News and Events

Chair’s Message

pth-use-this-oneFall is here, with cooler weather and welcome rain. Our new students are arriving and getting settled. We are still actively recruiting new faculty as part of our strategic plan to expand our core faculty by 50%, with 3-4 positions remaining to be filled over the next two years (see link).

We had a successful annual Fall faculty retreat and identified specific goals for 2017-18 related to our strategic plan that include increasing intra-departmental research collaborations, new collaborations with Development, and revising and re-starting an undergraduate course.


Peter Tarczy-Hornoch, MD
Chair and Professor, Department of Biomedical Informatics and Medical Education


Biomedical Informatics and Medical Education Newsletter

November 20-24, 2017


BIME 590A – Biomedical & Health Informatics Lecture Series

*NO CLASS on Thursday, November 23, 2017*

BIME 591B– Student Lecture Series

Tuesday, November 21, 12:00-12:50pm, Health Sciences Building, T530

Facilitators: Shefali Haldar and David Masuda, MD

Student Speaker: Laura Kneale

See course website for details.


BIME 591C– Machine Learning in Healthcare: Opportunities and Challenges

Tuesday, November 21, 1:00-1:50pm, SOCC 346

Facilitator: Elaine Nsoesie, PhD

See course website for details.



Laura Kneale
Monday, November 27, 3pm, Health Sciences Building, Room T473

Title: Using personal health records to promote patient activation in the homebound older adult population

Abstract: Patient activation, or an individual’s willingness and ability to take actions to maintain their health and wellness, is a primary component of the patient-centered health system. Activated patients are more likely to report positive experiences with their medical providers, have better health outcomes, and spend less on healthcare services. Homebound older adults face more barriers to patient activation than their non-homebound peers. Because people who are homebound are unable to leave their homes without significant assistance, regularly accessing clinic-based medical services is difficult. In addition, as a population, homebound older adults have more chronic diseases, physical and cognitive impairments, and challenges with activities of daily living than non-homebound older adults.

The number of older adults who are homebound is on the rise, and they are a growing proportion of the older adult patient population. Therefore, more research is needed to understand how consumer health information tools can be used with this population to support activation and improve health outcomes. This dissertation explores the usability, feasibility, and preliminary effectiveness of personal health records with the homebound older adult patient population. In a series of studies, I outline the benefits of using personal health records with this population, assess how current personal health records meet the needs of homebound older adult users, and describe considerations for health systems and researchers who are interested in exploring personal health records for the homebound older adult population.

This work furthers our understanding of the application of personal health records in homebound older adult patient populations. In addition, I provide design recommendations on how future systems can better meet needs of homebound older adult users. Finally, I offer suggestions to help future researchers maximize the effectiveness of homebound older adult personal health record evaluations.

 Hyunggu Jung
Thursday, November 30, 10am, UW Medicine South Lake Union, 750 Republican St., Building E, Room E130A

Title: Creating a Smartphone Application for Image-Assisted Dietary Assessment among Older Adults with Type 2 Diabetes

Abstract: In the United States, the older population aged 65 or over numbered 44.7 million in 2013 and is anticipated to reach approximately 74 million people by 2030. More than one in four people in the United States aged 65 years and older have diabetes. For diabetes care, medical nutrition therapy (MNT) is recommended as a clinically effective intervention. For personalized MNT, it is essential for dietitians to assess the nutritional status of patients with a variety of dietary data (i.e., meal patterns, food choices, and overall dietary balance). However, it is difficult to obtain accurate information because traditional dietary assessment methods (e.g., 24-hour dietary recall (24HR), food records) are based on self-reported data. In particular, those methods might be inappropriate for older adults because they have special considerations with diminished functional statuses (i.e., diminished vision and memory loss). To address this problem, researchers developed and validated dietary assessment methods using the images of food items for improving the accuracy of self- reporting of traditional methods. Nevertheless, little is known about the usability and feasibility of image-assisted dietary assessment methods for diabetic older adults and their satisfaction with the methods. To my knowledge, no studies evaluated the image-assisted dietary assessment methods with both health providers (i.e., dietitians) and patients (i.e., diabetic older adults), though both are essential stakeholders in the dietary assessment process. Further, little is known about the usability and feasibility of smartphone applications for image-assisted dietary assessment, though a smartphone is the device that can perform multiple tasks (i.e., capturing, viewing, and transmitting images) required for image-assisted dietary assessment. Filling these gaps may reduce the error of self-reporting by diabetic older adults and result in more accurate dietary assessment. The goal of this research is to improve the accuracy of traditional dietary assessment methods among older adults with type 2 diabetes. To achieve the goal, I created Food Record App for Dietary Assessment (FRADA), a smartphone application for capturing, viewing, and transmitting the images of food and beverages and evaluated the usability and feasibility of FRADA and the satisfaction of diabetic older adults with the application. Further, I evaluated the satisfaction of dietitians with the image-assisted 24HR session. The findings of this research support the evidence that image-assisted dietary assessment using FRADA could be potentially used to improve the accuracy of dietary assessment by reducing the error of self-reporting. Also, this study reveals design opportunities to facilitate communications between older adults and dietitians for better dietary assessment. To my knowledge, this is the first attempt to evaluate a smartphone application with both older adults and dietitians through a lab-based and deployment study based on 24HR.


