☀️ Sam Altman’s Health Routine

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Welcome to your briefing:

• AI ROUNDUP: Startup funded by billionaires, is developing neuro-tech wearables

• INDUSTRY ROUNDUP: Amazon cutting jobs in healthcare units one medical

• WELLNESS BYTES: 5 ridiculously simple habits will help sharpen your memory and make you smarter

• INSIGHTS CORNER: Patient-centered care at the forefront of AI innovations

• TRIVIA: How has AI improved the diagnostic process for multiple sclerosis (MS) patients?

AI ROUNDUP

WATCH THIS… 👇

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Ok… Now back to AI roundup

• Cambridge startup, funded by billionaires, is developing neuro-tech wearables (Read More)

• Racial bias in AI medicine tied to doctors' own biases (Read More)

• Apple beats AliveCor lawsuit over heart-rate apps for Apple Watch (Read More)

• The fight over AI biosecurity risk takes a twist (Read More)

• AI improves performance of nonradiologists in chest imaging (Read More)

• OpenAI-backed healthcare AI startup raises $70 million Series B (Read More)

• WHO: How AI can transform patient care and treatment (Read More)

• Everybody wants to audit AI, but nobody knows how (Read More)

INDUSTRY ROUNDUP

• Why HIPAA is no longer enough to guard health data (Read More)

• Amazon cutting jobs in healthcare units one medical (Read More)

• Viagra may lower the risk of Alzheimer’s (Read More)

• Hospital CIOs weigh 5G as digitized medicine pushes Wi-Fi to its limits (Read More)

• As magic mushrooms got more attention, drug busts of the psychedelic drug went up (Read More)

• Colorado moves to connect agricultural workers with mental health resources (Read More)

• Sanders slams drugmakers’ business practices in new report ahead of CEO hearing (Read More)

WELLNESS BYTES

• 5 ridiculously simple habits will help sharpen your memory and make you smarter (Read More)

• Sam Altman’s Healthy routine to unlock peak productivity (Read More)

• Drink memory: How wine and memories intertwine (Read More)

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INSIGHTS CORNER

#1 - Patient-centered care at the forefront of AI innovations

Up to this point, AI models have been trained on patient data and diagnostics, such as lab results, x-rays, and symptomatology. A study from the Lancet last spring looks at how advancements in AI have led to the possibility of a new kind of training—using Patient-Reported Outcome Measures (PROMs). 

Key Findings:

• By focusing on PROMs, AI models can support personalized care and decision-making, predicting outcomes meaningful to patients and addressing health disparities by considering diverse data inputs.

• Some challenges in integrating PROMs include data fragmentation, validation issues, the scarcity of large-scale PRO datasets, and clinician prioritization.

• Recommendations involve prioritizing the collection of diverse PRO data, training AI against patient outcomes, selecting appropriate PRO tools, utilizing ePRO technology, and fostering multi-stakeholder collaboration to ensure AI enhances patient-centered care.

Significance:

Overall, the paper underscores the importance of integrating PROs within AI to prioritize the patient's voice in the digitization and automation of health care and maintain humanization within the patient-provider relationship. 

Go Deep: Read the study here

#2 - Personalizing healthcare with AI algorithms as recommender systems

An article from the Health Sciences Review discusses the potential of using artificial intelligence (AI) in healthcare to improve patient outcomes and reduce costs. It focuses on AI algorithms as recommender systems, which can predict personalized healthcare recommendations based on a person's preferences.

Key Findings:

• AI algorithms are being integrated into healthcare to assist in clinical decisions, providing timely and relevant interventions for patients.

• Recommender systems in healthcare are categorized into content-based, collaborative filtering, and hybrid systems, each with unique methods and challenges.

• A 2022 study found that integrating an AI recommender with clinician decision-making improved predictions of patient quality of life during breast cancer treatments, increasing the accuracy from 69.6% to 75.5% at 6 months and from 70.9% to 73.9% at 12 months.

• The application of various AI techniques like deep learning and reinforcement learning in healthcare shows promise, but issues such as data sparsity and privacy remain.

• Recommendations include focusing on developing AI with deep learning and active learning for personalized healthcare delivery.

Significance:

The study acknowledges the influence of clinicians in the decision-making process and calls for the acceptance of AI-based recommender systems in healthcare to improve patient outcomes.

Go deep: Read the study here

#3- Trend: AMA sees uptick in AI acceptance among physicians

A few months ago, the American Medical Association wrapped up its comprehensive study of physician’s sentiments towards the use of augmented intelligence (AI) in health care including different use cases, motivations, concerns, areas for growth, and prerequisites for adoption. 

Here’s what they found: 

• 🚀 Augmented intelligence in healthcare is exciting, with 65% of physicians seeing benefits, especially in reducing admin tasks like documentation (54%) and prior authorization (48%).

• 💡🤔 Mixed feelings among doctors: 41% are both excited and concerned, seeing AI's promise in diagnosis (72%) and workflow (69%) but worried about patient relationships (39%) and privacy (41%).

• 🛠️ Currently, 38% of physicians use AI mainly for admin relief; 56% believe AI excels in automation, planning to expand use in the next 5 years.

• 📊 For AI adoption, data privacy, error liability, and malpractice insurance are key to feeling more comfortable in the future. 

Go Deep: Read the survey data here

AI TRIVIA

HEALTHCARE CONFERENCES

MARCH 

• March 8-12: SXSW Health and MedTech Track 2024 (Austin, TX)

• March 11-15: 2024 HIMSS Global Health Conference (Orlando, FL)

• March 11-12: Fierce BD&L Summit for Life Sciences (San Francisco, CA)

• March 12-15: Health Industry Distributors Association (HIDA) Executive Conference (Amelia Island, FL)

• March 12-14: AHIP 2024 Medicare, Medicaid, Duals & Commercial Markets Forum (Baltimore, MD)

• March 18-20: Fierce Trial Master File Summit (Savannah, GA)

• March 21: STAT 2024 Breakthrough Summit East (NYC & virtual)

• March 25-28: American College of Healthcare Executives Congress on Healthcare Leadership (Chicago, IL)

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Until next time,

Kaushee

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