Health insurer data, information of the Swiss medical association and data from other recent studies in Swiss primary care[ 16, 33, 34] were used to check our data for potential biases.
We now operationalize this method for use by payers without transfer of protected health information, or any insurer data, to external analytic centers.
Importantly, prior work evaluating these algorithms necessarily required the release of health insurer data, including protected health information, to an external academic center for analysis and refinement of the algorithms.
For example, the insurer seeks information relating to the type of data collected by the applicant, via the question 'Do you store, process and/or transmit any Sensitive Data on Your Computer System (Tick all that apply)'.
If there are many high-severity patients, the number of patients for whom the insurer pays information rent to the private hospital is small.
If the number of high-severity patients rises, the number of patients for whom the insurer pays information rent to the hospital declines.
The first effect is the number effect, that is the effect on the number of patients for which the insurer pays information rent to the hospital.
First, study sample is limited to urban hospitals because we only have insurer market information on metropolitan areas.
To pay claims for covered individuals, the insurer receives information on each physician visit, medical procedure, hospitalization, drug dispensed, dates of service/prescription, number of days of medication supplied, and test performed.
For years, insurance companies have been able to charge essentially whatever they wanted because there has been no organized marketplace for individuals and small business and no requirement that insurers provide information in a way that would enable us to make truly informed decisions.
