How does AI help to change the healthcare industry?

1/ Key takeaways

AI is revolutionizing healthcare by automating complex documentation and accelerating the discovery of life-saving medications like Rentosertib. To succeed in this digital era, organizations must move beyond small pilots and collaborate with trusted technology partners to build secure, scalable systems.

2/ How does AI help to change the healthcare industry?

2.1. What’s AI

Artificial intelligence refers to the simulation of human intelligence in machines. These machines are programmed to think like humans. They can learn, reason, and self-correct. AI systems analyze vast amounts of data. Then, they identify patterns and make decisions. Machine learning is a subset of AI. It allows systems to learn from data without explicit programming. Deep learning takes this further, using neural networks. These networks mimic the human brain. AI encompasses various technologies. These include natural language processing and computer vision.

2.2. Benefits of using AI in healthcare sector

– Improved diagnostic accuracy: Doctors often face massive amounts of patient data. AI algorithms analyze medical images and lab results with incredible precision. These systems identify patterns that might be invisible to the human eye. Consequently, early detection of diseases like cancer becomes much more reliable. This leads to better outcomes and saves more lives every year.

– Personalized treatment plans: Every patient has a unique genetic makeup. AI helps clinicians create custom therapies based on specific DNA profiles. By processing vast research databases, these tools suggest the most effective medications. This reduces the trial-and-error approach often seen in traditional medicine. Patients recover faster when their treatment fits their biology perfectly.

– Enhanced administrative efficiency: Medical staff spend hours on paperwork instead of patient care. AI-powered software automates scheduling and billing tasks instantly. These tools can also transcribe doctor-patient conversations into digital records. Because the system handles the routine work, burnout rates among nurses decrease significantly. This allows the team to focus on the human side of healing.

– Remote patient monitoring: Virtual care is no longer just for emergencies. Smart wearables use AI to track heart rates and glucose levels in real-time. These devices alert doctors immediately if a patient’s vitals drop. Patients living in rural areas gain access to high-quality care without traveling. This constant connection provides a safety net for those with chronic conditions.

– Accelerated drug discovery: Developing new medicine usually takes over a decade. AI simulates how different chemical compounds interact with human cells. This technology narrows down potential candidates in a fraction of the time. Therefore, pharmaceutical companies can bring life-saving treatments to market much faster. This shift lowers costs and sparks innovation across the entire medical field.

2.3. AI applications in healthcare sector

Industry leaders are rapidly adopting AI in healthcare to solve complex challenges across global markets.

Microsoft has recently announced its Dragon Copilot, an AI healthcare tool that can listen to, and create notes on, clinical consultations. Key features of Dragon Copilot allow clinicians and other care providers across specialties to: 1/ Streamline documentation: Clinicians can take advantage of multilanguage ambient note creation, automated tasks and multilanguage support, personalized style and formatting, natural language dictation capabilities, speech memos, editing, customized texts, templates, AI prompts, and more in one singular user interface. 2/ Surface information: The embedded AI assistant functionality allows clinicians to conduct general-purpose medical information searches from trusted content sources. 3/ Automate tasks: New capabilities allow clinicians to automate key tasks, such as conversational orders, note and clinical evidence summaries, referral letters, and after-visit summaries, in one centralized workspace.

A Hong Kong-based company, Insilico Medicine, has been working on an experimental medication where generative AI is used to identify both the therapeutic compound and the biological target. In March 2025, this clinical-stage GenAI-driven biotech company announced that the United States Adopted Names (USAN) Council had given its revolutionary drug candidate for idiopathic pulmonary fibrosis (IPF) ISM001-055, the official name Rentosertib.

3/ Hola Tech’s pov:

To remain competitive, organizations must transition from isolated pilots to a robust, enterprise-wide AI strategy that prioritizes immediate value and long-term scalability. You should start by focusing on high-impact workflows, such as automated capacity management and ambient documentation, which provide measurable ROI while reducing staff burnout. It is crucial to ensure all new tools integrate directly into your existing EHR systems to maintain a smooth clinical workflow. Furthermore, establishing a cross-functional governance council will help your team monitor for algorithmic bias and ensure total patient safety. Because navigating complex global regulations and high-performance infrastructure is difficult, you should collaborate with a trusted technology partner. This strategic alliance provides the necessary security guardrails and scalable frameworks required for modern medicine. By leveraging external technical expertise, your medical staff can stay focused on delivering high-quality patient care.

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