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¤ 2017 Capital Link 1 www.caplink.org Proactive Scenario Planning: Modeling Financial Implications Jonathan Chapman Director CHC Advisory Services, Capital Link Webinar October 10 , 2017

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Page 1: Proactive Scenario Planning: Modeling Financial ... · Proactive Scenario Planning: Modeling Financial Implications Jonathan Chapman Director CHC Advisory Services, Capital Link Webinar

2017

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Proa

ctiv

e Sc

enar

io P

lann

ing:

M

odel

ing

Fina

ncia

l Im

plica

tions

Jona

than

Cha

pman

Dire

ctor

CHC

Adv

isory

Ser

vice

s, Ca

pita

l Lin

k

Web

inar

Oct

ober

10

, 201

7

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Your

Wor

ld…

alm

ost e

very

day

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Do W

e M

anag

e St

rate

gica

lly?

How

Do

We

Stra

tegi

cally

Man

age?

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Risk

on

the

Edge

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Scen

ario

Pla

nnin

g

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Why

Sce

nario

s?

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Don’

t wor

ry a

bout

how

man

y w

e in

vite

.W

e’ve

go

t pl

enty

of

room

for

ever

yon

e.

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Adva

ntag

es to

Sce

nario

Pla

nnin

g

Prov

ides

Pro

duct

ive

Actio

n St

eps i

n Ti

mes

of U

ncer

tain

ty

Com

plex

ity (o

r Lac

k Th

ereo

f)

Cons

erve

Res

ourc

es

Hint

s at C

onse

quen

ces

Enha

nces

Our

Tho

ught

/Dec

ision

Pro

cess

Redu

ces R

eact

iona

ry R

espo

nses

Does

Not

Have

to b

e Pr

ecise

to b

e Ri

ght

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Amat

eurs

stud

y th

e pl

an;

Prof

essio

nals

stud

y th

e as

sum

ptio

ns.

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Sele

cted

Asp

ects

of S

cena

rio P

lann

ing

Assu

mpt

ions

abo

ut A

ssum

ptio

nsLim

ited

Varia

bles

Prov

ides

Leve

lof C

onfid

ence

Esta

blish

es R

ange

s to

Test

Thr

esho

lds

Does

not

For

etel

l the

Fut

ure

Typi

cally

Get

s Us t

o Ye

s, No

, May

be;

but N

ot D

efin

itive

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Exam

ples

of S

cena

rio P

lann

ing

Disa

ster

Res

pons

e‘B

ack

of th

e En

velo

pe’

Fina

ncia

l For

ecas

ts/M

odel

ing

Arch

itect

ural

Blue

prin

tsPr

edict

ive

Anal

ytics

All o

f You

r HRS

A Gr

ant A

pplic

atio

ns

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Exam

ples

of S

cena

rio P

lann

ing

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Exam

ples

of S

cena

rio P

lann

ing

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Exam

ples

of S

cena

rio P

lann

ing

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A go

od p

lan

toda

y is

bette

r

than

a p

erfe

ct p

lan

tom

orro

w.

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Dr. J

ohn

Snow

…in

185

4

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Exam

ples

of S

cena

rio P

lann

ing

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Valu

e an

d Im

pact

of H

ealth

Cen

ters

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UDSM

APPE

R –

Anal

ysis

Resu

lts

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NACH

C’s F

undi

ng C

liff E

stim

ator

Perc

ent o

f Pat

ient

s Los

ing

Acce

ss to

Car

eDu

e to

a 7

0% F

eder

al G

rant

Red

uctio

n

http

s://

d3n8

a8pr

o7vh

mx.

cloud

front

.net

/nac

hc/p

ages

/297

/att

achm

ents

/orig

ina

l/148

6144

245/

2017

_Fun

ding

_Clif

f_Im

pact

_Est

imat

or.x

lsx?1

4861

4424

5

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NACH

C’s F

undi

ng C

liff E

stim

ator

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2017

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NACH

C’s M

edica

id Im

pact

Sta

tem

ent

Prov

idin

g Su

mm

ary

of M

edica

id's

Sign

ifica

nce

To

Hea

lth C

ente

rs a

nd T

heir

Patie

nts

http

s://

d3n8

a8pr

o7vh

mx.

cloud

front

.net

/nac

hc/p

ages

/297

/att

achm

ents

/orig

ina

l/148

6144

991/

2017

_Med

icaid

_Im

pact

_Sta

tem

ent_

(1).x

lsx?1

4861

4499

1

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NACH

C’s M

edica

id Im

pact

Sta

tem

ent

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Back

of t

he E

nvel

ope

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Thin

king

of E

xpan

ding

?

An o

rgan

izatio

n w

ants

to co

nsid

er

incr

easin

g its

low

inco

me

popu

latio

n m

arke

t sha

re b

y 5%

.

How

man

y m

ore

patie

nts,

visit

s, an

d pr

ovid

ers

wou

ld th

at m

ean?

