Home-Based Multi-parameter Analysis for Early Risk Detection and Management of a Chronic Disease

2018 ◽  
pp. 46-68
Author(s):  
Christos Goumopoulos ◽  
Athanasia Lappa
Keyword(s):  
Chronic Disease ◽  
Parameter Analysis ◽  
Risk Detection ◽  
Early Risk ◽  
Home Based

scholarly journals HeartCare+: A Smart Heart Care Mobile Application for Framingham-Based Early Risk Prediction of Hard Coronary Heart Diseases in Middle East

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Hoda Ahmed Galal Elsayed ◽  
Mariam Ahmed Galal ◽  
Liyakathunisa Syed
Keyword(s):  
Middle East ◽  
Mobile Technology ◽  
Rural Areas ◽  
Heart Diseases ◽  
Mobile App ◽  
High Rate ◽  
Cardiac Diseases ◽  
Coronary Heart Diseases ◽  
Risk Detection ◽  
Early Risk

Background. Healthcare is a challenging, yet so demanding sector that developing countries are paying more attention to recently. Statistics show that rural areas are expected to develop a high rate of heart diseases, which is a leading cause of sudden mortality, in the future. Thus, providing solutions that can assist rural people in detecting the cardiac risks early will be vital for uncovering and even preventing the long-term complications of cardiac diseases. Methodology. Mobile technology can be effectively utilized to limit the cardiac diseases’ prevalence in rural Middle East. This paper proposes a smart mobile solution for early risk detection of hard coronary heart diseases that uses the Framingham scoring model. Results. Smart HeartCare+ mobile app estimates accurately coronary heart diseases’ risk over 10 years based on clinical and nonclinical data and classifies the patient risk to low, moderate, or high. HeartCare+ also directs the patients to further treatment recommendations. Conclusion. This work attempts to investigate the effectiveness of the mobile technology in the early risk detection of coronary heart diseases. HeartCare+ app intensifies the communication channel between the lab workers and patients residing in rural areas and cardiologists and specialist residing in urban places.

scholarly journals The Evaluation of Smart Speaker Skills for Chronic Disease Management of Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 693-694
Author(s):  
Melissa Pighin ◽  
Yong Kyung Choi
Keyword(s):  
Blood Pressure ◽  
Older Adults ◽  
Chronic Disease ◽  
Disease Management ◽  
Intervention Program ◽  
Chronic Disease Management ◽  
Health Management ◽  
Medication Management ◽  
Median Number ◽  
Home Based

Abstract A voice-activated smart speaker is an emerging technology that presents unique opportunities to support the chronic disease management of older adults. We identified the available health-related smart speaker skills in Amazon Alexa platform that support chronic disease management and assessed their functionalities to inform the development of a home-based lifestyle intervention program for older adults with cardiovascular disease and type 2 diabetes. From January to March 2021, we searched Alexa Skills using keywords related to diabetes, medication, blood pressure and nutrition management. Our search produced total 156 potentially relevant skills (63 diabetes, 57 medication, 11 blood pressure and 25 nutrition related), of which 22 skills met inclusion criteria. Apps were excluded if it was only informational, not relevant to the topic, had zero user rating, available in language other than English, and required an external device or a subscription to a specific health plan or service. 22 skills (4 diabetes, 8 medication, 3 blood pressure and 7 nutrition) were evaluated with Echo Show 8 device. The skills were evaluated using the modified version of IMS Institute for Healthcare Informatics app functionality scores and the score (0 to 11) was calculated accordingly. The median number of functionalities was 3.5 and 68% of skills (15/22) had 4 or fewer functions. The highest rated skill was a medication management app named myNurseBot having 6 out of 11 functionalities. The poor functionality score highlights a need for a more robust and comprehensive smart speaker skill to support the health management of older adults.

Impact of prenatal exposure characterization on early risk detection: Methodologic insights for the HEALthy Brain and Child Development (HBCD) study

2021 ◽  
pp. 107035
Author(s):  
Suena H. Massey ◽  
Norrina B. Allen ◽  
Lindsay Pool ◽  
Emily S. Miller ◽  
Nicole R. Pouppirt ◽  
...  
Keyword(s):  
Child Development ◽  
Prenatal Exposure ◽  
Risk Detection ◽  
Early Risk

Unerwartete Unternehmensinsolvenz trotz testiertem Risikomanagement? – Lessons Learned aus der Insolvenz der Gerry Weber International AG

2020 ◽  
Vol 61 (3) ◽  
pp. 139-154
Author(s):  
Werner Gleißner ◽  
Kay H. Hofmann
Keyword(s):  
Annual Report ◽  
Detection System ◽  
Lessons Learned ◽  
Legal Requirements ◽  
External Auditors ◽  
Detection Systems ◽  
Risk Detection ◽  
Early Risk ◽  
Management Procedures ◽  
Risk Aggregation

Summary Studies show that the implemented and certified early risk detection systems in practice are often unable to identify developments that could jeopardize a company’s existence. This is due to methodological weaknesses, e.g. insufficient consideration of the liquidity effect of risks, the lack of analysis of extreme risks and, in particular, the absence of adequate risk aggregation that considers interdependencies and hence combination effects of risks. In many recent insolvencies, among them the here investigated case of Gerry Weber International AG, it is easy to see that the early risk detection system, as explained in the Annual Report, has not fulfilled the legal requirements. In order to avoid such „unexpected insolvencies“, it is necessary to implement advanced risk management procedures and pursue audits that are more rigorous. The article at hand develops a concise but comprehensive assessment scheme that may not only be easily applied within companies but also by external auditors. Zusammenfassung Die meisten börsennotierten Gesellschaften haben ein Risikofrüherkennungssystem, das vom Abschlussprüfer ohne den Verweis auf schwerwiegende Mängel testiert wird. Tatsächlich zeigen Studien, dass die in der Praxis implementierten Systeme häufig ungeeignet sind, um an sich erkennbare bestandsgefährdende Entwicklungen zu identifizieren. Dies liegt an methodischen Schwächen, z. B. an einer fehlenden Betrachtung der Liquiditätswirkung von Risiken, einer vernachlässigten Analyse von Extremrisiken und insb. am Fehlen einer Risikoaggregation, die auch Kombinationseffekte berücksichtigt. Bei Insolvenzen, wie hier im Beispiel von Gerry Weber, lässt sich bei Betrachtung des dokumentierten Risikomanagementsystems erkennen, dass die gesetzlichen Anforderungen nicht erfüllt wurden. Um solche „überraschenden Insolvenzen“ zu vermeiden, ist es erforderlich, bessere Verfahren zu implementieren und durch Prüfer testieren zu lassen, was bisher nicht konsequent geschieht. Der Beitrag schlägt ein einfaches aber umfassendes Prüfschema für Risikofrüherkennungssysteme vor, das sowohl intern als auch von externen Prüfern verwendet werden kann.

DIESEL-X: A Game-Based Tool for Early Risk Detection of Dyslexia in Preschoolers

2015 ◽  
pp. 93-114 ◽  
Author(s):  
Luc Geurts ◽  
Vero Vanden Abeele ◽  
Véronique Celis ◽  
Jelle Husson ◽  
Lieven Van den Audenaeren ◽  
...  
Keyword(s):  
Risk Detection ◽  
Early Risk
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