Tag: 1/2/23

Inaccurate Anaesthesia Start Times Leading to Lost Revenue

Photo by Anna Shvets on Pexels

Inaccurately recording the start of anaesthesia care during a procedure is common and results in significant lost billing time for anaesthesia practices and medical centres, suggests a study being presented at the American Society of Anesthesiologists’ ADVANCE 2023, the Anesthesiology Business Event.

The anaesthesia start time (AST) must be documented from a computer logged into the electronic health record (EHR), and typically occurs once the patient is in the operating room (OR). However, the anaesthesiologist meets with the patient prior to their arrival in the OR and begins tasks that are vital to the procedure, such as administering pre-medication and attaching monitors, time which is is not typically recorded. Depending on the patient and procedure, adding two to five minutes to the AST when logging it would account for the preparation and transit time, researchers say.

“These seemingly minor inaccuracies of recorded AST can cost medical centres and anaesthesia practices hundreds of thousands of dollars in lost revenue,” said Nicholas Volpe Jr, MD, MBA, lead author of the study and an anaesthesiology resident physician at Northwestern University McGaw Medical Center, Chicago. “We suspect most anaesthesiologists are unaware that they aren’t recording AST accurately. It’s not a result of negligence, but rather reflects that workflow hasn’t been optimised for accuracy.”

For the study, the researchers analysed 40 312 procedures with anaesthesia over 12 months at a single academic centre. In 68.74% of cases , AST was recorded as starting once the patient was in the OR, without factoring in the preparation time. Using the national average charge for anesthaesia time, the missing time translated to over $600 000 in lost revenue for the year, the researchers determined.*

“Logging AST is one of the many new tasks that anaesthesiologists learn when starting a new role,” said Dr Volpe. “Transitioning from an internship to clinical anaesthesia practice involves learning a significant amount of new information, and understanding the importance of an accurately recorded AST may seem like a relatively minor issue compared to important patient-care information.”

Several approaches could help address inaccurate AST documentation, including educating anaesthesiologists on how to improve their AST recording practices and providing visual reminders such as signs in the OR, Dr Volpe said. Also, an AST capture function could be built into the EHR mobile application so that AST can be noted by anaesthesiologists on the way to the OR, or the EHR could automatically add two minutes to the AST log time, he said. The researchers plan to roll out some of those initiatives in the spring and determine if they are effective.

*The projected savings are theoretical and not linked to billing at the institution where the study was conducted. 

Source: American Society of Anesthesiologists

Preeclampsia Leads to 4x Higher Risk of MI in Decade after Delivery

Pregnant with ultrasound image
Source: Pixabay

Women with preeclampsia have a higher likelihood of heart attack and stroke than their peers within just seven years of delivery, with risks remaining elevated more than 20 years later. The study in more than one million pregnant women is published today in the European Journal of Preventive Cardiology, a journal of the ESC.

“The high risk of cardiovascular disease after preeclampsia manifests at young ages and early after delivery,” said study author Dr Sara Hallum of the University of Copenhagen. “This indicates that interventions to prevent heart attacks and strokes in affected women cannot wait until middle age when they become eligible for conventional cardiovascular screening programmes.”

Preeclampsia affects up to 8% of pregnancies worldwide, and signs include hypertension and albuminuria, which develop after 20 weeks of pregnancy or soon after delivery. Symptoms include severe headache, stomach pain and nausea. “Women may mistake these for ‘normal’ pregnancy symptoms and thus not seek medical help until the condition becomes severe,” said Dr Hallum. “Most cases are mild, but preeclampsia may lead to serious complications for the mother and baby if not treated in time.”

It is well established that preeclampsia predisposes women to an elevated likelihood of cardiovascular disease later in life. This was the first study to examine how soon after pregnancy these heart attacks and strokes manifest, and the magnitude of risk in different age groups.

National registers were used to identify all pregnant women in Denmark between 1978 and 2017. Women were grouped into those with one or more pregnancies complicated by preeclampsia and those with no preeclampsia. Participants were free of cardiovascular disease before pregnancy and with follow-up for heart attack and stroke up to 39 years later. Dr Hallum said: “This allowed us to evaluate exactly when cardiovascular disease occurs in women with and without pre-eclampsia, and to estimate risk in different age groups and at various durations of follow-up.”

Up to 2% of those with pre-eclampsia in their first pregnancy had a heart attack or stroke within 20 years of delivery, compared with up to 1.2% of unaffected women. Differences in risk became apparent seven years after delivery. “A 2% incidence of acute myocardial infarction and ischaemic stroke should not be accepted as the cost of a pregnancy complicated by preeclampsia, particularly considering the young age of these women when they fall ill (below 50 years of age),” states the paper.

Overall, women with pre-eclampsia were four times more likely to have a heart attack and three times more likely to have a stroke within 10 years of delivery than those without pre-eclampsia. The risk of heart attack or stroke was still twice as high in the preeclampsia group more than 20 years after giving birth compared to unaffected women.

When the researchers examined the risk of cardiovascular disease according to age, they found that women aged 30 to 39 years with a history of preeclampsia had five- and three-fold higher rates of heart attack and stroke, respectively, than those of similar age with no history of pre-eclampsia. The raised likelihood of cardiovascular disease in those with a history of pre-eclampsia persisted throughout adulthood, with women over 50 years of age still at doubled risk compared to their peers with no history of the pregnancy complication.

