Would a teenage girl buy the same clothes as her grandmother? The answer is clearly no. But when they get unwell, they’re likely to receive the same medication, despite having various biological differences.
The traditional practice of “one-size-fits-all” to medicine based on broad population averages misses its mark because each person’s genetic makeup is different from everyone else’s. This is where personalization in life sciences comes into the picture, transitioning from ‘selling pills’ to delivering tailored treatments that require a clear understanding of patient.
Read on to know what personalization means and how it makes an impact on the future of life sciences in delivering customized care.
What is Personalized Healthcare?
Personalized healthcare is the enablement and delivery of individual patient care based on a patient’s unique genetic makeup and lifestyle. Enabled by emerging technologies, personalized care represents an exciting bold vision for life sciences industries. It involves tools, strategy, and combined science of genome to facilitate personalized medical care.
With collaborative innovation, where technology is playing a crucial role in healthcare and science fields, life sciences are taking personalization to the next level. Companies are leaning in towards more accurate, predictable, and effective healthcare that is tailored to individual needs.
Personalization- Shaping the Life Sciences Industry in a Big Way
It is no secret that “age of customers” is now blurring the “age of patients” as patients are more empowered related to their health information. Activities that were once prime players in the domain of shoppers – are now considered as table stakes for any health & life sciences company. Such shifts to patient-centric organizational culture require reimagining business with cutting-edge technologies and innovation.
Here’s how personalization driven by technology breakthroughs is enhancing care delivery and impacting the future of life sciences industries.
Accelerated Affordable and Accessible Care through Telemedicine
Telemedicine care is a personalized medical care service that provisions personalized live video doctor consultations. In this service, doctors come face to face over video to assess patient symptoms, diagnose medical conditions and write prescriptions. Patients get personalized attention while staying at their home safely. This personalization service has the potential to make healthcare more affordable and accessible with the promise of anytime, anywhere care delivery.
Did you know?
Global Telemedicine Market is valued at $27.04 Billion currently and it is expected to rise to $171.81 Billion by 2026.
Improved Health and Quality of Life using Digital Twins
Imagine a fully functional model of the human body. A model which is a real-time model (a twin) of a patient that contains patient’s medical record. Applying big data and artificial intelligence, this digital twin will monitor patient’s health, and make recommendations to improve health and quality of life. The protective algorithms provide relaxation advice, create reminders to help patients follow medication for any chronic conditions. This advanced digital interaction with patients put forward multiple opportunities for the life sciences to improve patients’ experience.
Quicker Patient Assessment & Cost Saving using IoMT and Smart Technology
With the emergence of crises, healthcare and life sciences companies have become more data-driven to provide patient-centric services. Technologies like Internet of Things, Smart Wearables, and now Internet of Medical Things (IoMT) have given individuals ownership over their data so that they will be data empowered.
The Internet of Medical Things (IoMT) is a combination of medical devices, wearables, mobile apps and even smart pills that equip staff with the ability to check a patient’s medication routine. This connectivity will enable quicker assessments and provide customized patient healthcare data. Moreover, the data collection benefits which are improving access to constant, real-time and accurate data, wearable technology could also help in cost savings in paper process and health record management.
Prediction of Outbreaks & Demands Have Become Easier using Big Data
Using big data analytics, life sciences companies can offer accurate and preventive care. The technology supports predictive analysis of patient records and emergency visitors which help pharma companies to gain insight about the diseases and market. Furthermore, companies can make budget estimates for production based on accurate demand predictions using advanced data analytics. Aggregated data boosts personalization in life sciences in terms of developing therapeutic and pharmaceuticals-based patient solutions. For instance, data generated against frequent medical conditions to predict and prepare for serious outbreaks.
Improved and Accurate Diagnosis of Diseases using AI
Personalization using technologies including Artificial Intelligence, Machine Learning, NLP, Data Science helps the life sciences industry make better decisions to pursue in the future. In fact, Life Sciences companies spend on Artificial Intelligence is expected to reach the $34 billion mark in the US by 2025.
Intelligent algorithms work on identification of new diseases, accelerate research work, and even diagnose disease similarities. Machine Learning technology reduces time to a great extent to develop, manufacture and launch new patient therapies and medical solutions. Deep Learning, on the other hand, automates diagnostics through automated immunohistochemical measurement systems. And AI with human collaboration is used to create personalized health recommendations.
Conclusion
Personalization driven by emerging technologies and data is going to be life changing for both industry and recipients of medical care. The continued adoption of patient-centric culture will infiltrate all parts of the ecosystem- right from affordable and effective individual care to prediction and cost-effective production of medical needs. Companies will continue to face regulatory and data security challenges but taking risks and thinking strategically in the height of crises, will help them harness the tremendous benefits in support of personalization opportunity.
Personalized health ecosystem is on the verge of change. How ready is your organization to embrace personalization to thrive in patient-centric world? Consult with us today to make a digital move and sustain the life sciences future. And be sure to follow us on LinkedIn for the latest news and updates!
Key Takeaways
- By partnering with an IT services provider like 9NEXUS, organizations can access specialized talent to address specific project needs and skill gaps.
- AI-powered solutions can accelerate drug discovery, improve patient outcomes, and optimize clinical trials.
- With a team of experienced IT professionals, 9NEXUS can help organizations integrate AI technologies, improve data management, and enhance decision-making.
Frequently Asked Questions (FAQs)
IT staff augmentation involves hiring external IT professionals to supplement an organization’s existing team. This strategy can help healthcare organizations address skill gaps, accelerate project timelines, and reduce costs.
Generative AI can be used in various ways to improve healthcare outcomes, including:
- Drug Discovery: Accelerating the discovery of new drugs by generating novel molecular structures.
- Medical Image Analysis: Improving the accuracy and efficiency of medical image analysis, such as detecting tumors in X-rays.
- Personalized Medicine: Developing personalized treatment plans based on individual patient data.
- Patient Engagement: Creating personalized patient experiences and improving communication between patients and healthcare providers.
Some of the challenges include:
- Data Quality and Quantity: Ensuring access to high-quality and sufficient data for training AI models.
- Technical Expertise: Acquiring and retaining skilled AI professionals.
- Ethical Considerations: Addressing ethical concerns related to data privacy, bias, and transparency.
- Regulatory Compliance: Adhering to regulatory requirements and industry standards.
9NEXUS can provide a range of services to help healthcare organizations implement GenAI solutions, including:
- Staff Augmentation: Providing skilled IT professionals to augment existing teams.
- AI Consulting: Offering expert advice on AI strategy and implementation.
- Data Engineering: Preparing and cleaning data for AI models.
- Model Development and Training: Building and training AI models tailored to specific healthcare needs.
- Deployment and Integration: Deploying AI solutions and integrating them with existing systems.
Potential risks include:
- Bias: AI models may exhibit bias if trained on biased data.
- Privacy Concerns: Protecting patient data and ensuring compliance with privacy regulations.
- Job Displacement: AI could potentially automate certain tasks, leading to job displacement.
To mitigate risks, healthcare organizations should:
- Use diverse and unbiased data to train AI models.
- Implement robust data privacy and security measures.
- Regularly monitor and evaluate AI models for bias and accuracy.
- Establish clear guidelines for the ethical use of AI.
- Collaborate with experts in AI ethics and regulation.