Congratulations to Lauren Snyder!

PhD student Lauren Snyder was awarded the graduate level Healthcare Information and Management Systems Society (HIMSS) Washington Student Scholarship and will receive the award at the annual HIMSS banquet in January 2018.

Congratulations to Kevin Li!

BHI MS Student Kevin Li leads an undergraduate lab (UW iGEM), who recently competed at the iGEM International Genetically Engineered Machine Jamboree in Boston. His undergraduate team placed Silver in the international competition, beating out Harvard and MIT.


2017 AAMC Annual Meeting, Boston, 11/3- 11/7: Janice Sabin was an invited faculty panelist at the 2017 AAMC annual meeting: Session titled: “Strategies for Responding to Explicit and Implicit Bias.”  This panel was the second of a two-part series. This session highlighted promising practices from institutions that have formal bias reporting systems and provided concrete advice on what attendees can do to reduce the impact of both explicit and implicit bias at their institutions.

Janice Sabin presented a poster at the 2017 AAMC annual meeting titled: Increasing Faculty Diversity: Essential Elements of Mandated Search Committee Training that Includes the Science of Implicit Bias

BIME Clinical Assistant Professor, Eric Rose, MD, was appointed to the 2018 AMIA Annual Symposium Scientific Program Committee.



Washington D.C., November 4-8, 2017

The University of Washington faculty and alumni were well represented in the organization of the excellent 2017 Fall Symposium!  UW faculty serve in leadership roles in AMIA including Tom Payne as AMIA Board President and Wanda Pratt as AMIA board member.

Uba Backonja served as the Co-Chair for the Women in AMIA Career Development event (

Andrea Hartzler served as Mentor for Career Development for Women in AMIA special event

and served as a Participant in the Workshop on Interactive Systems in Healthcare (WISH)

Wanda Pratt served in a variety of roles:

  • Invited lunch speaker for the 56 First Look Undergraduate program that will provide underrepresented undergraduate students with an interest in informatics an opportunity to learn about the field
  • Invited, featured presentation of the Year in Review for Consumer Health Informatics
  • Panelist and organizer for “Engaging Patients with Health Technologies to Improve Quality of Care and to Reduce Preventable Harm” with co-panelists David Bates, Patricia Dykes, Ryan Greysen, and Cornelia Ruland
  • Served as one of three judges for the AMIA Student Design Challenge

BHI and CIPCT Alumni Wenwai Yim, Wayne Liang, Lisa Vizer, Richard Boyce, and Neris Nieves-Robbins also participated at the symposium.

“Continuing a many-years-long, and constantly changing(!) tradition, we had a nice BHI dinner at AMIA.  It was attended by faculty and staff (Peter Tarczy-Hornoch, Bill Lober, Gang Luo, Jim Brinkley, Anne Turner, Lora Brewsaugh), current students (Yong Choi, Dae Lee, Shefali Haldar), and members of the BHI extended community: Jessica Lundin from MS Research, and Jordon Eschler, former PhD student of Wanda Pratt, currently a postdoctoral fellow at Northwestern.  Best of all, it was attended by Alums Richard Boyce (2008 PhD graduate, now at University of Pittsburgh), Alicia Guidry (2013 PhD graduate, now at University of Louisiana), Casey Overby Taylor (2011 PhD graduate, now at Johns Hopkins University), and Amanda Lazar (2015 PhD graduate, now at University of Maryland).  Looking forward to dinner in San Francisco next year!” –BHI Faculty Bill Lober

Here is a collection of work presented by our department during the symposium:

Poster:  Using Machine Learning to Predict Hospital Acquired Sepsis: Xinran (Leo) Liu, MD, University of Washington

Presentation: Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing: William Lober, MD, University of Washington

Paper: W. Yim, S. Kwan, G. Johnson, M. Yetisgen. Classification of Hepatocellular Carcinoma Stages from Free-text Clinical and Radiology Notes.

