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In this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of clinical concepts from free text clinical letters. Editorial guidance developed by two independent clinicians was used to annotate sixty anonymized clinic letters to create the gold standard. Concepts were categorized by semantic type, and labels were applied to indicate contextual attributes such as negation. The natural language processing (NLP) engine was Linguamatics I2E version 5.3.1, equipped with an algorithm for contextualizing words and phrases and an ontology of terms from Intelligent Medical Objects to which those tokens were mapped. Performance of the engine was assessed on a training set of the documents using precision, recall, and the F1 score, with subset analysis for semantic type, accurate negation, exact versus partial conceptual matching, and discontinuous text. The engine underwent tuning, and the final performance was determined for a test set. The test set showed an F1 score of 0.81 and 0.84 using strict and relaxed criteria respectively when appropriate negation was not required and 0.75 and 0.77 when it was. F1 scores were higher when concepts were derived from continuous text only. This pilot study showed that a commercially available NLP engine delivered good overall results for identifying a wide spectrum of structured clinical concepts. Such a system holds promise for extracting concepts from free text to populate problem lists or for data mining projects.

Background The Millennium Villages Project facilitated technology-based health interventions in rural under-resourced areas of sub-Saharan Africa. Our study examined whether data entry using SMS compared with paper forms by community health workers (CHWs) led to higher proportion of timely follow-up visits for malnutrition screening in under-5 children in Ghana, Rwanda, Senegal, and Uganda. Methods Children under 5 years were screened for malnutrition every 90 days by CHWs using mid-upper arm circumference (MUAC) readings. CHWs used either SMS texts or paper forms to enter MUAC data. Reminder texts were sent at 15 days before follow-up was needed. Chi-square tests assessed proportion of timely follow-up visits within 90 days between SMS and paper groups. Logistic regression analysis was conducted in a step-wise multivariate model. Post-hoc power calculations were conducted to verify strength of associations. Results SMS data entry was associated with a higher proportion of timely malnutrition follow-up visits compared with paper forms across all sites. The association was strongest with consistent SMS use over consecutive visits. SMS use at the first of 2 consecutive visits was most effective, highlighting the importance of SMS reminder alerts. Conclusions SMS technology with reminders increased timely CHW malnutrition screening visits for under-5 children in Ghana, Rwanda, Senegal, and Uganda, highlighting the importance of such technology for improving health worker behavior in low-resource settings.

Introduction Midwives in rural Ghana work at the frontline of the health care system, where they have access to essential data about the patient population. However, current methods of data capture, primarily pen and paper, make the data neither accessible nor usable for monitoring patient care or program evaluation. Electronic health (eHealth) systems present a potential mechanism for enhancing the roles of midwives by providing tools for collecting, exchanging, and viewing patient data as well as offering midwives the possibility for receiving information and decision support. Introducing such technology in low-resource settings has been challenging because of low levels of user acceptance, software design that does not match the end-user environment, and/or unforeseen challenges such as irregular power availability. These challenges are often attributable to a lack of understanding by the software developers of the end users’ needs and work environment. Methods A mobile health (mHealth) application known as mClinic was designed to support midwife access to the Millennium Village-Global Network, an eHealth delivery platform that captures data for managing patient care as well as program evaluation and monitoring, decision making, and management. We conducted a descriptive usability study composed of 3 phases to evaluate an mClinic prototype: 1) hybrid lab-live software evaluation of mClinic to identify usability issues; 2) completion of a usability questionnaire; and 3) interviews that included low-fidelity prototyping of new functionality proposed by midwives. Results The heuristic evaluation identified usability problems related to 4 of 8 usability categories. Analysis of usability questionnaire data indicated that the midwives perceived mClinic as useful but were more neutral about the ease of use. Analysis of midwives' reactions to low-fidelity prototypes during the interview process supported the applicability of mClinic to midwives' work and identified the need for additional functionality. Discussion User acceptance is essential for the success of any mHealth implementation. Usability testing identified mClinic development flaws and needed software enhancements.

Summary Objectives: Theoverallobjectiveofthisprojectwastoinvestigateways to strengthen the OpenMRS community by (i) developing capacity and implementing a network focusing specifically on the needs of OpenMRS implementers,(ii) strengthening community-driven aspects of OpenMRS and providing a dedicated forum for implementation-specific issues, and; (iii) providing regional support for OpenMRS implementations as well as mentorship and training. Methods: Themethodsusedincluded(i)face-to-facenetworkingusing meetings and workshops; (ii) online collaboration tools, peer support and mentorship programmes; (iii) capacity and community development programmes, and; (iv) community outreach programmes. Results: Thecommunity-driven approach,combined withafewsimple interventions,has been a key factor in the growth and success of the OpenMRS ImplementersNetwork.Ithascontributed toimplementations in at least twenty-three different countries using basic online tools; and provided mentorship and peer support through an annual meeting, workshops and an internshipprogram. The OpenMRS Implementers Network has formed collaborations with several other open source networks and is evolving regional OpenMRS Centres of Excellence to provide localized support for OpenMRS development and implementation. These initiativesare increasingthe range of functionalityand sustainability of open source software in the health domain, resulting in improvedadoption and enterprise-readiness. Conclusions: Socialorganizationandcapacitydevelopmentactivities are important in growing a successful community-driven open source softwaremodel.

