Technology in the field of fall prevention and protection from injury has advanced in the utilization of artificial intelligence (AI) with predicative modeling.  Data and data analytic systems capture and utilize patient information through wearables,7 sensors in garments and footwear; smart technology embedded within beds, chairs, commodes and other durable medical equipment.  Predicative modeling is being embedded into alert systems such as communication and nurse call, and electronic healthcare records.  Data analytics will drive advances in fall prevention and protection from injury \cite{Baus2016}.  Leaders must plan for and incorporate a technology strategy to maximize the utilization of AI within their organization to create safer environments \cite{solutions2014}.
Technology is also advancing into the physical environment with systems designed to create safer environments.  New advancements utilize high performance monitoring systems to reduce physical sitters needed for individual observation (Mccurley 2014).
In the field of fall prevention and protection from injury, there is a focused approach to restore muscle strength and balance.  In the inpatient arena, technology has influenced advancements in rehabilitation equipment that is supporting earlier mobilization \cite{mm2017}.  In the outpatient arena, exercising and classes such as Tai chi have provided methods to help individuals at high risk for a fall with an overall approach to strengthen muscles. While these classes are good they are problematic in many ways for individuals.  Emerging is 3D technology and interactive games which have the potential to be customizable to the individual capabilities.   
The use of technology must be approached with the understanding that it is multifocal, evolutionary and not static in both use and understanding.  Investments of resources both capital and human are on-going and need to be planned for as such \cite{Hamm_2016}.

Metrics

Topic
Falls with Injury
Total falls with injury (E through I on the NC-MERP classification scale)
Outcome Measure Formula:
Numerator: Falls with Injury
Denominator: Total Adjusted Patient Days
*Rate is typically displayed as Total Falls with Injury/Adjusted Patient Days * 1000
Metric Recommendations:
Direct Impact: All patients
\(Lives\ Saved\ =\ \left(Falls\ Rate_{baseline}\ -\ Falls\ Rate_{measurement}\right)\cdot Adjusted\ Patient\ Days_{measure}\)
Notes:
Adjusted Patient Days is defined as:
\(Inpatient\ Revenue\ +\ Outpatient\ Revenue\ +\ \left(\frac{\left(Miscellaneous\ Revenue\right)}{\left(Inpatient\ Revenue\right)}\right)\cdot Total\ Patient\ Days\)
Data Collection: 
Data collection is dependent upon the information obtained from employees who were involved with the fall. Typically this is obtained through unusual occurrence reports.    Data should be obtained on every fall that occurs within the organization.  Utilizing the data to obtained trends or patterns will help to further engage discovery on contributing factors within the organization.  
Mortality (will be calculated by the Patient Safety Movement Foundation):
The estimated inpatient mortality per fall is 0.055 \cite{quality}.

Appendix A