A review of telemedicine business models.

Telemedicine has become an increasingly popular option for long-distance/virtual medical care and education, but many telemedicine ventures fail to grow beyond the initial pilot stage. Studying the business models of successful telemedicine ventures can help develop business strategies for upcoming ventures. This article describes business models of eight telemedicine ventures from different regions of the world using Osterwalder's "Business Model Canvas." The ventures are chosen on the basis of their apparent success and their diverse value chains. The business models are compared to draw inferences and lessons regarding their business strategy and contextual factors that influenced it. Key differences between telemedicine business practices in developing and developed countries are also discussed. The purpose of this article is to inform and inspire the business strategy of the next generation of telemedicine ventures to be economically sustainable and to successfully address local healthcare challenges.

Use of telemedicine to diagnose tinea in Kenyan schoolchildren.

OBJECTIVE: Internet-based telemedicine has the potential to alleviate the problem of limited access to healthcare in developing countries. The Mashavu project aims to deploy kiosks that transmit health data and pictures from patients in underdeveloped countries who have no immediate access to healthcare to clinics for analysis by trained personnel. To test this principle, we investigated whether dermatophytic fungal infections (tinea) could be diagnosed by Kenyan clinicians solely from pictures of the lesions. SUBJECTS AND METHODS: Six physicians, five physician assistants, and five nurses from Nyeri Provincial Hospital took a test consisting of 15 pictures of potassium hydroxide (KOH) prep-confirmed tinea lesions and 15 pictures of KOH prep-negative lesions obtained from local children. RESULTS: The mean (standard deviation) sensitivity and specificity for the whole group were 73% (19%) and 83% (11%), respectively. The physicians had the highest sensitivity and specificity, although only sensitivity reached statistical significance when compared with physician assistants. CONCLUSIONS: These results suggest that telemedicine can be used to diagnose simple skin conditions in a low resource setting with reasonable sensitivity and specificity.

A design thinking approach to primary ovarian insufficiency.

Most clinicians are not prepared to provide integrated personal care to address all the clinical needs of women with primary ovarian insufficiency. Design thinking is an engineering methodology used to develop and evaluate novel concepts for systems operation. Here we articulate the need for a seamlessly integrated mobile health system to support genomic research as well as patient care. We also review the pathophysiology and management of primary ovarian insufficiency. Molecular understanding regarding the pathogenesis is essential to developing strategies for prevention, earlier diagnosis, and appropriate management of the disorder. The syndrome is a chronic disorder characterized by oligo/amenorrhea and hypergonadotropic hypogonadism before age 40 years. There may be significant morbidity due to: 1) depression and anxiety related to the loss of reproductive hormones and infertility; 2) associated autoimmune adrenal insufficiency or hypothyroidism; and 3) reduced bone mineral density and increased risk of cardiovascular disease related to estrogen deficiency. Approximately 5% to 10% of women with primary ovarian insufficiency conceive and have a child. Women who develop primary ovarian insufficiency related to a premutation in FMR1 are at risk of having a child with fragile X syndrome, the most common cause of inherited intellectual disability. In most cases of spontaneous primary ovarian insufficiency no environmental exposure or genetic mechanism can be identified. As a rare disease, the diagnosis of primary ovarian insufficiency presents special challenges. Connecting patients and community health providers in real time with investigators who have the requisite knowledge and expertise would help solve this dilemma.

Why do entrepreneurial mHealth ventures in the developing world fail to scale?

Telemedicine is an increasingly common approach to improve healthcare access in developing countries with fledgling healthcare systems. Despite the strong financial, logistical and clinical support from non-governmental organisations (NGOs), government ministries and private actors alike, the majority of telemedicine projects do not survive beyond the initial pilot phase and achieve their full potential. Based on a review of 35 entrepreneurial telemedicine and mHealth ventures, and 17 reports that analyse their operations and challenges, this article provides a narrative review of recurring failure modes, i.e. factors that lead to failure of such venture pilots. Real-world examples of successful and failed ventures are examined for key take-away messages and practical strategies for creating commercial viable telemedicine operations. A better understanding of these failure modes can inform the design of sustainable and scalable telemedicine systems that effectively address the growing healthcare disparities in developing countries.

Leveraging design thinking to build sustainable mobile health systems.

