A patient-centric distribution architecture for medical image sharing

iMAGE cloud: medical image processing as a service for regional healthcare in a hybrid cloud environment

OBJECTIVES

To handle the emergence of the regional healthcare ecosystem, physicians and surgeons in various departments and healthcare institutions must process medical images securely, conveniently, and efficiently, and must integrate them with electronic medical records (EMRs). In this manuscript, we propose a software as a service (SaaS) cloud called the iMAGE cloud.

METHODS

A three-layer hybrid cloud was created to provide medical image processing services in the smart city of Wuxi, China, in April 2015. In the first step, medical images and EMR data were received and integrated via the hybrid regional healthcare network. Then, traditional and advanced image processing functions were proposed and computed in a unified manner in the high-performance cloud units. Finally, the image processing results were delivered to regional users using the virtual desktop infrastructure (VDI) technology. Security infrastructure was also taken into consideration.

RESULTS

Integrated information query and many advanced medical image processing functions-such as coronary extraction, pulmonary reconstruction, vascular extraction, intelligent detection of pulmonary nodules, image fusion, and 3D printing-were available to local physicians and surgeons in various departments and healthcare institutions.

CONCLUSIONS

Implementation results indicate that the iMAGE cloud can provide convenient, efficient, compatible, and secure medical image processing services in regional healthcare networks. The iMAGE cloud has been proven to be valuable in applications in the regional healthcare system, and it could have a promising future in the healthcare system worldwide.

Seeing illness in art and medicine: a patient and printmaker collaboration

For many patients, viewing one's illness through medical imaging technology can be an unsettling experience. Patients are likely not to see themselves represented in medical images and may find it difficult to reconcile this new image with their own body image. In this article, a patient with multiple sclerosis and a printmaker describe a collaborative project they have developed, wherein the patient's medical images are incorporated into pieces of fine art. The aim of the project is to open up the interpretation of the ill-body to persons outside the medical field, so as to do justice to the multiple dimensions of the body chronically ill persons often inhabit.

Opportunities for Patient-centered Outcomes Research in Radiology

Recently created in 2010, the Patient-Centered Outcomes Research Institute (PCORI) supports patient-centered comparative effectiveness research with a focus on prioritizing high-impact studies and improving trial design methodology. The Association of University Radiologists Radiology Research Alliance Task Force on patient-centered outcomes research in Radiology aims to review recently funded imaging-centric projects that adhere to the methodologies established by PCORI. We provide an overview of the successful application of PCORI standards to radiology topics, highlight how these methodologies differ from other forms of radiology research, and identify opportunities for new projects as well as potential barriers for involvement. Our hope is that review of specific case examples in radiology will clarify the use and value of PCORI methods mandated and supported nationally by the Affordable Care Act.

The role of mobile technologies in health care processes: the case of cancer supportive care

Background

Health care systems are gradually moving toward new models of care based on integrated care processes shared by different care givers and on an empowered role of the patient. Mobile technologies are assuming an emerging role in this scenario. This is particularly true in care processes where the patient has a particularly enhanced role, as is the case of cancer supportive care.

Objective

This paper aims to review existing studies on the actual role and use of mobile technology during the different stages of care processes, with particular reference to cancer supportive care.

Methods

We carried out a review of literature with the aim of identifying studies related to the use of mHealth in cancer care and cancer supportive care. The final sample size consists of 106 records.

Results

There is scant literature concerning the use of mHealth in cancer supportive care. Looking more generally at cancer care, we found that mHealth is mainly used for self-management activities carried out by patients. The main tools used are mobile devices like mobile phones and tablets, but remote monitoring devices also play an important role. Text messaging technologies (short message service, SMS) have a minor role, with the exception of middle income countries where text messaging plays a major role. Telehealth technologies are still rarely used in cancer care processes. If we look at the different stages of health care processes, we can see that mHealth is mainly used during the treatment of patients, especially for self-management activities. It is also used for prevention and diagnosis, although to a lesser extent, whereas it appears rarely used for decision-making and follow-up activities.

Conclusions

Since mHealth seems to be employed only for limited uses and during limited phases of the care process, it is unlikely that it can really contribute to the creation of new care models. This under-utilization may depend on many issues, including the need for it to be embedded into broader information systems. If the purpose of introducing mHealth is to promote the adoption of integrated care models, using mHealth should not be limited to some activities or to some phases of the health care process. Instead, there should be a higher degree of pervasiveness at all stages and in all health care delivery activities.

Welcome to health information science and systems

Health Information Science and Systems is an exciting, new, multidisciplinary journal that aims to use technologies in computer science to assist in disease diagnoses, treatment, prediction and monitoring through the modeling, design, development, visualization, integration and management of health related information. These computer-science technologies include such as information systems, web technologies, data mining, image processing, user interaction and interface, sensors and wireless networking and are applicable to a wide range of health related information including medical data, biomedical data, bioinformatics data, public health data.