Collecting, managing, and communicating information is a critical part of delivering high-quality, efficient health care. Low-income countries often lack the information technology that is taking root in developed countries to manage health data and work toward evidence-based practice and culture. Partnerships between academic and government institutions in high- and low-income countries can help establish health informatics programs. These programs, in turn, can capture and manage data that are useful to all parties. Several partnerships among academic institutions and public and private organizations, in areas such as sub-Saharan Africa, Haiti, and Peru, are leading the way.

Interoperability is achieved when two computing systems exchange information and the receiving system can meaningfully use the information exchanged. A key to achieving interoperability is data standardization, which is the translation of data into its canonical form in which there is a unique representation for each concept. By normalizing data into reference terminologies, data from various sources in the heath care ecosystem can be queried, aggregated, analyzed, and reused for a variety of purposes. However, conversion from locally used terminologies into normalized, reference terminologies can be a complex and resource-intensive process. Data standardization therefore requires substantial advance planning, focused implementation, and robust support services, as well as ongoing evaluation and improvement. Terminology Services is a collection of hardware and software components that can be used to facilitate data standardization across enterprise health information exchange. This chapter describes the process of and challenges inherent in data standardization, and it provides guidance for the design and implementation of Terminology Services.

Drug allergy cross-reactivity checking is an important component of electronic health record systems. Currently, a single, open-source medication dictionary that can provide this function does not exist. In this study, we assessed the feasibility of using RxNorm and NDF-RT (National Drug File--Reference Terminology) for allergy management decision support. We evaluated the performance of using the Pharmacological Class, Mechanism of Action and Chemical Structure NDF-RT classifications in discriminating between safe and cross-reactive alternatives to a sample of common drug allergens. The positive predictive values for the three approaches were 96.3%, 99.3% and 96.2% respectively. The negative predictive values were 94.7%, 56.8% and 92.6%. Our findings suggest that in the absence of an established medication allergy classification system, using the Pharmacologic Class and Chemical Structure classifications in NDF-RT may still be effective for discriminating between safe and cross-reactive alternatives to potential allergens.

The maintenance of adequate quantities of antimalarial medicines and rapid diagnostic tests (RDTs) at health facilities in rural areas of sub-Saharan Africa is a challenging task because of poor supply chain management. Antimalarial stock-outs in the communities could lead patients (that need to travel long distances to get medications) to remain untreated, develop severe malaria and die. A prototype to improve the management of health commodities in rural Ghana through the visualization of current stock levels and the forecasting of commodities is proposed.

Ebola treatment presents unique challenges for medical records because strict infection control requirements rule out most conventional record-keeping systems. We used the OpenMRS platform to rapidly develop an EMR system for the recently opened Kerry Town, Sierra Leone Ebola Treatment Centre. This system addresses the need for recording patient data and communicating it between the infectious and non-infectious zones, and is specifically designed for maximum usability by staff wearing cumbersome protective equipment. This platform is interoperable with other key eHealth systems in the country, and is extensible to other sites and diseases.

We propose a conceptual data model for relational databases targeting the prescribing and dispensing phases of the medication management system. The model was developed using recommendations from existing standards and guidelines, with necessary modifications made to suit adoption in resource-limited settings. We present the model as an entity-relationship diagram with 10 entities, 12 relationships and 48 attributes. It is our hope that this work will help mitigate barriers in the implementation of electronic prescribing and dispensing standards in the developing world.

In the 1990s, NewYork-Presbyterian Hospital began developing a comprehensive, standards-based immunization information system. The system, known as EzVac, has been operational since 1998 and now includes information on 2 million immunizations administered to more than 260,000 individuals. The system exchanges data with multiple electronic health records, a public health immunization registry, and a standalone personal health record. EzVac modules have recently been incorporated into the OpenMRS application and are being used to enhance immunization efforts in developing nations. We report on our experience with developing and using the EzVac system for 1) clinical care, both in local and global settings, 2) public health reporting, 3) consumer engagement, and 4) clinical and informatics research. We emphasize the advantages of using health IT standards to facilitate immunization information exchange in each of these domains.

Bartonella quintana (formerly Rochalimaea quintana) is a recently recognized cause of apparent "culture-negative" endocarditis. We describe a 39-year-old, homeless man who developed aortic valve endocarditis caused by B. quintana. He had a history of alcoholism and was seronegative for the human immunodeficiency virus. We established that B. quintana was the cause of the endocarditis on the basis of the isolation of B. quintana from blood cultures, the compatibility of histochemical stains of cardiac valve tissue, the reactivity of the polymerase chain reaction specific for B. quintana on cardiac valve tissue, and the failure to isolate an alternative causative organism despite extensive efforts. This is the second report of endocarditis caused by B. quintana and the fourth report of endocarditis caused by a Bartonella species. On the basis of the findings of this report and those of other recent reports, further study is warranted to determine the overall role of Bartonella species in apparent culture-negative endocarditis.

