"Duke University Health System, Beth Israel Deaconess Medical Center, and Others: Medical IT Is Getting Personal, please referring to the following screenshots, reply to these questions:

1.What are the benefits that result from implementing the technologies described in the case? How are those different for hospitals, doctors, insurance companies and patients? Provide examples of each from the case.

2.Many of the technologies described in the case require access to large volumes of data in order to be effective. At the same time, there are privacy considerations involved in the compiling and sharing of such data. How do you balance those?

3.What other industries that manage large volumes of data could benefit from an approach to technology similar to the one described in the case? Develop at least one example with sample applications..

CASE 2 real Duke University Health System, Beth Israel Deaconess Medical Center, and Others: Medical IT Is Getting Personal ersonalized medicine brings to mind researchers medical record number into the Anvita Health decision e patient's genetic suppoet system. Data from Beth Israel's records system, makeup, and fine-tuning medicine and other treatments tosuch as recent lab tests and allergies, are automatically those results. But Duke University Health System is using loaded into the software. The doctor then adds information everyday data from the electronic medical records of patients, on the current complaint, such as symptoms, which area of doing complicated analysis of a combined with an analytics tool to personalize its appre to treating patients as whether the person has any implants that might interfere County health officials recently asked Duke how with radiology treatment many ot its patients would need priority access to the HINI flu vaccine. Duke used IBMs Cognos to sift through patients in its Oracle-based clinical data repository and in an hour was able to identify shout 120,000 of them with risk factors pregnancy, respiratory, and other conditions The software analyzes the data and rates the best tests for the patient, giving five stars for the top choices and one for the worst ones based on the risks and benefits of each. It can also recommend that the patient forgo radio- information on the more than 20 million logical testing The system can eatch details that might otherwise that made them vulnerable to complications from swine elude a doctor, such as a previous blood test indicating de- flu. And now that the HINI vaccine is available, Duke crsed kidney function that could mean the patient can't is letting those patients know that they're first in line metabolize the dyes used in certain radiological tests. It lso checks how much radiation the patient has already to get it. been "We put an analytics engine on top of our clinical repository and were able to stratify by age and key ill- exposed to. cessive radiation can cause second malignanci nesses millions of records, and streamline who was most says Dr. Richard Parker, medical director of Beth Israel's at risk," says Asif Ahmed, chief information officer of di- physician organization. "The system takes that into ac- agnostics services for the Duke system, which runs three count when ordering a scan. For instance, the software hospitals and about 100 clinics in the Raleigh/Durham, might point out that a patient suspected of having peu- North Carolina, area and treats more than I million patients monia has enough symptoms and clinical indicators to make that the most likely diagnosis, and that treating the This is a practical example of how health care IT is patient for it would be better than exposing him or her to a year. being used to personalize medical care in ways that help achest X-ray doctors make smarter decisions and tailor treatment to an individual's needs. This evolving field covers a broad range used the Anvita software, it has cut out about 5 of efforts. Beyond analytics systems lHke Dukes, it includes tests as unnecessary or inappropriate, Parker says. decision support tools that help doctors pick the best tests During the three years that the hospital system has percent o Beth Israel launched a related pilot project six and treatments for patients, remote monitoring tools that months ago to analyze a doctor's thought processes whern provide close to real-time care, as well as software thatordering radiology tests. When a doctor orders a test, the helps rescarchers identify the best candidates to participate system asks what diagnosis the physician is leaning to- ward, with what percentage of certainty. After the test, Beth Israel Deaconess Medical Center in Boston, the system follows up with an e-mail asking the doctor helping doctors make better treatment choices and arrive whether the test confirmed the original diagnosis. The ors decide in trials or experimental treatments is a big and growing area study aims at gaining insight into h personalized medicine. One example is clinical support software to choose the best radiology tests for patients. which tests to use, and learning in which situations doc- tors are most likely to prescribe the wrong test for a help its 1,600 staff and affiliated physicians given set of sympcos. When ordering CT scans, MRIs, X-rays, ultrasounds and other radiology tests, doctors enter a patient's electronic Information technology isn't just helping doctors choose the right test for a patient, it's also making more 227