Apervita, a health analytics “community” that allows researchers and clinicians to author, apply, publish and subscribe to a market of evidence-based algorithms, is poised to launch four newly-published analytics tools at HIMSS15.

The new offerings come on the heels of the March announcement that Mayo Clinic would publish to the Apervita community its algorithms related to sudden cardiac arrest and implantable device assessment.

“What we are seeing is growing, exponential demand for health analytics and we don’t believe the approach of embedding them into current systems is going to realize the potential that analytics and digital patient data could have in healthcare,” said Rick Halton, chief marketing officer with Apervita. “We have taken a very different approach.”

At its heart, Apervita allows healthcare organizations to share data, best practices, dashboards and the like that have improved care at the contributing organizations and make it available across the industry on a subscription basis.

The company is introducing four newly published sets of content at HIMSS15:

Predictive patient deterioration early warning algorithms from Quant HC. Based on the work of Dana Edelson, MD, founder and chief scientific officer and a researcher at the University of Chicago, this predictive algorithm helps detect patient deterioration in hospitals. The algorithm takes data from all available sources, including the EMR, and uses the data to compute a patient score that provides up to 32 hours of forward prediction of patient deterioration. With deteriorating patient mortality increasing by roughly 1.5 percent each hour they are not treated, the algorithm allows doctors to get a significant head start on identifying why the patient is deteriorating in order to effectively treat them.

Predictive readmission prevention algorithms from Diameter Health. A compliment to LACE, used widely in hospitals, this algorithm taps additional information about a patient including diagnosis codes, procedure codes and vital signs. and produces a much more accurate prediction of 30-day readmission risk. It has a solid pedigree as well, built originally as an enhancement of the CMS readmission prediction model.

Congestive heart failure readmission prevention dashboards from CETA Consulting. This dashboard displays 10 different readmission risk scores for people suffering from congestive heart failure. The evidence-based scores allow the case management team to view, in a single dashboard, scores of a number of different risks for CHF patients. The tool allows the care team to have at a glance the best information available on potential risks to each patient.

Patient risk alerting and digital workflow from care coordination from DocCom. This tool, called Careflow is an app for mobile phones that facilitates communication and care coordination. The app automates alerts to the care team of deteriorating patient condition, or other critical information, to allow fast response and care. Depending on their specialty docs can subscribe to notifications in topics such as infection control, adverse events, patient early warning and others in order to get early notification of patients in their care.