Paper: K. Lybarger, M. Ostendorf, M. Yetisgen. Automatically Detecting Likely Edits in Clinical Notes Created Using Automatic Speech Recognition.

Presentation:  D. Lee, M. Yetisgen. Clustering Vital Sign Observations Using Unsupervised Random Forest.


Title: Enabling Collaboration for Building High Quality, Sustainable and Scalable National Health Information Systems in Resource-Limited Settings

Authors: Pascal Brandt, MSc, William B. Lober, M.D., M.S., Jan Flowers, M.S.

Summary: In resource-limited settings, health information system development is often driven by donor funded organizations. These organizations frequently work in silos to meet specific grant requirements. As a result, efforts within a single country may be duplicated, and solutions often lack technical oversight and a consistent architecture.  Standards and best practices may not be employed, and the software engineering approaches to promote requirements-driven, maintainable, collaborative, and reusable code may be lacking. As organizations scale their systems, they often end up with multiple software versions and configurations that are difficult to support and manage across facilities. Poor coordination between organizations and a lack of interoperability result in a fragmented national healthcare information system. This is especially damaging to delivering and monitoring health care in situations where Ministries of Health may be challenged to attract and retain sufficient health IT expertise.

We developed and implemented a strategy for collaboration across government, donor, and developer organizations, in Mozambique, using open source tools to implement a consistent approach to software engineering tasks and collaborative software development. Our approach is based on lessons learned in collaboration within the OpenMRS community, and has been in place in Mozambique since 2015.


Title: Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions

Authors: Timothy Bergquist, Ronald W Buie, Kevin Li, Pascal Brandt

Summary: 30-day readmissions are extremely costly for hospitals. Heart failure patients are particularly vulnerable following an exacerbation event, and so need to be tracked closely following discharge. However, data tend to be siloed, the patient may fail to retain or accurately interpret home care instructions, and the self-management plan may not be fully communicated to the patient. Additionally, data collected by the patient may not be accurately reported, and are often collected on paper, which makes interpretation during the clinical encounter difficult. We propose a user-centered design approach to developing an application that facilitates the collection of patient generated data (PGD), integrates these data into the EHR using SMART on FHIR, and provides application interfaces tailored to each stakeholder.

Poster: Inpatient Perspectives and Information Needs for Error Prevention, Shefali Haldar, Sonali R. Mishra, Ari H Pollack, Wanda Pratt

Presentation at the Workshop on Interactive Systems in Healthcare (WISH) on “Opportunities and Design Considerations for Peer Support in a Hospital Setting” by Shefali Haldar, co-authors are Sonali R. Mishra, Maher Khelifi, Ari Pollack, Wanda Pratt

Presentation: Ozkaynak M, Valdez R, Demiris G, Novak L, Choi Y, Weir C. Innovation in Workflow Methods for Consumer Health Informatics. Panel presented at the American Medical Informatics Association (AMIA) 2017 Annual Symposium, Washington DC, November 2017

Presentation: Berry A, Lim C, Hartzler A, Hirsch T, Ludman E, Wagner E, Ralston J. Eliciting Values of Patients with Multiple Chronic Conditions: Evaluation of a Patient-centered Framework

Presentation: LeRouge C, Hartzler A, Kellogg L, Hasselquist M, Lavallee D. Patient-Reported Outcomes in Clinical Use: Clinician Perspectives.

