HEALTH INFORMATION TECHNOLOGY

The use of health information technology (HIT) has exploded over the last several years. It is now standard of care in most facilities to use electronic medical records for most all patient encounters. In the field of radiology, digital technology has lead to x-rays and CT scans being accessed on computers versus the days of the old radiograph being examined on a light box. Furthermore, access of these records is much easier so that all practitioners involved in the care of the patient can readily examine them.
 
The use of this technology comes at a very large cost in the development of software, and the use of computer hardware and cloud systems to implement.  Furthermore, there is cost in time and training to learn and utilize this technology.  When a new system is introduced, how can one tell if the time and complexity to learn and implement the system is worth doing because of the increase benefits in the efficiency and the ability to use medical information? How can one determine if it is a good decision to implement a new technology or continue with the existing system and medical records program?
 
The analysis of Broad Data, using cost-effectiveness analysis, can give much clarity to such a decision.  Using a decision tree model, various aspects of how the HIT affects patient outcomes and decision making can be analyzed and quantified. It looks not only at the costs to the patient, but also incorporates how the decision impacts the health of the patient. Thus, using this analysis can assist on figuring how best to proceed with information gathering and sharing, and how that will impact the patient. It can quantify subjective feelings about how the HIT is implemented and its usefulness, thereby opening up the possibility to have much better informed decision.
 
Healthcare has entered a new age. In some ways technology appears to have taken over healthcare, but by cleverly analyzing the best way to do this using cost effectiveness analysis can be of great benefit to patients. 
 
About William L. Matzner, M.D., PhD, FACP 
 
Dr. William Matzner works in the area of healthcare economics consulting at Healthcare Analytics, LLC, in California. He graduated Phi Beta Kappa from Stanford University. He received his M.D. with Honors from Baylor College of Medicine. In 1988, he was the Solomon Scholar for Resident Research at Cedar Sinai Medical Center. Dr. Matzner subsequently was awarded a PhD in Neuro Economics from Claremont Graduate University. He is board certified in Internal Medicine and Palliative Medicine. He has researched and published extensively on the issue of reproduction and immunology in medical literature. He has been in private practice since 1989, specializing in Reproductive Immunology and Internal medicine. 
 
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