Precision Medicine is an emerging model of healthcare that combines all information unique to an individual and identifies prevention and treatment strategies that will be effective for them based on genetic, environmental and lifestyle factors. 

The Path to Precision Medicine

Every step you take towards delivering personalized healthcare is valuable. Orion Health’s end-to-end unified healthcare solution, with integrated real-time analytics, care coordination and patient engagement applications, will future proof your journey. From interoperability, to population health management, and precision medicine – Orion Health has the products and services to help you navigate your path through the shifting sands of the US healthcare paradigm.

Consequently, we have devised what we believe are the seven key stages in the journey to precision medicine – the seven “A’s”, as outlined below:


For most healthcare organizations or networks, key data resides in a wide range of internal and external source systems. Multiple EHRs and other clinical systems within the organization format, store and share data in many different ways. 


Each of the systems contributing data to a healthcare network has its particular conventions for formatting and sharing data. Even common EHR and other Healthcare Information System (HIS) platforms can alter their data formats from version to version of the software.


Mining data for views into population health, finding the actionable insights that can drive improvements to quality and efficiency, keeping up with the ongoing and ever-increasing regulatory reporting requirements – all of these issues and many more drive the need for analytics as a fundamental component of a successful integrated health network. 


Several different types of stakeholders will need secure access to various aspects of a healthcare network’s data such as clinicians, administrators, health information management (HIM) professionals, patients, family members, health insurers and many others. 

5. ACT

Too much data and too many ways to use it can create paralysis and diffusion of resources. Putting an IT infrastructure to work in support of effective data-driven action means giving healthcare providers tools to insert actionable insights into their daily workflow, allowing them to continue to do their jobs but with the added value derived from population and individual patient data analyses.


Once the population has been stratified and cohorts of interest have been identified via Analytics, customized action plans can be put in place for each patient and care coordinated across facility lines accordingly. 


Humans tend to be deeply resistant to change, and getting everyone to use an integrated system initially, and on an on-going basis, can be a major challenge.

A new era of healthcare

Outcomes-focused healthcare models require a modern open platform to connect and leverage data from multiple systems across the community. Increasingly, healthcare organizations and networks are seeking advice and IT support to put in place the infrastructure required to achieve the level of information sharing modern healthcare requires.

The guidelines and best practices outlined at a high-level in this paper can help provide a roadmap for organizations seeking to chart the course for IT infrastructure development as part of their journey to achieve better health outcomes while reducing healthcare costs, delivering population health management and future proofing themselves to enable Precision Medicine. 

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