International Journal of Healthcare Technology and Management (3 papers in press)
Emerging product-process archetypes in oncology: informing the sustainable provision of next-generation medicines
by Tomás S. Harrington, Jagjit Singh Srai, Ismail Najim
Abstract: The emergence of more targeted molecular therapies has contributed to accelerated growth within the oncology market, with forecast spends expected to be in the range of $74-84 billion by 2018. Coupled with its many specificities around pricing, insurance implications, and ethics, we argue that the oncology segment may best inform future pharmaceutical value network design characteristics. Through exploration of future state scenarios and opportunity areas, driven by the adoption of emerging process and digital technologies, a base framework is extended to enable a systematic assessment of candidates representative of the wider oncology market. These include niche, low volume drugs on-patent, through to higher volume generics with a history of supply shortages. Oncology archetypes are proposed classified as New Niche, Old Niche and Established Generics matching emerging process capabilities to future adaptive supply requirements, informing the potential for economies of drug repurposing, and associated models for reconfiguration based on benefits clustering.
Keywords: pharmaceuticals; oncology; value networks; sustainable industrial systems; futures.
Enhancing healthcare value by applying proactive measures: the role for business analytics and intelligence
by Nilmini Wickramasinghe, Jonathan Schaffer
Abstract: Healthcare is one of the most data-rich and data-generating industries. Yet, these data tend to be discontinuous, incomplete, lacking standardisation, or even erroneous and unusable. Pressure is increasing for healthcare organisations to provide increased value by improving health outcomes at a lower cost. In order to address these challenges, business analytics and intelligence (BA/BI) are critical strategic tools used to methodically analyse the wealth of seemingly disparate healthcare data sets and provide enhancement of healthcares overall performance through data-driven decision making. For acute and chronic oncology care processes, these pressures are mounting given the rising costs and increasingly complicated processes under the rising numbers and ages of the population. Given these pressures to improve healthcare value, this study proposes a systematic framework for the application of business analytics at one of the largest tertiary hospitals in Melbourne, Australia, in the quest for optimising healthcare.
Keywords: business analytics; business intelligence; clinical decision making; real-time analytics; evidence-based decisions; cancer treatment; oncology; action research methodology.
Rescheduling nursing staff with information technologybased staffing solutions: a scoping review
by Outi Tuominen, Sirkku Boucht, Helja Lundgren-laine, Mervi Flinkman, Sanna Salantera
Abstract: Rescheduling to cover the sudden absences of nursing staff members is a time-consuming part of a nurse managers daily work. The use of information technology-based (IT-based) staffing solutions is a potential solution to this issue. In order to address this challenge and improve the rescheduling process, this scoping review was created to identify, describe and analyse published papers focused on nursing staff rescheduling. The papers were analysed from the perspectives of nursing staff, patient care and organisational outcomes in hospital settings. The results showed that using IT-based staffing solutions for rescheduling can reduce both organisations staffing costs and nurse managers work tasks. Patient care consequences related to such solutions were not described in the reviewed papers. However, floating may also have an impact on the quality of patient care owing to the mixing of nursing staff members professional roles and skills. There is also a need for additional information about the usability of IT-based staffing solutions.
Keywords: personnel staffing and scheduling; rescheduling; nursing staff; management; hospital; rescheduling outcomes; information technology-based staffing solutions; scoping review.