Delivery of operationally and economically efficient healthcare is becoming one of the national priorities of the United States. Healthcare experts universally agree that focus on individuals and participation of individuals in their own care is important to transform healthcare systems from reactive to preventative, from clinic-centric to patient-centric, and from disease-centred to wellness-centred.
The much-talked about smart health and wellbeing programmes promote safe, effective, efficient, equitable and patient-centred health and wellness services through research and innovation. Patient-centric healthcare requires the creation of baseline data for each and every individual separately. Application of population-based specifications to a specific individual may lead to wrong diagnosis and treatment, particularly when the individual differs from the population due to various factors such as genetics, environment, socioeconomic conditions and medical history.
The Institute of Medicine, the National Academy of Engineering, the Agency for Healthcare Research and Quality and the National Science Foundation have been strongly advocating the application of industrial and systems engineering tools to improve the healthcare delivery system. The application of industrial and systems engineering principles and tools to model, analyse, optimise and design patient-centric healthcare delivery systems, including services for diagnosis, treatment and care, can bring significant and lasting improvements to the United States healthcare system and the quality of life across the population.
This special issue will focus on research issues that support patient-centric healthcare delivery systems that are modular, dynamically configurable, distributed, responsive, expansive, flexible and resilient. The issue seeks research contributions that address computational, algorithmic and systemic issues related to patient-centric healthcare delivery. Research contributions from diverse communities including industrial engineering, systems engineering, management science and health services are welcome.
Suitable topics include but are not limited to:
- Descriptive, predictive and simulation models of patient-centric healthcare delivery
- Decision support tools to make optimal patient-centered evidence-based decisions
- Methods for measuring and optimising operations to improve quality and productivity of patient-centric healthcare delivery systems
- Performance and economic models of delivery systems to support operations management decisions
- Algorithms for stratification of patients and individuals-based clinical, biomedical and environmental data
- Algorithms for discovery of knowledge from aggregated population health records and for drawing inferences based on individual or population health data
- Information retrieval and data mining systems for personalised medicine
- Rapid response supply chains to support personalised healthcare
- Evaluation of technology and incentives toward patient-centric goals
- Information technology that supports communications among medical information systems in the clinic, at home and in person
- Lean concepts and practices for customised diagnosis, treatment and care
- Personalised and context-aware human-computer interfaces for a variety of tasks including patient, family and caregiver access to electronic health records and personal health records
- Telemedicine applications that promote patient-centric diagnosis, treatment and care and empower patients and healthy individuals to participate in their own health and treatment via customised education and visualisation of health data and knowledge
Manuscript submission: 31 July, 2013 (extended)
Notification of decisions: 1 December, 2013
Final revision: 31 January, 2014
Final paper acceptance decisions: 15 March, 2014
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