Latest AI and machine learning research in reimbursement for healthcare professionals.
The proportion of robotic procedures continues to rise. The literature reinforces that robotic proc...
Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden card...
BACKGROUND: Clinical notes record the health status, clinical manifestations and other detailed info...
BACKGROUND: Computer-assisted clinical coding (CAC) based on automated coding algorithms has been ex...
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including var...
Patient satisfaction is a key performance indicator of patient-centered care and hospital reimbursem...
There is a well-established tradition within the statistics literature that explores different techn...
Conjunctival provocation test (CPT) is used to demonstrate clinical relevance to a specific allerge...
INTRODUCTION: The 10th revision of the International Classification of Diseases (ICD-10) codes is fr...
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (...
The International Statistical Classification of Disease and Related Health Problems (ICD) is an inte...
We used insights from machine learning to address an important but contentious question: Is bilingua...
Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...
Artificial intelligence (AI) is one of the disruptive technologies of the fourth Industrial Revoluti...
BACKGROUND: Hospital readmissions are a key quality metric, which has been tied to reimbursement. On...
This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that o...
The application of machine learning (ML) for use in generating insights and making predictions on ne...
Accurate, automated extraction of clinical stroke information from unstructured text has several imp...
OBJECTIVE: This study aims to develop and evaluate effective methods that can normalize diagnosis an...
OBJECTIVE: Accurate coding is critical for medical billing and electronic medical record (EMR)-based...
BACKGROUND: Due to reimbursement tied in part to patients' perception of their care, hospitals conti...