Background Bartonella (Rochalimaea) quintana is a fastidious gram-negative bacterium known to cause trench fever, cutaneous bacillary angiomatosis, and endocarditis. Between January and June 1993 in Seattle, we isolated B. quintana from 34 blood cultures obtained from 10 patients not known to be infected with the human immunodeficiency virus (HIV). Methods After identifying the isolates as B. quintana by direct immunofluorescence and DNA-hybridization studies, we determined strain hybridization with studies of restriction-fragment–length polymorphisms (RFLPs) of the intergenic spacer (noncoding) region of ribosomal DNA amplified by the polymerase chain reaction (PCR). To characterize the epidemiologic and clinical features of bartonella infections in these patients, we performed a retrospective case–control study using as controls 20 patients from whom blood was obtained for culture at approximately the same time as from the index patients. Results B. quintana isolates from the 10 patients were indistingu...

The field of mHealth has made significant advances in a short period of time, demanding a more thorough and scientific approach to understanding and evaluating its progress. A recent review of mHealth literature identified two primary research needs in order for mHealth to strengthen health systems and promote healthy behaviors, namely health outcomes and cost-benefits (Mechael et al., 2010 ). In direct response to the gaps identified in mHealth research, the aim of this paper is to present the study design and highlight key observations and next steps from an evaluation of the mHealth activities within the electronic health (eHealth) architecture implemented by the Millennium Villages Project (MVP) by leveraging data generated through mobile technology itself alongside complementary qualitative research and costing assessments. The study, funded by the International Development and Research Centre (IDRC) as part of the Open Architecture Standards and Information Systems research project (OASIS II) (Sinha, 2009 ), is being implemented on data generated by 14 MVP sites in 10 Sub-Saharan African countries including more in-depth research in Ghana, Rwanda, Tanzania, and Uganda. Specific components of the study include rigorous quantitative case-control analyses and other epidemiological approaches (such as survival analysis) supplemented by in-depth qualitative interviews spread out over 18 months, as well as a costing study to assess the impact of mHealth on health outcomes, service delivery, and efficiency.

Purpose – The purpose of this chapter is to illustrate the importance of using open source technologies and common standards for interoperability when implementing eHealth systems, and to illustrate this through case studies, where possible. Design/methodology/approach – The sources used to inform this chapter draw from the implementation and evaluation of the eHealth Program in the context of the Millennium Villages Project (MVP). Findings – As the eHealth Team was tasked to deploy an eHealth architecture, the Millennium Villages Global-Network (MVG-Net), across all 14 of the MVP sites in sub-Saharan Africa, the team not only recognized the need for standards and uniformity but also realized that context would be an important factor. Therefore, the team decided to utilize open source solutions. Practical implications – The MVP implementation of MVG-Net provides a model for those looking to implement informatics solutions across disciplines and countries. Furthermore, there are valuable lessons learned that the eHealth community can benefit from. Originality/value – By sharing lessons learned and developing an accessible, open source eHealth platform, we believe that we can more efficiently and rapidly achieve the health-related and collaborative Millennium Development Goals.

This paper describes the process of implementing a low-cost 'real-time' vital registration and verbal autopsy system integrated within an electronic medical record within the Millennium Village cluster in rural Ghana. Using MGV-Net, an open source health information architecture built around the OpenMRS platform, a total of 2378 births were registered between January 2007 and June 2009. The percentage of births registered in the health facility under supervision of a skilled attendant increased substantially over the course of the project from median of 35% in 2007 to 64% in 2008 and 85% midway through 2009. Building additional clinics to reduce distance to facility and using the CHEWs to refer women for delivery in the clinics are possible explanations for the success in the vital registration. The integration of vital registration and verbal autopsies with the MGV-Net information system makes it possible for rapid assessment of effectiveness and provides important feedback to local providers and the Millennium Villages Project.

In the United States and Europe, electronic health records (EHRs) allow information technology and decision-support to facilitate the activities of clinicians and are considered an important component of health care improvement. However, actual adoption of EHRs by physicians has been slow and the use of decision support has been minimal. Part of the difficulty lies in the challenges that users face in capturing structured clinical information. Reference and administrative terminologies have been in use for many years and provide a critical infrastructure to support reimbursement, decision-support and data analysis. The problem is that physicians do not think and work using reference terminologies. Interface terminologies bridge the gap between information that is in the physician's mind and information that can be interpreted by computer applications. The maps from interface terminologies to appropriate reference terminologies enable advanced functionality in clinical information systems. The conflict between the need for timely adoption of health information technology and the need for standardization is also relevant to the problems faced by health information technology in Africa. The problem of clinicians having to communicate and/or record information in a format that is acceptable to someone else, somewhere else, leaves the true benefits of these systems beyond the reach of most in Africa. There is a growing effort in the United States to produce clinically-relevant interface terminologies mapped to standards. These interface terminologies can be expanded to incorporate the languages and clinical requirements of clinicians in Africa. The adoption of interface terminologies will help bring the value of standard terminology and the resulting benefits of decision-support, data analysis and information retrieval to parts of the world where they are needed most.