Introduction

Hesse, Bradford W.; Ahern, David K.; Beckjord, Ellen

doi:10.1016/b978-0-12-802115-6.00026-4

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…The new approach must be predictive, using cutting edge analytics to forecast risk; preemptive, utilizing prevention and early detection formulae to act upon those risk profiles before damage occurs; personalized, tailoring treatments to patients’ risk and preference profiles to create solutions that are both efficacious and value congruent; and participative, embracing the collaborative capacity of internet platforms to support patient engagement, community improvement, and citizen science [22]. To enable this new brand of medicine (referred to by some as “P4 Medicine”), health system engineers must focus on eliminating the disconnects in care that have otherwise derailed efficacious, empowered action across care teams inclusive of patients and their caregivers [23]. Just as FedEx and Amazon dominated the marketplace by ensuring custodial responsibility across the consumer fulfillment supply chain, new leaders in biomedicine will be those who eliminate the structural disconnects in care to ensure custodial support for covered lives across the interconnected supply chains delivering preemptive and participative care.…”

Section: Solving the Last Mile Problem: The Next 25 Yearsmentioning

confidence: 99%

Role of the Internet in Solving the Last Mile Problem in Medicine

Hesse

2019

J Med Internet Res

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Internet-augmented medicine has a strong role to play in ensuring that all populations benefit equally from discoveries in the medical sciences. Yet, data from the Centers for Disease Control and Prevention collected from 1999 to 2014 suggested that during the first phase of internet diffusion, progress against mortality has stalled, and in some cases, receded in rural areas that are traditionally underserved by medical and broadband resources. This problem of failing to extend the benefits of extant medical knowledge equitably to all populations regardless of geography can be framed as the “last mile problem in health care.” In theory, the internet should help solve the last mile problem by making the best knowledge in the world available to everyone worldwide at a low cost and no delay. In practice, the antiquated supply chains of industrial age medicine have been slow to yield to the accelerative forces of evolving internet capacity. This failure is exacerbated by the expanding digital divide, preventing residents of isolated, geographically distant communities from taking full advantage of the digital health revolution. The result, according to the Federal Communications Commission’s (FCC’s) Connect2Health Task Force, is the unanticipated emergence of “double burden counties,” ie, counties for which the mortality burden is high while broadband access is low. The good news is that a convergence of trends in internet-enabled health care is putting medicine within striking distance of solving the last mile problem both in the United States and globally. Specific trends to monitor over the next 25 years include (1) using community-driven approaches to bridge the digital divide, (2) addressing structural disconnects in care through P4 Medicine, (3) meeting patients at “point-of-need,” (4) ensuring that no one is left behind through population management, and (5) self-correcting cybernetically through the learning health care system.

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Section: Solving the Last Mile Problem: The Next 25 Yearsmentioning

confidence: 99%

Role of the Internet in Solving the Last Mile Problem in Medicine

Hesse

2019

J Med Internet Res

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“…These have often been based on adapting user interface design methods from other fields. Informatics has recently been used to improve processes and outcomes in the healthcare of cancer, see Hesse et al ( 2016 ).…”

Section: Conjuring Creativity: Future Workmentioning

confidence: 99%

Manufacturing Magic and Computational Creativity

Williams

McOwan

2016

Front. Psychol.

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This paper describes techniques in computational creativity, blending mathematical modeling and psychological insight, to generate new magic tricks. The details of an explicit computational framework capable of creating new magic tricks are summarized, and evaluated against a range of contemporary theories about what constitutes a creative system. To allow further development of the proposed system we situate this approach to the generation of magic in the wider context of other areas of application in computational creativity in performance arts. We show how approaches in these domains could be incorporated to enhance future magic generation systems, and critically review possible future applications of such magic generating computers.

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