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| Dr. William Matzner, Simi Valley, California |
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.
Website: https://drwilliammatzner.com
Consulting Website: https://healthcareanalytics.biz
LinkedIn: https://www.linkedin.com/in/william-matzner-md-phd-mba-60219730
Blog: https://drwilliammatzner.blogspot.com
News: https://hype.news/dr-william-matzner/
News: https://hippocratesguild.com/dr-william-matzner
News: https://medicogazette.com/dr-william-matzner
William Matzner, MD (Simi Valley, California), has been practicing medicine since 1989, Internal Medicine and Reproductive Immunology. M.D. with Honors from Baylor College of Medicine.
Consulting Website: https://healthcareanalytics.biz
LinkedIn: https://www.linkedin.com/in/william-matzner-md-phd-mba-60219730
Blog: https://drwilliammatzner.blogspot.com
News: https://hype.news/dr-william-matzner/
News: https://hippocratesguild.com/dr-william-matzner
News: https://medicogazette.com/dr-william-matzner
William Matzner, MD (Simi Valley, California), has been practicing medicine since 1989, Internal Medicine and Reproductive Immunology. M.D. with Honors from Baylor College of Medicine.
