The world around us is changing rapidly, and with our aging populations, and public health crises, enormous pressures are on provider workloads impacting patient safety risks and patient experiences.
Becoming more efficient, healthcare providers must deliver higher quality care, improve patient, reduce costs, become more efficient, and apply the latest developments in drug therapy.
Healthcare environments have enormous datasets to be leveraged, and its time to put this data to work where AI and machine learning methods that are intelligently integrated into workflows will improve healthcare delivery of all stakeholders.
The health technology sector sector is expected to reach USD $280 billion by 2021, at a CAGR of 15.9% between 2016 - 2021. Deloitte identifies data as “the new health care currency.”
The challenge is unlocking the billions of data sets often stored in disconnected digital systems and transforming data into actionable insights that modernize the health care system.
Examples of how AI can be used to modernize healthcare include:
- Risk stratification of patient populations
- Medication Adherence (Behavior) Analytics/Predictions
- Disease Propensity Predictive Analytics
- Patient hospital-acquired conditions risk - Safety Analytics
- Clinical pathway predictions - Optimization Insights
- Treatment effectiveness
- Acute vs. chronic episodic care forecasting
- Error propensity (clinical or medication)
- Infection rate prediction Growth (Like Covid)
- Infection rate prediction Growth
- Intelligent Medicine Dispensing
- Surgical Robots
- Mindfulness Health Tracking and Analytics
- Cobots (Home Companions)
- Claims processing, clinical documentation,
- Revenue cycle management and medical records management.
AI can add value by either automating or augmenting the work of clinicians and staff. Many repetitive tasks will be fully automated, and AI will help health professionals perform better at their jobs and improve outcomes for patients. AI in healthcare provides a many benefits, including automating tasks and analyzing big patient data sets to deliver better healthcare faster, and at a lower cost. According to Insider Intelligence, 30% of healthcare costs are associated with administrative tasks. Finding more efficient ways to modernize our healthcare ecosystems, AI will have a profound impact in creating more efficiencies and breakthroughs that today we can yet imagine.