Future Hospital
Hospital Reimagined

Reimagining and redefining the ability to affect and change healthcare outcomes
through predictive analytics and data analysis.

Early Warning Signs (EWS)

Early Warning System is a real time predictive model that identifies patients at risk for clinical deterioration while in the hospital. An alert is provided to the rapid response team who can assess the patient and make appropriate interventions including medications, labs, invasive procedures, consultations and ICU transfers.

Identifying early physiologic deterioration to reduce mortality and unplanned ICU transfers is a National Patient Safety Goal. Achieving this goal remains challenge as current methods are often manual, onerous for an already overburdened nursing staff, fail to systematically monitor all patients, and show modest accuracy in identifying critically ill patients. In addition to higher mortality risk, patients who are transferred to the ICU also incur greater costs, longer lengths of stay, and increased risk for hospital acquired conditions thus prevention of these events could potentially lead to reduced costs and improved capacity/throughput.

Infection (SEPSIS)

A real-time predictive model to help identify patients who at risk for sepsis. Alerts are provided to the care team about patients who are at high risk so timely interventions can be provided for patients to reduce mortality.

The model runs in real time and if a patient is suspected of having high risk of sepsis, an alert is generated and sent to the care team. The care team can then make a decision as to whether additional interventions are needed.


Patients At-Risk for Adverse Drug Events (PARADE) Predictive Model

PCCI data scientists and clinicians have developed a cutting-edge predictive model based on a patient’s presumptive medication risk-score to proactively flag high-risk adult patients thus preventing the occurrence of adverse drug events while the patient is hospitalized. The use of this predictive model enables clinicians to:

Improve patient safety while reducing potential patient harms

Allow for greater patient engagement by providing an opportunity for nursing and pharmacy teams to work with patients to foster education and self-management activities

Appreciably reduce the cost of care associated with adverse drug events



Outpatient Parenteral Antibiotic Treatment (OPAT)

PCCI working with clinical experts, established a program to allow medically stable uninsured patients to safely self-administer parenteral antimicrobial therapy at home (S-OPAT). This program has the potential to revolutionize how low-income, uninsured patients receive quality care in a safe and comfortable locale, while at the same time:

Improving patient safety by reducing the likelihood of nosocomial infections from antibiotic resistant hospital pathogens and Clostridium difficle

Ensuring patient and family satisfaction with their healthcare experience and increasing their level of engagement through training and on-going  communication with their care providers

Reducing or eliminating the need for inpatient hospital stays and attendant costs to deliver IV antibiotics

Oncology Admissions

Oncology patients experience frequent hospitalizations due to chemotherapy side effects and disease progression.Our goal is to facilitate and improve the patient care coordination to improve clinical outcomes and decrease preventable hospitalizations. PCCI has developed and validated a model to prospectively identify patients at high risk. It provides a multifaceted and quantitative evaluation of individual patient’s risk for hospitalization.