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"digital medicine"

Kathryn A Phillips, Michael P Douglas, Julia R Trosman, Deborah A Marshall
BACKGROUND: The growth of "big data" and the emphasis on patient-centered health care have led to the increasing use of two key technologies: personalized medicine and digital medicine. For these technologies to move into mainstream health care and be reimbursed by insurers, it will be essential to have evidence that their benefits provide reasonable value relative to their costs. These technologies, however, have complex characteristics that present challenges to the assessment of their economic value...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
John Torous, Camille Nebeker
Research studies that leverage emerging technologies, such as passive sensing devices and mobile apps, have demonstrated encouraging potential with respect to favorably influencing the human condition. As a result, the nascent fields of mHealth and digital medicine have gained traction over the past decade as demonstrated in the United States by increased federal funding for research that cuts across a broad spectrum of health conditions. The existence of mHealth and digital medicine also introduced new ethical and regulatory challenges that both institutional review boards (IRBs) and researchers are struggling to navigate...
February 8, 2017: Journal of Medical Internet Research
Dave Anderson, Roger Liu, J Anand Subramony, Jon Cammack
Combination products are therapeutic and diagnostic medical products that combine drugs, devices, and/or biological products with one another. Historically, biologics development involved identifying efficacious doses administered to patients intravenously or perhaps by a syringe. Until fairly recently, there has been limited focus on developing an accompanying medical device, such as a prefilled syringe or auto-injector, to enable easy and more efficient delivery. For the last several years, and looking forward, where there may be little to distinguish biologics medicines with relatively similar efficacy profiles, the biotechnology market is beginning to differentiate products by patient-focused, biologic-device based combination products...
January 11, 2017: Advanced Drug Delivery Reviews
Eric Elenko, Lindsay Underwood, Daphne Zohar
No abstract text is available yet for this article.
November 8, 2016: Nature Biotechnology
Timothy Peters-Strickland, Linda Pestreich, Ainslie Hatch, Shashank Rohatagi, Ross A Baker, John P Docherty, Lada Markovtsova, Praveen Raja, Peter J Weiden, David P Walling
OBJECTIVE: Digital medicine system (DMS) is a novel drug-device combination that objectively measures and reports medication ingestion. The DMS consists of medication embedded with an ingestible sensor (digital medicine), a wearable sensor, and software applications. This study evaluated usability of the DMS in adults with schizophrenia rated by both patients and their health care providers (HCPs) during 8-week treatment with prescribed doses of digital aripiprazole. METHODS: Six US sites enrolled outpatients into this Phase IIa, open-label study (NCT02219009)...
2016: Neuropsychiatric Disease and Treatment
Richard V Milani, Carl J Lavie, Robert M Bober, Alexander R Milani, Hector O Ventura
Hypertension is present in 30% of the adult US population and is a major contributor to cardiovascular disease. The established office-based approach yields only 50% blood pressure control rates and low levels of patient engagement. Available home technology now provides accurate, reliable data that can be transmitted directly to the electronic medical record. We evaluated blood pressure control in 156 patients with uncontrolled hypertension enrolled into a home-based digital-medicine blood pressure program and compared them with 400 patients (matched to age, sex, body mass index, and blood pressure) in a usual-care group after 90 days...
January 2017: American Journal of Medicine
Eric Topol
No abstract text is available yet for this article.
August 20, 2016: Lancet
Shreya S Gollamudi, Eric J Topol, Nathan E Wineinger
BACKGROUND: Digital medicine and smartphone-enabled health technologies provide a novel source of human health and human biology data. However, in part due to its intricacies, few methods have been established to analyze and interpret data in this domain. We previously conducted a six-month interventional trial examining the efficacy of a comprehensive smartphone-based health monitoring program for individuals with chronic disease. This included 38 individuals with hypertension who recorded 6,290 blood pressure readings over the trial...
2016: PeerJ
Edward H Shortliffe
No abstract text is available yet for this article.
October 17, 2016: Methods of Information in Medicine
Najeeb Al-Shorbaji, Riccardo Bellazzi, Fernan Gonzalez Bernaldo de Quiros, Sabine Koch, Casimir A Kulikowski, Nigel H Lovell, Victor Maojo, Hyeoun-Ae Park, Ferran Sanz, Indra N Sarkar, Hiroshi Tanaka
This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper "The New Role of Biomedical Informatics in the Age of Digital Medicine" written by Fernando J. Martin-Sanchez and Guillermo H. Lopez-Campos [1]. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the paper of Martin-Sanchez and Lopez-Campos. In subsequent issues the discussion can continue through letters to the editor.
