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Healthcare and AI: The benefits of AI in healthcare

Jovon Harley • December 4, 2023

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Artificial intelligence is being used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals.

How can artificial intelligence benefit healthcare? 

According to Statista, the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. That massive increase means we will likely continue to see considerable changes in how medical providers, hospitals, pharmaceutical and biotechnology companies, and others in the healthcare industry operate.

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. AI and ML technologies can sift through enormous volumes of health data—from health records and clinical studies to genetic information—and analyze it much faster than humans.


AI could help make healthcare operations more efficient



 

Healthcare organizations are using AI to improve the efficiency of all kinds of processes, from back-office tasks to patient care. The following are some examples of how AI could be used to benefit staff and patients 

 

The following are some examples of how AI could be used to benefit staff and patient.



 

  • Administrative workflow: Healthcare workers spend a lot of time doing paperwork and other administrative tasks. AI and automation can help perform many of those mundane tasks, freeing up employee time for other activities and giving them more face-to-face time with patients. For example, generative AI can help clinicians with note-taking and content summarization that can help keep medical records as thorough as possible. AI could also help with accurate coding and sharing of information between departments and billing.
  • Virtual nursing assistants: One study found that 64% of patients are comfortable with the use of AI for around-the-clock access to answers that support nurses provide. AI virtual nurse assistants—which are AI-powered chatbots, apps or other interfaces—can be used to help answer questions about medications, forward reports to doctors or surgeons and help patients schedule a visit with a physician. These sorts of routine tasks can help take work off the hands of clinical staff, who can then spend more time directly on patient care, where human judgment and interaction matter most.
  • Dosage error reduction: AI could be used to help identify errors in how a patient self-administers medications. One example comes from a study in Nature Medicine, which found that up to 70% of patients don’t take insulin as prescribed. An AI-powered tool that sits in the patient’s background (much like a Wi-Fi router) could be used to flag errors in how the patient administers an insulin pen or inhaler.
  • Less invasive surgeries: AI-enabled robots could be used to work around sensitive organs and tissues to help reduce blood loss, infection risk and post-surgery pain.
  • Fraud prevention:
  •  Fraud in the healthcare industry is enormous, at $380 billion/year, and raises the cost of consumers’ medical premiums and out-of-pocket expenses. Implementing AI can help recognize unusual or suspicious patterns in insurance claims, such as billing for costly services or procedures not performed, unbundling (which is billing for the individual steps of a procedure as though they were separate procedures), and performing unnecessary tests to take advantage of insurance payments.



  

 

AI in healthcare organizations could mean better health monitoring and preventive care



As health and fitness monitors become more popular and more people use apps that track and analyze details about their health, they can share these real-time data sets with their doctors to monitor health issues and provide alerts in case of problems.

AI solutions—such as big data applications, machine learning algorithms and deep learning algorithms—could also be used to help humans analyze large data sets to assist in clinical and other decision-making. AI could also be used to help detect and track infectious diseases, such as COVID-19, tuberculosis and malaria.



AI can help connect disparate healthcare data


One benefit the use of AI brings to health systems is making gathering and sharing information easier. AI can help providers keep track of patient data more efficiently. 


One example is diabetes. According to the Centers for Disease Control and Prevention, 10% of the US population has diabetes. Patients can now use wearable and other monitoring devices that provide feedback about their glucose levels to themselves and their medical team. AI can help providers gather that information, store and analyze it, and provide data-driven insights from vast numbers of people. Leveraging this information can help healthcare professionals determine how to better treat and manage diseases.


Organizations are also starting to use AI to help improve drug safety. The company SELTA SQUARE, for example, is innovating the pharmacovigilance (PV) process, a legally mandated discipline for detecting and reporting adverse effects from drugs, then assessing, understanding and preventing those effects. PV demands significant effort and diligence from pharma producers because it’s performed from the clinical trials phase all the way through the drug’s lifetime availability. Selta Square uses a combination of AI and automation to make the PV process faster and more accurate, which helps make medicines safer for people worldwide.

