醫守科技 AESOP TECHNOLOGY
  • RxPrime
  • DxPrime
  • DxCode
  • 研究
  • 報導
  • 醫守欲言
  • 職缺
  • 關於
  • En

Mayo Clinic Platform_Accelerate announces second cohort of AI startups

8/10/2022

 
Picture
​Susan Barber Lindquis
Picture
ROCHESTER, Minn. — Mayo Clinic Platform_Accelerate has announced its second cohort of health tech startups, including national and international businesses. The program will help seven companies develop and validate their artificial intelligence-driven health care products or solutions and advance their business plans.

The immersive, 20-week program offers participants access to Mayo Clinic experts in regulatory, clinical, technology and business domains with a focus on AI model validation and clinical readiness. Technology experts from Google and Epic also will provide workshops for the participants.

"The only way we can transform health care is by bringing together clinical experts with technology innovators," says John Halamka, M.D., president of Mayo Clinic Platform, a strategic initiative to improve health care through insights and knowledge derived from data.

"Our Accelerate program combines emerging companies with breakthrough ideas, leaders from Mayo's clinical practice and our unique 'data behind glass' approach to algorithm development," Dr. Halamka says, describing the secure environment that allows companies to build algorithm models they can use for innovation, but the data never leave the Mayo Clinic Platform.
​
The program will help participants explore ways to improve health care in a variety of areas:
  • AESOP Technology: Using machine learning on 3.2 billion patient visits, AESOP aims to make physician data entry easier, faster and less error-prone by automating diagnosis input and improving medication-related workflows. AESOP has offices in California, Colorado and Taiwan.
  • Biotia: By fighting infectious diseases with AI and genomics, Biota is leveraging new DNA sequencing technology to enable personalized, data-driven discovery of microorganisms that cause illness. The company is based in New York City.
  • Delfina: Tackling the maternal health crisis, Delfina’s software is monitoring health data to assess pregnancy risks, coordinate with providers and deliver a personalized care plan to improve pregnancy outcomes. Delfina has offices in San Francisco, New York City and Rochester, Minnesota.
  • Dynocardia: Using wearable technology for accurate real-world continuous blood pressure and other advanced heart function measures, Dynocardia is leveraging AI to enable early detection before serious health events. The company is based in Cambridge, Massachusetts.
  • ImpriMed: To personalize human and animal cancer treatment, ImpriMed aims to validate an oncology platform to provide patients and clinicians with the best predictive information for individual cancer patients. The company has offices in Palo Alto, California, and Seoul, South Korea.
  • Predicta Med: To shorten the diagnostic journey and enable early and effective treatment, Predicta Med is creating an AI-based decision support platform for early detection of autoimmune diseases. The company is based in Tel Aviv, Israel.
  • SOAP Health: SOAP (Subjective, Objective, Assessment, Plan) Health seeks to enhance physician productivity and insight to ensure accurate and timely prediagnosis — made before occurrence of symptoms — and diagnosis. The company is based in Boca Raton, Florida.

Chosen from a competitive process, each company receives a benefit package that offers:
  • Access to deidentified patient data in a secure environment.
  • AI model validation with guidance from data science experts.
  • Ability to check for fairness and bias in AI models.
  • Exploratory collaboration discussions with clinical experts.
  • Guidance to understand Food and Drug Administration clearance pathways.
  • Support to plan clinical validation studies, such as clinical simulation or clinical research trials.

As part of this in-kind investment, Mayo Clinic Platform will have an equity position in the companies.
​
"In our first cohort, we already have seen these companies receive attention from potential investors, health care providers and others who want to support their work," says Eric Harnisch, vice president, Partner Programs, Mayo Clinic Platform. "We are excited to further these efforts with the second group of companies."

The inaugural cohort of four companies recently finished the program. Applications for the third Mayo Clinic Platform_Accelerate cohort will be open soon and reviewed on a rolling basis.

About Mayo Clinic Platform
Founded on Mayo Clinic’s dedication to patient-centered care, Mayo Clinic Platform. enables new knowledge, new solutions and new technologies through collaborations with health technology innovators to create a healthier world. To learn more, visit Mayo Clinic Platform.

About Mayo Clinic
Mayo Clinic is a nonprofit organization committed to innovation in clinical practice, education and research, and providing compassion, expertise and answers to everyone who needs healing. Visit the Mayo Clinic News Network for additional Mayo Clinic news.

Reference
​newsnetwork.mayoclinic.org/discussion/mayo-clinic-platform_accelerate-announces-second-cohort-of-ai-startups/

Aesop Technology launches CDI tool to help avoid patient record errors

6/6/2022

 
Picture
Adam Ang
Picture
Photo by: Helen King/Getty Images

​California-based medical AI startup Aesop Technology, which has an R&D office in Taiwan, has recently unveiled its latest clinical documentation improvement tool that helps coders spot incorrectly coded diagnoses or procedures.

