Dose Index Tracking System (William Pavlicek)

Dose Index Tracking System (William Pavlicek) Extending Dose Index Tracking system with multiple modalities Radiology Informatics - Automated System Development to Improve Efficiency, Safety and Quality in Radiology As the director of Intelligent Decision Systems Laboratory at School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Dr. Wu has over 10 years experience in informatics and decision support. For this project, Dr. Wu will advise 1 Ph.D. student to work closely with Department of Radiology to 1. Analyze data gathered from exam baseline from physicians and compare information concerning scheduling efficiency, frequency of an imaging test recommending a second imaging test, # of times a patient has follow-up imaging outside Mayo Clinic. 2. Create an automated computer program to identify when a secondary test is recommended and alert a scheduler in order to schedule the follow-up exam. 3. Conduct workflow analysis 4. Develop a system to mine the imaging archive to product up to date tabulations of number of imaging exams using ionizing radiation, cumulative dose measures. 5. Create an alert mechanism for ensuring patient centric quality assurance Development of Dosimetric Data Mining Capability for Mayo Clinic Radiation Oncology Proton Program Statement of Work Teresa Wu, Ph.D. Jing Li, Ph.D. Arizona State University As the director and co-director of ASU-Mayo Medical Imaging Informatics Laboratory at School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Dr. Wu has over 12 years research experience in decision support and informatics. Dr. Li has over 6 years experience in developing big data analytics. For this project, Drs. Wu and Li will advise one Ph.D. student to 1. automated query dose information from radiation therapy database 2. implemen dosimetry analysis algorithms 3. conduct data mining experiments to identify the associations between dosimetry metrics and patient outcomes. Developing Online System to Improve Patient Safety Statement of Work Teresa Wu, Ph.D. Arizona State University As the director of Collaborative Decision and Informatics Laboratory at School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Dr. Wu has over 12 years research experience in decision support and information system. For this project, Dr. Wu will advise one Master student to develop patient safety event report system from Aug, 2013 Dec. 2013. Specifically, the system is a web application with real time connecting to SERF database housed in Mayo Clinic Rochester. The GUI of the web application should provide the following 5 functions: 1. Summary display of days since last SERF event for each modality, an example display on this subject is shown as following: Days since last SERF event CT MRI Other Modality 2. By clicking on the SERF event, a drop down list showing the details of events in each category shall be shown. An example display is as the following: Details on SERF event CT MRI Other Modality Wrong Patient ID Wrong Image Label Wrong Standard Specimen Label Patient Fall Wrong Exam Wrong Dose 3. From the drop down list (in deliverable 2), by clicking on each specific event, a tip screen shall display what the best practice is to avoid this event. 4. Similar to 1, additional display on good catch per month for each modality shall be added. Note, other than the # of good catches, since the number of good catchers is not large, it is suggested to include the names of the good catchers in the display. An example is shown as following. Good Catches (#/month) CT MRI Other Modality # (name of the good catcher) 5. Create a rule based feedback display. For example, the administrator is able to set the rule on what stars (gold, silver, bronze) shall be awarded to what level of performance for what modality. For example, for CT, a gold star shall be awarded if the days of last SERF>100). MRI Tracker- Anshuman Panda Statement of Work Teresa Wu, Ph.D. Arizona State University As the director of Collaborative Decision and Informatics Laboratory at School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Dr. Wu has over 12 years research experience in decision support and information system. For this project, Dr. Wu will advise one master student over the Spring and the Summer of 2014 to accomplish the following tasks: Aim1: Build an MR-specific database: - Dynamic MR database which performs on the fly computations before storing the data in the main database. The goal is do all the computationally intensive work in the back end as the database is populated. - Provide a framework for quick and easy report generation mechanism for the MR Managers and Supervisors - Develop on the fly computational algorithms: Series tag parsing (for section/protocol identification), series delay time, series scan time, and scan duration - Database should be searchable based on DICOM tags (e.g. protocol name, sequence name, SAR etc) - Should provide capability to generate scanner-specific (i.e. individual scanner utilization) and combined (all MR scanner data combined) reports (see Aim 2) - Should be an open source database (e.g., MySQL) to reduce departmental overhead and maintenance Aim2: Develop/Generate MR Efficiency, Protocol Length and Patient Registry reports using Crystal Reports a web based interface: - Section specific scanner table time (Neuro, MSK, Body, Breast, Cardiothoracic, Research) - Protocol specific scanner table time (CORE, ADD-ON, and INV) - Patient safety registry report to track patients scanned under WIP (non-FDA approved) protocols - First scan of the day report - Scan duration report - Inter-patient wait time report - Inter-series wait time report - Scanner utilization report Department Data Depot ? Union Station (Amy Hara)