General care of the older cancer patient.

With increasing age, there are greater numbers of older people who will be diagnosed with cancer. It must be remembered that such individuals have increased frailty and have a number of geriatric syndromes and conditions particularly pertinent to older age, including incontinence, poor cognition and impaired nutrition. It is often difficult to define the effects of cancer and its treatment or complications, and separate these from the effects of normal ageing and geriatric syndromes. The documentation of poor nutrition and its management must combine knowledge from both geriatric medicine and oncology. Nutrition serves to identify key healthcare professionals who are all essential in any patient at risk or suffering from malnutrition. Incontinence must be actively sought, its cause identified and efforts made to either 'cure' it or, in certain circumstances, 'manage' it. Older patients with cancer are cared for predominantly by older relations and informal care mechanisms and special consideration of their physical and practical needs are paramount. In this area, nurses, doctors, therapists and social workers should work to identify formal and informal mechanisms to support particularly the older carer.

Pragmatic oriented data interoperability for smart healthcare information systems

Smart healthcare is a complex domain for systems integration due to human and technical factors and heterogeneous data sources involved. As a part of smart city, it is such a complex area where clinical functions require smartness of multi-systems collaborations for effective communications among departments, and radiology is one of the areas highly relies on intelligent information integration and communication. Therefore, it faces many challenges regarding integration and its interoperability such as information collision, heterogeneous data sources, policy obstacles, and procedure mismanagement. The purpose of this study is to conduct an analysis of data, semantic, and pragmatic interoperability of systems integration in radiology department, and to develop a pragmatic interoperability framework for guiding the integration. We select an on-going project at a local hospital for undertaking our case study. The project is to achieve data sharing and interoperability among Radiology Information Systems (RIS), Electronic Patient Record (EPR), and Picture Archiving and Communication Systems (PACS). Qualitative data collection and analysis methods are used. The data sources consisted of documentation including publications and internal working papers, one year of non-participant observations and 37 interviews with radiologists, clinicians, directors of IT services, referring clinicians, radiographers, receptionists and secretary. We identified four primary phases of data analysis process for the case study: requirements and barriers identification, integration approach, interoperability measurements, and knowledge foundations. Each phase is discussed and supported by qualitative data. Through the analysis we also develop a pragmatic interoperability framework that summaries the empirical findings and proposes recommendations for guiding the integration in the radiology context.