The goal for healthcare providers, employers and patients is to reduce the down time and the cost of being hospitalized. Everyone benefits when the patient can leave the hospital and resume their everyday activities as soon as possible.
Hospitals directly benefit from low readmission rates in that they can be fined by Medicare if those rates are too high. Artificial intelligence (AI) based systems in health care streamline the transition process from the hospital to home or care facilities and help to identify and mitigate the factors related to readmission.
Porter offers state of the art transition of care management analytics in Kentucky, and provides payers, payees, employers, and providers with administrative and reporting tools to utilization patterns and outcomes data. These tools have proven to:
When patients are actively engaged in their post-care it can lead to better quality of care and reduce the number of readmissions for treatment. In a study conducted by McKinsey, it revealed that patients were often surprised by unexpected medical complications after the acute event. This included 44% of the of the follow-up care that was considered unplanned and involved inpatient treatment, such as hospitalization. One-third of this unplanned, follow-up treatment could have been avoided by eliminating unclear discharge instructions and insufficient post-acute medical care.
The best transition of care management analytics in Kentucky allows care managers to identify programs for their patients and help improve outcomes by identifying rising-risk patients, palliative, or hospice care patients, those with chronic conditions, and increasing patient engagement.
Porter analytics allow healthcare providers to quantify patients that fall into these categories and those that may have the highest probability of readmission. The data gathered allows providers to have a more holistic view of their patients. Solutions that address readmission risk patterns are then drafted to meet the patient’s needs, and follow-up care communication is customized to the patients’ preferences.
When the unique attributes and needs of each patient are analyzed, solutions have a better chance of success, and the patient receives the more personalized follow-up they deserve. They key is gathering and analyzing data. Proper data can provide the highest value when creating personalized healthcare solutions for patients.
If you feel that you or your company could benefit from the transition of care management analytics that Porter provides, contact Porter today and get started with a better, more efficient and patient centered model of transition planning.
Sylvia’s care manager needs to ensure she has a safe discharge home, and that she remains highly satisfied with the services she’s received at the hospital. Evaluations from Physical and Occupational Therapists indicate that Sylvia will need some items added to the curated list to help carry out activities of daily living to safely heal at home.
Sylvia accesses the curated lists of DME supplies and equipment along with the education important for her recovery, all customized to her individual needs.
Sylvia discovers the coverage status for each service and product she’s added to her marketplace cart. Understanding exactly how much she will pay gives her great confidence in making a decision on what she needs now and what she can wait for with insurance coverage. Porter’s transparency has been so welcomed, since the entire process of returing home has been overwhelming.
Sylvia’s Porter Care Guide accesses her record in the Porter platform. She helps Sylvia add members of her care team, navigate her insurance coverage, and choose the equipment and supplies that work best for her needs and budget.
She shows Sylvia the available options and helps her coordinate home delivery from reliable suppliers. Sylvia's Care guides provides her with helpful information about her condition, how to use her new equipment, and what to watch out for. She updates Sylvia’s son, her care manager, and her doctor so they are in the loop.