Matching Items (3)
Filtering by
- All Subjects: Opioids
- All Subjects: Informatics
- All Subjects: Therapy
- Creators: Biomedical Informatics Program
Description
Prescription opioid abuse has become a serious national problem. To respond to the opioid epidemic, states have created prescription drug monitoring programs (PDMPs) to monitor and reduce opioids use. We conducted a systematic literature review to better understand metrics used to quantify the effect that PDMPs have had on reducing opioid abuse, and solutions and challenges related to the integration of PDMPs with EHRs. Lessons learned can help guide federal and state-based efforts to better respond to the current opioid crisis.
ContributorsPonnapalli, Aditya Somayajulu (Author) / Murcko, Anita (Thesis director) / Grando, Adela (Committee member) / Wertheim, Pete (Committee member) / Biomedical Informatics Program (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Glioblastoma (GBM) is an extremely malignant form of brain cancer characterized by rapid progression and poor patient survival. Even after standard of care treatments, less than ten percent of patients with this disease survive five years. More effective therapeutic options are urgently needed to improve outcomes for patients with GBM. Adequate drug delivery is a critical challenge in GBM treatment, as drugs delivered systemically must be able to penetrate the blood brain barrier (BBB) and reach the tumor at therapeutic levels. To address this, we developed a resource to catalog BBB penetration information for investigational agents currently in clinical trials in cancer. Using an in silico prediction model and manual annotation to capture existing knowledge from the published literature, BBB content for ~500 investigational drugs was added to the investigational database tool. In addition to BBB content, the database also includes information on the gene targets of the included therapies. The investigational database tool was used to identify investigational agents that (1) may have increased activity against GBM based on the presence of a specific mutation in the tumor sample and (2) have evidence suggesting the compounds may penetrate the BBB. By prioritizing investigational agents for further study based on evidence for BBB penetration, this resource can help the GBM research community pursue more effective treatments for GBM.
ContributorsHerring, Emily Lora (Author) / Coursen, Jerry (Thesis director) / Byron, Sara (Committee member) / Biomedical Informatics Program (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
With the recent rise in opioid overdose and death1<br/><br/>, chronic opioid therapy (COT) programs using<br/>Center of Disease Control (CDC) guidelines have been implemented across the United States8<br/>.<br/>Primary care clinicians at Mayo Clinic initiated a COT program in September of 2017, during the<br/>use of Cerner Electronic Health Record (EHR) system. Study metrics included provider<br/>satisfaction and perceptions regarding opioid prescription. Mayo Clinic transitioned its EHR<br/>system from Cerner to Epic in October 2018. This study aims to understand if provider perceptions<br/>about COT changed after the EHR transition and the reasons underlying those perceptions.
ContributorsPonnapalli, Sravya (Author) / Murcko, Anita (Thesis director) / Wallace, Mark (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05