Caroline Franke just graduated in June of 2014 from Princeton University with a degree in Psychology. She currently lives in Annapolis, MD and works at Johns Hopkins Hospital as a Research Coordinator in Psychiatry. Caroline works under Dr. Adam Kaplin and Dr. Kristen Rahn. She was a varsity lacrosse player at Princeton and is currently a mentor at the Eastport Girls Club in Annapolis, MD.

Psychiatrists usually monitor their patients’ moods retrospectively at office visits and/or through patients’ handwritten diaries, and yet handwritten diaries have compliance rates of 11%. Mood 24/7 was developed to improve the accuracy and compliancy of tracking a patient’s mood by using SMS texts and web-based technology. Patients using Mood 24/7 receive a daily text message to their cellular phone to which the patient can text back their mood on a 1-10 scale. Adherence studies have shown compliancy to increase almost 8-fold with Mood 24/7 compared to handwritten diaries. The present study aimed to measure the accuracy and validity of Mood 24/7 in tracking mood using an outpatient cohort at the Johns Hopkins Hospital who were undergoing standard of care treatment for mood disorders. Retrospective analyses were used to measure the relationship between a patient’s Mood 24/7 data, the blinded psychiatrist’s clinical assessment of that patient’s mood, and the patient’s standardized depression assessment score on the revised Hopkins Symptom Checklist (SCL-90R). Mood 24/7 patient daily ratings correlated significantly with their psychiatrist’s assessments and their SCL-90 scores (n=15; r=0.8215, P=0.003 and r=-0.5733, P=0.0203, respectively). A cohort of the patients was tracked over multiple days and outpatient visits, for which a significant positive correlation was found between the Mood 24/7 data and the clinician assessments (n=9, r= 0.83, p<0.0001). The findings of this study support Mood 24/7’s reliability and validity for tracking mood in an outpatient psychiatric setting.

Eraldo Martins Guerra Filho is studying masters in Software Engineering by the Center for Studies of Systems Advanced of Recife (C. E. S.A. R). He completed his post-graduate degree in Business Management in Information Technology from the Federal University of Pernambuco (UFPE) and post-graduated in distance education and coordination by SENAC. He has 31 awards in various areas such as technology, scientific and entrepreneurial and has 7 paper’s scientific publications, 2 publications in specialized magazine and 1 chapter of a book published.

The Can Game is an application developed by Life Up, which by act of playing promotes new educational experiences and treatment of autism. Being an innovative tool and facilitator for the doctors who treat the autism, because in addition to facilitating the current process, the motivation of the child to perform the activity. The same can be used in homes, schools and public areas by the patient. Without any social embarrassment, being monitored remotely by the doctor who comes to reduce time and cost in relation to treatment, agitation, aggressiveness and irritability. Thus the various activities of the Can Game can be implemented along the family and friends with all affection that the child needs, promoting their etiological, cognitive development social and social autonomy. The study of treatments for children with autism and interventions through educational games has been the object of this research, with the objective of developing a multidisciplinary software for the treatment of autism through interventions in the form of entertainment, games and activities, based on the axis of the treatment of PEC's, ABA and TEACCH. For the purpose of technologies that made the use of Microsoft Kinect, Mobile (Window phone eight), Near Field Communication (NFC) and Cloud Computer. Thus by act of play promote new experiences of learnings for the treatment of autism. Providing a better inclusion and social autonomy in a shorter time for less cost!

Rebecca Fein is a health care professional with over 10 years of experience in data analytics and research, strategic planning, regulatory compliance, public health, population health management, health information management (HIM) and laboratory information management. She has established programs that have assisted more than 12,000 individuals to improve the quality of their health through research, data analysis, and coordination with local experts. Her strong ability to adapt, investigate and understand different methodologies ensure that the highest standards are reached within the healthcare industry. Rebecca is currently employed as Informatics Researcher at Laboratory Informatics Institute.

