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This paper describes a humanitarian healthcare transformation strategy called Whole Person Integrated Care (WPIC). WPIC couples a Spreadsheet-based Software Framework (SSF) and a care delivery model that focus on increasing efficiency and effectiveness through evidence-based knowledge and action. This strategy: 1) integrates “sick care” (treatment of health problems) with “well care” (prevention and...
Conventionally, academic researchers who wish to submit their findings to a journal cannot rely on aid from a dedicated system. Instead, they need to gather their own information and analyze their own preferences and target journals. Therefore, they are unable to make the objective measurements, analysis and manuscript submission decisions which can be achieved by big data. The objective of this study...
Prominent organizations, currently, have analytical data-driven tool to support their decision making. A chart-like dashboard is the most appropriate tool to make integrated decisions encompassing multiple functions based on relevance information systems. Such tools, however, are commonly used in commercial firms rather than in the public organizations, especially in the education sections. It is...
The past few decades have witnessed incredible advances in human health care, owing to the invention of devices such as MRI scanners, which allow physicians to monitor personal health in more detail than was ever previously possible. Such advances have drastically improved diagnostic quality and patient health care. Central to this incredible progress was the uncanny ability of technologists and academics...
This paper presents a conceptual knowledge modelling framework that aims at facilitating the decision support functions in the emergency management domain. The EDXL-based group of standards is the most complete approach to address emergency information sharing and data exchange across various actors involved in the process of disaster management. Therefore, it is selected as the central basis of knowledge...
Delirium is prevalent, costly and under detected. Diagnosis or classification is largely done in text and often the narrative is behavioral, fuzzy and informal. To enable just-in-time decision support, we set out to identify the documentation of delirium in clinical notes. Two experts annotated documents from a Pittsburgh dataset. We experimented with 3 different topic modeling methods including LDA...
Clinicians need to find and use the most important, or salient, information to make optimal patient care decisions. The fragile health of patients who are admitted to a Burn Intensive Care Unit (BICU) requires clinicians and clinical teams to make time-pressured diagnostic and therapeutic decisions based on complex sets of information. Barriers to these decisions, and related behaviors, which we term...
Recently Online Social Communities and Networks (OSN) have become widely popular as a source of data or reference for those seeking advice. It is apparent that properly governed and designed OSNs can play an important role in supporting different types of decision making (DM), as they provide their participants various forms of support, ranging from the instrumental to the emotional and informational...
NG Health IT and UMBC are collaborating together to advance the fields of healthcare and bioinformatics, with an emphasis targeting Personalized Medicine. As progress in biomedical analysis and personalized medicine provide new sources and levels of information about genomics and other 'omics, problems of sorting through, integrating, and presenting this information to clinical practitioners to allow...
This paper describes an intelligent health and decision support agent (iHANDs) built with various artificial intelligence mechanisms. Upon receiving the user's symptom descriptions, iHands conducts both web search and local medical knowledge database search, utilizing the user's electronic health records (EHR) to direct the search process. An information-fusion algorithm is developed based on Dempster-Shafer...
This mini-track has five papers that are about developing systems for decision support by means of data, text, or web mining. These five papers focus on a wide range of application areas from healthcare to social media, reinforcing the fact that data, text, and web mining are effective and recently popularized tools to develop decision support systems in various domains.
The paradigm of shared decision making in patient-physician relationships is well documented. Moreover, it is an integral aspect of sound patient centric healthcare delivery. Implementing such an approach within established healthcare processes has yet to be successfully realized. This void is causing problems in healthcare delivery in particular in EU countries such as Germany because knowledge sources...
The concept and methodology of evidence-based medicine (EBM) and the strategy to promote efficacy of acupuncture in clinical practice are introduced in this paper. Then it focuses on using the data mining approaches to integrate the primary evidence from real practice based on conventional clinical data and secondary evidence by systematic literature review or Meta-analysis. The new analytic method...
Participatory democracy has been used in Brazil, and other countries in the world, as a form of social participation in the municipality's administration. In this sense, Participatory Budget (PB) is a government initiative to expand community participation in decision making on the public budget. However, the procedure normally used to survey the alternatives can lead to errors such as: (1) the alternative...
Healthcare environment is growing to include not only the traditional information systems, but also a business intelligence platform. For executive leaders, consultants, and analysts, there is no longer a need to spend hours in design and develop of typical reports or charts, the entire solution can be completed through using Business Intelligence “BI” software. This paper discusses current state-of-the-art...
Generation and propagation of automatic alerts from a Hospital Information Management System (HIMS) is a non-trivial problem. Inability to generate an alert in a genuine case is considered as a more serious shortcoming than generating false alerts. Due to this, medical instruments and HIMS systems tend to generate large number of false alerts. This reduces the credibility of the alert system and stake...
One of the growing healthcare needs in Hong Kong is eye disease treatment. We conducted a study at an eye outpatient department of a public hospital and developed a decision support tool based on computer simulation to serve several purposes: (1) identify dynamic bottlenecks, subject to changes in the layout, input parameters, patient scheduling and resources allocation plan, (2) estimate time-based...
This research was motivated by a desire to move decision making about health workforce planning from an anecdotal basis to a more evidence-based process. The principal outcome of this study is a framework for the classification and prioritization of health workforces within the New Zealand health sector. The framework was developed and validated using the Delphi Method, a decision-making methodology...
In the medical practice in countries like Canada, it is common that a general practitioner (GP) refers a patient to a specialist (SP) to complete the patients' medical treatment. This patients' transfer is termed medical referral process. Recently, many researchers have been focussing on reducing the wait time spent on the medical referrals which is mainly caused by the long time spent in finding...
Healthcare is one of the major growth areas in developed economies, but demand outstrips supply nevertheless. This paper discusses the research opportunities afforded in health informatics and computing, and in particular the activities of the Centre for Health Informatics and Computing (CHIC) at Brunel University. The "Soft Information Systems and Technologies Methodology" (SISTeM), simulation...
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