Hospital-Based Medicine

[Big data and deep learning in preventive and rehabilitation medicine].

The digitalization in medicine has led to almost universal availability of information to different healthcare professionals and accelerated clinical pathways. Fast-track concepts and short hospital stays require intelligent and practicable systems in preventive and rehabilitation medicine. This includes optimization of movement analysis by innovative tools such as detectors sensing skin movements...

Same-Day Conventional Different-Day Endoscopic Retrograde Cholangiopancreatography and Laparoscopic Cholecystectomy: A Multi-Center Retrospective Study.

Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potentially reduce hospital length of stay (HLOS). Patients undergoing same-day procedures (N = 164) between 2012 and 2014 were compared with different-day procedures performed in the second half of 2014 (N = 276), in the Kaiser Permanente Southern California database. Both groups had comparable baseline ...

Treatment of Chylothorax with Pleurodesis (A Lesser Known Complication of Behçet's Disease): A Case Report.

Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral mucosae and often reoccurs intermittently. Chylot...

Robotic and Sensor Technology for Upper Limb Rehabilitation.

Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for motor learning and is recommended in many national...

Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.

The intrinsic relationship between fluid volume and open wound size (%) has not been previously examined. Therefore, we conducted this study to invest...

Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital.

Medical images have become increasingly important in clinical practice and medical research, and the need to manage images at the hospital level has b...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted surgery is gaining in importance. Up to now there ...

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.

Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve patient triage and prompt conversations about patie...

Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of...

Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study.

Clinical scoring systems have been developed for many specific applications, yet they remain underutilized for common reasons such as model inaccuracy...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...

An intelligent algorithm for optimizing emergency department job and patient satisfaction.

Purpose Resilience engineering, job satisfaction and patient satisfaction were evaluated and analyzed in one Tehran emergency department (ED) to deter...

Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving ICU performance. Existing risk adjustment algorithm...

Effect of intraoperative mannitol administration on acute kidney injury after robot-assisted laparoscopic radical prostatectomy: A propensity score matching analysis.

Mannitol, an osmotic diuretic, has been used to prevent acute kidney injury (AKI). However, studies have found divergent effects of intraoperative man...

Barriers to staff reporting adverse incidents in NHS hospitals.

Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), although it is a pillar of risk management, has a ...

[Technical advancement in surgical treatment of portal hypertension].

Recently, there have been many developments and improvements in portal hypertension surgery, but there are still many controversies regarding the surg...

Can AI Truly Transform Health Care?: A Recent IEEE Pulse on Stage Forum Offers Some Perspective.

As scholars have predicted and researchers have now shown, we are entering an age of global artificial intelligence (AI) convergence. Health care is j...

Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.

A diverse universe of statistical models in the literature aim to help hospitals understand the risk factors of their preventable readmissions. Howeve...

Estimating a Bias in ICD Encodings for Billing Purposes.

ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitment. However, "official" ICD encoded diagnoses used ...