Background: Documentation of key times and events is required to obtain reimbursement for anesthesia services. The authors installed an information management system to improve record keeping and billing performance but found that a significant number of their records still could not be billed in a timely manner, and some records were never billed at all because they contained documentation errors.
Methods: Computer software was developed that automatically examines electronic anesthetic records and alerts clinicians to documentation errors by alphanumeric page and e-mail. The software's efficacy was determined retrospectively by comparing billing performance before and after its implementation. Staff satisfaction with the software was assessed by survey.
Results: After implementation of this software, the percentage of anesthetic records that could never be billed declined from 1.31% to 0.04%, and the median time to correct documentation errors decreased from 33 days to 3 days. The average time to release an anesthetic record to the billing service decreased from 3.0+/-0.1 days to 1.1+/-0.2 days. More than 90% of staff found the system to be helpful and easier to use than the previous manual process for error detection and notification.
Conclusion: This system allowed the authors to reduce the median time to correct documentation errors and the number of anesthetic records that were never billed by at least an order of magnitude. The authors estimate that these improvements increased their department's revenue by approximately $400,000 per year.
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http://dx.doi.org/10.1097/00000542-200701000-00025 | DOI Listing |
Pharmacoepidemiol Drug Saf
January 2025
Aetion Inc., New York, New York, USA.
Purpose: To characterize select laboratory tests ordered versus reported for patients diagnosed with COVID-19 in administrative healthcare and commercial laboratory data.
Methods: Among patients with an outpatient COVID-19 diagnosis claim in HealthVerity data (01/01/2021-12/31/2022), this study described baseline characteristics and descriptively compared SARS-CoV-2 diagnostic tests and liver function tests from administrative healthcare (insurance claims and hospital billing data) and commercial laboratories, overall and by code type (e.g.
Child Abuse Negl
January 2025
Johns Hopkins School of Medicine, United States of America. Electronic address:
Background: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We developed a machine learning model that uses demographic characteristics and ICD10 codes to detect the first diagnosis of NAT.
Methods: We analyzed data from the Maryland Health Services Cost Review Commission (2015-2020) for patients aged 0-19 years.
Am J Ind Med
January 2025
Occupational Cancer Research Centre, Ontario Health, Toronto, Ontario, Canada.
Introduction: Raynaud's phenomenon (RP) is linked to occupational exposures such as vibration, cold temperature, and chemicals. However, large cohort studies examining RP by occupation and sex are scarce. To address this gap, this study aimed to assess risk of RP by both occupation and sex in a large cohort of workers in Ontario, Canada.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Background: Individuals with opioid use disorder (OUD) have a high prevalence of co-occurring mental health disorders; however, there exists little information on mental health service use for this population. We aimed to determine the prevalence of non-substance use-related mental health emergency department (ED) visits, hospitalizations, and outpatient physician visits for individuals receiving treatment for OUD over one year. We also explored individual-level characteristics associated with mental health care service use and estimated the costs of this care.
View Article and Find Full Text PDFCan J Psychiatry
January 2025
Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Objective: To examine factors associated with high intensity physician-based mental health care services in a population-based sample of children and youth in Ontario, Canada.
Methods: Data from the 2014 Ontario Child Health Study (OCHS) were linked at the person-level to longitudinal health administrative databases containing physician contacts in outpatient settings, emergency departments and hospitals. Our analytical sample (15.
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