Jeffrey G. Klann | Download |
Healthcare Informatics:
Harvard Medical School: Instructor of Medicine (Jan 12-)
Mass. General Hospital Lab of Computer Science (MGH LCS): Assistant in Computer Science (Jan 12-).
Regenstrief Institute: NLM Informatics Fellow (Aug 08-Aug 11), Student Researcher (Aug 07-08, Sep-Oct 11)
Indiana University: PhD Student in Healthcare Informatics (Aug 07-Sep 11).
Interoperability (software, queries, and data): A recent RAND study suggested that lack of interoperacility is one of the major reasons that the promise of electronic medical records has not met 2005 predictions. I am engaged in several projects to increase interoperability in healthcare systems. One is the SMART Platform, which is developing an iPhone-inspired 'app-store' platform for medical apps, reusable across systems. This is creating an ecosystem for medical app innovation. Another is the Query Health initiative, which is developing a distributed-query platform for population health queries. This platform allows population surveillance by 'sending questions to the data', therefore avoiding many of the data-sharing privacy concerns present in health information exchange. The data formats used by Query Health are also being adopted by the Meaningful Use incentive program. Third, I am involved in the Informatics for Integrating Biology and the Bedside (i2b2) clinical data warehouse and analytics platform, which is an open-source data warehouse in use at over 100 locations worldwide. I believe that all of these tools and more are needed to realize the promise of electronic health records.
- Presentation: Klann, Buck, Brown, Murphy, Fridsma. Query Health: One Step Toward A Learning Health System. November, 2013, AMIA Fall Symposium 2013. [Abstract]
- Presentation: Klann, Buck. Query Health Across Communities: The New York City Department of Health and Mental Hygeine Pilot. November, 2013, AMIA Fall Symposium 2013. [Abstract]
- Poster: Klann, Ramoni, Solovits, Murphy. Using SMART and i2b2 to Efficiently Identify Adverse Events. November, 2013, AMIA Fall Symposium 2013. [Abstract]
- Paper: Klann, Murphy. Computing Health Quality Measures Using Informatics for Integrating Biology and the Bedside. April, 2013, Journal of Medical Internet Research.
- Paper: Klann, McCoy, Wright, Wattanasin, Sittig, Murphy. Health Care Transformation Through Collaboration on Open-Source Informatics Projects: Integrating a Medical Applications Platform, Research Data Repository, and Patient Summarization. April, 2013, Interactive Journal of Medical Research. [PDF]
- Presentation: Klann, Murphy. Supporting the Health Quality Measures Format in i2b2. March, 2013, AMIA Clinical Research Informatics Meeting 2013.
- Panel: Klann, Wright, McCoy, Murphy. The Medical App Store, Research Data Repositories, and Physician Cognitive Overload: Uniting Three Large, Multisite Grants for Health Care Transformation. November, 2012, AMIA Fall Symposium 2012.
- Poster: Klann, Murphy. Query Health and i2b2: Enabling Standards-based, Multiplatform Population Health Queries. November, 2012, AMIA Fall Symposium 2012. [Abstract]
- Presentation: Klann, Wright, McCoy, Sittig, Murphy. Medical App Stores, Physician Cognitive Overload, and Research Data Repositories: an Integration. September, 2012, Medicine 2.0 Annual Conference 2012. [Ref]
- Demo: Klann. A live demo of structured clinical documents as timelines (see the poster below). (Original version here)
- Poster: Klann, McCoy. Using Structured Clinical Documents to Provide Enhanced Display of Patient Records. Nov. 2008, AMIA Fall Symposium. [Ref]
Wisdom of the crowd for clinical decision support: Although ample research has shown that individual physciains make errors, collaborative filtering experiments like Netflix and qualitiative and quantitative research into crowd wisdom have demonstrated there is truth to be extracted from heterogeneous groups of decision makers. How can systems utilize the growing mass of healthcare data to: assist physicians directly, to aid in the development of localized guidelines, and to detect changes in practice patterns over time?
- Paper: Klann, Anand, Downs. Patient-tailored prioritization for a pediatric care decision support system through machine learning. July 2013, Journal of the American Medical Informatics Association. [Ref]
- Dissertation: Klann. An Automated System for Generating Situation-Specific Decision Support in Clinical Order Entry from Local Empirical Data. Indiana University School of Informatics, September 2011.
- Dissertation proposal abstract: Klann. An Automated System for Generating Situation-Specific Decision Support in Clinical Order Entry from Local Empirical Data. Indiana University School of Informatics, April 2010.
