Anna Zink
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View article: Prescription Use and Spending After the Introduction of a Real-Time Prescription Benefit Tool
Prescription Use and Spending After the Introduction of a Real-Time Prescription Benefit Tool Open
Importance Real-time prescription benefit (RTPB) tools provide point-of-care information for clinicians at the time of prescribing and may reduce prescription costs for patients and payers. Objective To assess trends in prescription use an…
View article: Exploring Industrial Text Data for Monitoring Chemical Manufacturing Processes
Exploring Industrial Text Data for Monitoring Chemical Manufacturing Processes Open
To address the limitations of traditional sensing instrumentation in industrial processes, this work explores the use of industrial text data. Given that current instrumentation often fails to capture the full scope of process-related info…
View article: Deep Causal Behavioral Policy Learning: Applications to Healthcare
Deep Causal Behavioral Policy Learning: Applications to Healthcare Open
We present a deep learning-based approach to studying dynamic clinical behavioral regimes in diverse non-randomized healthcare settings. Our proposed methodology - deep causal behavioral policy learning (DC-BPL) - uses deep learning algori…
View article: Advancing Healthcare AI Governance: A Comprehensive Maturity Model Based on Systematic Review
Advancing Healthcare AI Governance: A Comprehensive Maturity Model Based on Systematic Review Open
Artificial Intelligence (AI) deployment in healthcare is accelerating, yet comprehensive governance frameworks remain fragmented and often assume extensive resources. Through a systematic review of 22 frameworks published between 2019-2024…
View article: Race adjustments in clinical algorithms can help correct for racial disparities in data quality
Race adjustments in clinical algorithms can help correct for racial disparities in data quality Open
Despite ethical and historical arguments for removing race from clinical algorithms, the consequences of removal remain unclear. Here, we highlight a largely undiscussed consideration in this debate: varying data quality of input features …
View article: Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review
Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review Open
In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from discriminating against individuals when using …
View article: Race Corrections in Clinical Algorithms Can Help Correct for Racial Disparities in Data Quality
Race Corrections in Clinical Algorithms Can Help Correct for Racial Disparities in Data Quality Open
Despite ethical and historical arguments for removing race corrections from clinical algorithms, the consequences of removal remain unclear. An important and underdiscussed consideration in this debate is the fact that medical data quality…
View article: Improving the Performance of Risk Adjustment Systems
Improving the Performance of Risk Adjustment Systems Open
Modifications of risk-adjustment systems used to pay health plans in individual health insurance markets typically seek to reduce selection incentives at the individual and group levels by adding variables to the payment formula. Adding va…
View article: Fair regression for health care spending
Fair regression for health care spending Open
The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage fo…
View article: Fair Regression for Health Care Spending
Fair Regression for Health Care Spending Open
The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage fo…
View article: Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis
Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis Open
We show that information from Internet-based data sources, when combined using an informed, robust methodology, can be effectively used as early indicators of influenza activity at fine geographic resolutions.