in data management, access to health care data, de-identification, and accountability practices. Part 2 of this article will inform CAR members on the practical aspects of medical imaging de-identification, strengths and limitations of de-identification approaches, list of de-identification software and tools available, and perspectives on future directions.

Analogies in Genomics Policymaking: Debates and Drawbacks.

The analogy between genomics and imaging has been an important touchstone in the debate on how secondary findings should be handled in both clinical and research genomics contexts. However, a critical eye is needed to understand whether an analogy like this one provides an adequate basis for policymaking in genomics. Genomics and imaging are undoubtedly similar in certain ways, but whether that similarity is adequate to justify adopting identical policies is a task that requires further analysis. This is highlighted by the fact that secondary findings are produced in other domains of medicine and public health, such as newborn screening programs, routine laboratory panels, and antibiotic sensitivity testing, and that the practices for handling secondary findings in each of these areas are different. These examples demonstrate that medicine has no single comprehensive policy or set of practices for managing secondary findings. Analogies to imaging, newborn screening, routine testing panels, and antibiotic sensitivity testing all lead to different policy options for genomics. In this piece we argue that analogies are a powerful way of driving policy discussions by rendering two different areas of medical practice similar, but an overdependence on a single analogy risks limiting policy discussions in potentially deleterious ways.

Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework.

In this article, the authors propose an ethical framework for using and sharing clinical data for the development of artificial intelligence (AI) applications. The philosophical premise is as follows: when clinical data are used to provide care, the primary purpose for acquiring the data is fulfilled. At that point, clinical data should be treated as a form of public good, to be used for the benefit of future patients. In their 2013 article, Faden et al argued that all who participate in the health care system, including patients, have a moral obligation to contribute to improving that system. The authors extend that framework to questions surrounding the secondary use of clinical data for AI applications. Specifically, the authors propose that all individuals and entities with access to clinical data become data stewards, with fiduciary (or trust) responsibilities to patients to carefully safeguard patient privacy, and to the public to ensure that the data are made widely available for the development of knowledge and tools to benefit future patients. According to this framework, the authors maintain that it is unethical for providers to "sell" clinical data to other parties by granting access to clinical data, especially under exclusive arrangements, in exchange for monetary or in-kind payments that exceed costs. The authors also propose that patient consent is not required before the data are used for secondary purposes when obtaining such consent is prohibitively costly or burdensome, as long as mechanisms are in place to ensure that ethical standards are strictly followed. Rather than debate whether patients or provider organizations "own" the data, the authors propose that clinical data are not owned at all in the traditional sense, but rather that all who interact with or control the data have an obligation to ensure that the data are used for the benefit of future patients and society.

Developing communication support for interaction with children during acute radiographic procedures.

INTRODUCTION: The Convention on the Rights of the Child will be absorbed into Swedish law by 2020, which highlights the need to promote equality in communication between health care professionals and communicatively vulnerable children. In this regard, participation and person-centredness is important in the interaction with each child to provide adequate information on the peri-radiographic process in a way that the child can understand. Hence, the aim was to develop communication support for interaction with children during acute radiographic procedures. METHOD: The study has a qualitative design adapting a multiphase structure. A participatory design was used which included four phases conducted in succession to each other. Interviews were conducted with children from Elementary School and Special School. Questionnaires were collected from their parents and from radiographers in four different Radiology Departments. RESULTS: The analysis of the data highlighted the need for information in the peri-radiographic process. Parents and children wanted material that is easy to use and could be adapted in a person-centred way. CONCLUSION: A prototype of the ICIR (interactive communication support in radiology settings), with illustrations and accompanying text was developed that can be useful as information sharing in interaction between children, parents and health care professionals in the radiographic context. IMPLICATIONS FOR PRACTICE: The ICIR can be a usable tool for information sharing in the interaction between children, parents and health care professionals during radiographic procedures.

Ethical Dilemmas in Radiology: Survey of Opinions and Experiences.