Mobile health, or mHealth, technology has the potential to improve health care access in the developing world. However, the majority of mHealth projects do not expand beyond the pilot stage. A core reason why is because they do not account for the individual needs and wants of those involved. A collaborative approach is needed to integrate the perspectives of all stakeholders into the design and operation of mHealth endeavours. Design thinking is a methodology used to develop and evaluate novel concepts for systems. With roots in participatory processes and self-determined pathways, design thinking provides a compelling framework to understand and apply the needs of diverse stakeholders to mHealth project development through a highly iterative process. The methodology presented in this article provides a structured approach to apply design thinking principles to assess the feasibility of novel mHealth endeavours during early conceptualisation.

Health knowledge and health practices in Makeni, Sierra Leone: a community-based household survey.

BACKGROUND: We characterize health knowledge and practices in urban and rural Makeni, Sierra Leone, drawing comparisons between areas served by community health workers (CHWs) with those that are not. We also inquire about causes of infant and maternal mortality and how they are understood in the local context. Our objective was to provide a baseline understanding of health knowledge and practices in Makeni during the implementation of a CHW program. METHODS: We conducted 100 household interviews in Makeni City and rural villages in the surrounding area. We compared data between urban and rural areas to identify differences in health knowledge and practices. RESULTS: Our sample size covered 855 individuals. Insecticide treated bednet ownership was lower in urban settings compared to rural populations (58% vs 94%; p<.001). With regards to maternal mortality, most respondents indicated 'no clinic' (lack of clinical care or skipped antenatal care visits) as the primary cause (n=35), followed by bleeding (n=17), 'lack of blood' (anemia) (n=11) and 'will of God' (n=11). CONCLUSIONS: This initial survey of health knowledge and practices in rural and urban Makeni, Sierra Leone, highlights some simple opportunities for community health promotion, health education programming and behavioral interventions. Findings will inform future iterations of a CHW training module for community health education.

Designing a ruggedisation lab to characterise materials for harsh environments.

Designing products for use in developing countries presents a unique set of challenges including harsh operating environments, costly repairs and maintenance, and users with varying degrees of education and device familiarity. For products to be robust, adaptable and durable, they need to be ruggedised for environmental factors such as high temperature and humidity as well as different operational conditions such as shock and chemical exposure. The product characterisation and ruggedisation processes require specific expertise and resources that are seldom available outside of large corporations and elite national research labs. There is no standardised process since product needs strongly depend on the context and user base, making it particularly onerous for underfunded start-ups and academic groups. Standardised protocols that identify essential lab testing regimens for specific contexts and user groups can complement field-testing and accelerate the product development process while reducing costs. This article synthesises current methods and strategies for product testing employed by large corporations as well as defence-related entities. A technological and organisational framework for a service-for-fee product characterisation and ruggedisation lab that reduces costs and shortens the timespan from product invention to commercial launch in harsh settings is presented.

Value propositions of mHealth projects.

While mHealth holds great potential for addressing global health disparities, a majority of the initiatives never proceed beyond the pilot stage. One fundamental concern is that mHealth projects are seldom designed from the customer's perspective to address their specific problems and/or create appreciable value. A customer-centric view, where direct tangible benefits of interventions are identified and communicated effectively, can drive customer engagement and advance projects toward self-sustaining business models. This article reviews the business models of 234 mHealth projects to identify nine distinct value propositions that solve specific problems for customers. Each of these value propositions is discussed with real-world examples, analyses of their design approaches and business strategies, and common enablers as well as hurdles to surviving past the pilot stage. Furthermore, a deeper analysis of 42 mHealth ventures that have achieved self-sustainability through project revenue provides a host of practical and poignant insights into the design of systems that can fulfil mHealth's promise to address healthcare challenges in the long term.

Using handgrip strength to screen for diabetes in developing countries.

Lack of access to healthcare in the developing world has created a need for locally-based primary and pre-primary healthcare systems. Many regions of the world have adopted Community Health Worker (CHW) programmes, but volunteers in these programmes lack the tools and resources to screen for disease. Because of its simplicity of operation, handgrip strength (HGS) measurements have the potential to be an affordable and effective screening tool for conditions that cause muscle weakness in this context. In the study described in this report, translators were used to collect data on age, gender, height, weight, blood pressure, HGS and key demographic data. HGS was significantly lower for diabetics than patients without diabetes. A simple binary logistic model was created that used HGS, age, blood pressure and BMI to predict a patient's probability of having diabetes. This study develops a predictive model for diabetes using HGS and other basic health measurements and shows that HGS-based screening is a viable method of early detection of diabetes.

