MobileMed: a PDA-based mobile clinical information system

m-Health: Lessons Learned by m-Experiences

m-Health is an emerging area that is transforming how people take part in the control of their wellness condition. This vision is changing traditional health processes by discharging hospitals from the care of people. Important advantages of continuous monitoring can be reached but, in order to transform this vision into a reality, some factors need to be addressed. m-Health applications should be shared by patients and hospital staff to perform proper supervised health monitoring. Furthermore, the uses of smartphones for health purposes should be transformed to achieve the objectives of this vision. In this work, we analyze the m-Health features and lessons learned by the experiences of systems developed by MAmI Research Lab. We have focused on three main aspects: m-interaction, use of frameworks, and physical activity recognition. For the analysis of the previous aspects, we have developed some approaches to: (1) efficiently manage patient medical records for nursing and healthcare environments by introducing the NFC technology; (2) a framework to monitor vital signs, obesity and overweight levels, rehabilitation and frailty aspects by means of accelerometer-enabled smartphones and, finally; (3) a solution to analyze daily gait activity in the elderly, carrying a single inertial wearable close to the first thoracic vertebra.

The performance of mHealth in cancer supportive care: a research agenda

Background

Since the advent of smartphones, mHealth has risen to the attention of the health care system as something that could radically change the way health care has been viewed, managed, and delivered to date. This is particularly relevant for cancer, as one of the leading causes of death worldwide, and for cancer supportive care, since patients and caregivers have key roles in managing side effects. Given adequate knowledge, they are able to expect appropriate assessments and interventions. In this scenario, mHealth has great potential for linking patients, caregivers, and health care professionals; for enabling early detection and intervention; for lowering costs; and achieving better quality of life. Given its great potential, it is important to evaluate the performance of mHealth. This can be considered from several perspectives, of which organizational performance is particularly relevant, since mHealth may increase the productivity of health care providers and as a result even the productivity of health care systems.

Objective

This paper aims to review studies on the evaluation of the performance of mHealth, with particular focus on cancer care and cancer supportive care processes, concentrating on its contribution to organizational performance, as well as identifying some indications for a further research agenda.

Methods

We carried out a review of literature, aimed at identifying studies related to the performance of mHealth in general or focusing on cancer care and cancer supportive care.

Results

Our analysis revealed that studies are almost always based on a single dimension of performance. Any evaluations of the performance of mHealth are based on very different methods and measures, with a prevailing focus on issues linked to efficiency. This fails to consider the real contribution that mHealth can offer for improving the performance of health care providers, health care systems, and the quality of life in general.

Conclusions

Further research should start by stating and explaining what is meant by the evaluation of mHealth’s performance and then conduct more in-depth analysis in order to create shared frameworks to specifically identify the different dimensions of mHealth’s performance.

Business and continuity of operations: care of the critically ill and injured during pandemics and disasters: CHEST consensus statement

BACKGROUND

During disasters, supply chain vulnerabilities, such as power, transportation, and communication, may affect the delivery of medications and medical supplies and hamper the ability to deliver critical care services. Disasters also have the potential to disrupt information technology (IT) in health-care systems, resulting in interruptions in patient care, particularly critical care, and other health-care business functions. The suggestions in this article are important for all of those involved in a large-scale pandemic or disaster with multiple critically ill or injured patients, including front-line clinicians, hospital administrators, and public health or government officials.

METHODS

The Business and Continuity of Operations Panel followed the American College of Chest Physicians (CHEST) Guidelines Oversight Committee's methodology in developing key questions regarding medication and supply shortages and the impact disasters may have on healthcare IT. Task force members met in person to develop the 13 key questions believed to be most relevant for Business and Continuity of Operations. A systematic literature review was then performed for relevant articles and documents, reports, and gray literature reported since 2007. No studies of sufficient quality were identified upon which to make evidence-based recommendations. Therefore, the panel developed expert opinion-based suggestions using a modified Delphi process.

RESULTS

Eighteen suggestions addressing mitigation strategies for supply chain vulnerabilities including medications and IT were generated. Suggestions offered to hospitals and health system leadership regarding medication and supply shortages include: (1) purchase key medications and supplies from more than one supplier, (2) substituted medications or supplies should ideally be similar to those already used by an institution's providers, (3) inventories should be tracked electronically to monitor medication/supply levels, (4) consider higher inventories of medications and supplies known or projected to be in short supply, (5) institute alternate use protocols when a (potential) shortage is identified, and 6) support government and nongovernmental organizations in efforts to address supply chain vulnerability. Health-care IT can be damaged in a disaster, and hospitals and health system leadership should have plans for urgently reestablishing local area networks. Planning should include using portable technology, plans for providing power, maintenance of a patient database that can accompany each patient, and protection of patient privacy. Additionally, long-term planning should include prioritizing servers and memory disk drives and possibly increasing inventory of critical IT supplies in preparedness planning.

