Claude

Which A.I. should you use for your clinical practice?  That is the elephant in the room.

Here are some notable medical AI programs and systems:

1. IBM Watson Health

2. Google DeepMind Health

3. Babylon Health

4. Enlitic

5. Atomwise

6. BERG Health

7. Tempus

8. Freenome

9. Zebra Medical Vision

10. PathAI

11. Arterys

12. Sophia Genetics

13. Ada Health

14. BenevolentAI

15. Viz.ai

These programs cover various aspects of healthcare, including:

- Diagnostics and imaging analysis

- Drug discovery and development

- Personalized treatment planning

- Electronic health record analysis

- Clinical decision support

- Patient monitoring and triage

- Genomics and precision medicine

Would you like more information about any specific program or area of medical AI?

1. IBM Watson Health: Uses natural language processing and machine learning to analyze vast amounts of medical data. It's been applied in oncology for treatment recommendations and in drug discovery.

2. Google DeepMind Health: Known for its work with the UK's National Health Service, particularly in developing AI for analyzing medical imaging. Their system can detect over 50 eye diseases from retinal scans.

3. Babylon Health: Offers an AI-powered chatbot for initial health assessments and triage. It aims to provide personalized health assessments and treatment advice.

4. Enlitic: Focuses on using deep learning to analyze medical images, helping radiologists detect abnormalities more quickly and accurately.

5. Atomwise: Uses AI for drug discovery, predicting how well small molecules will bind to target proteins. This can significantly speed up the initial stages of drug development.

6. Tempus: Combines genomic sequencing with machine learning to provide personalized cancer care. It analyzes a patient's genetic data alongside clinical records to suggest optimal treatments.

7. PathAI: Develops AI-powered technology for pathology. Their systems assist pathologists in making more accurate diagnoses, particularly in cancer detection.

8. Ada Health: A symptom-checking app that uses AI to help users understand their symptoms and decide on next steps for care.

9. Viz.ai: Specializes in using AI to detect and alert physicians about potential strokes in CT scans, aiming to speed up treatment times.

10. BenevolentAI: Uses AI to accelerate drug discovery and development, particularly for complex diseases like Parkinson's and rare cancers.

Would you like me to elaborate on any specific aspect of medical AI, such as its applications in a particular field or the technologies behind these systems?

Epic Systems is building more than 100 new AI features for doctors and patients.

Epic Systems is building more than 100 new AI features for doctors and patients. Here’s what’s coming.

• Epic Systems is the leading provider for enterprise electronic health records. It is used by many major health systems such as Mayo Clinic, UCLA Health Systems, Many large medical groups also utilize Epic System It is a health-care software company whose technology is used in thousands of hospitals and clinics across the country. Thousands of industry leaders are visiting Epic’s headquarters in Verona, Wisconsin this week to learn about its new products and updates.
The company houses medical records for more than 280 million individuals in the U.S. 


In addition to MyChart,  Epic also is developing Cosmos, Cosmos is a blockchain utilizing software identical to cryptocurrency
a deidentified patient dataset clinicians can use to conduct research. This is a first in the healthcare industry to comply with HIPAA regulations concerning patient confidentiality and security.





Seth Hain, senior vice president of R&D at Epic

Many physicians have to carry out time-consuming tasks like drafting insurance denial appeal letters and reviewing prior authorization requirements, so Epic said it is working to introduce AI tools that can streamline those processes this year.

Epic is “investigating” how it could facilitate claims submissions directly through its software, without the need for a middleman like a clearinghouse. If Epic is successful, it could mark a major change in the way that insurance claims are processed throughout the health-care industry.

The Future

Seth Hain, senior vice president of research and development at Epic, facilitated the demo. He spoke to an AI agent through the MyChart app about his recovery after a supposed wrist surgery and answered questions about his pain. The agent instructed Hain to open his camera and bend his wrist back so it could evaluate the progress of his healing. The agent said Hain’s wrist extension was about 60 to 75 degrees, which meant his recovery was ahead of schedule, compared to data from similar patients in Epic’s Cosmos database.

Hain asked the agent if he could start playing pickleball again, and it told him that he “should still wait a little longer” before doing so.

In a meeting with reporters after the presentation, Hain said the demo was happening in real-time without human intervention. However, that capability is so new that Epic doesn’t even have a name for it yet, and Hain said it will likely be a few years before it’s more widely available.

″It is very, very, very early in regards to how and where the community, the broader medical community, will adopt that type of thing, but it’s viable,” he said.

None of these features have been vetted by the FDA and will require certification prior to use on patients.  The FDA is studying applications for review

The Promise Artificial Intelligence Holds for Improving Health Care

Methods and Tools for Effective Postmarket Monitoring of Artificial Intelligence (AI)-Enabled Medical Devices

It is a "Brave New World" once again for healthcare

Keeping current with artificial intelligence will allow you to become more productive, and is mandatory for your career as a physician. Most physicians do not need to be literate in programming, since AI is designed to be transparent and understands common colloquial languages.

