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 Emergency Medical Services (EMS)
Hospital Emergency Departments
Government, State, Regional Organizations
Medical Device Manufacturers
Clinical Information System Manufacturers
For Emergency Medical Services (EMS)
Provides real-time clinical decision support in the prehospital emergency medical service (EMS) operational setting.
Improves patient treatment and reduces delays by providing on-scene paramedics with easy-to-use 0-100% predictions of
the likely diagnosis and outcomes printed out by their standard electrocardiograph-defibrillator equipment. Acute cardiac
ischemia (ACI, including both heart attack [acute myocardial infarction: AMI] and unstable angina pectoris that can progress
immediately to heart attack) is the most common serious condition requiring emergency and acute medical care. Each year in
the United States, over seven million patients come to emergency departments (EDs) with chest pain or other symptoms suggesting
a cardiac problem; about 25% will prove to have true ACI, and recognizing these, and getting them the proper treatment in the
prehospital setting and delivering information to the receiving hospitals is crucial for being sure those who truly need
emergency cardiac care get it immediately..
Enables patient Hospital to get the patient to right place at the right time. On-site real-time ACI-TIPI and TPI decision
support allows in-the-field decision-making by the paramedic about which patients are so likely to need immediate cardiac
intervention, such as angioplasty for heart attack, that they should be taken to the most capable cardiac centers, in some
cases by-passing those hospitals less able to provide such care.
Enables quality improvement (QI) measures and error reduction systems by tracking the quality of care and providing feedback.
Quality measures are managed and reported; including early patient identification, paramedic adherence to treatment protocols,
and time to treatment in the ED and hospital.
Provides analytic framework for efficient monitoring and review by the EMS Medical Director to perform on-line clinical review
and feedback to paramedics on their treatment of individual patients without having to review each patient and each EMS run data.
Enables a common discussion based on shared data and information, including the predictions of the ACI-TIPI and TPI, among
those who must cooperate in improving the continuity of care and tight linking between EMS and EDs in maintaining and improving
the quality of patient care.
Provides real-time decision support in the ED setting, both by the provision of early information from the paramedics in the
prehospital EMS and also by providing ACI-TIPI and TPI real-time decision support generated by the ED electrocardiographs.
Thereby it improves patient treatment and reduces delays by providing simplified predictive information for the ED and hospital
clinicians on-scene. Acute cardiac ischemia (ACI, including both heart attack [acute myocardial infarction: AMI] and unstable
angina pectoris that can progress immediately to heart attack) is the most common serious condition requiring emergency and acute
medical care. Each year in the United States, over seven million patients come to hospital emergency departments (EDs) with chest
pain or other symptoms suggesting a cardiac problem; about 25% will prove to have true ACI (including AMI and unstable angina).
Identifying and hospitalizing these patients getting them the proper emergency treatment is crucial to their care, and the avoidance
of over-admission of the majority of ED patients with chest pain who need not be hospitalized, are important challenges to ED physicians
and staff and to hospitals as whole.
Enables quality improvement (QI) measures and error reduction systems by tracking the quality of care and providing feedback.
Quality measures are managed and reported; including early patient identification, paramedic and hospital staff adherence to
treatment protocols, and time to key treatments, such as angioplasty for AMI, in the ED and hospital.
Improves the use of costly cardiac teams. The combination of real-time patient treatment and quality improvement oversight
tools will optimize the use cardiac resources, including by the reduction of the unnecessary "false positive" hospitalizations.
Reduces medical malpractice liability cost by providing patient risk data in real-time to the clinicians and by providing
aggregated quality improvement oversight function to reduce the potential missing a patient with ACI, "false negative diagnoses"
that could translate into visible and costly malpractice liability suites. This function is critical for self-insured hospitals.
Provides a data registry to support the rollout, implementation, and maintenance of regional point of entry systems that determine where
among regional set of hospitals paramedics should take acutely ill patients for specialized emergency care for cardiac, stroke, and trauma.
Monitors appropriate decisions to by-pass hospitals that do not have 24/7 coronary angioplasty (percutaneous coronary intervention: PCI)
capabilities in favor of taking patients to PCI-capable hospitals (or to by-pass non-stroke designated hospitals for stroke designated
hospitals or non-trauma hospitals for trauma designated hospitals) while as well as helping ensure that patients not requiring that
capability are taken to non-PCI hospitals (and analogous hospitals for those not needing specialized care for stroke or for trauma).
Provides real-time decision support in the prehospital setting that helps reduce delays in treatment and supports patients getting to
the right place at the right time.
Provides timely data and reporting to evaluate regional Point of Entry (POE) System's impact on:
Monitors the impact of policy decisions to regionalize care on outcomes and treatment patterns
Medical device manufacturer suites are packaged Software Development Kits (SDKs) designed specifically for device manufacturers.
Each SDK contains a reference implementation from which device manufacturers can use directly or translate the source code to
their target device platform and programming language. The SDK also includes a set of clinical data for implementation validation
and FDA submission. Each SDK also includes a base 40 hours of consulting services to ensure rapid implementation and validation to
meet the most aggressive time to market schedule.
For Clinical Information Systems (CIS) customers, CCSI offers a suite of real-time predictive models in the form of Web Services
which reduces the complexity and effort in building real-time analytics and decision support capabilities to creating a set of
Simple Object Access Protocol (SOAP) interfaces to CCSI's Web Services data center.
Also for CIS customers at all levels of the chain of delivery, CCSI provides analytic tools and algorithms that add decision
support, monitoring, quality improvement (QI), and error reductions functions to CIS and medical IS.
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