CONCLUSIONS

The provision of care to the critically ill or injured during a pandemic or disaster is dependent on key processes, such as the supply chain, and infrastructure, such as IT systems. Hospitals and health systems will help minimize the impact of medication and supply shortages with a focused strategy using the steps suggested. IT preparedness for maintaining local area networks, functioning clinical information systems, and adequate server and memory storage capacity will greatly enhance preparedness for hospital and health system clinical and business operations.

Mobile technologies and geographic information systems to improve health care systems: a literature review

Background

A growing body of research has employed mobile technologies and geographic information systems (GIS) for enhancing health care and health information systems, but there is yet a lack of studies of how these two types of systems are integrated together into the information infrastructure of an organization so as to provide a basis for data analysis and decision support. Integration of data and technical systems across the organization is necessary for efficient large-scale implementation.

Objective

The aim of this paper is to identify how mobile technologies and GIS applications have been used, independently as well as in combination, for improving health care.

Methods

The electronic databases PubMed, BioMed Central, Wiley Online Library, Scopus, Science Direct, and Web of Science were searched to retrieve English language articles published in international academic journals after 2005. Only articles addressing the use of mobile or GIS technologies and that met a prespecified keyword strategy were selected for review.

Results

A total of 271 articles were selected, among which 220 concerned mobile technologies and 51 GIS. Most articles concern developed countries (198/271, 73.1%), and in particular the United States (81/271, 29.9%), United Kingdom (31/271, 11.4%), and Canada (14/271, 5.2%). Applications of mobile technologies can be categorized by six themes: treatment and disease management, data collection and disease surveillance, health support systems, health promotion and disease prevention, communication between patients and health care providers or among providers, and medical education. GIS applications can be categorized by four themes: disease surveillance, health support systems, health promotion and disease prevention, and communication to or between health care providers. Mobile applications typically focus on using text messaging (short message service, SMS) for communication between patients and health care providers, most prominently reminders and advice to patients. These applications generally have modest benefits and may be appropriate for implementation. Integration of health data using GIS technology also exhibit modest benefits such as improved understanding of the interplay of psychological, social, environmental, area-level, and sociodemographic influences on physical activity. The studies evaluated showed promising results in helping patients treating different illnesses and managing their condition effectively. However, most studies use small sample sizes and short intervention periods, which means limited clinical or statistical significance.

Conclusions

A vast majority of the papers report positive results, including retention rate, benefits for patients, and economic gains for the health care provider. However, implementation issues are little discussed, which means the reasons for the scarcity of large-scale implementations, which might be expected given the overwhelmingly positive results, are yet unclear. There is also little combination between GIS and mobile technologies. In order for health care processes to be effective they must integrate different kinds of existing technologies and data. Further research and development is necessary to provide integration and better understand implementation issues.

Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study

PURPOSE

This study explored the impact of personal digital assistant (PDA) features, users' perceptions, and other factors that may have hindered PDA acceptability and usability as technology advances in e-health diabetes self-management.

STUDY DESIGN AND RESULTS

An ongoing study on PDA usage is set within the context of the advancements of Web 2.0 for type 2 diabetes mellitus (T2DM) self-management e-interventions. Advancements in technology as it relates to the future of T2DM mobile applications are discussed as possible deterrents of PDA acceptability and usability.

CONCLUSIONS

This case study illustrates the importance of addressing factors that may impede the adoption of electronic devices intended for sustained health behavior change. Recognizing the importance of individual perception within the context of rapid technological advancements is imperative for designing future health interventions. Incorporating electronic devices that individuals are more inclined to utilize, such as smartphones, as the platform for health interventions is a promising strategy to improve acceptability and usability, allowing researchers to more accurately assess the health benefits of self-management programs.

Monitoring heart disease and diabetes with mobile internet communications

A telemedicine system is described for monitoring vital signs and general health indicators of patients with cardiac and diabetic conditions. Telemetry from wireless sensors and readings from other instruments are combined into a comprehensive set of measured patient parameters. Using a combination of mobile device applications and web browser, the data can be stored, accessed, and displayed using mobile internet communications to the central server. As an extra layer of security in the data transmission, information embedded in the data is used in its verification. The paper highlights features that could be enhanced from previous systems by using alternative components or methods.

