Tag: ai

What is a Smart Hospital?

Today’s smart hospital is not just a paperless organization with digitized charting. Although being digitized is an excellent start to a smart hospital, the process is much more advanced.

The goal of a smart hospital is better patient care while streamlining operational efficiency and costs. Three essential layers need to be addressed by a hospital to achieve the classification of a “smart” facility.

Step 1–Operations

Even though all hospitals gather information about their patients, operations, and management, a smart hospital takes gathering data to a different level.

In a smart hospital, analytic systems and software integrate all the information utilized by doctors, nurses, facility personnel, and administrators. A desktop, smartphone, or handheld device can access this information, resulting in faster, more efficient decision-making by key people.

With automated systems, the management of staff, pharmaceuticals, supplies, consumables inventory, assets, equipment, patients, and even visitors is controllable by the appropriate hospital teams. The process is cost-saving and efficient for the hospital and the patient.

To achieve these network-based services, hospitals with a large traffic volume and frequent environmental changes best utilize 5G or Wi-Fi 6 technology which is a step up for most hospital internet access.

Step 2–Clinical Tasks

The doctors’ and nurses’ efficiency depends on communication with departments like critical care, surgical, and technical (lab and X-ray) services.

A smart hospital improves patient outcomes by utilizing remote monitoring tools. Medical professionals can immediately monitor a patient’s vital signs, steps, heart rates, allergies, and lab results. The added communication also allows more patient input about likes, dislikes, and comfort zones. Smart hospitals will also utilize teleradiology services like Vesta in order to process more imaging interpretations remotely and efficiently.

 

INSIDE CANADA’S FIRST SMART HOSPITAL

Step 3-Patient Care

A patient’s room is very different within a smart hospital. A patient can access help through voice-based interactive devices to dim the lights, call a nurse, request pain medication, or make phone calls to loved ones—no more worries about a dropped call button on the floor.

The smart hospital design focuses on enhancing the healing process for faster recoveries by featuring open spaces and gardens. Children can also have specially designed areas for their comfort.

Caring robots in hospitals are providing added support in the facilities. Smart hospitals have programmed robots to perform surgeries; provide dementia care for the elderly; provide biofeedback for patient anxiety; transport supplies, blood, medication, meals, and garbage.

automation
Robots are reshaping hospitals

Hospitals have also programmed robots to provide care in quarantine isolation booths or entertain hospitalized children for a more positive emotional experience.

The Future

The future of smart hospital strategies is endless. The hospital environment and opportunities will continue to expand for the cost and convenience benefits of the hospital operations and its patients. The hospital will be able to extend most of the “smart” gifts to the patient’s home.

Patients will be able to take home smartwatches and other monitoring equipment for continued hospital care. More utilization of mobile monitoring equipment will allow the hospital to operate as intended–for emergencies, surgeries, and intensive care units–and will enable the patient to recover safely in the comfort of their home. And even more exciting is the future use of Artificial Intelligence to further enhance the benefits of the smart hospital.

 

Recent Advancements in Nuclear Medicine

The medical community is always looking for new and better ways to serve patients and save lives. Science, medicine, and technology often intersect to break barriers and create innovative new treatments – and nowhere is that truer than in the field of nuclear medicine.

What is Nuclear Medicine?

The National Institute of Biomedical Imaging and Bioengineering defines nuclear medicine as a specialty that uses radioactive tracers to diagnose and treat disease. Nuclear medicine is invaluable for patient care, as it can help detect disorders in the bones, gall bladder, heart, and much more.

advancements in nuclear medicine

This field has seen tremendous advancements in recent years, which offer the potential for incredible and life-saving benefits. Here are some of the latest developments in nuclear medicine.

Making AI More Effective

Artificial intelligence has been an integral part of medicine for decades, particularly in the realm of diagnostics. And now, new research suggests that nuclear medicine may make AI-based diagnostics even more effective.

radiology interpretations

For example, researchers in the Journal of Nuclear Medicine (JNM) suggest that nuclear imaging can help with machine learning and AI cancer diagnoses. This is because nuclear imaging creates a high contrast between tumors and normal tissue, making it much easier for the machine to identify abnormalities. Combining AI diagnostics with nuclear medicine can make the machines more accurate, which will ultimately result in better patient care over time.

Detecting Heart Disease

Radionuclide imaging has long been used to detect issues in patient heart function. However, researchers are beginning to explore new uses for this technology – including the examination of the heart’s very molecules.

