Position Summary This Research Assistant Professor Faculty position is in the Division of Medical Informatics, Department of Biostatistics, within the School of Medicine.

The division of medical informatics seeks highly motivated individuals with a passion for software development, scientific discovery, and improving healthcare. Be part of a rapidly growing team developing informatics to further translational research (KUMC just received a NIH Clinical and Translational Science Award beginning June 2011) and serving a dynamic community (Kansas City was selected by Google as the first ultra high-speed fiber connected community).

Responsibilities will include developing informatics infrastructure capabilities, conducting research, and especially collaborative research. The position is expected to engage in collaborative research with other faculty from programs and departments within the School and University. The candidate will also be expected to collaborate with the State of Kansas and affiliate organizations such as the University of Kansas Hospital. The candidate may also be expected to teach courses for graduate students in biostatistics and other disciplines.

Key Roles and Responsibilities:

• Work as an independent informatician to provide collaborate research support related to the development of informatics solutions for KUMC researchers and affiliates.

• Possess the ability to design/develop key components of the informatics infrastructure, including terminology, data models, knowledge resources, dynamic end-user interfaces, and aggregations of data designed to support research.
• Participate in team based software development and system management.
• Evaluate clinical and research information systems and interventions at KUMC and affiliate organizations.
• Contribute to the writing of grants to support new projects and the writing of manuscripts to publish findings from ongoing project and system evaluations.
• Teach informatics courses for graduate students in biostatistics and other disciplines.
• Perform other duties as may be assigned by the division director or chair.

Required Qualifications:

PhD., M.D., or D.O. and training in biomedical informatics through advanced degree programs, fellowship training, or comparable experiences in knowledge management, clinical decision support, translational informatics and relevant informatics standards. The ability to promote effective teamwork in a rapidly changing multidisciplinary research environment. Superior interpersonal and communications skills as demonstrated by excellence in speaking, writing and listening. Informatics research experience with clinical, public health, and medical administrative systems.

Preferred Qualifications:

The individuals expertise should draw from the broader field of biomedical informatics to complement and expand the department's capabilities. Desirable experiences and domains include: clinical information system and clinical decision support public health informatics quantitative/qualitative informatics evaluation methods statistics, biostatistics and quality management methods Database and application development HL7 data integration/system architecture ontology management (UMLS, LOINC, SNOMED, FDB, RxNORM) data warehousing; the division's HERON clinical repository utilizes i2b2 (over 500 million observations) to store information from our affiliate clinical organizations clinical research informatics; both Velos and REDCap are used for clinical research information systems knowledge discovery and statistical learning methods natural language processing laboratory/pathology information systems especially in support of tissue management and cancer research

Feel free to contact me, rwaitman@… to learn more, visit the rest of this wiki to learn about our work.  Or, just go ahead and apply for ​position M0203705: Research Assistant Professor in Medical Informatics.

In this release the long-standing race/ethnicity issue is resolved. Previously, both were erroneously combined. With this fix, race and ethnicity can be searched individually.

HERON Clinton Contents Summary

This month, our tour of ​rivers and lakes in Kansas honors lake Clinton.

The HERON repository contains approximately 600 million real observations from the hospital, clinics, and research systems:

Beta Disclaimer

We are providing this early access to obtain feedback from you, the research community. While we are actively working on validating the data loaded into the system with hospital and clinic technical staff, there may be problems with our translation of data from our source systems (HospitalEpicSource and ClinicIdxSource) into HERON.

Please email us at heron-admin@kumc.edu if you discover information you believe may be erroneous.

We are actively working on enhancing the types of data included. Stay tuned to our roadmap to track progress toward upcoming releases.

Various Issues Still Apply

Keep in mind the issues noted in the original HERON beta notice, including:

• date shifting, part of our DeIdentificationStrategy
• age searching (#158)

Enhancements and Problems/Defects/Issues Addressed in this Release

No results

Outstanding Problems/Defects/Issues

The highlights for this release include:

• interactive cancer survival analysis plotting plug-in, building on our initial tumor registry integration.

• "same visit" queries (#790), building on our initial i2b2 1.6 upgrade

Our cancer survival analysis plug-in is based on work by Segagni et. al.:

• J Am Med Inform Assoc. 2011 May 1;18(3):314-7. Epub 2011 Jan 24. ​R engine cell: integrating R into the i2b2 software infrastructure. Segagni D, Ferrazzi F, Larizza C, Tibollo V, Napolitano C, Priori SG, Bellazzi R.
  • ​i2b2-r-engine-project on google code
  • ​R Engine Cell in Orbit

HERON Bow Creek Contents Summary

This month, our tour of ​rivers and lakes in Kansas honors Bow Creek river.

The HERON repository contains approximately 600 million real observations from the hospital, clinics, and research systems:

Beta Disclaimer

We are providing this early access to obtain feedback from you, the research community. While we are actively working on validating the data loaded into the system with hospital and clinic technical staff, there may be problems with our translation of data from our source systems (HospitalEpicSource and ClinicIdxSource) into HERON.

Please email us at heron-admin@kumc.edu if you discover information you believe may be erroneous.

We are actively working on enhancing the types of data included. Stay tuned to our roadmap to track progress toward upcoming releases.

Various Issues Still Apply

Keep in mind the issues noted in the original HERON beta notice, including:

• date shifting, part of our DeIdentificationStrategy
• age searching (#158)

Enhancements and Problems/Defects/Issues Addressed in this Release

No results

Outstanding Problems/Defects/Issues