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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

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
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Individual control of sensitive health information is a matter of great concern to patients, practitioners, insurers and policymakers. Federal and state law generally supports consent approaches that allow patients to share all or none of their health data. However, research demonstrates that patients prefer more detailed control of their personal

Individual control of sensitive health information is a matter of great concern to patients, practitioners, insurers and policymakers. Federal and state law generally supports consent approaches that allow patients to share all or none of their health data. However, research demonstrates that patients prefer more detailed control of their personal data sharing. In particular, little is known about data sharing preferences of patients with behavioral health conditions (BHCs). This study will explore the technical feasibility of supporting patient-driven, consent-based data access through a preliminary analysis of data collected from the My Data Choices e-consent tool. Through these findings, this research seeks to inform stakeholders about the clinical, ethical, policy, and regulatory implications of broader consent choices.
ContributorsKaing, Tina C. (Author) / Grando, Maria Adela (Thesis director) / Murcko, Anita (Committee member) / College of Health Solutions (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-12