Presentation: Austin E, LeRouge C, Hartzler A, Lavallee D, Lober W. An Enterprise Approach to Designing Patient-Reported Outcomes (PROs) Systems: Diverse Perspectives Across a Large Healthcare Organization

Learning Showcase: Informatics Graduate Experience at the University of Washington: Embracing Innovation to Solve Biomedical Problems: Peter-Tarczy-Hornoch, University of Washington

Podium Abstract “A Conceptual Model of Personal Health Informatics for Chronic Illness” presented by Lisa Vizer (BHI postdoc alum), co-authors are Jordan Eschler, Bon Mi Koo, James Ralston, and Wanda Pratt


November 13-17, 2017


 BIME 590A – Biomedical & Health Informatics Lecture Series

Thursday, November 16, 4:00pm-5:00pm, UW Medicine South Lake Union, Building C, Room C123A&B

 (Also broadcast live and archived at; livestream will have a red dot in the top left hand corner)

Title:  The Next EHR Paradigm: the App Store Model

 Speakers: Pascal Brandt, MS and Piotr Mankowski

PhD Students, Department of Biomedical Informatics & Medical Education, University of Washington

Abstract:  Electronic Health Records have become central to the US health system, and their roles and capabilities continue to evolve. Despite these advances, there is considerable dissatisfaction, as users feel the systems don’t meet their institutional, field-specific, or individual needs. Meeting these complex needs is a herculean task for EHR vendors, which has led to the recent push for positioning their EHR systems as application platforms that can natively integrate a wide range of interoperable applications. This novel paradigm requires a (number of things): the creation of applicable standards, the adoption of and support for these standards, the design and development of pluggable healthcare applications, and the sharing and monetization of these applications. We briefly outline the history of EHR systems and provide an overview of the current landscape of four applicable standards gaining traction in the field: FHIR, SMART and CDS Hooks. We discuss current levels of adoption of these standards by various stakeholders, and suggest an institutional model for EHR extension based on the IAPPS initiative at the University of Utah Health System, a pioneer in this field. We outline the infrastructure being built by EHR vendors/other groups for sharing and monetising these applications. Finally, we highlight some relevant efforts at UW in this area, and discuss the opportunities and challenges that exist at the University of Washington, and the possible future direction our institution needs to take to remain innovative and provide the best possible experience for clinicians and patients.

Speakers’ Bios:

Piotr Mankowski is a second-year PhD student in Biomedical and Health Informatics at the University of Washington. After receiving a B.Sc. in computer science and biology at McGill University, he worked for 6 years at the Brigham and Women’s hospital in the Division of Sleep and Circadian Disorders as a database and web application developer, data analyst, and research project leader. Currently, Piotr works with the Clinical Informatics Research Group headed by Bill Lober, and is involved in using SMART on FHIR to integrate mobile health apps with both patient- and provider-facing EHR platforms.

Pascal Brandt is a second-year PhD student in Biomedical and Health Informatics at the University of Washington from Cape Town, South Africa. He has been working as a software engineer on open source electronic health record system development and implementation since 2009, focusing primarily on the OpenMRS project. He has an MSc in computer science, during which he investigated using machine learning techniques to build predictive models from healthcare data. He is currently working with Adam Wilcox on EHR data mining and analytics methods to support the learning healthcare system.

BIME 591B– Student Lecture Series

Tuesday, November 14, 12:00-12:50pm, Health Sciences Building, T530

Facilitators: Shefali Haldar and David Masuda, MD

Student Speaker: Taryn Hall, PhD

See course website for details.

BIME 591C– Machine Learning in Healthcare: Opportunities and Challenges

Tuesday, November 14, 1:00-1:50pm, SOCC 346

Facilitator: Elaine Nsoesie, PhD

See course website for details.



Ming-tse Tsai, MD
Friday, November 17, 2017, 10:30am, UW Medicine South Lake Union, Building E, Room E130B
Title: Predicting Medical Patients’ Length of Stay in Emergency Department (ED) at presentation
Abstract: ED overcrowding is a significant issue in modern medicine across many countries, which not only threatens patient safety but also burns out providers’ passion. Among several proposed indicators, ED LOS is the most common one of measurement. Being able to predict ED LOS at a patient’s presentation provides valuable information to all the stakeholders in ED, including patients, providers, and managers. In this study, a predictive model was built, as well as the powerful predictors were identified, via a machine learning method by leveraging the real-world data collected in a medical center in Taiwan. The results benefit in informing future modeling and shed a light to the path towards tackling this complex multifactorial phenomenon.



