Clinicians operating in private practices face certain challenges that doctors in hospital settings simply do not have to worry about. While clinicians in large medical centers have most of their administrative tasks accomplished in-house, those in private practice make more decisions about what kinds of services they want to support. Those engaging in high-quality care for patients that aren't afraid to embrace new developments in technology may find they have the opportunity to work with wearables. Already, many organizations are working with Apple's new health care technology. This new tech is designed to help health care providers to work with raw statistics on patient-generated information. 

Wearables and wellness
By and large, the bigger gains for health care providers seem to be in the realm of preventative medicine. With insight into how a patient's heart rate, weight or blood pressure rises or falls gathered in real-time, doctors can make more accurate pronouncements about overall health quality. The benefit is that you may be able to show your patients exactly what their health choices are doing to them moment by moment with wearables, allowing you to better reach patients. Companies ready to work with wearables data will also have to consider how their medical billing systems will track this kind of support.

On the other hand, this new technology may also eventually benefit diabetic patients. Apple's HealthKit utilizes data gained from glucose measurement tools and Wi-Fi connected scales. Patient consent can send all of this information together in a digital lump that shows up on an electronic medical record. This allows for near-perfect vital signs and statistical data, allowing far better wellness analysis. Some of the major obstacles in the doctor-patient relationship, like the common problem of patients exaggerating exercise time, can be effectively obsoleted with these fact points.  Some doctors believe that this will allow them to keep people out of hospitals by engaging in proactive preventative care.

"If we had more data, like daily weights, we could give the patient a call before they need to be hospitalized," said chief clinical transformation officer at Ochsner Medical Center Dr. Richard Milani‚Äč, according to Reuters.

Predictive health analytics
Utilizing information gained from these wearables and electronic health records might give doctors the opportunity to serve patients better with long-term solutions. By comparing a patient's daily numbers with others suffering from similar environmental factors, it might be easier for physicians to estimate exactly what needs to change. Similarly, these models could provide effective teaching tools for those interested in learning about their own health. Private practices that encounter patients with chronic ailments will find a number of ways to use statistics, which could bolster their own and their patients' understanding.

Using statistical analysis to fight disease is nothing new. As soon as researchers were able to obtain accurate numbers on diseases and the field of epidemology was born, medical professionals have been utilizing mathematics to know how diseases effect populations. However, big data will allow us to use that information more personally. By taking in a variety of different life factors into account, better treatments that fit into the lifestyle of the patient may be recommended. Health care decision makers will want to make sure that their medical billing software will be ready to handle this change.

With wearables and analytics, medical professionals we will be able to understand the how and why of diseases more effectively. Armed with this knowledge, clinicians can target treatments to patients so that they work toward a more balanced life.