Striving towards future-proof interoperability of medical data
With the proliferation of health tracking devices, the idea of quantifying ones general health and wellbeing through data is stronger then ever. There is an increasing number of services offering routine blood tests, fitness level testing, even DNA sequencing and they are becoming available on a mass scale. We are gathering healthcare data about ourselves hoping that with the help of new technologies such as AI and predictive algorithms we will be able to detect health issues early on. Detecting disease early on will ultimately improve our quality of life and help reduce healthcare costs.
We want to share data that we collect with scientists and researchers in the hope that big data and machine learning will bring about breakthroughs in finding a cure for cancer and other ailments.
The reality however, is far from our desired expectations.
What we receive
- Raw data without context resulting in little actionable info.
- The data collected is at best a histogram of a particular data set.
- Data is scattered across different apps and ecosystems.
- At most, data can be shared in non-machine readable formats.
What we need
1. Data that’s independent from app/device/ecosystem.
2. Data that can be combined from various sources (clinical & wellness) and complemented with additional data later.
3. A user-centric personal health data repository.
4. Data that can be easily read and interpreted by 3rd parties (esp algorithms).
5. Security, transparency, control & ownership.
We can get there with a common data layer.
A common data layer for healthcare
Medical device manufacturers and healthcare providers so far haven’t had the right incentives to strive towards future-proof interoperability. In the USA, legislation and incentives such as Meaningful Use, MACRA, and HITECH, significantly contributed to the penetration of EHR systems, forgetting the importance of standards to achieve interoperability.
The number of medical devices and sensors capturing healthcare data is increasing. At Iryo, we believe, we must be cautions to prevent a further fragmentation of medical data, which could occur if medical and IoT device companies each create their own proprietary standards and software, instead of adopting open standards for medical data capturing. If these data capturing providers adopted common standards in their development phase, the interoperability would be assured in advance.
The common layer that Iryo is providing, assures medical device manufacturers several data management benefits:
- Security
- Legal compliance
- Transparency
- Interoperability
- Immutability
With Iryo, data becomes future-proof regarding interoperability and user privacy protection. This unlocks the secondary potential of data, enabling:
- research based on big data analysis, machine learning
- the development of predictive algorithms
- supporting tele-medical solutions
For the medtech and IoT providers, Iryo as a data solution is the perfect gateway to clinical and non-clinical ecosystems. Iryo offers enhanced UX through whitelabel customer apps, and bleeding-edge data security with built in legal compliance.
Iryo upgrades raw data to structured, semantically interoperable data sets which will ensure a competitive advantage and support vital research and clinical work.
