Profility’s cloud-based, enterprise-grade platform features a full suite of post-acute care connectivity solutions and tools that are easy to deploy and that do not require any heavy integration with existing systems and software products. The platform leverages multiple existing big data sources and predictive analytics technology to create personalized care planning profiles that can be used to support post-acute care decision making throughout every aspect of care delivery.
Patient Profile Summary
Full and “Warm” patient hand-off improves care coordination with no invasive changes required to existing workflows and tools.
A comprehensive and up-to-date snapshot of the patient’s relevant characteristics; medical, demographic, social, etc., made available to the next team down the line at the moment the patient is ready to move to the next care setting.
The PPS can be presented at the moment of referral, thus providing valuable information as the next care setting decides on whether to accept the referral or not, or at the time of patient transfer, post-acceptance.
Builds on existing data found in the systems of the current care setting but does not require any changes to be made to those systems.
The PPC can be used to populate the health record system of the next provider down the line, saving valuable time and improving accuracy of information transfer.
PAC Selector
Helps staff choose the right post-acute care setting for each individual patient.
Profility uses predictive analytics and advanced patient profiling to create individualized predictions that help care givers and patients to select the post-acute care setting most likely to optimize each patient’s recovery.
The PAC Selector helps care givers and discharge managers decide when to discharge a patient, and where to. Inpatient Rehabilitation Facility, Skilled Nursing Facility, or Home Care – Profility predicts the chances of successful rehabilitation as well as the risk of readmission for each care setting, based on millions of existing data records and advanced predictive algorithms.
PAC Provider Search
Helps staff and patients choose the optimal provider for each individual patient’s post-acute care needs.
Profility’s PAC Provider Search provides a comprehensive yet easily accessible way to evaluate potential post-acute care providers as related to the specific needs of each individual patient being discharged.
Filter providers by geography, services offered, specific needs addressed, and rank them by performance relating to the specific patient profile in question for each discharge.
Save time during the discharge process and optimize outcomes by referring patients to the provider offering the highest chance of rehab success.
Help discharge managers view certain availability elements of beds and services to support the patient being transferred, as part of the process of matching a patient to the facility.
Utilization Management
Leverages predictive analytics to adjust post-acute care packages on an ongoing basis
Profility’s UM module provides up-to-date, individualized predictions regarding patients current in post-acute care to help care givers take appropriate decisions regarding their care, at the right time.
The UM module predicts risk (falls, re-admission, etc) based on comparing the latest patient data with millions of historical records and applying advanced predictive analytics techniques to derive accurate projections on a patient-per-patient basis.
Optimizes both the type of care and the length of care, and can also help predict when a patient should be moved to the next care setting.
Market Dynamics
Helps all players understand post-acute care market realities by scoring providers by results and per patient profile.
Advanced reporting mechanisms applied to build comprehensive snapshots of post-acute care provider performance, as related to local and national averages.
Helps acute care providers, ACOs, and payers to understand the local post-acute care market and to optimize referral patterns and behaviors.
Helps post-acute care providers market themselves to the different sources of referral, by understanding their own strengths, weaknesses, and relative local market position.
Many drill-down options including patient type, special needs, equipment, insurance coverage etc.
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