CCGHE develops and tests technologies that show promise for delivering fast and affordable patient care wherever it's needed.


With nearly 50 approved antiretrovirals (ARV) or ARV combination options for HIV patients, clinicians face a complicated decisions about the best treatment regimens for their patients. Developed by Dr. Maunank Shah, HIV-ASSIST is an online resource to help HIV care providers determine the most effective antiretroviral therapy for their adult HIV patients.
HIV-ASSIST uses specific patient attributes—including drug resistance, comorbidities, comedications, treatment history, viral load, CD4, tropism, HLA status—and ranks preferred ART regimens according to likelihood of viral suppression (e.g., drug activity) and tolerability (e.g., minimize drug interactions, impact on comorbidities, pill burden). The recommended regimens are based on the most up-to-date HIV clinical guidelines.

HIV-ASSIST additionally provides tailored educational content on each recommended ART regimen, including a review of clinical trials, dosing information, drug interactions, and summary of how comorbidities or drug resistance mutations may influence choice of ART.  All HIV-ASSIST algorithms are annotated and transparent to allow clinicians to learn about individualized ART decision-making. 
Visit HIV-ASSIST Website
Please note that HIV-ASSIST is an educational site and is not a substitute for clinical judgement. 

miLAB: Clinical Lab on a Chip

CCGHE Director Bob Bollinger is leading a multidisciplinary team of JHU experts in an international collaboration with Belgium silicon chip engineering company imec, and miDIAGNOSTICS to develop a clinical lab on a chip designed to provide diagnostic testing at the point of need. The effort is through international public-private collaboration, and the technology has the potential to radically transform healthcare. 

  • Designed for mobile platforms: highly portable, no temperature control required, able to reach people in remote areas and people who are not ambulatory
  • Requires only a few drops of blood, rather than vials, to process cell, protein, nucleic acid, and small molecule samples
  • Provides results within minutes, without the need for a laboratory. Has potential to get patients into care quicker, and provide enormous costs savings 
  • Potential to contribute greatly to medical resources conservation in regions where they are scarce
  • Potential for reporting real-time data about disease clusters and outbreaks, which can inform better and more efficient decision making about international aid and resource allocation

emocha Mobile Health Platform

In 2008, Bob Bollinger, Larry Chang, Jane-McKenzie-White, and programmer Miquel Sitjar invented the emocha® mobile health platform. Initially developed to help community health workers in Uganda better serve patients in remote areas, the platform is now licensed by emocha Mobile Health, Inc. We’ve developed and tested numerous emocha® applications to:
  • Refer multidrug-resistant TB patients in South Africa into care within 72 hours of a confirmed diagnosis, improving treatment outcomes
  • Link TB patients to health authorities through video conferencing. Health authorities require providers to watch patients take TB medication. The miDOT smart phone application allows providers to monitor patients remotely. The US Centers for Disease Control and Prevention named Harris County, Texas, a 2016 TB Elimination Champion; miDOT is a central component of the county’s program. miDOT is being expanded for use with office-based opioid treatment programs
  • Screen for, and provide care referrals to patients with, oral cancer in Southeast India
  • Help visiting care workers identify pregnant women who are at risk for domestic abuse, and deliver interventions intended to reduce intimate partner violence
  • Manage retention in care for HIV-positive intravenous drug users
  • Deliver patient care reminders and health education resources, and facilitate provider-patient communication
  • Collect clinical trial and study participant data in real-time
The platform is being used by the following health departments: 
  • Seattle, WA
  • San Francisco, CA
  • Alameda County, CA
  • Contra Costa County, CA
  • Fresno County, CA
  • Merced County, CA
  • San Diego, CA
  • Albuquerque, NM
  • Denver, CO
  • Collin Cuonty, TX
  • Harris County, TX
  • Kansas City, MO
  • Audrain County, MO
  • Columbus, OH
  • Morgantown, WV
  • Baltimore, MD
  • Anne Arundel County, MD
  • Caroline County, MD
  • New York, NY
  • Boston, MA
  • Juarez, Mexico
  • Pune, India
  • Bangalore, India
  • Sydney, Australia
  • The State of Delaware
  • The State of Rhode Island
  • The Commonwealth of Puerto Rico