American hospitals start predicting who gets sick with big data

American hospitals start predicting who gets sick with big data

In the face of sudden illness, hospitals and patients often fail to prevent, time delay often caused the patient died. In the future, technology may play the role of medical prophets, minimizing the likelihood of such tragedies.

According to Businessweek, Carolina's medical system began using large data for high-risk patients to integrate 2 million of people's user data into a set of algorithms for high-risk patients to assess the risk of disease and to implement medical measures before the patient's onset.

According to Michael Dulin, director of clinical analysis in Carolina, Charlott's local chain hospitals put large data into predictive models that give patients a risk rating.

An asthmatic patient, for example, can find out if the patient was rushed to the rescue room by knowing whether he had increased the dosage, whether he had purchased cigarettes or if he had lived in a high pollen area. Also as a gym member, the system can also use an analysis of what kind of food he has purchased to assess his chances of a sudden heart attack.

As for data, it comes from public records that buy consumers from intermediaries, including store transactions and credit card purchases.

Many patients expressed concern about http://www.aliyun.com/zixun/aggregation/9799.html "> personal privacy." Dulin said that under the agreement between the data provider and the hospital, Carolina medical care could share patient risk assessment data with doctors, but the chain hospitals were not allowed to disclose details of the data.

Acxiom (21.68, 0.18, 0.84%) and LexisNexis are the largest two data intermediaries, Acxiom says their data are used only for marketing purposes and not for medical purpose. LexisNexis says they do not sell user information to insurers trying to get data on high-risk patients.

On the other hand, some health advocates and privacy experts worry that too much reliance on data analysis could have an impact on the doctor-patient relationship. "If the doctor has mastered the information, the relationship between the two becomes a one-way, potential behavioral inquiry." "says Ryan Holmes of Santa Clara University.

"Traditional ratings and insurance have been accompanied by the disappearance of health care reform, and now the direction of efforts is positive treatment management." We know that you are at risk of diabetes and we will take action before your symptoms show. "says Robert Booz, a Gartner analyst.

(Responsible editor: Lu Guang)