A decision support system for telemedicine through the mobile telecommunications platform

Design and Development of a Methodology Based on Expert Systems, Applied to the Treatment of Pressure Ulcers

The medical treatment of chronic wounds, pressure ulcers in particular, burdens healthcare systems nowadays with high expenses that result mainly from their monitoring and assessment stages. Decision support systems applied within the 'remote medicine' framework may be of help, not only to the process of monitoring the evolution of chronic wounds under treatment, but also to facilitate the prevention and early detection of potential risk conditions in the affected patients. In this paper, the design and definition of a new decision-support methodology to be applied to the monitoring and assessment stages of the medical treatment process for pressure ulcers is proposed. Built upon the use and development of expert systems, the methodology makes it possible to generate alerts derived from the evolution of a patient's chronic wound, by means of the interpretation and combination of data coming from both an image of the wound, and the considerations of a healthcare professional with expertise in the subject matter. Some positive results are already shown regarding the determination of the ulcer's status in the tests that have been carried out so far. Therefore, it is considered that the proposed methodology might lead to substantial improvements regarding both the treatment's efficiency and cost savings.

A Cloud-Based Smartphone Solution for Transmitting Bio-Signals From an Emergency Response Vehicle

Most developing countries are currently unable to provide adequate, let alone advanced healthcare support to rural areas. Telemedicine combines the capability of information technology and dedicated people working towards the common goal of providing good quality healthcare in remote areas. In this article, the authors propose a system that can be used to transmit patient vitals like pulse rate, oxygen saturation, and perfusion index readings to a doctor in a remote area, while a patient is in transit. This system uses a smartphone application, a pulse oximeter, and the real-time data transferring capabilities of Firebase (a cloud database). The application has been tested under various network conditions which includes connection types such as 2G (2nd Generation), 3G (3rd Generation), 4G (4th Generation), and Fiber To The Home (FTTH). The work also discusses the possible reasons for the higher performance found in 4G networks over 3G and 2G cellular connections.

mHealth in the Prevention and Control of Non-Communicable Diseases in India: Current Possibilities and the Way Forward

Mobile health technology has been used effectively for healthcare delivery in many developing countries. India is currently facing an epidemic of Non-Communicable Diseases (NCDs). With greater availability of cheaper phones in the market, the user base of mobile phones in India is increasing rapidly. The present review was thus conducted to explore the current possibilities and future scope of mobile health for NCD prevention and control in India. Literature search was conducted using MEDLINE, EMBASE, and Cochrane Library to collect information regarding mobile health interventions. Two authors extracted the data and included studies if at least the abstract was available. Information from key reports and government websites were also included. We examined information from domains such as need for mobile health in NCDs in India, and the advantages, scope and challenges of mobile health for healthcare delivery in India. Existing mobile health systems in India, current evidence of mobile health use in NCDs, and the recent mobile health related initiatives taken by Government of India were also assessed. Though we found some examples of current mobile phone usage in many health related programmes in India, data from mobile health research is scarce, particularly for NCDs. The current evidence base needs to be strengthened. There is also a need for identifying various opportunities in the recent initiatives taken by Government of India. It can be concluded that though mobile health has many advantages, there are numerous challenges which need to be addressed before scaling it up at the national level.

Use of mHealth systems and tools for non-communicable diseases in low- and middle-income countries: a systematic review

With the rapid adoption of mobile devices, mobile health (mHealth) offers the potential to transform health care delivery, especially in the world's poorest regions. We systematically reviewed the literature to determine the impact of mHealth interventions on health care quality for non-communicable diseases in low- and middle-income countries and to identify knowledge gaps in this rapidly evolving field. Overall, we found few high-quality studies. Most studies narrowly focused on text messaging systems for patient behavior change, and few studies examined the health systems strengthening aspects of mHealth. There were limited literature reporting clinical effectiveness, costs, and patient acceptability, and none reporting equity and safety issues. Despite the bold promise of mHealth to improve health care, much remains unknown about whether and how this will be fulfilled. Encouragingly, we identified some registered clinical trial protocols of large-scale, multidimensional mHealth interventions, suggesting that the current limited evidence base will expand in coming years.

Multi-sources data fusion framework for remote triage prioritization in telehealth

The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper proposes a multi-sources framework to support advanced healthcare applications. The proposed framework named Multi Sources Healthcare Architecture (MSHA) considers multi-sources: sensors (ECG, SpO2 and Blood Pressure) and text-based inputs from wireless and pervasive devices of Wireless Body Area Network. The proposed framework is used to improve the healthcare scalability efficiency by enhancing the remote triaging and remote prioritization processes for the patients. The proposed framework is also used to provide intelligent services over telemonitoring healthcare services systems by using data fusion method and prioritization technique. As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. The achievement of a high level of accuracy in the prioritization and triaging patients remotely, is set to be our main goal. Meanwhile, the role of multi sources data fusion in the telemonitoring healthcare services systems has been demonstrated. In addition to that, we discuss how the proposed framework can be applied in a healthcare telemonitoring scenario. Simulation results, for different symptoms relate to different emergency levels of heart chronic diseases, demonstrate the superiority of our algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely.