In some cases, AI could reduce the need to test potential drug compounds physically, which is an enormous cost-savings. High-fidelity molecular simulations can run on computers without incurring the high costs of traditional discovery methods.


AI also has the potential to help humans predict toxicity, bioactivity, and other characteristics of molecules or create previously unknown drug molecules from scratch.



AI governance in healthcare


As AI becomes more important in healthcare delivery and more AI medical applications are developed, ethical and regulatory governance must be established. Issues that raise concern include the possibility of bias, lack of transparency, privacy concerns regarding data used for training AI models, and safety and liability issues.

“AI governance is necessary, especially for clinical applications of the technology,” said Laura Craft, VP Analyst at Gartner. “However, because new AI techniques are largely new territory for most [health delivery organizations], there is a lack of common rules, processes and guidelines for eager entrepreneurs to follow as they design their pilots.”

The World Health Organization (WHO) spent 18 months deliberating with leading experts in ethics, digital technology, law and human rights and various Ministries of Health members to produce a report called Ethics & Governance of Artificial Intelligence for Health. This report identifies ethical challenges to using AI in healthcare, identifies risks, and outlines six consensus principles to ensure AI works for the public’s benefit:

  1. Protecting autonomy
  2. Promoting human safety and well-being
  3. Ensuring transparency
  4. Fostering accountability
  5. Ensuring equity
  6. Promoting tools that are responsive and sustainable

The WHO report also provides recommendations that ensure governing AI for healthcare both maximizes the technology’s promise and holds healthcare workers accountable and responsive to the communities and people they work with.




Future and potential of AI in the healthcare ecosystem


AI provides opportunities to help reduce human error, assist medical professionals and staff, and provide patient services 24/7. As AI tools continue to develop, there is potential to use AI even more in reading medical images, X-rays and scans, diagnosing medical problems and creating treatment plans.

AI applications will continue to help streamline various tasks, from answering phones to analyzing population health trends (and, likely, applications yet to be considered). For instance, future AI tools may automate or augment more of the work of clinicians and staff members. That will free up humans to spend more time on more effective and compassionate face-to-face professional care.




