The Birth of Orthopedics 4.0
Get read for the next shift in Orthopedics – the “Predictive” wave.
A few savvy device companies will get ahead of this trend. There will be a ton of opportunity for those that “get it” and can capitalize on the Predictive wave. Surgeons will want to tap into these new Predictive tools, healthcare will want to leverage it, and insurance providers will want to monetize it.
A few years ago, I predicted that software was starting to eat orthopedics. Well its happening. The software change is here. Recently launched orthopedic products contain some sort of a software component. This was the Orthopedics 3.0 shift [read more here].
Learning from other industries.
As usual, Orthopedics lags behind other industries. You know that the thinking in our industry is still “implant-centric” and “relationship-based”. However, the good news is that we have the opportunity to learn from the other industries that have embraced “predictive”. These industry are much earlier in the predictive adoption curve.
A few examples of predictive tools 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 most at 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 technology?
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.
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?
- Which surgeon is the best for this surgical procedure and this patient?
- 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?