Medical facilities worldwide utilize AI to remediate health professionals’ performance, improve patients’ well-being, and alleviate administration costs.
To this date, AI has contributed to the healthcare industry optimizing insurance claims, utilization of care settings, drug dosing, and predicting patients’ risks, to name a few.
Health is the pillar of a good foundation—one that AI can improve substantially.
Insurance Optimization
Patients and businesses need to carefully estimate their budgets when securing a medical plan. AI helps to alleviate budget conundrums by focusing on proper medical underwriting, automated claims management, and promoting unbiased data-driven decisions via advanced analytics — boosting efficiency and system interrelation, all while eliminating the effect of human errors.
Readmissions, Mortality, and Chronic Diseases
Timely predictions save patient lives and health companies’ budgets—and AI does just that. Through thorough analysis of patient records, AI can identify high-risk patients, foresee the development of disorders, and recommend the required care. This approach leads to effective treatment of chronic conditions, prevention of readmissions, and even death.
Utilization of Care Settings and Medications
As part of patient treatment, AI-powered precision drug dosing and care setting utilization solutions represent a reimagined method to distribute medications to patients and patients among facilities according to their risk levels. Advanced algorithms allow optimizing administration routes and dosages of medicines required—whether it’s acute or chronic conditions the patient suffers from—resulting in lowered patient exposure to drugs and increased economic efficiency of the care. AI also can determine the optimal level of care for a patient. It enables the selection of a health facility with the best ratio of the required conditions and cost of care, preventing a healthcare provider from unnecessary expenses.
Clinical Decisions Support
Clinical data is measured in amounts that humans are unable to process manually. With advanced analytics being the forte of AI, the data can be thoroughly studied, uncovering value for an organization. Business insights are communicated to stakeholders then as guidance and decisions assistance. Such analysis can help create accurate predictions of treatment outcomes, stratify patients into risk groups, identify patterns to assist in clinical trials, and drug development.
Medical Imaging & ECG Analysis
While medical imaging and electrocardiography represent a powerful way to determine one’s state of health, the raw outcomes of the devices are still majorly analyzed by humans manually. With the use of AI, medical imaging diagnostics is aided by AI-assisted detection of cancer, lung-related and neurological pathologies; ECG technology is boosted with automated peak analysis and preliminary conclusions of heart arrhythmias.
Conversational Interfaces
TactTactful and timely interaction is critical for patients engagement. Using machine learning and natural language programming, patients may interact with human-like chatbots and intelligent voice assistants, receiving required information and services in time through emotions-supporting solutions. In this case, medical facilities benefit from increased availability of medical professionals, satisfied patients, and AI-conducted check-ups even after patients leave the facility.
$6.6 Billion Healthcare AI Market
As of 2021, the AI-associated healthcare market is reaching a value of $6.6 billion. This is considered an astonishing advancement in terms of technological growth.
3 Doctors per 1000 Residents
Data shows that only three doctors are available per 1,000 inhabitants on average across 33 selected countries.
$150 Billion of Health AI Savings
Combined clinical health AI applications can potentially create $150 billion in annual savings for US healthcare by 2026.
43.4% Inappropriately Insured
43.4% of Americans aged 19–64 were inadequately insured in the first half of 2020.