BIME Adjunct Professor Dr. Wanda Pratt was recently interviewed for Perspectives on Safety on AHRQ PSNet. Her interview has been posted online in the November 2017 issue:

In conversation with Wanda Pratt, PhD [interview]. AHRQ PSNet [serial online]. November 2017. Available at:

Associate Dean & Director of the Health Sciences Library, Tania Bardyn, has been elected to the Board of Directors of the Association of Academic Health Sciences Libraries (AAHSL). AAHSL is comprised of 149 libraries serving the accredited US and Canadian medical schools in the Association of Academic Medical Colleges and osteopathic libraries. It supports academic health sciences libraries and directors in advancing the patient care, research, education, and community service missions of academic health centers and teaching hospitals through leadership, expertise in health information, data science, and scholarly communication. As part of her role on the Board, Tania will provide guidance to the association on its strategic direction and be the liaison to the Future Leadership Committee. AAHSL works closely with partners and associations including: NLM, AMIA, AAMC – GEA & GIR, IPEC, and the MLA.


  1. Tsung-Chien Lu, Anne M. Turner. A Novel Chest Compression Depth Estimation Algorithm Based on a Smartwatch for High-Quality Cardiopulmonary Resuscitation. American Heart Association (AHA 2017), ReSS Poster Session, Anaheim, California, Nov 11–13, 2017.
  2. Tsung-Chien Lu. Development and Validation of a Triage Tool in Predicting Cardiac Arrest in the Emergency Department. American Heart Association (AHA 2017), ReSS Poster Session, Anaheim, California, Nov 11–13, 2017. (Young Investigator Award)


November 6-10, 2017


 BIME 590A – Biomedical & Health Informatics Lecture Series

Thursday, November 9, 4:00pm-5:00pm, UW Medicine South Lake Union, Building C, Room C123A&B

 (Also broadcast live and archived at; livestream will have a red dot in the top left hand corner)

Title:  Exploring genomic associations to adverse drug events (ADE) using the eMERGE PGx data set

Speaker: Jared Erwin, MS

PhD Student, Department of Biomedical Informatics & Medical Education,

University of Washington

Abstract:  Adverse drug events (ADEs) are a serious problem causing over 100,000 hospitalizations in the U.S. annually.  Trying to better predict an individual’s response to a particular medication is a major area of research and some success using genetic biomarkers has been achieved.  The eMERGE PGx data set is a collection of clinical records combined with a targeted pharmacogenetic panel of 84 genes.  This research explores possible ADEs within this data set and begins to explore associations between the ADEs and genetic variation.

Speaker’s Bio:  Jared Erwin is a 4th year PhD student in the Biomedical and Health Informatics program currently working with David Crosslin.  His interests include linking clinical data with genetic information, creating usable data repositories for the combined data and improving our ability to easily analyze the data sets.  His background is in computer science with a master’s degree in software engineering and a bachelor’s degree in Computer Science.  Previous industry experience includes working on pacemakers and defibrillators as well as population health management software.

BIME 591B– Student Lecture Series

*NO CLASS – AMIA Conference*

BIME 591C– Machine Learning in Healthcare: Opportunities and Challenges

Tuesday, November 7, 1:00-1:50pm, SOCC 346

Facilitator: Elaine Nsoesie, PhD

See course website for details.


The Center for World University Rankings has ranked medical informatics research as again tied 3rd in the world – read all the details in UW Medicine’s The Huddle article!

Congratulations to Yong K. Choi!   On November 2, Yong successfully completed his General Exam titled, “Examining the Feasibility of Internet of Things Technologies to Support Aging-in-Place,” with his doctoral supervisory committee co- chaired by Drs. George Demiris and Hilaire Thompson. His committee also includes Drs. Clara Berridge and Andrea Hartzler.

Congratulations to Cheryl Lee!  Congratulations to BHI alum Chia-Ju (Cheryl) Lee, who was recently selected for a postdoctoral fellowship from the National Health Research Institutes (NHRI) in Taiwan (the equivalent of NIH in the U.S.). She will be working with Dr. Shih-Feng Tsai’s lab on the Flagship Program for Precision Medicine, a 4-year project embracing the power of population genomics and biomedical technology to deliver genomic analysis services, genetic test panels, and healthcare delivery systems for long-term, sustainable business development on precision medicine.


Luo. Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper. SIGKDD Explorations.