Utilization and Monetization of Healthcare Data in Developing Countries.

In developing countries with fledgling healthcare systems, the efficient deployment of scarce resources is paramount. Comprehensive community health data and machine learning techniques can optimize the allocation of resources to areas, epidemics, or populations most in need of medical aid or services. However, reliable data collection in low-resource settings is challenging due to a wide range of contextual, business-related, communication, and technological factors. Community health workers (CHWs) are trusted community members who deliver basic health education and services to their friends and neighbors. While an increasing number of programs leverage CHWs for last mile data collection, a fundamental challenge to such programs is the lack of tangible incentives for the CHWs. This article describes potential applications of health data in developing countries and reviews the challenges to reliable data collection. Four practical CHW-centric business models that provide incentive and accountability structures to facilitate data collection are presented. Creating and strengthening the data collection infrastructure is a prerequisite for big data scientists, machine learning experts, and public health administrators to ultimately elevate and transform healthcare systems in resource-poor settings.

Designing breathalyser technology for the developing world: how a single breath can fight the double disease burden.

The meteoric rise in the prevalence of non-communicable diseases, alongside already high rates of infectious diseases, is exacerbating the 'double disease burden' in the developing world. There is a desperate need for affordable, accessible and ruggedized diagnostic tools that detect diseases early and direct patients to the correct channels. Breath analysis, the science of utilizing biomarkers in the breath for diagnostic measures, is growing rapidly, especially for use in clinical diagnostic settings. Breathalyser technologies are improving scientifically, but are not yet ready for productization and dissemination to address healthcare challenges. How does one ensure that these new biomedical devices will be suitable for use in developing communities? This article presents a comprehensive review of breath analysis technologies followed by a discussion on how such devices can be designed to conform with WHO's ASSURED criteria so as to reach and sustain in developing countries where they are needed the most.

Reliability of a telemedicine system designed for rural Kenya.

OBJECTIVE: Access to health care in rural areas of developing nations is hindered by both the lack of physicians and the preference of many physicians to practice in urban settings. As a result, rural patients often choose not to sacrifice wages or time to visit distant health care providers. A telemedicine system, Mashavu: Networked Health Solutions, designed to increase access to preprimary health care in rural areas, was field-tested in rural Kenya. This study aims to examine the reliability of the system compared to the traditional face-to-face method of health care delivery. METHOD: Reliability of the telemedicine system was tested using a modified intraobserver concordance study. Community health workers operated the system in various remote locations. Patient health information including chief complaint, medical history, and vital statistics were sent via Internet to a consulting nurse. After patients completed the telemedicine consultation, they also met in-person with the same nurse. Subsequently, the nurse's advice during the in-person session was compared with his feedback provided through the telemedicine consultation. RESULTS: When comparing the nurse's advice given through the telemedicine system with the advice given through more traditional face-to-face, in-person consultation, the nurse provided consistent medical feedback in 78.4% of the cases (n = 102). The nurse's advice regarding patient action (eg, clinical referrals or no further care necessary) was the same in 89.2% of the cases (n = 91). CONCLUSION: The study found that this telemedicine system was able to provide patients with approximately the same quality of care and advice as if the patient had physically travelled to a clinic to see a nurse. In rural areas of developing nations where there are high logistical and economical barriers to accessing health care, this telemedicine system successfully increased the ease and lowered the cost of connecting rural patients with nurses to provide preprimary care.

Design of affordable and ruggedized biomedical devices using virtual instrumentation.

Abstract This paper presents the designs of four low-cost and ruggedized biomedical devices, including a blood pressure monitor, thermometer, weighing scale and spirometer, designed for the East African context. The design constraints included a mass-production price point of $10, accuracy and precision comparable to commercial devices and ruggedness to function effectively in the harsh environment of East Africa. The blood pressure device, thermometer and weighing scale were field-tested in Kenya and each recorded data within 6% error of the measurements from commercial devices and withstood the adverse climate and rough handling. The spirometer functioned according to specifications, but a re-design is needed to improve operability and usability by patients. This article demonstrates the feasibility of designing and commercializing virtual instrumentation-based biomedical devices in resource-constrained environments through context-driven design. The next steps for the devices include designing them such that they can be more easily manufactured, use standardized materials, are easily calibrated in the field and have more user-friendly software programs that can be updated remotely.