Janus Choice is seeking a summer intern to join the dynamic team at an innovative new healthcare tech company.
ESSENTIAL JOB FUNCTIONS: Economic evaluation of healthcare cost and benefit impact.
Assist in development of a model for the evaluation of economic impact of post-acute care selection solution on healthcare systems, hospitals, post-acute care facilities, patient costs and health system, evaluating impact of quality of service, readmissions, costs of complications and system integration impacts.
Help analyze the available public data and payor supplied data.
Work with team to identify value of appropriate, high quality interventions in this arena.
ESSENTIAL JOB REQUIREMENTS:
Likes people, is professional, and courteous.
Responds to feedback well.
Strong desire for self-improvement.
Works well with others.
Excellent phone and email skills.
Strong attention to detail and follow-through.
Strong strategic thinking skills.
Self-starter/self-motivated with the drive to succeed.
Intermediate working knowledge of Microsoft Word, Excel, and PowerPoint. Familiarity with G Suite preferred.
Technologically savvy with the ability to learn new software as needed.
2 openings. Telecommuting is allowed.
About Janus Choice
Janus Choice is an innovative social impact company passionately dedicated to dynamically elevating the quality of health care and patient outcomes, currently focused on enhancing transitions from hospital to post-acute care facilities. Approximately 42% of Medicare fee-for-service patients require post-acute care placement into long-term care, inpatient rehabilitation centers, skilled nursing facilities or home health care following acute hospitalization, for a total of over 8 million transfers annually with a total Medicare cost exceeding $59 billion annually. Patients and families are generally required to choose from a list at discharge but each of these post-acute care facilities often have expertise or gaps in specialty care which are not obvious in their advertising or available public information. Therefore, appropriate quality decisions by patients and families are extremely difficult and can often be made in error. The impact of such less than appropriate selections results in markedly increased rates of complications, hospital readmissions, death and hospital expenditures.Our proven solution utilizes behavioral economics, persuasive and exponential technologies, artifici...al intelligence, and bedside integration with proven efficacy. We apply persuasive technology to convey information to the patient and their family to build trust and nudge their behavior to select the better performing facilities. This leads to not only significantly improved outcomes for the patients but also financially benefits hospitals, post-acute providers and insurance companies. Our solution then utilizes artificial intelligence and machine learning to continuously improve the algorithms assessing the post-acute facilities as well as the optimal choices for future patients in similar circumstances.