October 31-November 3, 2017


BIME 590A – Biomedical & Health Informatics Lecture Series

Thursday, November 2, 4:00pm-5:00pm, UW Medicine South Lake Union, Building C, Room C123A&B

 (Also broadcast live and archived at; livestream will have a red dot in the top left hand corner)

 Title:                     An Informatics Agenda for Infectious Disease Epidemiology

 Speaker:              Neil Abernethy, PhD

Associate Professor, Department of Biomedical Informatics and Medical Education, University of Washington

Abstract:             Infectious diseases such as HIV, malaria and tuberculosis kill millions of people every year, even while new treatments and surveillance systems have the potential to improve this situation. However, researchers increasingly face challenges when integrating and analyzing complex data sources such as genomic, geographic, sensor, EHR, and geographic data. I will describe the state of the field and discuss how new informatics, modeling, and data science tools are promising to bring this data deluge under control.

Speaker’s Bio:

Dr. Neil Abernethy is associate professor in Biomedical Informatics and Medical Education with a joint appointment in Health Services at the University of Washington. Prior to joining the UW, he developed tools to aid the molecular epidemiology of tuberculosis as a post-doctoral fellow and epidemiologist at the University of California at San Francisco. He has also worked as a technology entrepreneur in Silicon Valley and a statistician based at the Medical Research Council in West Africa. He received undergraduate degrees in Biochemistry and Applied Mathematics from North Carolina State University, and a PhD in Biomedical Informatics from Stanford University.

BIME 591B– Student Lecture Series

Tuesday, October 31, 12:00-12:50pm, Health Sciences Building, T530

Facilitators: Shefali Haldar and David Masuda, MD

Student Speakers: Aakash Sur and Lauren Snyder

See course website for details.

BIME 591C– Machine Learning in Healthcare: Opportunities and Challenges

Tuesday, October 31, 1:00-1:50pm, SOCC 346

Facilitator: Elaine Nsoesie, PhD

See course website for details.



 Yong K. Choi
Thursday, November 2, 3pm, Health Sciences Building, Room T612

Title: Examining the Feasibility of Internet of Things Technologies to Support Aging-in-Place

Abstract: The older adult population is one of the fastest growing demographic groups in the United States. Associated with this aging population are changes in health and wellness. Older adults face challenges such as chronic health conditions, reduced mobility, and cognitive decline. Technological solutions are valuable resources to assist older adults in maintaining their quality of life. One approach involves the Internet of Things (IoT) connected sensors which are designed to detect and record individuals’ activities and status within their living spaces. Despite the promise of these technologies to improve health outcomes and quality of life in older adults, there still remains a challenge in understanding older adults’ perceptions and concerns. We propose to conduct a pilot study to demonstrate feasibility and understand older adults’ preferences and needs using the IoT connected sensors within their home. The specific aims of this project are to: 1) Assess the feasibility of an IoT smart sensor system to monitor older adults in their residential setting; 2) Examine older adults’ perceived level of obtrusiveness of an IoT smart sensor system and how this perception may change over time and after exposure to such a system; 3) develop design recommendations for a future IoT smart sensor system to better assist older adults’ aging-in-place and maximize their user experience.


 BHI MS Student Kevin Li is leading an undergraduate lab (UW iGEM). The team has scheduled a practice presentation, see details below. The team welcomes practice and feedback from faculty and graduate students.

Rehearsal Presentation Date:  November 6th at 5:30pm

Location: Hogness Auditorium, HSB A-420

Title:  Viva Violacein – An Affordable Real-Time Metabolics Tracker


Advances in synthetic biology have led to new, useful metabolic pathways that can be used to produce metabolites on a commercially-viable scale. However, management of these cultures is time-consuming and labor-intensive, and measuring levels of metabolites often involves prohibitively expensive analytics, such as HPLC. Our project aims to overcome these problems by providing a low-cost, automated turbidostat bioreactor that analyzes a yeast culture in real time and corrects inputs to maintain culture conditions. To test our system, we use the violacein metabolic pathway, regulated with inducible promoters, to yield four visually distinct pigments. An open-source Raspberry Pi computer collects color and opacity information about the culture, and software analyzes the color and gradually introduces the inducers to keep the culture’s production stable. By combining biological, software, and hardware systems, our design can generate previously-unavailable visual data in certain biosynthesis processes, and has a wide range of applications in industrial fermentation.


BHI Alum Hossein Estiri and BIME Adjunct Assistant Professor Kari Stephens recently published a paper at JAMIA, entitled: Exploring completeness in clinical data research networks with DQe-c.  It is open access and can be downloaded from here: