Newswire

Medication errors are a critical problem in healthcare, and Look-Alike, Sound-Alike (LASA) medication errors pose a particularly daunting challenge. Studies show that LASA errors account for approximately one in four medication errors, making them a significant threat to patients. AESOP Technology is thus pleased to announce remarkable results from its recent clinical research, demonstrating its exceptional effectiveness in preventing LASA errors.

"Accurately identifying LASA errors can be challenging due to their complex origins. Surprisingly, only about 15% of intercepted wrong drug errors during our study could be clearly categorized as LASA errors, in the sense that the medications had similar names that contributed to the mix-up. The LASA errors also did not follow predictable patterns, with only 9 out of 71 cases repeating. These findings underscore the limitations of conventional human-defined rule systems, even when augmented with reinforcement learning. RxPrime (formerly MedGuard) not only detects errors that were not previously identified but also highlights the essential need for AI with advanced medical knowledge, demonstrating a breakthrough in patient safety in healthcare," said Jim Long, CEO of AESOP Technology, explaining the intricacies of detecting medication errors, specifically LASA errors.

AESOP also leverages its proprietary AI technology to overcome the limitations of traditional clinical decision support systems and address the issue of alert fatigue.

"AESOP has taken additional steps to improve problem list documentation to reduce alert fatigue from LASA error detection. Many alerts contributing to physician fatigue result from poor problem list documentation within electronic health record systems. Thus, AESOP intervened at the source by helping physicians complete clinical diagnoses and documentation more effectively while prescribing," Long added.
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More than half of all medication errors occur during the prescription phase, making it a critical focus for improving patient safety. AESOP's innovative approach offers a beacon of hope. Applying advanced AI technology to this complex problem has yielded impressive results and holds great promise for the healthcare industry. As we address patient safety challenges, AESOP Technology's contributions stand as a testament to the potential of innovative solutions in ensuring the well-being of patients worldwide.

Reference: yahoo finance

PRNewswire

Medical AI start-up Aesop Technology announced a new partnership that made their new product, DxPrime, available in the Olive Library. DxPrime provides physicians and clinical documentation improvement (CDI) teams with information about missing and wrongly coded diagnoses and procedures to correct the patient's chart in just a few clicks. It makes completing discharge summaries, prioritizing work for CDI teams, and medical coding much easier, faster, and less error-prone.
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If the patient record is incorrect, you cannot code correctly.

Completeness, precision, and validity of medical documentation are critical for all healthcare stakeholders. Without correct patient records, patients could receive improper discharge instructions and a sub-optimal continuum of care. Providers also can struggle to estimate the length of stay and code insurance claims correctly, resulting in denials and loss of revenue.

Approximately 10% of inpatient claims are denied, of which more than 85% (or about $35 billion) result in unnecessary losses. Many of these denials occur because of errors in the patient record that occur upstream from the claims process. Diagnosis input errors are difficult for physicians to avoid because the knowledge of coding systems is different from what they need to learn to provide great patient care. Modern medicine's complexity has caused 14,400 diseases to be included in ICD-10, further classified into 68,000 ICD-10-CM and 87,000 ICD-10-PCS codes.

"Physicians, CDI team, and coders have to spend a lot of time poring through medical records to find the key clinical diagnoses among the vast amount of information available," said Jim Long, CEO of AESOP. "After that, they have to follow a series of inefficient steps on the computer to complete the input process, and search functionality for ICD codes often is not helpful. The whole process is complex, time-consuming, and error-prone.

When the physicians input the improper diagnosis, it also has downstream implications. "When using DxPrime, we have helped physicians often notice they did not correctly code complications such as urinary tract infections and respiratory failure. By assisting them in inputting the proper diagnoses, our partners have seen an increase in revenue of 5-10% per inpatient."

State-of-the-art machine learning assisted physician data entry.

DxPrime provides high-quality suggestions to support physician data entry based on a machine learning model (published in the Healthcare journal) that has been run on top of data from 3.2 Billion patient visits, including vast amounts of structured information. It allows DxPrime to use items from the patient record like lab test results and medications ordered when predicting a diagnosis.
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This comprehensive model utilizes artificial intelligence to efficiently compensate for traditional CDSS and NLP weaknesses to find correct or missed diagnoses.

Referred from: yahoo finance

Ten startups from the Taiwan Tech Arena (TTA) will participate in the program's first Global Innovation Pitch Showcase, produced in partnership with Berkeley SkyDeck, UC Berkeley's highly competitive global startup accelerator. Silicon Valley VCs, angel investors and industry professionals will attend the virtual event. Interested investors may register to join the pitch Showcase here.

TTA, funded by Taiwan's Ministry of Science and Technology, is focused on building a vibrant tech ecosystem of Asian startups. Each year, they select a cohort of up to 30 startups to participate in the TTA Silicon Valley accelerator, with eight of the startups participating with SkyDeck as part of its Global Innovation Partners program. This event marks the first time TTA is producing a pitch showcase with SkyDeck.

"We are proud to connect the outstanding Taiwanese tech talent with the impressive entrepreneurial community of Berkeley SkyDeck," said the TTA Silicon Valley office. "Since 2016, we have brought more than 150 innovators from Taiwan to the U.S. to build strong international relationships and connections and attract investment. And it's noteworthy that most of the startups' businesses stem from academia. To date more than half of these Taiwanese startups have raised money. With the new Showcase, we're thrilled we can share their talents, ideas and innovations on a global stage."

SkyDeck's Global Innovation Partner Program serves as a bridge for global startup teams as they participate in the SkyDeck entrepreneurial ecosystem and bring their ideas to the U.S. market. A limited number of startups from outside the U.S. are selected to participate in the partner program alongside the SkyDeck Batch (cohort) and Pad-13 (incubator) teams.

"Working closely with TTA has been a wonderful experience for all of us," said Caroline Winnett, Executive Director, Berkeley SkyDeck "Not only are the teams from Taiwan getting an immersive learning and networking experience at SkyDeck, they will return home ready to launch and create economic opportunities in their communities. We look forward to helping jumpstart these startups here in the U.S. and then seeing how they grow."
The Aug. 19 Showcase will feature the following startups:
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• AESOP: AESOP aims to reduce medication errors and billing errors, thus enhancing patient safety and optimizing revenue with AI-powered technologies.