Innovative methods in data science can play a crucial role in improving healthcare businesses by enhancing patient care, optimizing operations, and supporting medical research. Here are some innovative data science methods that Mediglobo could employ for healthcare businesses:

1. Predictive Analytics for Disease Prevention: Mediglobo can develop predictive models using machine learning and data analytics to identify individuals at risk of specific diseases. These models can leverage patient data, genetic information, lifestyle factors, and environmental data to provide early interventions and personalized health recommendations.

2. Healthcare Chatbots and Virtual Assistants: Develop AI-powered chatbots and virtual assistants for healthcare businesses to interact with patients, answer medical queries, schedule appointments, and provide real-time support. These systems can improve patient engagement and streamline administrative tasks.

3. Genomic Data Analysis: Utilize advanced genomic data analysis techniques to personalize treatment plans based on a patient’s genetic profile. This can lead to more effective and targeted treatments, especially in areas like cancer therapy.

4. IoT Data Integration: Integrate data from Internet of Things (IoT) devices such as wearable fitness trackers and remote patient monitoring devices into healthcare systems. Analyzing this data can provide insights into patient health and enable early detection of health issues.

5. Drug Discovery and Development: Apply machine learning and computational biology to accelerate drug discovery and development processes. Predict potential drug candidates, assess their safety profiles, and identify novel drug-target interactions.

6. Population Health Management: Employ data science to manage population health by identifying trends, patterns, and disparities in health outcomes among different demographic groups. This information can inform public health initiatives and interventions.

7. Data-driven Clinical Trials: Optimize the design and execution of clinical trials through data-driven approaches. Predict patient recruitment, monitor trial progress, and identify potential safety issues more efficiently.

8. Blockchain for Data Security: Implement blockchain technology to enhance the security and integrity of healthcare data. Blockchain can help maintain an immutable record of patient data, ensuring data privacy and reducing the risk of data breaches.

Mediglobo can work closely with healthcare organizations to identify their specific needs and goals, then apply innovative data science methods to address these challenges effectively, ultimately improving patient care and healthcare operations. Additionally, they should prioritize data privacy and security, given the sensitive nature of healthcare data.