In the ancient times health care applications to technology consisted only of what the clinician could observe, and then as time moved on and innovations occurred in both health care and technology, companion disciplines to healthcare such as microbiology began to grow. Was Louis Pasteur able to understand the full significance of his theory that germs caused illness? Could Joseph Lister fully appreciate how meaningful his hand washing technique would become to future surgeons? Innovation in health care often meets, as these two were with skepticism, humor, and other barriers to acceptance. The current innovations combining health care and technology such as the health care cloud, electronic health records (EHR), laboratory information systems (LIS), health information exchange (HIE), and others too numerous to discuss have the potential to take health care from a series of little shops, into a supermarket. In the ancient times, our ancestors went from shopkeeper to shopkeeper. One went to the farmer for milk and eggs, the butcher for meat, the miller for grain, the baker for bread, and so on. When is the last time anyone followed that procedure while grocery shopping? Last week millions of families went to the local supermarket. This is the direction health care is going in, in an effort to contain costs and bring more value to the customer (patients), healthcare providers are grouping together in accountable care organizations (ACO), or affiliating with hospitals.

Steven Royce Woods completed his MD at Howard University College of Medicine in Washington DC. He began his postdoctoral research experience at the Center for Autism and Related Disorders (CARD) at the Kennedy Krieger Institute in Baltimore MD, after which he completed 2 years of general pediatrics residency at the Children’s Hospital of Michigan in Detroit MI. He returned to Baltimore MD to continue his postdoctoral research at John’s Hopkins University School of Medicine in his current role as an e-health and psychiatry postdoctoral research fellow in the Department of Psychiatry and Behavioral Sciences. His research interests include studying cognition among patients with major depression, the use of technology to improve patient care, suicide prevention, and risk reduction among vulnerable groups.

Major Depressive Disorder (MDD) has been a major source of morbidity and mortality, and is often associated with cognitive impairment. Little is understood about the cognitive effects of electroconvulsive therapy (ECT) during the treatment course among patients with MDD. The study represents a novel, automated assessment of the effect on cognitive functioning of patients receiving ECT treatment for MDD. The objectives of this study were to measure cognitive changes in MDD patients during their course of ECT treatment. We also correlated cognitive measures obtained by administering DANA with results of minimental status examinations (MMSE). DANA is a new neurocognitive assessment tool that includes a library of standardized cognitive and psychological assessments. A neurocognitive and psychological assessment battery was conducted on an electronic tablet with DANA software, throughout the course of ECT treatment. Results of DANA assessments were then correlated with standardized MMSE results employed for clinical purposes. Preliminary analyses of pilot data indicate that DANA performance correlated with MMSE in the majority of outcomes. The correlation between MMSE and aspects of the following tests gave an absolute correlation coefficient r>0.7, with p<0.0001: Code substitution, spatial processing, procedural reaction and simple reaction time. Correlation between MMSE and aspects of the stern berg memory search gave an even higher absolute correlation coefficient r>0.8, p<0.0001. The neurocognitive tests employed in the DANA mobile assessment were highly correlated with conventional MMSE measurements employed in the treatment of depressed patients undergoing ECT treatment. Results suggest that DANA is an effective tool for assessing cognition in patients with major depression.

Ahmad Alaiad is a PhD candidate in information systems department at UMBC. His research focuses on health information technology (HIT). He has various publications (around 10) in reputed journals and conferences. Lina Zhou is an associated professor in information system department at UMBC. Her current research interest includes HIT, group communication, and online social networks. She has more than 100 papers in reputed journals and conferences.

Home healthcare initiative aims primarily not only to control healthcare cost through reducing readmission costs and transportation costs but also improve pos-hospitalization healthcare quality and increase patient independency. Today, it is almost unimaginable to consider this initiative without health information technology (HIT). Healthcare that occurs at home is a complex experience in which individuals are expected to perform a range of health care tasks and interact with a vast array of medical devices and technologies in residential settings. Understanding the domain context and boundary of home healthcare is very critical for its success. Little research discusses this context and its surrounding entities to date. Therefore, this qualitative study aims to fill this knowledge gap by proposing a framework of the domain context using qualitative methods. The study’s data was collected through semi structured interviews with 12 stakeholders in the domain including both patients and medical professionals served for or by home healthcare agencies on the east coast in the U.S. Kvale’s approach was used for content analysis, which has seven steps: thematizing, designing, interviewing, transcribing, analyzing, verifying, and reporting. The results of content analysis reveal us to define four major components of the framework including person, task, technology and environment. The results also show how these components interact to each other. All of these components affect the safety and quality of the health care that occurs in the home. The findings are significant for home healthcare providers, technology designers and manufacturers, policy makers and local and federal government. Several theoretical and practical implications are discussed.