AIMC Topic: Drug Prescriptions

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Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy.

Journal of evaluation in clinical practice
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispen...

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Increasing learning ability from massive medical data and building learning methods robust to data quality issues are key factors toward building data-driven clinical decision support systems for medicine prescription decision support. Here, we attem...

Deep Learning Solutions for Classifying Patients on Opioid Use.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Opioid analgesics, as commonly prescribed medications used for relieving pain in patients, are especially prevalent in US these years. However, an increasing amount of opioid misuse and abuse have caused lots of consequences. Researchers and clinicia...

Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks.

Artificial intelligence in medicine
Patients with type 2 diabetes mellitus are generally under continuous long-term medical treatment based on anti-diabetic drugs to achieve the desired glucose level. Thus, each patient is associated with a sequence of multiple records for prescription...

Primary Care Provider Perceptions and Practices Regarding Dosing Units for Oral Liquid Medications.

Academic pediatrics
INTRODUCTION: To prevent errors, health care professional and safety organizations recommend using milliliters (mL) alone for oral liquid medication dosing instructions and devices. In 2018, for federal incentives under the Quality Payment Program, o...

Identifying Drug-Drug Interactions by Data Mining: A Pilot Study of Warfarin-Associated Drug Interactions.

Circulation. Cardiovascular quality and outcomes
BACKGROUND: Knowledge about drug-drug interactions commonly arises from preclinical trials, from adverse drug reports, or based on knowledge of mechanisms of action. Our aim was to investigate whether drug-drug interactions were discoverable without ...

An end-to-end hybrid algorithm for automated medication discrepancy detection.

BMC medical informatics and decision making
BACKGROUND: In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a...

Chronic Pain Prevalence, Opioid Use, and Primary Care Provider Opioid Prescription Patterns in the U.S. from 2017 to 2019 Derived from Medicaid Claims Data.

Studies in health technology and informatics
Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial healthcare costs and frequently requiring opioid therapy in primary care. This retrospective cross-sectional study used Medicaid claims data from six...