Research from 2020 found that radionuclide imaging is successful at detecting cardiac amyloidosis, a rare condition in which a protein called amyloid is deposited in the cardiac muscle. Amyloid deposits can cause buildup over time and ultimately lead to heart failure, so it is very important to detect this condition as early as possible.

Discovering New Treatments

Nuclear medicine has many potential uses for imaging and diagnostics. However, it also offers many benefits for researchers.

For example, scientists at the Vanderbilt University Institute of Imaging Science recently used a radioligand (a radioactive substance used to study receptors in the body) to study whether an antioxidant called ERGO could penetrate the brain and protect against oxidative stress. The study successfully proved that ERGO can penetrate the brains of mice, which opens doors for further research on using this antioxidant to treat conditions like Alzheimer’s disease.

Nuclear medicine is always developing and advancing, and each advance makes it easier to give patients the care they deserve. 

 

Nuclear Radiology Readings

 

We are proud of our talented pool of teleradiologists who specialize in a variety of subspecialties, including nuclear radiology. If you’ would like to learn more about how we can integrate with your current workflow in order to provide preliminary and final interpretations, please contact us now at 1-877-55-VESTA

How AI is Making an Impact on Radiology and Imaging

The fields of science and medicine are always progressing. This progression intends to help both patients and providers.

Today, artificial intelligence (AI) is becoming common as a way to diagnose patients. It provides a more efficient way to collect and store information. The software can even analyze imaging to a high level of accuracy. This helps providers catch a problem that they may have missed before.

AI is a field that is advancing quickly. What progress have we seen in the past couple of years? What programs have we begun to put in place?

What Is Artificial Intelligence?

Artificial intelligence refers to highly advanced computers or computer-controlled robots. These computers are capable of performing incredibly complex tasks. Before, we thought these tasks could only be done by intelligent beings.

AI in imaging
AI is making advancements in the medical field

These computers are often associated with human characteristics. They seem to be able to reason and learn from past experiences.

How Is Artificial Intelligence Used For Diagnostic Imaging & Radiation?

Using AI in radiology and imaging has been gaining traction in the medical world. We use it largely to store and analyze data, helping physicians to make a prognosis. AI can store and analyze all a patient’s records. It can then make a diagnosis based on those records. The analysis is often far more accurate than what a human counterpart can do.

The use of AI is also helpful because of its storage capability. AI can have large imaging biobanks to hold more images than standard computers.

It also makes the lives of physicians easier by filtering patients by need. It can recommend appropriate diagnostic imaging based on the patient’s current records. It can also sort patients by priority in the case of an emergency.

What Advancements Have Been Made?

AI means to eliminate problems associated with human limitations. Traditional imaging takes a team of technicians. They must take the imaging as well as interpret it. This can be time-consuming. Plus, AI is able to analyze images with far greater accuracy than the human eye.

Radiomics

Radiomics is a tool that performs a deep analysis of tumors down to the molecular level. AI can perform radiomics with far better accuracy than the human eye or brain.

AI can analyze a specific region and extract over 400 elements. It then takes these features and correlates them with other data to form a diagnosis. The AI can analyze features from radiographs, CT, MRI, or PET studies.

Rapid Brain-Imaging AI Software

Hyperfine is the manufacturer of portable MRI machines. They are now creating these machines with new AI intelligence software. They believe that this new software will be able to perform brain scans in under 3 minutes.

AI-Generated Drugs

In 2020, an AI-created drug went to human clinical trials. The drug intends to treat OCD, and was designed entirely by AI. Exscientia is the manufacturer of the drug. They say that it normally takes about 4.5 years to get a new drug to this stage of testing. With AI generation, the drug got to the human clinical trial stage in under 12 months.

Making A Diagnosis

We stated earlier that AI is being used as a way to more efficiently diagnose patients. Still, relying entirely on AI to do this can complicate things and may be unwise.

So, the researchers of MIT’s Computer Science and Artificial Intelligence Lab worked to combat this. They created a machine learning system that analyzes the data and decides whether to diagnose.

If it “feels” it’s unable to make an accurate prediction, it will defer to a medical professional. It even considers whether to defer to an expert based on who in the medical team is available. It will consider each team member’s availability, level of experience, and specialty.

Conclusion  

AI in diagnostic imaging shows promise to truly advance quality of care for patients. We are excited to see more advancements in this arena. In the meantime, we don’t believe any machine can currently replace a trained human eye when it comes to interpretations. At Vesta, we provide US Board Certified radiologists who work to provide accurate preliminary and final interpretations. Learn how we can support your radiology department– contact us today.