IntroductionIn the US, more than 1.6 million new cases of cancer are estimated to be diagnosed each year [1], however, the burden of cancer among the US population is not shared equally.Medically underserved populations (i.e. groups with economic barriers, or cultural and/or linguistic barriers to primary medical care services [2]) such as racial and ethnic minorities and individuals of lower socioeconomic status [3], have a higher cancer burden when compared to their counterparts which can be partially attributed to differences in the access to, and quality of, care they receive [4][5][6]. A wide range of technologies are available to patients, including personal health records [PHRs] [7], Internet-based [eHealth] technologies [8, 9], mobile[mHealth] applications [10], and telemedicine [11]. These technologies have the potential to improve access to care by patients and empower individuals to participate more actively in their care [12,13]. For example, there is evidence that patient-centered technologies (also commonly referred to as consumer health information technologies) provide patient-centered care by increasing patients' quality of health care [14], improving communication with providers [11,[15][16][17], providing tailored education and lifestyle messages [18] [14], and promoting selfmanagement of health care [19]. While these health information technologies have also been proposed as a means to reduce health care disparities [13,[20][21][22], little is known about their use among underserved populations.To date, reviews on the use of patient-centered technologies have largely focused upon the general population. For example, a recent review by Kim and Nahm [23] found several benefits to the use of patient-accessible personal health records, including consumer empowerment, improved patient-provider communication, increased access to data during times 2 of emergency, improved chronic disease management, and increased likelihood of behavior change. Several concerns were also raised regarding the broader dissemination of personal health records, including data privacy and security; data accuracy, health literacy, and the digital divide. With regards to mobile technologies, Krishna and colleagues [24] found significant improvements in medication adherence, smoking quit rates, self-efficacy, and other health outcomes (e.g., asthma symptoms, blood sugar control, stress levels). Limited attention has also been given to the potential of patient-accessible personal health records (PHRs) among specific disease classes [25, 26], however, Price and colleagues [27] found PHR interventions targeting asthma, diabetes, fertility, glaucoma, HIV, hyperlipidemia, and hypertension (but not cancer) to have beneficial effects such as better quality of care, improved access to care, and increased productivity. Racial/ethnic minority populations have been targeted to interventions to facilitate weight loss; overall, Internet-based technologies (eHealth) were only able to effect short term weight loss, while mobile technol...