DxPrime provides suggestions to support medical data entry. The CDI tool is based on a machine learning model that has been trained based on a data set of some 3.2 billion patient visits. According to Aesop Technology, their latest solution for medical coding harnesses AI to "efficiently compensate for traditional CDSS and NLP weaknesses to find correct or missed diagnoses".

WHY IT MATTERS

Now available on digital health marketplace Olive Library, DxPrime provides information on missing and wrongly coded diagnoses or procedures to easily correct patients' charts. 

With incorrect patient records, Aesop claims, patients could be given improper discharge instructions, thus receiving poor after-discharge care. For providers, this could lead to a wrong estimate of their patients' length of stay and wrong code insurance claims, which could ultimately result in denials and revenue losses.

Aesop emphasized that errors in diagnosis input are difficult for physicians to avoid due to the gap in their knowledge of coding systems. Currently, the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) has 14,400 diseases included in its base classification, 68,000 diagnosis codes under ICD-10-CM and 87,000 procedural codes under ICD-10-PCS.

THE LARGER TREND

Last month, Aesop's medication decision support tool RxPrime was launched on Olive Helps, a desktop platform for healthcare IT developers. The solution analyses inpatient data using patterns from prescriptions and flags potentially inappropriate prescriptions that do not match a patient's diagnosis. 

In other news, Aesop partnered with Taipei Medical University, Harvard Medical School and Brigham and Women's Hospital last year for a study that ran its machine learning model in EHR systems in the United States. It was found that the model, which provides adaptive suggestions to help doctors better complete their prescriptions, had demonstrated good international transferability.

ON THE RECORD

Jim Long, CEO of Aesop, said: "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. 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 using DxPrime, he claimed, doctors were able to notice incorrect code complications. "By assisting them in inputting the proper diagnoses, our partners have seen an increase in revenue of 5-10% per inpatient," Long said.

Reference: MobiHealthNews​

First AI to Refine Medical Coding by Exploring Therapeutic Data

6/1/2022

 
Picture
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.
​
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.
​
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

Olive Announces Winners of Hack for Health Developer Contest: AESOP, CMEfy, and...

1/31/2022

 
Picture

U.S.A., Jan. 31, 2022 - Olive, the automation company creating the Internet of Healthcare, today announced the winners of the first-ever Hack for Health contest. In partnership with Rotera, Olive held the contest to encourage developers to build Loops (think apps in an app store) that will change the way healthcare employees work by improving efficiency, reducing the scope for errors and burnout, and enhancing productivity — all to optimize the patient experience.

Olive designed its Hack for Health contest to solve healthcare’s biggest problems through collaboration with the developer community. Participation is open to any individual developer, startup, health system, or enterprise technology company. Winning Loop submissions are published on Olive’s platform, giving developers full access to Olive’s growing payer-provider network.

While any developer who publishes a loop on Olive’s platform receives 85% of the revenue generated from their Loop(s) once published, Hack for Health grand prize winners also receive tiered cash prizes up to $10,000, industry speaking engagement opportunities, a 60-minute pitch meeting with the Olive Ventures team, an Oculus Quest 2, YubiKey, and a 30” curved monitor. Olive also provides opportunities for its employees to develop Loops as part of an internal contest with its own set of prizes.

“Olive created healthcare’s first true platform. We wanted to create an event that encouraged a wide range of developers to come build on it to grow our ecosystem of people working together to transform healthcare,” said Patrick Jones, Executive Vice President, Partnerships at Olive. “Our first-ever Hack for Health contest, in partnership with Rotera, was the perfect way to introduce developers of all sizes to Olive and create new solutions that will help change the way healthcare workers work.”

Olive selected the following five Loops as the grand prize winners based on their functionality, innovation, outcome improvement, and bettering of diversity, equity, and inclusion among underrepresented healthcare workers and patients:

  • AESOP Technologies with the RxPrime Loop and DxPrime Loop: These Loops identify potential wrong-drug errors like “look alike/sound alike” errors and “wrong click” errors, as well as missing and incorrect diagnoses codes. They also provide suggestions of diagnoses and medications based on comparing the patient's chart to information mined from more than 3 billion patient visits.

Read More
    Picture

     

    All
    2018
    2019
    2020
    2021
    2022
    #COMPUTEX Taipei
    #DIGITIMES
    #EE Times Asia
    #FOCUS TAIWAN
    #MayoClinicPlatformAccelerate
    #Mobi Health News
    #Olive Hack For Health
    #Taiwan Business TOPICS
    #Taiwan Research Highlight
    #TechNews科技新報
    #TVBS
    #Yahoo Finance
    #三立新聞網
    #中時電子報
    #中研院
    #今周刊
    #台灣新生報
    #大紀元
    #天下雜誌
    #寰宇新聞
    #數位時代
    #環球生技月刊
    #經濟日報
    #非凡新聞台
    #飛碟聯播網

醫守科技股份有限公司
AESOP TECHNOLOGY

hi@aesoptek.com
​© Aesop Technology 2021
  • RxPrime
  • DxPrime
  • DxCode
  • 研究
  • 報導
  • 醫守欲言
  • 職缺
  • 關於
  • En