- Paper: [Student Paper Award: 2nd Place] Klann, Schadow, Downs. A Method to Compute Treatment Suggestions from Local Order Entry Data. Nov 2010, AMIA Fall Symposium 2010. [Ref]
- Paper: [Student Paper Award Finalist] Klann, Schadow, McCoy. A Recommendation Algorithm for Automating Corollary Order Generation. November 2009, AMIA Fall Symposium. [Ref]
- Poster: Klann, Schadow, McCoy. Learning from the Crowd: Integrating local standards of care into a CDSS system for medication orders. May 2008, AMIA Spring Congress.
Healthcare information systems: Healthcare presents a uniquely complex and time-constrained environment in which massive amounts of information must be presented to clinicians, and interactions with the computer must be fast and efficient. Yet most interfaces are cumbersome and do not utilize data intelligence. Google uses the search interface for applications such as a calculator, and Amazon uses past purchases to customize the display. The EHR could benefit from applications of this kind.
- Poster: Klann. Applications of Network Analysis to Clinical Data. Oct 2011, AMIA Fall Symposium 2011. [Abstract]
- Paper: Klann, Schadow. Modeling the Information-Value Decay of Medical Problems for Problem List Maintenance. Nov 2010, ACM International Health Informatics Symposium 2010. [Ref]
- Poster: Klann, Chang, McCoy. Building Search Functionality in an Electronic Medical Record System. November, 2010, AMIA Fall Symposium 2010 [Abstract]
- Poster: Klann, McCoy. Back to the future: revisiting the command line in conceptualizing EHR interfaces. December 2007, NSF Biomedical Informatics Workshop.
MIT CS and AI Laboratory (CSAIL): Clinical Decision Making Group (Fall 2006-Summer 2007)
Intelligent listening project: Medical note writing is cumbersome and time-consuming, and documentation requirements are increasing with the advent of EHRs. Additionally, notes are written without patient input, who could sometimes provide valuable insights into their disease which were missed during the interview. One desirable solution could be an 'intelligent office' which would listen to doctor-patient interactions (through microphones and voice recognition software) and interpret these into an editable, interactive draft of the note in real time (through medical natural language processing).
- Paper: Klann, Szolovits. An Intelligent Listening Framework for Capturing Encounter Notes from a Doctor-Patient Dialog. BMC Medical Informatics and Decision Making, Volume 9, Supplement 1, 2009. [Ref]
- Paper: Klann, Szolovits. An Intelligent Listening Framework for Capturing Encounter Notes from a Doctor-Patient Dialog. IEEE Bioinformatics and Biomedicine: Workshop on Biomedical and Health Informatics, Conference Proceedings, Nov. 2008. [Ref]
- Course paper: Klann. Intelligent Listening: 6.872 Final Project. Fall 2006.
Laboratory informatics:
MIT Microsystems Technology Laboratory (MTL): Operations Dept. Research Assistant (2002)
Research and design of a module for multi-institution extensible laboratory management software, using Java, SQL, XML, CORBA: "run manager" module, which collects machine-usage data in a flexible, generic, configurable way.
- Thesis: Run Manager Module for CORAL Laboratory Management. MIT Master's Thesis, June 2003. [Ref]
Social informatics:
MIT Media Laboratory: Epistemology and Learning Group (Fall 1999-Spring 2001)
Utilizing portable electronic devices to produce and analyze social behavior in a playful environment. Design and implementation of kid-friendly language and GUI; collection, analysis, and visualization of social-interaction data.
- Paper: Borovoy, Silverman, Gorton, Klann, Notowidigdo, Knep, Resnick. Folk Computing: Revisiting Oral Tradition as a Scaffold for Co-Present Communities. Computer-Human Interaction Conference Proceedings, 2001. [Ref]
- Thesis: Klann. Data Mastermind of the Information Ball. MIT Undergraduate Thesis, June 2001.
- Unpublished document: "iBall" technology overview.
Software Projects:
- PeBL exporter: PeBL is a simple, elegant, open-source Bayesian structure learning toolkit written in Python and Numpy. I have written a .DNET exporter, which will save a PeBL network in a format compatible with Netica, Genie, and several other Bayesian inference packages. A conditional-independence chi-squared test (not well tested) is also available here.
- More to come as I clean up some code from my dissertation.
- PeBL exporter: PeBL is a simple, elegant, open-source Bayesian structure learning toolkit written in Python and Numpy. I have written a .DNET exporter, which will save a PeBL network in a format compatible with Netica, Genie, and several other Bayesian inference packages. A conditional-independence chi-squared test (not well tested) is also available here.
- More to come as I clean up some code from my dissertation.
Design and implementation by Jeff Klann in HTML/CSS/PHP, except the tooltip script and tooltip stylesheet, which are under copyright by The Nucleus Group. Thanks also to Nucleus CMS for inspiring this site's look-and-feel.