October 17, 2016: Methods of Information in Medicine
Fernando J Martin-Sanchez, Guillermo H Lopez-Campos
OBJECTIVES: To reflect on the recent rise of Digital Medicine, as well as to analyse main research opportunities in this area. Through the use of several examples, this article aims to highlight the new role that Biomedical Informatics (BMI) can play to facilitate progress in research fields such as participatory and precision medicine. This paper also examines the potential impact and associated risks for BMI due to the development of digital medicine and other recent trends. Lastly, possible strategies to place BMI in a better position to face these challenges are suggested...
October 17, 2016: Methods of Information in Medicine
Joseph S Alpert
No abstract text is available yet for this article.
March 2017: American Journal of Medicine
Shashank Rohatagi, Deborah Profit, Ainslie Hatch, Cathy Zhao, John P Docherty, Timothy S Peters-Strickland
BACKGROUND: Nonadherence to medication compromises the effectiveness of psychiatric treatments in patients with serious mental illness (SMI). A newly developed digital medicine system (DMS) offers an opportunity to objectively assess and report patient medication adherence. DMS includes a wearable sensor that receives a data signal from a medication tablet with an embedded ingestible sensor after ingestion of the medication and transmits that data to the patient's mobile device to display health care information for the patient and treatment team...
September 2016: Journal of Clinical Psychiatry
Robert M Wachter
No abstract text is available yet for this article.
July 19, 2016: Annals of Internal Medicine
S Z Zhong, Jun Ouyang
Digital medicine is a newly developed interdiscipline, which is based on the rapid development of medical imaging technology and other advanced technologies in information science, such as computer and internet etc. To let academic world comprehend the history, status, mission, and prospect of this new branch of science, this comment primarily review the major events related to the booming process in Chinese digital medicine, the published milestone works, and dominating applied technology.
January 2016: Zhonghua Shao Shang za Zhi, Zhonghua Shaoshang Zazhi, Chinese Journal of Burns
Deborah Profit, Shashank Rohatagi, Cathy Zhao, Ainslie Hatch, John P Docherty, Timothy S Peters-Strickland
BACKGROUND: A digital medicine system (DMS) has been developed to measure and report adherence to an atypical antipsychotic, aripiprazole, in psychiatric patients. The DMS consists of 3 components: ingestible sensor embedded in a medication tablet, wearable sensor, and secure mobile and cloud-based applications. An umbrella study protocol was designed to rapidly assess the technical performance and safety of the DMS in multiple substudies to guide the technology development. METHODS: Two sequential substudies enrolled 30 and 29 healthy volunteers between March-April 2014 and February-March 2015, respectively, to assess detection accuracy of the ingestible sensor by the DMS and the latency period between ingestion and detection of the ingestion by the wearable sensor or the cloud-based server...
September 2016: Journal of Clinical Psychiatry
Steven R Steinhubl, Rajesh R Mehta, Gail S Ebner, Marissa M Ballesteros, Jill Waalen, Gregory Steinberg, Percy Van Crocker, Elise Felicione, Chureen T Carter, Shawn Edmonds, Joseph P Honcz, Gines Diego Miralles, Dimitri Talantov, Troy C Sarich, Eric J Topol
Efficient methods for screening populations for undiagnosed atrial fibrillation (AF) are needed to reduce its associated mortality, morbidity, and costs. The use of digital technologies, including wearable sensors and large health record data sets allowing for targeted outreach toward individuals at increased risk for AF, might allow for unprecedented opportunities for effective, economical screening. The trial's primary objective is to determine, in a real-world setting, whether using wearable sensors in a risk-targeted screening population can diagnose asymptomatic AF more effectively than routine care...
May 2016: American Heart Journal
Gerd Hasenfuß
No abstract text is available yet for this article.
April 2016: Deutsche Medizinische Wochenschrift
Richard Lane
No abstract text is available yet for this article.
March 26, 2016: Lancet
Joseph C Kvedar, Alexander L Fogel, Eric Elenko, Daphne Zohar
No abstract text is available yet for this article.
March 2016: Nature Biotechnology
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