On 2017 Jun 25, Thomas Heston commented:

This study performs a meta-analysis in the right way, by following the recommendations from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement. Computer aided diagnosis has been used for many years in radiology prior to the advent of computerized provider order entry incorporation in electronic medical records. Computer aided diagnosis in radiology has consistently been shown to increase diagnostic accuracy and consistency. Computerized provider order entry (CPOE) takes computer assistance beyond diagnosis, and into therapy. The next step for CPOE beyond assistance in medication prescribing, is applying CPOE to order sets. This is commonly done as of 2017. For example, a sepsis protocol order set in the CPOE may generate a dozen or so physician orders. These order sets can decrease further errors that occur when hand writing out orders. The order sets can also decrease errors that occur when the provider has to selecting orders individually from the electronic medical record. What is critically important now is to extend computer aided diagnosis beyond medical imaging into clinical areas. For example, a computerized progam, acting as a digital doctor, could continually survey a hospital's entire electronic medical record database of active patients. This computer program would look at lab results, vital signs, and additional quantitative objective data. These digital doctor programs could then quickly and perhaps more accurately identify significant medical conditions. When a clear diagnosis is identified, the digitial doctor could even initiate order sets automatically. Such a system of computer aided diagnosis in clinical medicine would not only decrease morbidity and mortality, but also decrease healthcare costs. Having common computerized terminology for the variables would allow implementation via a blockchain that would increase interoperability and widespread distribution of these smart applications running on top of electronic medical record systems.

On 2017 Jun 25, Thomas Heston commented:

This study performs a meta-analysis in the right way, by following the recommendations from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement. Computer aided diagnosis has been used for many years in radiology prior to the advent of computerized provider order entry incorporation in electronic medical records. Computer aided diagnosis in radiology has consistently been shown to increase diagnostic accuracy and consistency. Computerized provider order entry (CPOE) takes computer assistance beyond diagnosis, and into therapy. The next step for CPOE beyond assistance in medication prescribing, is applying CPOE to order sets. This is commonly done as of 2017. For example, a sepsis protocol order set in the CPOE may generate a dozen or so physician orders. These order sets can decrease further errors that occur when hand writing out orders. The order sets can also decrease errors that occur when the provider has to selecting orders individually from the electronic medical record. What is critically important now is to extend computer aided diagnosis beyond medical imaging into clinical areas. For example, a computerized progam, acting as a digital doctor, could continually survey a hospital's entire electronic medical record database of active patients. This computer program would look at lab results, vital signs, and additional quantitative objective data. These digital doctor programs could then quickly and perhaps more accurately identify significant medical conditions. When a clear diagnosis is identified, the digitial doctor could even initiate order sets automatically. Such a system of computer aided diagnosis in clinical medicine would not only decrease morbidity and mortality, but also decrease healthcare costs. Having common computerized terminology for the variables would allow implementation via a blockchain that would increase interoperability and widespread distribution of these smart applications running on top of electronic medical record systems.