--0000000000008c8d07062f88b9f2 Content-Type: multipart/related; boundary="0000000000008c8d07062f88b9f1" --0000000000008c8d07062f88b9f1 Content-Type: multipart/alternative; boundary="0000000000008c8d03062f88b9f0" --0000000000008c8d03062f88b9f0 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable ---------- Forwarded message --------- From: Date: Fri, Feb 21, 2025 at 3:49=E2=80=AFPM Subject: Long Term Benefit Optimization-Phase 2 To: Timothy Thomas Cc: , , Jeannie Ortiz Hi Tim, Attached is a spreadsheet containing client-level details on benefit optimization opportunities for your respective area. This analysis compares clients' billed hours to the maximum benefit allowed by their insurance provider, helping us determine where we can maximize their benefits. I included a few additional peeps on this thread as we will be the group to help with any questions you may have on the data or next steps! Below is a quick breakdown of the spreadsheet tabs: - Guidance and Assumptions =E2=80=93 Key considerations and assumptions = used when determining next steps. - Sample =E2=80=93 A specific client scenario to illustrate the methodol= ogy. - % Analysis by Client =E2=80=93 Displays opportunities per client on a = weekly and annual basis. - Perceived Amount Recoup Column =E2=80=93 Estimates the realistic am= ount we could recover from each client. For instance, if a client's opportuni= ty exceeds $1,000, they may not want to increase hours to that full exte= nt. - Pivots-Analysis =E2=80=93 A deeper dive into billed days versus the da= ily benefit, similar to the Sample tab. - Additional columns at the end indicate how many hours could be increased, assuming the client agrees and a care plan is submitted. I will schedule a touch base with you and this group in 2 weeks just to get a pulse on your team is doing with the data provided. Let me know if you have any questions. Thank you, *Michelle Schefter* (Formally Michelle Kenaga) Senior Manager Billing and Submissions Direct line: (408) 831-0579 michelle.kenaga@thekey.com [image: TheKey] --0000000000008c8d03062f88b9f0 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable ---------- Forwarded message ---------= From: < michelle.kenaga@thekey.com > Date: Fri, Feb 21, 2025 at= 3:49=E2=80=AFPM Subject: Long Term Benefit Optimization-Phase 2 To: = Timothy Thomas < tt@thekey.com > Cc: < eclark@thekey.com >, = < miranda.norman@thekey.com= >, Jeannie Ortiz < jea= nnie.ortiz@thekey.com > Hi Tim, =C2= =A0 Attached is a spreadsheet containing client-level details on benefit opti= mization opportunities for your respective area. This analysis compares cli= ents' billed hours to the maximum benefit allowed by their insurance pr= ovider, helping us determine where we can maximize their benefits. I includ= ed a few additional peeps on this thread as we will be the group to help wi= th any questions you may have on the data or next