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Founded Year



Series A | Alive

Total Raised


Last Raised

$11.5M | 2 yrs ago

About Fifth Eye

Fifth Eye is an Ann Arbor, MI-based predictive analytics company providing real-time predictive Analytic for Hemodynamic Instability.

Fifth Eye Headquarter Location

505 E Liberty Street LL 400

Ann Arbor, Michigan, 48104,

United States

Latest Fifth Eye News

Predictive Analytics Tool Accurately Detects Patient Deterioration

Apr 27, 2021

The predictive analytics algorithm significantly outperformed existing products when identifying patients in need of life-saving interventions. Source: Thinkstock April 27, 2021 - Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients. The algorithm was more accurate than the Epic Deterioration Index (EDI), an existing tool used for patient deterioration investigation. In a study published in JMIR: Medical Informatics, researchers describe the development and performance of the Predicting ICU Transfer and other Unforeseen Events (PICTURE) algorithm. Dig Deeper The team trained and validated the PICTURE model on a cohort of hospitalized COVID-19 patients using EHR data from 2014 to 2018. Researchers then applied the model to two test sets, including non-COVID-19 patients from 2019 and COVID-19-positive patients in 2020. The predictive analytics algorithm is able to analyze a range of data, from vital signs and lab results to demographic information. Using this data, PICTURE is able to flag patients at highest risk of decline, as well as explain what risk factors influence the prediction. This can help clinicians respond faster. “The PICTURE model is able to integrate data from the electronic health record and transform it into meaningful predictions based on the patient’s risk of experiencing an adverse outcome,” said Brandon Cummings, a data scientist at MCIRCC. “This is especially important in the case of COVID-19 patients, who can deteriorate rapidly and unexpectedly. By predicting these events before they occur, PICTURE can give clinicians time to react and stabilize the patient before more drastic measures are required.” Researchers found that in non-COVID-19 general ward patients, the PICTURE model achieved an area under the receiver operating characteristic curve (AUROC) of 0.819 per observation, compared to the EDI’s AUROC of 0.763. In patients testing positive for COVID-19, PICTURE achieved an AUROC of 0.849 compared with EDI’s AUROC of 0.803. The study was the first PubMed indexed paper to report a direct, head-to-head comparison with Epic’s EDI for COVID-19 patients. Michigan Medicine researchers are working to test PICTURE in other health systems and develop specialized versions of it for other populations, including rehabilitation and sepsis patients. “This analysis is limited to a single academic medical center, and its generalizability to other healthcare systems will require future study,” researchers stated. “The PICTURE model is more accurate in predicting adverse patient outcomes for both general ward patients and COVID-19 positive patients in our cohorts compared to the EDI.”  With COVID-19 cases continuing to surge and wane, researchers believe the PICTURE tool could serve as a valuable resource for ICU staff making triage decisions . “The ability to anticipate these events will be valuable when considering potential future waves of COVID-19 infections,” says Kevin Ward, MD, executive director of MCIRCC. “However, the real value will be the continued use of PICTURE in all hospitalized patients no matter what the situation is.” This work adds to Michigan Medicine’s efforts to leverage predictive analytics to stay ahead of poor patient outcomes. Recently, researchers from the Michigan Center for Integrative Research in Clinical Care (MCIRCC) partnered with Fifth Eye to develop the Analytic for Hemodynamic Instability (AHI), a predictive analytics tool that uses real-time streaming data to alert providers which patients are at high risk of deteriorating. “Hemodynamic instability can happen irrespective of a patient’s condition. Whether a patient is hemorrhaging because of an injury, or a patient is septic or has some sort of infection, these kinds of things can lead to hemodynamic instability,” Ashwin Belle, PhD, former analytics architect at MCIRCC and chief analytics officer and cofounder at Fifth Eye, told HealthITAnalytics. “Today, clinicians have very few tools in their hand to be able to see this coming. It can come on really quickly for some patients, while it takes much longer for others. To be able to see that this is happening at the onset is extremely important.” Tagged

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Expert Collections containing Fifth Eye

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Fifth Eye is included in 3 Expert Collections, including Value-Based Care & Population Health.


Value-Based Care & Population Health

643 items

The VBC & Population Health collection includes companies that enable and deliver care models that address the health needs for defining populations along the continuum of care, including in the community setting, through participation, engagement, and targeted interventions.


Digital Health

9,302 items

Companies that use or incorporate digital technology into their health/wellness product & service offerings. Only those that have raised funding after 01/01/2010


Medical Devices

8,341 items

Companies developing medical devices (per the IMDRF's definition of "medical device"). Includes software, lab-developed tests (LDTs), and combination products. *Columns updated as regularly as possible.

Fifth Eye Patents

Fifth Eye has filed 1 patent.

The 3 most popular patent topics include:

  • Cardiac arrhythmia
  • Causes of death
  • Intensive care medicine
patents chart

Application Date

Grant Date


Related Topics



Cardiac arrhythmia, Neurotrauma, Intensive care medicine, Psychiatric diagnosis, Causes of death


Application Date


Grant Date


Related Topics

Cardiac arrhythmia, Neurotrauma, Intensive care medicine, Psychiatric diagnosis, Causes of death



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