Apply for Job Job ID365017 LocationTwin Cities Job FamilySupplemental Employee Full/Part TimePart-Time Regular/TemporaryRegular Job Code0001 Employee ClassCivil Service Add to Favorite Jobs Email this Job About the Job Duties and Responsibilities: EPINET Clinical Data Entry (50%): -Coordinate with research and clinical staff in participating clinics (see position description for list) to identify patients in need of chart review. -Review electronic medical records (progress notes, charts, etc.) to obtain outcomes for Measurement Based Care standardized assessments. -Enter outcome data into MIRAH, an electronic data capture platform, in numerical and text-based formats. -Resolve assigned queries and errors within data reports to improve data quality. -Review data for inconsistencies or errors; work with the Database Manager, EPINET Project Manager, Psychometrists, and other team members to identify sources of inconsistencies or errors. -Record progress of medical record review in tracking spreadsheets; Provide regular updates to supervisor. -Adhere to best practices for information security in accordance with University Policy, local clinic policy, and HIPAA Laws. -Other tasks as assigned. Clinical Research Data Entry & Cleanup (45%): -Review original source documents to identify PHI and PII to be removed. This will include text as well as images. -Review data for inconsistencies or errors; resolve queries as they arise. -Adhere to best practices for information security in accordance with University Policy and HIPAA Laws. -Double check the de-identification of records completed by another team member as a quality check. -Record progress of participant record review in tracking spreadsheets. -Other tasks as assigned . Lab support tasks (5%): -Prepare materials for presentations, publications, and grants, such as figures or tables, providing data metrics (i.e., counts of data points), etc. -Other tasks as assigned Qualifications Required Qualifications: -High school diploma/GED equivalent with related experience -Excellent attention to detail -Good communication skills -Ability to work independently -Able to work 10-15 hours per week Preferred Qualifications: -Seeking BA/BS in Psychology, Neuroscience, or related field -Previous experience with data entry, or -Previous experience with human subjects research, or -Previous experience with clinical data / electronic medical records (e.g., worked in a clinical setting) About the Department Dr. Sophia Vinogradov, M.D., is the Principal Investigator of the Cognitive Training, Imaging, and Precision Psychiatry (CoTIPP) Lab. The CoTIPP lab has several ongoing research interests which require data entry support. The first primary project will involve clinical chart review for the Early Psychosis Intervention Network (EPINET) Project. EPINET supports an initiative known as Measurement Based Care for patients who have been diagnosed with a psychosis spectrum illness (such as schizophrenia). EPINET has five participating clinic sites: The University of Minnesota Physicians Department of Psychiatry - Riverside Clinic; The University of Minnesota Physicians NAVIGATE Program - St. Louis Park Clinic; The HOPE Program - Hennepin Healthcare; the Human Development Center - Duluth; and Radias Health. As part of this initiative, we have implemented standardized assessments as standard of care in the early psychosis treatment model. We have identified several patients who have data missing within the electronic data capture platform, and some of this data can be recovered through reading medical charts, such as progress notes. In some cases, data is present in the database, but it has errors in formatting, which is causing an error when we attempt to extract it. By entering this data into our Mirah platform (the electronic data capture platform used in Measurement Based Care activities) we will create a more robust dataset so that we can report this information to the Minnesota Department of Human ervices and the National Institutes of Mental Health. The second project will involve assisting a clinical research team in de-identifying study outcomes from a randomized clinical trial of cognitive training in early psychosis. This project is no longer enrolling, and we are cleaning up the data for creation of a final data set. The data will include text and images which need to be reviewed to remove or redact any personal health information or personal identifying information, such as names, contact information, faces, and so on. There will be another person assigned to this project, and the team will cross check each other's work to ensure accuracy and quality of work. This role will require a high attention to detail and organization, good communication skills, and the ability to work independently. The data that is accessed in these projects will require significant caution due to the sensitivity of the data, and University Policy, clinic policies, and HIPAA Laws must be adhered to. Training in Good Clinical Practices for Research, Data and Information Security, and Electronic Medical Systems will be provided. How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. 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