Informatics Studies

Studies on the efficiency and deployment of informatics implementations.

US health care/academia Varies Current Project / Informatics

Objective
To develop and use evidence-based informatics applications in the practice of epidemiology and public health.
Impact
  • Development of unique, elegant study designs promote evidence-based choices of informatics implementations in health care and health research
  • Creative approaches to public health, medical and research informatics through innovative techniques of requirements gathering and curation
  • Emphasis on efficiency, cost-control, decision support and iteration, rapid development, and a regular stream of deliverables
  • Role modeling and mentorship in high quality management approaches focused on mindfulness, employee-centeredness, open communication, appropriate work/life and relationship boundaries, privacy and kindness
Coding algorithm flow chart.
Company Role

Epi-informatics

  • A subfield of public health informatics focused on applying approaches in informatics to the practice of epidemiology.
  • Responsible for the development of many new, evidence-based epi-informatics approaches
  • Design, development, testing, and administration of research informatics databases (“Data Coordinating Center”)
  • Rare expertise in data documentation, data flow diagramming, project management in epidemiology, and data curation
2 by 2 table

Pathology Informatics

FISH chip
  • Quality control and patient safety research
  • Analysis of laboratory workflow
  • Bioinformatics with cytokines, proteomics, genomics
  • Medical education and training
  • Transfusion and blood banking
Pap smear

Military Informatics

Military woman at computer
Related Publications
  • In 2002, some lots for a gonorrhea assay did not meet quality control standards and were recalled.
  • Our analysis showed that there was no difference in distribution of patient results in recalled lots compared to the distribution of patient results from  non-recalled lots.
  • We developed an app on a Palm Pilot to assist pathology trainees in remembering which elements to include for each diagnosis in their pathology reports.
  • Use of the app was associated with more complete pathology reports, as well as other outcomes suggesting that the app improved learning.
  • We conducted a reliability study to estimate rates of data entry error using manual single entry vs. Teleforms software.
  • We found error rates to be significantly lower for manual single entry.
  • Data entry error rates should be estimated based on pilot studies prior to selecting a data entry approach for a study.
Photos courtesy of the NASA, UK National Archives, Fleshas, SarahStierch, Grj23, US Navy, Vjsieben, Cancer.gov, US Air Force, and National Institutes of Health. Page updated July 8, 2015.