OBJECTIVE. The aim of this study was to assess trainees' and practicing radiologists' perceptions and experiences in handling ethical situations. We sought to identify frequently encountered ethical dilemmas and how they are addressed in daily practice. MATERIALS AND METHODS. A questionnaire on ethics was sent by email invitation to 1569 radiologists and radiology trainees in an institutional database maintained for continuing medical education purposes on three separate occasions between September 17, 2016, and October 31, 2016. The link to the survey was also posted on social media sites via the authors' and institutional accounts on Facebook, Twitter, Instagram, and Aunt Minnie as well as on American College of Radiology and Radiological Society of North America web blogs. RESULTS. A total of 424 radiologists and trainees responded to the survey, for a response rate of 27% (424/1569). Of them, 363 responded to a question asking whether they had witnessed an ethical dilemma; 203 (56%) had. The wording of reports when a miss was discovered was not handled in a consistent fashion. Regarding disclosure, trainees were more likely than practicing radiologists to report theirs and others' errors to the patient. Of the 362 respondents who responded to a question about whether they would report a negligent act by a colleague to the group director, 292 (81%) stated that they would, but trainees were less likely than practicing radiologists to do so. CONCLUSION. This study found many common ethical dilemmas in radiology practices remain without an appropriate, objective, and unified approach to effectively guide the radiologist's actions. These results highlight a need to provide more uniform recommendations to assist radiologists in addressing ethical issues in an appropriate manner.

Patient perceptions regarding the use of smart devices for medical photography: results of a patient-based survey.

AIM: To assess patient perceptions regarding medical photography and the use of smart devices, namely mobile phones and tablets for medical photography. METHODS: A questionnaire-based survey was conducted among 280 consecutive adult patients who presented to the oculoplastics clinic at a tertiary eye care centre. The responses were tabulated and analysed. RESULTS: Of the 280 patients surveyed, 68% felt that medical photography had a positive impact on their understanding of their illnesses and 72% felt that the use of smartphones for medical photography was acceptable. Respondents below the age of 40 years were more likely to approve of the use of mobile phones for photography as compared to those over 40. Most patients (74%) preferred a doctor to be the person photographing them. While a majority approved of doctors and trainee physicians having access to their photographs, they felt non-physician healthcare personnel should not have access to clinical photographs. Also, 72% of the respondents felt that the patient's consent should be taken before using their photographs. It was noted that patient identification and breach of confidentiality could be some of the potential issues with using smart devices as cameras in the clinic. CONCLUSIONS: Clinical photography in general and, specifically, using smart devices for clinical photographs have gained acceptance among patients. The outcomes of this study may be utilized to create policy guidelines for the use of smart devices as photography tools in the clinics. The findings of this survey can also help to create standardized, uniform patient consent forms for clinical photography.

Rethinking Normal: Benefits and Risks of Not Reporting Harmless Incidental Findings.

The authors explore the benefits and risks of not reporting imaging findings that do not have clinical relevance, with the goal of developing recommendations to reduce their reporting. The authors review the example of incidentally detected, simple renal cysts (Bosniak category I), including medicolegal conditions required for such a shift in reporting practices to be acceptable. The authors propose four potential criteria for not reporting clinically unimportant findings and recommend that these criteria be debated in other contexts, so that they can be refined and implemented.

Assessing the sensitivity of images in research collections: A new approach at the Wellcome Library.

In 2014 The Wellcome Library, part of the Wellcome Trust, introduced a new policy in order to address research access to personal data within its collections. The policy has now been used by library staff for almost a year. The policy was devised using a multi-stage approach which consisted of internal surveys and 1:1 interviews. Library staff can use the policy to guide decisions based on what level of access to award material donated or contributed to the Wellcome collections. The policy has been applied to 1 - a series of victorian medical photographs supplied by University Hospitals Bristol NHS Foundation Trust, and 2 - an album of family photographs from the collection of the psychiatrist Dr Ann Dally. Following almost a year in circulation the advantages and disadvantages can now be summarised.

Cloud computing in medical imaging.

Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has been introduced only recently but is already one of the major topics of discussion in research and clinical settings. The provision of extensive, easily accessible, and reconfigurable resources such as virtual systems, platforms, and applications with low service cost has caught the attention of many researchers and clinicians. Healthcare researchers are moving their efforts to the cloud, because they need adequate resources to process, store, exchange, and use large quantities of medical data. This Vision 20/20 paper addresses major questions related to the applicability of advanced cloud computing in medical imaging. The paper also considers security and ethical issues that accompany cloud computing.