Dr Hallum said: “Women are often in contact with the healthcare system during and immediately after pregnancy, providing a window of opportunity to identify those at increased risk of cardiovascular disease. The number of women with previous pre-eclampsia is large, and routine follow-up could last years or even decades. Our study suggests that the women most likely to benefit from screening are those who had pre-eclampsia after age 35 and those who had it more than once. Prevention should start within a decade of delivery, for example by treating high blood pressure and informing women about risk factors for heart disease such as smoking and inactivity.”

Source: European Society of Cardiology

A Handheld Terahertz Scanner Could Accurately Assess Burns

Ambulance
Photo by Camilo Jimenez on Unsplash

Researchers have developed a handheld terahertz (THz) wave imaging device to assess burns faster and more accurately than current methods. The new device uses neural network model that uses terahertz time-domain spectroscopy (THz-TDS) data for non-invasive burn assessment.

“It is important for healthcare professionals to accurately assess the depth of a burn to provide the most appropriate treatment,” said research team leader M. Hassan Arbab from Stony Brook University. “However, current methods of burn depth evaluation, which rely on visual and tactile examination, have been shown to be unreliable, with accuracy rates hovering around 60–75%. Our new approach could potentially improve the accuracy of burn severity assessments and aid in treatment planning.”

THz-TDS uses short pulses of terahertz radiation, which lies between infrared and microwave wavelengths, to probe a sample. It is being examined for assessing burn injuries because physical changes caused by a burn will produce alterations in the skin’s terahertz reflectivity.

In the journal Biomedical Optics Express, the researchers reported that their artificial neural network classification algorithm was able to accurately predict the ultimate healing outcome of in vivo burns in an animal study with 93% accuracy. Their method needs much less training data, potentially making it more practical to process big data sets obtained over large clinical trials.

“In 2018, approximately 416 000 patients were treated for burn injuries in emergency departments in the United States alone,” said Arbab. “Our research has the potential to significantly improve burn healing outcomes by guiding surgical treatment plans, which could have a major impact on reducing the length of hospital stays and number of surgical procedures for skin grafting while also improving rehabilitation after injury.”

Better burn assessment

Various technologies have been developed to improve burn assessment, but they haven’t been widely adopted in the clinic due to drawbacks such as long acquisition times, high costs and limited penetration depth and field of view. Although THz-TDS looks promising for burn assessment, early demonstrations were limited to point spectroscopy measurements, which don’t account for burn heterogeneity and spatial variations. THz spectroscopy setups also tend to be bulky and difficult to set up.

“To address these challenges, we developed the portable handheld spectral reflection (PHASR) scanner, a user-friendly device for fast hyperspectral imaging of in vivo burn injuries using THz-TDS,” said Arbab. The device allows for “rapid imaging of a 37 x 27 mm2 field of view in just a few seconds.”

Previously, the researchers used numerical methods to extract features from the THz-TDS images and machine learning techniques to estimate the severity grade of in vivo burn injuries using measurements from the PHASR scanner. However, this approach did not consider the physical dynamics and macroscopic changes of the dielectric permittivity of burned skin tissue. Dielectric permittivity describes how a material responds to an electric field, and the researchers used Debye theory to explain how biological material interacts with THz waves.

The researchers tested their method by using the PHASR scanner to obtain spectroscopic images of skin burns and measure the permittivity of the burns. The researchers used this data to create a neural network model based on labelled biopsies. The model estimated the severity of the burns with an average accuracy rate of 84.5% and predicted the outcome of the wound healing process with an accuracy rate of 93%.

The researchers note that clinical testing of both the technique and the handheld imaging device are needed before this technique could be integrated into the existing workflow of clinical burn assessment.

Source: Optica

New Mathematical Model for Potassium Homeostasis

Blood samples
Photo by National Cancer Institute on Unsplash

Potassium is essential to normal cellular function, helping the cardiac muscle work correctly and aids in the transmission of electrical signals within cells. A new mathematical model published in PLOS Computational Biology sheds light on the often mysterious process of potassium homeostasis.

Using existing biological data, researchers at the University of Waterloo built a mathematical model that simulates how an average person’s body regulates potassium, both in times of potassium depletion and during potassium intake. Because so many foods contain abundant potassium, the body is continually storing, deploying, and disposing of potassium to keep it in a healthy range, ie the process of potassium homeostasis. Understanding potassium homeostasis is essential in helping diagnose the source of the problem when something goes wrong, for example, when kidney disease or medication leads to dysregulation.

“Too much potassium in the body, or hyperkalaemia, can be just as dangerous as hypokalaemia, or too little,” said study lead author Melissa M. Stadt, a PhD student in applied mathematics. “Dysregulation of potassium can lead to dangerous and potentially fatal consequences.”

The model could be used for a virtual patient trial, allowing researchers to generate dozens of patients and then predict which ones would have hyper- or hypokalaemia based on different controls.

“A lot of our models are pieces of a bigger picture,” said Anita Layton, professor of applied mathematics and Canada 150 Research Chair in mathematical biology and medicine. “This model is one new and exciting piece in helping us understand how our incredibly complex internal systems work.”

The model is especially exciting because it allows scientists to test the muscle-kidney cross-talk signal hypothesis. Scientists have hypothesised that skeletal muscles, which store most of the body’s potassium, can directly signal to the kidneys to dump potassium when there’s too much stores, and vice versa. When the mathematical researchers tested the hypothesis in their model, it more accurately reflected existing biological data regarding potassium homeostasis, suggesting that muscle-kidney cross talk might be an essential piece in the puzzle of potassium regulation.

Source: University of Waterloo