AI AND DATA ANALYTICS REVOLUTIONIZING HEALTHCARE SERVICES
By MYBRANDBOOK
DR. S.K.MEHER, HEAD HEALTH IT, AIIMS-NEW DELHI
TRAVERSING THE DIGITAL FRONTIER
The following steps need to be incorporated amid technology driven innovation in health care services:
Data Analytics and Artificial Intelligence (AI)
Data analytics and AI are at the forefront of healthcare services. Generative AI has piqued interest, but practical use cases are still in their early stages. AI is helping doctors analyze images more quickly and effectively, seeking signs of breast cancer, lung nodules, and many other conditions to reach more people with early detection.
Outsourcing Strategic
players, including not-for-profit health systems and payers, are facing financial pressures. Despite local employee impact, outsourcing is becoming compelling due to financial benefits, capability gaps, and talent access challenges. Outsourcing spans areas like transactional functions (e.g., human resources, finance) and healthcare-specific functions (e.g., revenue cycle management).
Programmatic M&A
Healthcare services and technology companies have seen valuation reductions, leading to shutdowns and alternative-seeking. Strategic and private equity (PE) investors now have opportunities to acquire entities on favorable terms, adding talent and capabilities. PE deal volume in healthcare remains resilient, with fundraising showing positive trends. Mergers and acquisitions can help hospitals improve access to care by broadening the types of specialists or services that are available to patients.
Telehealth
Telehealth continues to take center stage, enabling remote consultations and improving access to care. Telehealth care allows you to talk with your health care provider on the phone or using video using computer, tablet, or smartphone. Telehealth helps online consultation and medical-lab prescriptions for diagnostic and treatment.
AI and Machine Learning in Diagnostics
AI-driven diagnostics enhance accuracy and speed in disease detection. AI algorithms can analyze large volumes of medical data, including patient records, lab results, and medical images, to assist healthcare professionals in making accurate and timely diagnosis. Disease Prevention, Outbreak, and Monitoring another area of impact of machine learning and AI for healthcare is disease prevention and monitoring and predicting potential outbreaks.
Block chain for Health Data Security
Block chain has so many applications in every sector such as healthcare, finance, government, identity, etc. Block chain ensures secure and transparent health data management
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