The Digital Health Hub Foundation Awards

 

The Digital Health Hub Foundation Awards recognizes the achievements of innovative health tech companies that are dramatically improving healthcare through the use of technology in the digital health industry. In the 2024 season, we will feature two tracks and 11 categories, including two new qualitative stories categories.

As we set our sights on the 2024 season, excitement is building for the wave of applications from health tech companies around the globe. With an anticipated influx of entries, we're eager to witness the profound impact of technology on digital health.

From this diverse pool of applicants, a select group will advance as quarterfinalists, showcasing excellence in innovation. As the competition progresses to the final stage, anticipation mounts for the grand finale. Here, we will honor the best-in-class winners and celebrate the emerging talents shaping the digital health landscape. Join us on this exhilarating journey into the future of healthcare innovation at the Digital Health Hub Foundation Awards in 2024.

APPLY HERE

Data Logistics: A Generation-defining Leap Forward in Healthcare

This is an amazing fact since the digitization of health care records did not occur until 2005-2006 when electronic health records became prevalent

Today, approximately 30% of the world’s data volume is being generated by the healthcare industry. According to the World Economic Forum, less than 3% of that data gets used.¹ By 2025, healthcare will produce more data than any other market segment and is the least poised to put that data to work.

Examples of the many decisions in healthcare that need more complete data:

 A pharmaceutical sponsor decides on a trial recruitment strategy to ensure a diverse and representative population in a pivotal clinical trial.

A regulator determines whether an intervention that came to market under an accelerated approval pathway continues to provide meaningful benefit in a larger patient population.

A physician making quick decisions in an emergency care setting.

Public health authorities need real-time data to act quickly and decisively to avoid or contain disease outbreaks, using data to track disease patterns and detect emerging threats.

and so many more

It isn’t a far-fetched, utopian dream. The data exists. The computational power exists. Analytical capabilities increase every day. We have a compelling need, in human health. So what is stopping us?

Let’s Start by Reframing Healthcare’s Key Challenge: 

A Broken Data Supply Chain

A functioning data supply chain is one where health data movement can overcome systemic isolation while complying with critical privacy regulations. In healthcare, it would mean data moves and connects securely, compliantly, and frictionlessly.

We benefit from high-functioning supply chains every day. Building a car takes 30,000 parts across 4,000 suppliers, from 20 different countries with hundreds of different regulations. That’s fragmentation on steroids. But it comes together like a symphony, and we trust the output of that supply chain with our own safety and the safety of our loved ones.

Assembling a patient’s full, longitudinal health story is similar. It is made up of all the different doctor’s visits, all the medications, treatment history, family history, and social determinants. Doing so should be as efficient as an automaker assembling a car or the way an internet search engine or an online retailer makes information and goods available and useful at the click of a button.

What are the barriers?    

5 Reasons Healthcare Data Is Unique and Difficult to Measure

Data logistics is the connective tissue required for a supply chain to operate effectively. The challenges that data logistics help overcome are two-fold:

1. Organizations are reluctant to share health data. Health data is the world’s most personal and precious data — regulated, sensitive, and rightfully, nearly impossible to move. Healthcare is made up of an ecosystem of organizations that need to exchange data, but organizations are reluctant to do so given the strict compliance regulations.

2. Data is not designed to be shared and connected. It is in many formats, much of it paper, and collected across fragmented systems that don’t speak to each other. That requires significant technology and healthcare coding effort to ensure information can be “connected” in a way to create an actual patient journey across settings.

Solutions.  This is the role of interoperability, facilitated by Health Information Exchanges (HIE). It required a common language.  (HL7) to bridge the gap between disparate databases, the EHR, Pharmacy systems, Laboratory systems, Hospitals, Imaging sources, and a litany of other providers.

It also requires privacy and confidentiality necessitated security.  National standards listed in HIPAA regulations strictly regulate business agreements by all participants.

To assemble the full patient story, logistics capabilities are required across a variety of factors:

Authorized consent (e.g. de-identified and identified) 

source (e.g. hospital EHR, imaging, genomic data, doctor visits, wearables)

Format (e.g. structured, semi-structured, and unstructured data)

Use case (e.g. clinical decisions, research purposes, health plan optimizations)

Logistics is the critical missing piece to bring the data revolution to healthcare

Leading companies must bring data logistics to healthcare, so organizations can securely and compliantly move health data from where it sits to where it needs to be

Interoperability and Health Information Exchanges bring together all the necessary modalities to ensure that health data moves from where it sits to where it needs to be.  

For decades, we’ve put in the time to partner with and truly understand the different players across the industry, discover the best ways of connecting and sharing necessary data, and build trust that the infrastructure for the compliant exchange of health data is not only now possible but essential.

Data logistics will change the face of the healthcare industry. Providers can better serve their patients. Health plans can fund high-quality care of more patients. Life Sciences companies can develop more breakthrough treatments and preventative health approaches. The public sector can serve the needs of diverse populations proactively and equitably. Private sector companies can make informed and timely decisions. And most importantly, patients — all of us — will live longer, better, healthier lives.