Every individual is different, and yet medication dosages have historically been based on an average of averages. That’s slowly starting to change thanks to advancements in technology.
Today, the idea of personalized medicine is becoming a reality. Personalized medicine is the practice of healthcare treatment plans specialized down to an individual’s fingerprint level. According to the SAP eBook Connected Care: The Digital Pulse of Global Healthcare, Big Data and predictive analytics are key technologies behind the development of truly personalized medicine. Thanks to these technological advancements, life sciences companies and hospitals can now access and analyze multiple sources of information to create more effective personalized treatments.
Personalized precision medicine
Last year, the U.S. introduced the Precision Medicine Initiative, a new research effort aimed at revolutionizing how diseases are treated. Precision medicine involves classifying people into subpopulations that differ in relation to a particular disease, and then creating medication and treatment plans that suit each specific group.
Developing medication suited to targeted populations requires the collection of enormous amounts of data from a wide range of sources. These sources can include a variety of patient health records, DNA tests, genome studies, treatment outcomes, electronic health records (EHRs), and clinical trials that can help healthcare professionals gain the insight they need to create individual or group treatment plans. Big Data and predictive analytics technology can be used to analyze the massive volumes of data to reveal connections and patterns that enable the development of personalized precision medicine.
Patients have more options with personalized sealthcare
Hospitals are becoming more integrated and are combining data about prevention and treatment to provide patients with a more comprehensive picture of their options. Data visualizations can be used to enhance medical decisions by letting doctors and patients see different treatment possibilities, such as the likely outcomes of surgery versus less invasive alternatives. This can help patients and caregivers consider their options and choose the best course of action given their specific circumstances.
According to the SAP Connected Care eBook, healthcare providers should consider:
- Using Big Data technology to break down data silos and process data from many sources to provide more options and improve health outcomes.
- Using data visualization to help doctors, surgeons, and patients make fact-based treatment decisions in real time.
With the ongoing transformation of traditional healthcare models, Big Data technology and predictive analytics will play an increasingly vital role in the evolution toward personalized medicine.
For an in-depth look at how technology is changing the face of healthcare, download the SAP eBook Connected Care: The Digital Pulse of Global Healthcare.
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