Search Results - "Kuza, Courtney C."

Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study by Lo-Ciganic, Wei-Hsuan, Huang, James L, Zhang, Hao H, Weiss, Jeremy C, Kwoh, C. Kent, Donohue, Julie M, Gordon, Adam J, Cochran, Gerald, Malone, Daniel C, Kuza, Courtney C, Gellad, Walid F

“…Objective To develop and validate a machine-learning algorithm to improve prediction of incident OUD diagnosis among Medicare beneficiaries with [greater than…”
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Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach by Lo-Ciganic, Wei-Hsuan, Donohue, Julie M, Hulsey, Eric G, Barnes, Susan, Li, Yuan, Kuza, Courtney C, Yang, Qingnan, Buchanich, Jeanine, Huang, James L, Mair, Christina, Wilson, Debbie L, Gellad, Walid F

“…Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to…”
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Sponsorship and Funding for Gene Therapy Trials in the United States by Kassir, Zachary, Sarpatwari, Ameet, Kocak, Brian, Kuza, Courtney C, Gellad, Walid F

“…This study characterizes government, academia, and private funding for gene therapy trials in the United States by technology type and therapeutic and disease…”
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A New Safe Harbor — Turning Drug Rebates into Discounts in Medicare Part D by Gellad, Walid F, Ennis, Molly, Kuza, Courtney C

“…A proposal to require drug companies to pass discounts directly to Medicare patients at the point of sale would fundamentally change the role of medication…”
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Determinants of Intensive Care Unit Telemedicine Effectiveness. An Ethnographic Study by Kahn, Jeremy M, Rak, Kimberly J, Kuza, Courtney C, Ashcraft, Laura Ellen, Barnato, Amber E, Fleck, Jessica C, Hershey, Tina B, Hravnak, Marilyn, Angus, Derek C

“…Telemedicine is an increasingly common care delivery strategy in the ICU. However, ICU telemedicine programs vary widely in their clinical effectiveness, with…”
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ICU Telemedicine and Critical Care Mortality: A National Effectiveness Study by Kahn, Jeremy M., Le, Tri Q., Barnato, Amber E., Hravnak, Marilyn, Kuza, Courtney C., Pike, Francis, Angus, Derek C.

“…BACKGROUND:Intensive care unit (ICU) telemedicine is an increasingly common strategy for improving the outcome of critical care, but its overall impact is…”
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Effective Care Practices in Patients Receiving Prolonged Mechanical Ventilation. An Ethnographic Study by Rak, Kimberly J, Ashcraft, Laura Ellen, Kuza, Courtney C, Fleck, Jessica C, DePaoli, Lisa C, Angus, Derek C, Barnato, Amber E, Castle, Nicholas G, Hershey, Tina B, Kahn, Jeremy M

“…Patients receiving prolonged mechanical ventilation experience low survival rates and incur high healthcare costs. However, little is known about how to…”
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Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions by Lo-Ciganic, Wei-Hsuan, Huang, James L, Zhang, Hao H, Weiss, Jeremy C, Wu, Yonghui, Kwoh, C Kent, Donohue, Julie M, Cochran, Gerald, Gordon, Adam J, Malone, Daniel C, Kuza, Courtney C, Gellad, Walid F

“…Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk. To develop and validate a…”
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Development and validation of an overdose risk prediction tool using prescription drug monitoring program data by Gellad, Walid F., Yang, Qingnan, Adamson, Kayleigh M., Kuza, Courtney C., Buchanich, Jeanine M., Bolton, Ashley L., Murzynski, Stanley M., Goetz, Carrie Thomas, Washington, Terri, Lann, Michael F., Chang, Chung-Chou H., Suda, Katie J., Tang, Lu

“…To develop and validate a machine-learning algorithm to predict fatal overdose using Pennsylvania Prescription Drug Monitoring Program (PDMP) data. The…”
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Changes in predicted opioid overdose risk over time in a state Medicaid program: a group‐based trajectory modeling analysis by Guo, Jingchuan, Gellad, Walid F., Yang, Qingnan, Weiss, Jeremy C., Donohue, Julie M., Cochran, Gerald, Gordon, Adam J., Malone, Daniel C., Kwoh, C. Kent, Kuza, Courtney C., Wilson, Debbie L., Lo‐Ciganic, Wei‐Hsuan

“…Background and Aims The time lag encountered when accessing health‐care data is one major barrier to implementing opioid overdose prediction measures in…”
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Predicting Mortality Risk After a Hospital or Emergency Department Visit for Nonfatal Opioid Overdose by Guo, Jingchuan, Lo-Ciganic, Wei-Hsuan, Yang, Qingnan, Huang, James L., Weiss, Jeremy C., Cochran, Gerald, Malone, Daniel C., Kuza, Courtney C., Gordon, Adam J., Donohue, Julie M., Gellad, Walid F.

“…Background Survivors of opioid overdose have substantially increased mortality risk, although this risk is not evenly distributed across individuals. No study…”
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Clinician Attitudes Toward Adoption of Pediatric Emergency Telemedicine in Rural Hospitals by Ray, Kristin N, Felmet, Kathryn A, Hamilton, Melinda F, Kuza, Courtney C, Saladino, Richard A, Schultz, Brian R, Watson, R Scott, Kahn, Jeremy M

“…OBJECTIVEAlthough there is growing evidence regarding the utility of telemedicine in providing care for acutely ill children in underserved settings, adoption…”
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Occupational Patterns of Opioid-Related Overdose Deaths Among Arizona Medicaid Enrollees, 2008–2017 by Chalasani, Rohan, Lo-Ciganic, Wei-Hsuan, Huang, James L., Guo, Jingchuan, Weiss, Jeremy C., Kuza, Courtney C., Gellad, Walid F.

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Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study by Lo-Ciganic, Wei-Hsuan, Donohue, Julie M, Yang, Qingnan, Huang, James L, Chang, Ching-Yuan, Weiss, Jeremy C, Guo, Jingchuan, Zhang, Hao H, Cochran, Gerald, Gordon, Adam J, Malone, Daniel C, Kwoh, Chian K, Wilson, Debbie L, Kuza, Courtney C, Gellad, Walid F

“…Little is known about whether machine-learning algorithms developed to predict opioid overdose using earlier years and from a single state will perform as well…”
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Hospital Perceptions of Medicare's Sepsis Quality Reporting Initiative by Barbash, Ian J., Rak, Kimberly J., Kuza, Courtney C., Kahn, Jeremy M.

“…BACKGROUND In October 2015, the Centers for Medicare and Medicaid Services (CMS) implemented the Sepsis CMS Core Measure (SEP‐1) program, requiring hospitals…”
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Identifying Strategies for Effective Telemedicine Use in Intensive Care Units: The ConnECCT Study Protocol by Rak, Kimberly J., Kuza, Courtney C., Ashcraft, Laura Ellen, Morrison, Penelope K., Angus, Derek C., Barnato, Amber E., Hravnak, Marilyn, Hershey, Tina B., Kahn, Jeremy M.

“…Telemedicine, the use of audiovisual technology to provide health care from a remote location, is increasingly used in intensive care units (ICUs). However,…”
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Identifying Strategies for Effective Telemedicine Use in Intensive Care Units by Rak, Kimberly J, Kuza, Courtney C, Ashcraft, Laura Ellen, Morrison, Penelope K, Angus, Derek C, Barnato, Amber E, Hravnak Marilyn, Hershey, Tina B, Kahn, Jeremy M

“…Telemedicine, the use of audiovisual technology to provide health care from a remote location, is increasingly used in intensive care units (ICUs). However,…”
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