A digital wireless system for closed-loop inhibition of nociceptive signals

Neurostimulation of the spinal cord or brain has been used to inhibit nociceptive signals in pain management applications. Nevertheless, most of the current neurostimulation models are based on open-loop system designs. There is a lack of closed-loop systems for neurostimulation in research with small freely-moving animals and in future clinical applications. Based on our previously developed analog wireless system for closed-loop neurostimulation, a digital wireless system with real-time feedback between recorder and stimulator modules has been developed to achieve multi-channel communication. The wireless system includes a wearable recording module, a wearable stimulation module and a transceiver connected to a computer for real-time and off-line data processing, display and storage. To validate our system, wide dynamic range neurons in the spinal cord dorsal horn have been recorded from anesthetized rats in response to graded mechanical stimuli (brush, pressure and pinch) applied in the hind paw. The identified nociceptive signals were used to automatically trigger electrical stimulation at the periaqueductal gray in real time to inhibit their own activities by the closed-loop design. Our digital wireless closed-loop system has provided a simplified and efficient method for further study of pain processing in freely-moving animals and potential clinical application in patients.

Web2OHS: a Web2.0-based omnibearing homecare system

This study presents a Web2.0-based Omnibearing Homecare System (Web2OHS) that uses our proposed Application Layer Somecast (ALS) protocol for real-time interactions. Web2OHS provides omnibearing homecare and patientcare services for medical staff and caregivers, which are capable of assisting families, physicians, and nurses to obtain patients' physiological information using healthcare sensors, as well as monitor their behaviors using monitoring-based services. Web2OHS is a three-tier architecture that consists of Web2OHS clients, the Web2.0-based Patientcare Service Platform (WPSP), and the Medicine-based Active Database (MADB). Users can interact with Web2OHS using various appliances and retrieve the latest physiological and monitoring data using really simple syndication (RSS) and the proposed ALS services. The WPSP supports Web2.0-based applications, including blog-like monitoring services, monitoring-based RSS services, a real-time interaction services, and ALS services. The MADB provides a well-designed database, which stores physiological information, clinical information, digital imaging and communications in medicine image files, and monitoring frames. All of the delivered messages are based on extensible markup language and the Health Level 7 protocol. The proposed Web2OHS can support medical informatics and is compatible with related medical information systems.

Lifelink: 3G-based mobile telemedicine system

Current wired telemedicine systems encounter difficulties when implemented in archipelagic developing countries because of the high cost of fixed infrastructure. In this research, we devised Lifelink, a mobile real-time telemonitoring and diagnostic facility to command and control remote medical devices through mobile phones. The whole process is phone-based, effectively freeing offsite medical specialists from stationary monitoring consoles and endowing the system with the potential to increase the number participating consultants. The electrocardiogram (ECG) readings are analyzed using a detrended fluctuation technique and classified into pathological cases using an unassisted K-means clustering algorithm. We analyzed 30 batches of 2-hour ECG signals taken from cardiac patients (20 males, 10 females, mean age 46.7 years) with pre-diagnosed pathologies. The method successfully categorized the 30 subjects without user intervention into the following cases: normal (at 86.7% accuracy), congestive heart failure (86.7%), and atrial fibrillation (80.0%). The synergy of mobile monitoring and fluctuation analysis presents a powerful platform to reach remote, underserved communities with poor or nonexistent wired communication structures. It is likely to be essential in the development of new mobile diagnostic and prognostic measures.

A wireless medical information query system based on Unstructured Supplementary Service Data (USSD)

The objective of this study was to develop a medical information query system based on Unstructured Supplementary Service Data. Several wireless data transmission modes of Global Systems for Mobile networks are discussed and each mode is analyzed in detail. The framework and configuration of the system is described, and functions of main system modules are illustrated. The medical information query system was implemented and tested to demonstrate practicality and reliability. The practical test shows that the system is convenient, efficient, quick, and secure.

PDA-based system with teleradiology and image analysis capabilities

The aim of the present study was to design and implement a Personal Digital Assistant (PDA)-based teleradiology system incorporating image processing and analysis facilities for use in emergency situations within a hospital environment. The system comprised a DICOM-server, connected to an MRI unit, 3 wireless access points, and 3 PDAs (HP iPaq rx3715). PDA application software was developed in MS Embedded Visual C++ 4.0. Each PDA can receive, load, process and analyze hi-quality static MR images. Image processing includes gray-scale manipulation and spatial filtering techniques while image analysis incorporates a probabilistic neural network (PNN) classifier, which was optimally designed employing a suitable combination of textural features and was evaluated using the leave-one-out method. The PNN is capable of discriminating between three major types of human brain tumors with accuracy of 86.66%. The developed application may be useful as a mobile medical teleconsultation tool.