What would you expect are the potential consequences of information overload in an intensive care unit? Why is it important for to help doctors meet this kind of mental demand ?

Case Studies In Health Information Management
3rd Edition
ISBN:9781337676908
Author:SCHNERING
Publisher:SCHNERING
Chapter1: Data Content, Structure, And Standards
Section: Chapter Questions
Problem 1.16.1C
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What would you expect are the potential consequences of information overload in an intensive care unit? Why is it important for to help doctors meet this kind of mental demand ?
The Mayo Clinic might seem like a strange candidate for work redesign. The organization is known for setting the gold standard for patient
care. Each year, more than a million patients, many with complex health conditions, travel to the main campus in Rochester, Minnesota, or
to facilities in Arizona and Florida. There they receive "patient-centered care," in which a team of doctors collaborates on treatment,
consulting one shared medical record for each patient. Próviding these services brings in annual revenues of nearly $14 billion.
Changes in the U.S. health care system are making past practices unsustainable, however. Mayo's CEO, Dr. John Noseworthy, observed that
as health care costs continue to rise faster than inflation, payers-Medicare, Medicaid, and private insurance companies-are all putting caps
on what they will pay, even as an aging population needs more care. Payers are insisting that doctors and hospitals start thinking more like
businesses and figure out ways to deliver consistent patient care more efficiently. Dr. Noseworthy determined that protecting Mayo Clinic's
future would require him to lead a rethinking of how work is done in every part of the organization, a project he named the Mayo Clinic
2020 Initiative.
For the hundreds of projects in this initiative, the changes include some restructuring of jobs. For example, a review of the care given to
patients with epilepsy found that some services doctors were providing could be delivered just as well by nurses. Expanding nurses' jobs in
this way not only lowered the cost of a visit, it also freed up a quarter hour of time per patient for doctors to visit new patients. Similarly, a
review of care following heart surgery led to a decision that nurses should have more control over that process.
The very act of launching the 2020 Initiative changed the jobs of Mayo's physicians. Previously their role was all about health care, with the
doctors assuming the clinic would provide whatever resources they requested. Now their role has expanded to include decision making
aimed at eliminating wasted time and money. For example, heart surgery teams competed to see which team could best shrink the time to set
up operating rooms between surgeries. No prizes were awarded, but the friendly competition cut the average time in half.
Efforts to improve work processes have also addressed the problem of information overload. Mayo Clinic observed that doctors had available
as many as 50,000 data points about any given patient–too much to process quickly and accurately. To improve care in the clinic's intensive-
care units, a team of researchers and IT experts interviewed doctors to identify which pieces of data are most important to their work. They
identified several dozen and designed a system to display this data set, highlight relevant measures with color coding, and deliver alarms
Transcribed Image Text:The Mayo Clinic might seem like a strange candidate for work redesign. The organization is known for setting the gold standard for patient care. Each year, more than a million patients, many with complex health conditions, travel to the main campus in Rochester, Minnesota, or to facilities in Arizona and Florida. There they receive "patient-centered care," in which a team of doctors collaborates on treatment, consulting one shared medical record for each patient. Próviding these services brings in annual revenues of nearly $14 billion. Changes in the U.S. health care system are making past practices unsustainable, however. Mayo's CEO, Dr. John Noseworthy, observed that as health care costs continue to rise faster than inflation, payers-Medicare, Medicaid, and private insurance companies-are all putting caps on what they will pay, even as an aging population needs more care. Payers are insisting that doctors and hospitals start thinking more like businesses and figure out ways to deliver consistent patient care more efficiently. Dr. Noseworthy determined that protecting Mayo Clinic's future would require him to lead a rethinking of how work is done in every part of the organization, a project he named the Mayo Clinic 2020 Initiative. For the hundreds of projects in this initiative, the changes include some restructuring of jobs. For example, a review of the care given to patients with epilepsy found that some services doctors were providing could be delivered just as well by nurses. Expanding nurses' jobs in this way not only lowered the cost of a visit, it also freed up a quarter hour of time per patient for doctors to visit new patients. Similarly, a review of care following heart surgery led to a decision that nurses should have more control over that process. The very act of launching the 2020 Initiative changed the jobs of Mayo's physicians. Previously their role was all about health care, with the doctors assuming the clinic would provide whatever resources they requested. Now their role has expanded to include decision making aimed at eliminating wasted time and money. For example, heart surgery teams competed to see which team could best shrink the time to set up operating rooms between surgeries. No prizes were awarded, but the friendly competition cut the average time in half. Efforts to improve work processes have also addressed the problem of information overload. Mayo Clinic observed that doctors had available as many as 50,000 data points about any given patient–too much to process quickly and accurately. To improve care in the clinic's intensive- care units, a team of researchers and IT experts interviewed doctors to identify which pieces of data are most important to their work. They identified several dozen and designed a system to display this data set, highlight relevant measures with color coding, and deliver alarms
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