Wednesday, February 8, 2017

Patient Generated Health Data (PGHD) - The "Killer App"

Technology often goes hunting for a problem to solve, this becoming more evident as technology funding is skyrocketing, producing an environment of technological acceleration.   Healthcare technology fueled by the ACA and the need to reduce cost is in the forefront of the movement.  PGHD, the human endpoint for data collection and the place where answers lie, has been mostly overlooked in medicine, drafting far behind clinically collected data.   PGHD holds the verifiable keys to individual and public health, filling the gaps of clinical data.  PGHD along with IoT devices will provide a  contiguous stream of patient data becoming the"The Killer App" of healthcare and clinical research.

Recently the ONC commissioned Accenture to develop a draft Whitepaper on PGHD,  "Conceptualizing a Data Infrastructure for the capture, use, and the sharing of Patient-Generated Health Data in Care Delivery and Research through 2024".  It is currently in draft and a good overview of the PGHD landscape.  

What I find lacking in the draft is the upcoming deluge of IoT information such as, home and workplace environmental data along with endpoints such as vehicle OBR (On Board Reporting), which impacts a person's health.  It is predicted that we will have thousands of sensors providing bio and environmental data in the very near future.  How and where are we going to store and provide access to this data? How will it be authenticated and secured? Will it become part of our medical record? Who will own and manage the data?


Much of this data will be near real-time streamed data which will need to be cleaned, compressed and analyzed.  EHRs, which focus on the collection of clinical data do not have the ability or architecture to manage this high volume of non-clinical data.  PGHD data is unstructured, it doesn't follow standards such as HL7 or LOINC to name a few, and is mostly stored in proprietary data sets.  The data doesn't fall under HIPAA protection unless it is stored in an EHR raising the liability of the providers and organizations. 


Technology is ahead of the ONC timeline, by 2024 the end date for ONC adoption, I predict the amount of PGHD generated will surpass the amount of clinical data collected, swinging the pendulum of value to the PGHD.  Why, because data is where the answers lie, the value.


The growth cycle will probably need to be brought in two to three years based the current rapid development of sensors and IoT technology.  This will future stress the EHR vendors to attempt to accommodate this data rather than focusing on their core business of providing an interface for providers to access patient data.

Security and privacy are a major concern with IoT sensors and devices.  It takes an architecture that is built from the ground up to support remote client devices. A secure architecture which supports authorization, authentication, data-provenance, non-repudiation and transparency.


A new PGHD data architecture is needed to provide an interface between the EHR and the Patient's devices.  A platform that can scrub, analyze and format results and findings for a provider to access via a portal or EHR.  Health Record Banking may be the solution, a patient controlled standalone distributed database that is secure,  accessible anywhere, anytime and anyplace,