6 Strategies For Creating A More Data-Driven Healthcare System

6 Strategies For Creating A More Data-Driven Healthcare System
Health

In our latest Future of Health report, PSFK provides specific recommendations that can help organizations better understand how to leverage large amounts of data in their day-to-day practices

PSFK Labs
  • 14 august 2017

Our latest report, the Future of Health, explores how the role of data in healthcare has evolved from a static into a living profile that grows with patients. Today, we are looking at specific recommendations developed within the report that can help all organizations better understand how to leverage large amounts of data, and use that information in their day-to-day practices.

As data is an essential component of precision healthcare, health organizations need to commit to transforming their internal structures to focus on collecting and analyzing patient data. By realigning priorities around these six fundamental principles, healthcare organizations will ensure their preparation for a data-driven future:

Build 360-Degree Data Profiles

Recording patient information has become such a cumbersome aspect of the care process that doctor’s offices can feel more like data intake centers. Offload the work of data collection by integrating existing data streams from consumer products, medical technologies and ambient environmental databases in order to build a holistic patient dashboard that offers a comprehensive starting point.

Leverage AI Nurses To Humanize Healthcare

Patient-provider interaction is a vital tool in reducing anxiety, improving adherence and ensuring comfort during the treatment journey. Employ voice assistants, AI chat tools and in-home IoT to offer additional interaction points for patients—answering preliminary questions, offering reminders or encouragement and referring to a professional when necessary—without straining the limited resources of healthcare providers.

Augment Human Expertise With Cognitive Analysis

While physicians remain key decision-makers in diagnosis and treatment, supplement their knowledge with access to machine learning analysis, which can help spot patterns and factor for variables that humans may miss or otherwise offer healthcare providers additional confidence in their assessments.

Extend Care Through A System Of Health IoT

Currently, the moment when a doctor writes a prescription for a medication or treatment is the last interaction point between a patient and provider before a follow-up visit. Transform this handoff moment into the start of a longer- term care relationship by assigning ongoing data collection tools for customers in their home lives. By establishing data-sharing and communication channels for patients and health teams, providers can monitor healing remotely and catch complications before they arise.

Deliver Custom Treatment Through Dynamic Manufacturing

Clinics are limited in their ability to offer individualized products and treatments due to the rigidity of associated manufacturing and distribution processes. Invest in or partner with providers that leverage emerging digitized manufacturing processes, which offer the flexibility to produce and deliver custom medications, technologies and services at scale.

Implement Responsive R&D Through Data Feedback Loops

Data is being gathered through an entire patient cycle of diagnosis, treatment and recovery. Ensure actionable data results from all parts of the cycle are fed back into the system, enriching the system with more data and insights and making the R&D process agile. Using aggregated data in the R&D process and creating a true cycle of data allows for smarter manufacturing, care and security practices.

Download the Future of Health report now!

Our latest report, the Future of Health, explores how the role of data in healthcare has evolved from a static into a living profile that grows with patients. Today, we are looking at specific recommendations developed within the report that can help all organizations better understand how to leverage large amounts of data, and use that information in their day-to-day practices.

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+artificial intelligence
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+future of health 2018
+Health
+Healthcare
+IoT
+personalization
+technology

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