3 key perspectives on artificial intelligence solutions to healthcare
At Lytics we are very excited about patient benefit. In fact we value it so highly we never venture into a project without a clear, direct or indirect, value to the patients. This is the group we have decided to serve.
To change healthcare and be an integral part of providing better care is the reason why we are here. Direct benefits such as predicting and preventing a hospital visit or empowering a chronic care patient to better manage the disease are two examples of direct benefit that tick all the boxes with us.
Indirect benefits such as lowering cost of care to a patient cohort or making a medical device more accurate are also very relevant to us at Lytics. Lowering cost of care can mean more patients can be provided with care and making a medical device more accurate equals a healthier patient in the long run.
We do not necessarily need to be the interface to the patient; in fact we often provide the backbone of the analytics conveyed by a compelling user interface from one of our partners.
All projects we undertake include a value discussion. Even for R&D projects. What will our technology contribute to if the project is successful? Sometimes we venture into projects on an outcome basis and other times we provide our services under a consultancy. Also, we invest in point solutions for specific diseases.
With the value discussion there is a concurrent data opportunity investigation. In our line of work the value lies in the potential extraction of data with predictive powers. That is why getting an overview of the data is one of the first things we do. If the data is insufficient, of bad quality or simply don’t have the potential imagined we discontinue the project.
If the data is promising the value analysis is commenced resulting in a business model and defined ways to move forward with the venture.
Central to AI solutions in healthcare is the technological perspective. Is the proposition a big data project? In our line of work the value lies in the potential extraction of data with opportunity to provide better solutions. That is why getting an overview of the data is one of the first things we do to secure the right thing is to work with us.
Whilst big data projects can add tremendous value to an organization or patients in the form of streamlined processes, higher quality, better care etc. there are reasons to be careful too. What many disregard when venturing into big data projects is the high failure rate. Insufficient data, too few patients, corrupt data, clouded purpose; organization not being prepared to change and adopt new ways of working are some of the pitfalls. To ascertain to both parties our collaboration is worthwhile we deploy a strict due diligence procedure. In the process we make sure the data is plentiful and has predictive powers and there is value in the work.
The due diligence procedure is also a great way for the partnering organization to get aligned internally and prepare for the new ways of working.
After the due diligence is completed the full data pilot is carried out. This is different from the Rich Data evaluation in the sense it is a major undertaking looking at all aspects of data. The results from the pilot are discussed in a seminar where the domain specialists contribute with their expertize. At the seminar business representatives make sure the business case is still solid. The seminar typically results in a refined solution and a couple of new parameters. Then the scope of work is locked and the crafting of the final solution takes place during the build period. When the solution is finished the quality assurance and regulatory approval takes place. Finally the solution starts its life and can contribute to a better life for patients.