Artificial Intelligence (AI) in the Healthcare Industry
The year 2020 underscored the importance of investing in efficient and intelligent healthcare systems. With sensitive data overflowing in this sector, there is ample opportunity for improvement through innovative technologies such as Artificial Intelligence (AI) and Machine Learning.
Greenowl's versatility and the diverse yet specialised needs of the healthcare sector form a powerful partnership, enhancing human expertise, improving access to quality healthcare, and reducing costs to deliver superior patient outcomes. Over the next decade, Greenowl will empower healthcare professionals with tools to predict and prevent health conditions before they manifest, thereby decreasing the strain on public healthcare services.
Applications of AI in Healthcare
AI-based Preventive Care
Analysing electronic health record data with AI tools can help healthcare professionals identify potential health issues before they cause symptoms.
Benefits:
- Swift and precise diagnosis
- Higher likelihood of successful treatment
- Reduced healthcare costs through preventative care
Unstructured Data Extraction
AI can analyse unstructured data formats like handwritten notes, archived files, and PDFs to extract valuable medical insights.
Benefits:
- Decreased wait times
- Streamlined processes
- More doctor focus on patient care
Automated Prescriptions
Natural Language Processing (NLP) can analyse patient interactions and medical history to assist healthcare providers in creating accurate prescriptions.
Benefits:
- Increased doctor productivity
- Reduced risk of human error
Personalised Care
AI capabilities can personalise and tailor healthcare by recommending targeted interventions throughout a patient's treatment journey.
Benefits:
- Enhanced treatment accuracy
- Improved efficacy of care
Benefits of AI in Healthcare
Faster and more accurate diagnosis
Reduced time pressure on doctors
Preventive treatments