Get ready for the next shift in Orthopedics – the “Predictive” shift.
Very few savvy device companies are working in this area. There will be a ton of opportunity for those who “get it” and can capitalize on the Predictive wave. Surgeons will want to tap into these new Predictive tools, Healthcare Providers will want to leverage it, and Insurance Providers will want to purchase access to it.
The Orthopedics 3.0 shift was all about automation and personalization, and we are well into it now. [more here].
A few years ago, I predicted that software was starting to eat orthopedics. Well its happening. New orthopedic products contain some sort of a software component.
We are about to enter Orthopedics 4.0.
Learning from other industries.
As usual, Orthopedics lags behind other industries. Too many people are still thinking “implant” and “relationship”. However, the good news is that we have the opportunity to learn from the other industries that have embraced “predictive”. These industries have moved well into the predictive adoption curve.
Examples of predictive adoption in other industries:
- The agriculture industry is uses predictive software to choose when to plant, nurture and harvest.
- The mining and oil industry is uses predictive technology to determine where and when to drill or mine.
- The weather industry uses predictive technology to tell us what weather is coming.
- Universities use predictive to proactively determine which students are at most risk of dropping out, and what can we do to prevent it.
- Banks are use predictive to proactively determine unhappy customers based on their transaction behavior.
- You are using predictive technology on driving trips in real-time to guide you to your destination as efficiently as possible around construction and accidents.
Focusing back on Ortho.
So, how can the Orthopedics industry use predictive tools?
The focus in Orthopedics will move from data collection to data analysis in predictive tools. In other words, the focus will shift from a rear view mirror perspective to looking at the road ahead.
In the next few years, Predictive software provided by savvy device companies will guide healthcare in all steps in patient care, including – early treatment, the operative procedure and followup. The entire episode of care will use a Predictive Ecosystem.
Examples of areas for predictive tools:
- Where is the fracture and does it need to be treated?
- Where is the cartilage defect today and what is the best treatment for longevity?
- What age is the best time to implant a hip or knee replacement in a specific patient?
- Which implant materials will be best received for the patient based on their genome?
- What is the quality of bone in the patient and how will this effect the procedure?
- What implant is best to prevent dislocation in this specific patient?
- What implant will have the best outcome for the specific surgical application?
- Should there be backup implants delivered for the case?
- Which surgeon is the best for this surgical procedure and this patient?
- Is a rep needed for the case?
- What should the surgeon do right now? Real-time guidance with the surgeon during the procedure, based on thousands of like surgeries.
- What personalized physical therapy regimen will result in the best outcomes for this specific patient?
- When should the patient return to work or decrease pain medication usage?
- When should the patient remove the brace? jog? or play golf?
- How do we monitor the patient remotely, without burden on the healthcare system?
- How can Clinical Trials use predictive analytics to identify candidates for a quicker, cheaper study?