The integrated information architecture: a pilot study approach to leveraging logistics management with regard to influenza preparedness

Pandemic influenza is considered catastrophic to global health, with severe economic and social effects. Consequently, a strategy for the rapid deployment of essential medical supplies used for the prevention of influenza transmission and to alleviate public panic caused by the expected shortage of such supplies needs to be developed. Therefore, we employ integrated information concepts to develop a simulated influenza medical material supply system to facilitate a rapid response to such a crisis. Various scenarios are analyzed to estimate the appropriate inventory policy needed under different pandemic influenza outbreaks, and to establish a mechanism to evaluate the necessary stockpiles of medications and other requirements in the different phases of the pandemic. This study constructed a web-based decision support system framework prototype that displayed transparent data related to medical stockpiles in each district and integrated expert opinion about the best distribution of these supplies in the influenza pandemic scenarios. A data collection system was also designed to gather information through a daily VPN transmitted into one central repository for reporting and distribution purposes. This study provides timely and transparent medical supplies distribution information that can help decision makers to make the appropriate decisions under different pandemic influenza outbreaks, and also attempts to establish a mechanism of evaluating the stockpiles and requirements in the different phases of the pandemic.

Electronic hand-drafting and picture management system

The Department of Health of Executive Yuan in Taiwan (R.O.C.) is implementing a five-stage project entitled Electronic Medical Record (EMR) converting all health records from written to electronic form. Traditionally, physicians record patients' symptoms, related examinations, and suggested treatments on paper medical records. Currently when implementing the EMR, all text files and image files in the Hospital Information System (HIS) and Picture Archiving and Communication Systems (PACS) are kept separate. The current medical system environment is unable to combine text files, hand-drafted files, and photographs in the same system, so it is difficult to support physicians with the recording of medical data. Furthermore, in surgical and other related departments, physicians need immediate access to medical records in order to understand the details of a patient's condition. In order to address these problems, the Department of Health has implemented an EMR project, with the primary goal of building an electronic hand-drafting and picture management system (HDP system) that can be used by medical personnel to record medical information in a convenient way. This system can simultaneously edit text files, hand-drafted files, and image files and then integrate these data into Portable Document Format (PDF) files. In addition, the output is designed to fit a variety of formats in order to meet various laws and regulations. By combining the HDP system with HIS and PACS, the applicability can be enhanced to fit various scenarios and can assist the medical industry in moving into the final phase of EMR.

Research on application information system integration platform in medicine manufacturing enterprise

Computer and information technology popularizes in the medicine manufacturing enterprise for its potentials in working efficiency and service quality. In allusion to the explosive data and information of application system in current medicine manufacturing enterprise, we desire to propose a novel application information system integration platform in medicine manufacturing enterprise, which based on a combination of RFID technology and SOA, to implement information sharing and alternation. This method exploits the application integration platform across service interface layer to invoke the RFID middleware. The loose coupling in integration solution is realized by Web services. The key techniques in RFID event components and expanded role-based security access mechanism are studied in detail. Finally, a case study is implemented and tested to evidence our understanding on application system integration platform in medicine manufacturing enterprise.

The adoption of mobile health management services: an empirical study

As their populations age, many countries are facing the increasing economic pressure of providing healthcare to their people. In Taiwan, this problem is exacerbated by an increasing rate of obesity and obesity-related conditions. Encouraging the adoption of personal health management services is one way to maintain current levels of personal health and to efficiently manage the distribution of healthcare resources. This study introduces Mobile Health Management Services (MHMS) and employs the Technology Acceptance Model (TAM) to explore the intention of students in Executive Master of Business Management programs to adopt mobile health management technology. Partial least squares (PLS) was used to analyze the collected data, and the results revealed that "perceived usefulness" and "attitude" significantly affected the behavioral intention of adopting MHMS. Both "perceived ease of use" and "perceived usefulness," significantly affected "attitude," and "perceived ease of use" significantly affected "perceived usefulness" as well. The results also show that the determinants of intention toward MHMS differed with age; young adults had higher intention to adopt MHMS to manage their personal health. Therefore, relevant governmental agencies may profitably promote the management of personal health among this population. Successful promotion of personal health management will contribute to increases in both the level of general health and the efficient management of healthcare resources.

Medical diagnosis using adaptive perceptive particle swarm optimization and its hardware realization using field programmable gate array

The paper proposes to develop a field programmable gate array (FPGA) based low cost, low power and high speed novel diagnostic system that can detect in absence of the physician the approaching critical condition of a patient at an early stage and is thus suitable for diagnosis of patients in the rural areas of developing countries where availability of physicians and availability of power is really scarce. The diagnostic system could be installed in health care centres of rural areas where patients can register themselves for periodic diagnoses and thereby detect potential health hazards at an early stage. Multiple pathophysiological parameters with different weights are involved in diagnosing a particular disease. A novel variation of particle swarm optimization called as adaptive perceptive particle swarm optimization has been proposed to determine the optimal weights of these pathophysiological parameters for a more accurate diagnosis. The FPGA based smart system has been applied for early detection of renal criticality of patients. For renal diagnosis, body mass index, glucose, urea, creatinine, systolic and diastolic blood pressures have been considered as pathophysiological parameters. The detection of approaching critical condition of a patient by the instrument has also been validated with the standard Cockford Gault Equation to verify whether the patient is really approaching a critical condition or not. Using Bayesian analysis on the population of 80 patients under study an accuracy of up to 97.5% in renal diagnosis has been obtained.