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Searching for health-related information online can cause negative emotions such as confusion or frustration. We propose a virtual chat assistant that can answer health-related questions empathically on the basis of a doctor-patient communication model. We plan to show that our proposed assistant is not only informative but also provides the positive user experience.
We introduce a functional prototype that detects medication names in a text-based electronic document and generates a Hyper Text Markup Language (HTML) file that contains links to websites about information of medications. We used the website, HealthCentral (http://www.healthcentral.com), as a resource of medication names of diabetes, Alzheimer, depression, cancer, and heart attack. This website provides...
Transferring collected physiological data from health facilities to a cloud-based health analytical platform can be seen as an efficient and cost effective approach to provide clinical support to rural and remote healthcare centres from urban based specialists. A cloud-based healthcare platform will reduce the requirement of patient transfer due to lack of clinical experts or providing consultative...
Drug-drug interactions (DDIs) are of great importance in drug safety. Currently, DDI signal detection mainly depends on post-marketing surveillance. Various data sources have been used by researchers for DDI detection such as spontaneous reporting system, electronic health records, Pharmacological Databases, and biomedical literatures. However, these data sources are limited by either high underreporting...
As the exchange of Electronic Health Records (EHRs) among different healthcare providers has become a point of interest, it poses serious security and privacy concerns. Previous work proposed to offer medical information exchange has been partially secure, expensive (in terms of messages exchanged), and sometimes requires special hardware, like smart cards, to be present with the users. In this paper,...
Research suggests that family members of ICU patients have not been meaningfully engaged in the care process, putting them at risk for experiencing fear, depression, stress, and disruptions of family relationships. To address this problem, we propose the design of a family-centered communication-information technology, ICUsmartCARE. Its purpose is to support collaboration by providing families increased...
Referrals play an essential role in the healthcare system. It has been shown that 60%~70% patients visiting hospitals are referrals. The Centers for Medicare and Medicaid (CMS) has released a large scale physician referral data set, which enables research on referral networks. Recently, we have developed a data-driven system to investigate referral networks based on the CMS open data. In this paper,...
Complex clinical decision-making could be facilitated by using population health data to inform clinicians. In two previous studies, we interviewed 16 infectious disease experts to understand complex clinical reasoning. For this study, we focused on answers from the experts on how clinical reasoning can be supported by population-based Big-Data. We found cognitive strategies such as trajectory tracking,...
Chronic kidney disease (CKD) is a major public health concern with rising prevalence. In this study we consider 24 predictive parameters and create a machine learning classifier to detect CKD. We evaluate our approach on a dataset of 400 individuals, where 250 of them have CKD. Using our approach we achieve a detection accuracy of 0.993 according to the F1-measure with 0.1084 root mean square error...
The U. S. Preventive Services Task Force recommends that clinicians engage in shared decision making with women at high-risk for breast cancer about medications to reduce their risk, also known as chemoprevention. However, uptake has been low (
A low-cost but high-accuracy mechanism for detecting falls is critical for many health and safety applications, including caring for the elderly. Existing approaches are unduly expensive and sensitive to user physique and biometrics. Additionally, most approaches were developed using limited, simulated fall data and often perform poorly in field tests. To resolve these issues, in this paper we propose...
Wearable health-monitoring systems must achieve a balance between the often opposing goals of hardware overhead and classification accuracy. Prior works have presented various approaches to dynamically scale the accuracy of these systems as a function of available resources. In this paper, we present a framework which retroactively improves the accuracy of prior estimates when resources become available,...
Together with elderly people, a system for the notification of medication intake and measuring the blood pressure has been developed. This system consists of a hardware part, displaying different visual signals to remind users, and a software part to configure the hardware accordingly. Those visual signals are displayed with the help of a lamp, which can be placed in the living room or at any other...
When people get low back pain (LBP), it is not always evident when to see a general practitioner (GP) or physiotherapist, or to perform self-care. A direct correct referral is essential for effective treatment to prevent the development of chronic LBP the utmost. In the context of designing a tool that is able to provide a referral advice to a patient, 63 healthcare professionals (GPs and physiotherapists)...
The de-personalised Electronic Healthcare Record (EHR) for secondary use has suffered re-identification. The Realistic Synthetic EHR (RS-EHR) is a promising solution safe from the threat of re-identification. This paper addresses the problem of generating the RS-EHR without using the real EHR by exploiting published Clinical Practice Guidelines (CPG) and Health Incidence Statistics (HIS). The CoMSER...
In ambient assisted living, the home care treatment of elderly people is faced with the unreliability of correctly identifying all activities over the entire day. As the self-assessment is quite weak, the sensor-based tracking is researched intensively. In this research, we propose a minimal set of low cost and non-intrusive sensors in order to identify a set of prescribed patient activities. Prototypes...
Critical value reporting is crucial to patient care in the hospital setting, but some normal or non-critical values are valuable to clinical decision making as well. We designed a system that allows providers to subscribe to electronic notifications of laboratory results to improve workflow and potentially patient care.
Background: The duplication of medication orders is a critical issue that causes medication errors for patients and wastes medical resources?National Health Insurance of Taiwan provided a NHI-PharmaCloud web-based database, and it contains the most complete personal drug history across different healthcare facilities in Taiwan. Currently, most healthcare facilities check the patients' cross facility...
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