Healthcare Data Analytics Can Help Physicians with Better Job Performance

While the majority of physicians are competent, the power of Big Data can help physicians improve their service to patients; as such, data analytics are now increasingly being used to measure physician performance levels.  One area that needs improvement in particular is the prevention of potential blood clots in US hospitals. Clinically referred to as deep-vein thrombosis or DVT, this condition refers to a blood clot that originates in a vein deep in the legs or lower abdomen.  The clot can then interfere with blood flow and in some cases, it can break up and create blood clots that travel via the blood and be lodged in the lungs where they can cause major organ damage, and even lead to death.  In fact, according to the Center for Disease Control (CDC), approximately 60,000-100,000 people in the United States die from blood clots each year.

 

How good are your doctors?

How good are your doctors?

With that said, these blood clots in patients are preventable.  How?  Well, if the patients at risk are given the appropriate medications, these blood clots can be minimized.  However, according to studies, some physicians are not prescribing blood clot prevention medications to patients with certain blood clot risk factors.

 

Some of the Blood Clot Risk Factors Include:

 

  • Vein Injury due to Injury or Major Surgery
  • Tubes Placed in Veins for Medical Treatment
  • Long Car Rides and Airline Trips
  • Limited Mobility due to Medical Reasons
  • Abdominal Cancer or Heart Failure
  • Being Overweight
  • Being Over Age 60
  • Being Pregnant
  • Previous or Family History of Blood Clots
  • Taking Birth Control Pills
  • Being a Smoker
  • Having High Blood Pressure

 

How Can Physician Performance Improve?

 

While reprimanding particular doctors can lead to an uncomfortable situation, issuing a “report card” of sorts to all doctors based on data analytics can be a more effective way of managing physicians and improving positive treatment outcomes in the process.  Of course, variables such as risk factors, complications, and volume of patients will also be taken into consideration when evaluating doctors.

Additionally, the hospital administration will work with the physicians to help improve their “report card”.  For example, physicians may simply need additional medical decision support tools to help them with patient assessments.

 

To conclude, data analytics offers a great opportunity to improve physician performance and increase patient treatment outcomes as well.

 

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