Smart Sensors for Health Care Application: Challenges and Opportunities : Keynote Talk #1

Author(s):  
Nguyen Duc Hoa
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
H Hilderink

Abstract The four-year Public Health Foresight Study (VTV) provides insight into the most important societal challenges for public health and health care in the Netherlands. The seventh edition of the Dutch Public Health Foresight study was published in 2018, with an update in 2020. In this update a business-as-usual or Trend Scenario was developed using 2018 as a base year. In the trend scenario demographic and epidemiological projections have been used to depict the future trends regarding ageing, health, disease, health behaviors, health expenditures and health inequalities. Next, these trends are used to identify the most important future challenges and opportunities for public health. In the 2020 update, special attentions is given to climate change and the local living environment and their impacts and interaction with public health outcomes. Trends in lifestyle-related lifestyle show both positive (smoking prevalence) and negative (overweight prevalence) future developments. Dementia will be the leading cause of mortality and disease burden in 2040 by far. Health care expenditures will double by 2040, with cancers showing the most rapid growth of all disease groups. The insights of this study are directly used as input for the National Health Policy Memorandum and for the National Prevention Accord.


2017 ◽  
Vol 13 (10) ◽  
pp. 1468-1480 ◽  
Author(s):  
Jaime C. Sapag ◽  
Brena F. Sena ◽  
Inés V. Bustamante ◽  
Sireesha J. Bobbili ◽  
Paola R. Velasco ◽  
...  

Cureus ◽  
2017 ◽  
Author(s):  
Tawfiq Khoja ◽  
Salman Rawaf ◽  
Waris Qidwai ◽  
David Rawaf ◽  
Kashmira Nanji ◽  
...  

The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.


2021 ◽  
Vol 13 (18) ◽  
pp. 10096
Author(s):  
Heather Kolakowski ◽  
Mardelle McCuskey Shepley ◽  
Ellie Valenzuela-Mendoza ◽  
Nicolas R. Ziebarth

The COVID-19 pandemic has disrupted most aspects of our lives: how we work, how we socialize, how we provide health care, and how we take care of our most vulnerable members of society. In this perspectives article, we provide a multidisciplinary overview of existing research covering these fields. Moreover, we enrich this research overview with news reporting and insights from a panel of expert practitioners affiliated with the Cornell Institute for Healthy Futures. We sketch existing evidence, focusing on how the pandemic has transformed our lives since March 2020. Then, for each of the fields covered by this article, we propose optimistic perspectives on what healthy living could look like in the future, given the current challenges and opportunities. In particular, we discuss the needed transformations of our workplaces, the health care market, senior living, healthy eating, and personal wellness.


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