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Normal vs. Optimal: Why Not All Lab Tests Are Created Equal When we receive the results of our lab tests, we’re often told that everything is "within normal limits." This can feel reassuring, but should it always be? As the field of personalized medicine and longevity advances, it’s becoming clearer that the definition of "normal" isn’t the same for everyone. Factors like age, ethnicity, genetics, environment, and lifestyle play a significant role in shaping what is truly optimal for each individual. As Dr. Patel from MD Longevity Labs explains, understanding the difference between “normal” and “optimal” lab results is essential for achieving long-term health and wellness. What Are "Normal" Lab Results? In traditional medicine, lab test results are often measured against reference ranges known as the "normal" range. These ranges are derived from data gathered from a broad population, typically adults who are considered healthy, with no chronic conditions. However, these ranges are averages, not necessarily indicative of ideal health for any specific individual. For example, in a basic blood test, the normal range for cholesterol might be considered 125–200 mg/dL. If your level falls within this range, you are often told that your cholesterol is normal, even if it's closer to the higher end of the range, putting you at risk for cardiovascular disease in the future. The Concept of "Optimal" Lab Results "Optimal" lab results, on the other hand, are those that fall within an ideal range tailored to an individual's age, genetics, ethnicity, and lifestyle. The optimal range is more aligned with health optimization rather than merely the absence of disease. For instance, an optimal cholesterol level might be lower than the "normal" range for many individuals, particularly if they are younger, more active, or have a lower risk of heart disease. Dr. Patel from MD Longevity Labs explains: "Our goal is not just to avoid disease, but to optimize health and longevity. By looking beyond just normal ranges and identifying individual variations, we can develop personalized health plans that help people live longer, healthier lives." The Impact of Age, Ethnicity, Environment, and Lifestyle on Lab Test Results Several factors can shift the distinction between normal and optimal lab test results. Let’s look at how some of these variables can influence what is ideal for your health: 1. Age As we age, our bodies naturally undergo changes that can affect lab test results. For example, older adults often experience a gradual increase in blood pressure and cholesterol, but this is not necessarily optimal. Even within the "normal" range, older adults can experience risks associated with these changes. Dr. Patel emphasizes that it’s essential to understand what "normal" might be for different life stages. “For younger individuals, optimal cholesterol levels may be significantly lower than those for older adults, where slightly elevated levels could be acceptable due to changes in lipid metabolism.” 2. Ethnicity and Genetics Genetic factors and ethnicity can significantly influence what is considered an optimal lab result. For example, some studies have shown that individuals of African descent are more likely to develop hypertension at an earlier age than Caucasians. In contrast, individuals of Asian descent may have different cholesterol level thresholds for optimal health due to differences in metabolism and diet. A study published in PubMed Central (PMC) indicates that ethnic backgrounds affect how the body processes certain nutrients, leading to variations in normal and optimal lab results. For instance, East Asians, particularly those from China, have been shown to have lower blood pressure than Western populations, which can alter the optimal range for hypertension. 3. Environment and Lifestyle Environmental factors—such as exposure to pollutants, living at high altitudes, or working in a physically demanding job—can also affect lab results. For example, individuals who live in areas with high pollution might have higher levels of oxidative stress, influencing inflammation markers and other health indicators. Lifestyle choices, like diet, exercise, smoking, and alcohol consumption, can alter what is considered optimal. An athlete, for example, may have a "normal" heart rate that is lower than that of the general population, which could be optimal for cardiovascular fitness but might be viewed as abnormal in someone who is sedentary. 4. Other Medical Conditions and Medications A variety of chronic conditions, such as diabetes, autoimmune disorders, or thyroid disease, can affect lab test results. For example, an optimal thyroid function test for someone with Hashimoto’s thyroiditis (an autoimmune disorder) would look different from someone without this condition. Similarly, medications like statins or blood pressure meds can also alter certain lab results, pushing them within "normal" ranges but not necessarily ideal for optimal health. Examples of Common Lab Tests: Normal vs. Optimal 1. Cholesterol Levels - Normal: Total cholesterol under 200 mg/dL, LDL ("bad" cholesterol) under 100 mg/dL, and HDL ("good" cholesterol) above 40 mg/dL. - Optimal: For a young, healthy individual, the optimal range for total cholesterol might be under 180 mg/dL, with LDL closer to 70 mg/dL and HDL above 60 mg/dL. For someone with a strong family history of heart disease, the optimal LDL level may be even lower. 2. Blood Pressure - Normal: Below 120/80 mmHg. - Optimal: For individuals under 40, blood pressure readings closer to 110/70 mmHg might be ideal. For older adults, slight elevations within the normal range might be acceptable, but for longevity, it’s essential to aim for lower blood pressure to avoid long-term cardiovascular risks. 3. Blood Glucose - Normal: Fasting blood sugar levels below 100 mg/dL. - Optimal: For those at risk of diabetes or aiming for longevity, maintaining fasting blood sugar levels below 90 mg/dL is recommended. Optimal glucose regulation can also help reduce inflammation and prevent age-related diseases. The Role of Personalization in Longevity Medicine Dr. Patel notes that lab testing should be personalized to create a tailored approach to health and longevity. "Through advanced diagnostics and understanding the full picture of a person's health—taking into account their genetics, environment, and lifestyle—we can move beyond standard 'normal' ranges and identify what is truly optimal for that individual. This leads to better health outcomes and a longer healthspan." By shifting the focus from simply meeting the "normal" ranges to aiming for personalized optimal health targets, patients can better prevent chronic diseases, slow down aging processes, and improve their quality of life. Conclusion The difference between "normal" and "optimal" lab test results is crucial when it comes to managing and optimizing your health. While normal ranges provide general guidelines, achieving optimal health requires taking into account age, ethnicity, environment, lifestyle, and genetics. Through personalized medicine and tailored health plans, we can move beyond the constraints of "normal" and unlock a pathway to optimal health and longevity.
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