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Expa

nsio

n Co

nsid

erat

ions

Mar

ket S

hare

–Cu

rren

t and

Pro

ject

edNu

mbe

r of P

atie

nts f

rom

spec

ific p

opul

atio

n di

vide

d by

that

tota

l pop

ulat

ion

Serv

ice A

rea

FQHC

Pat

ient

s = 1

33,3

90Se

rvice

Are

a Ge

nera

l Pop

ulat

ion

= 71

4,57

5; Lo

w In

com

e Po

pula

tion

= 42

5,42

619

% m

arke

t sha

re G

ener

al P

opul

atio

n; 3

1% m

arke

t sha

re Lo

w In

com

e Po

pula

tion

Estim

atin

g En

coun

ters

/Visi

tsHi

stor

ic/Re

alist

ic vi

sits p

er p

atie

nt ti

mes

exp

ecte

d pa

tient

sFQ

HC V

isits

= 5

86,9

1658

6,91

6 / 1

33,3

90 =

4.4

visi

ts p

er p

atie

nt

Proj

ectin

g W

orkf

orce

Nee

dsHi

stor

ic/Re

alist

ic Pr

ovid

er P

rodu

ctiv

ity d

ivid

ed b

y ex

pect

ed v

isits

/pat

ient

sFQ

HC P

rovi

der F

TE =

628

FQ

HC V

isits

= 5

86,9

1658

6,91

6 / 6

28 =

934

visi

ts p

er F

TE

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Expa

nsio

n Co

nsid

erat

ions

An o

rgan

izatio

n w

ants

to in

crea

se it

s low

inco

me

popu

latio

n m

arke

t sha

re b

y 5%

; how

man

y m

ore

patie

nts,

visit

s, pr

ovid

ers?

31%

x 1.

05 =

32.

55 =

33%

33%

x 42

5,42

6 =

140,

391

patie

nts

(in

crea

se o

f 7,0

00 lo

w in

com

e pa

tient

s)

7,00

0 *

4.4

visit

s per

pat

ient

= 3

0,80

0 ad

ditio

nal v

isits

30,8

00 /

934

visit

s per

Pro

vide

r FTE

= 3

3 ad

ditio

nal P

rovi

der

FTEs

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Expa

nsio

n Co

nsid

erat

ions

Estim

ated

Squ

are

Foot

age/

Fund

ing

Need

ed to

Trea

t New

Pa

tient

s –HY

POTH

ETICAL

Usin

g es

timat

ed sq

uare

feet

per

pro

vide

r as b

asis…

1,10

0

33 F

TE x

1,10

0 sq

ft p

er =

36,

300

tota

l sq

ft

Usin

g es

timat

ed co

st p

er sq

uare

foot

as b

asis…

$480

36,3

00 sq

ft *

$48

0/sq

ft =

$17.

4M e

stim

ated

cost

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Expa

nsio

n Co

nsid

erat

ions

Hard

Cos

ts:

70%

Equi

pmen

t: 15

%So

ft C

osts

:15

%

Tota

l Pro

ject

Cos

t 10

0%

+ La

nd/B

uild

ing

Acqu

isitio

n

Typi

cal B

reak

dow

n of

Pro

ject

Cos

ts fo

r Hea

lth C

ente

rs:

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Serv

ice E

xpan

sion

-Im

mun

izatio

n Ra

tes a

nd C

osts

Teta

nus,

Diph

ther

ia, a

nd P

ertu

ssis

Not b

eing

vacc

inat

ed re

sults

in a

ppro

xim

atel

y 5,

320

case

s per

100

,000

ch

ildre

n

$17,

000

in h

ospi

taliz

atio

n co

sts p

er ca

se

Dtap

Vacc

ine

= $8

0/ch

ild

74,0

00 ch

ildre

n un

der 5

yea

rs o

f age

in se

rvice

are

a

Curr

ent I

mm

uniza

tion

Rate

= 7

0%30

% =

$20

mill

ion

in co

sts

Spen

d $1

.6 m

illio

n to

incr

ease

the

Imm

uniza

tion

Rate

to 8

0%

New

Imm

uniza

tion

Rate

= 7

7%23

% =

$15

mill

ion

in co

sts

Redu

ctio

n of

Hos

pita

lizat

ion

Cost

s of $

5 M

illio

n

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Iden

tifyi

ng P

riorit

ies

Low Income Population

HPSA

Sco

reLO

W

HIGH

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Capi

tal L

ink’s

Rev

enue

Mod

elin

g To

ol

Impa

ct o

f Med

icaid

Elig

ibili

tyGr

ant F

undi

ng fo

r Uni

nsur

edBa

sic A

ssum

ptio

ns:

PPS,

Pa

yorM

ix,

Reim

burs

emen

t, Ex

pens

es

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Fina

ncia

l Sen

sitiv

ity

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Fina

ncia

l Sen

sitiv

ity

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Fina

ncia

l Sen

sitiv

ity

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Fina

ncia

l Sen

sitiv

ity

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Fina

ncia

l Sen

sitiv

ity

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Fina

ncia

l Sen

sitiv

ity

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Impl

emen

tatio

n

Wha

t pot

entia

l cha

nge

‘wak

es y

ou u

p at

nig

ht’?

Why

?

Wha

t ope

ratio

nal g

oal(s

) will

not

hap

pen

with

out p

lann

ing?

Why

?

Wha

t pla

nnin

g re

sour

ce(s

) is m

ost s

carc

e? H

ow to

com

pens

ate?

Mos

t pre

ssin

g iss

ue(s

) fac

ing

your

org

aniza

tion?

Con

sequ

ence

s?

Cond

uct o

ne “b

ack

of th

e en

velo

pe” s

cena

rio.

Assu

mpt

ions

?

“Str

ateg

ic Pl

anni

ng is

PRA

CTIC

E.St

rate

gic M

anag

emen

t is t

he G

AME.

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Inno

vatio

n is

driv

en b

y th

e ab

ility

to

Fail

quick

ly,

Lear

n, a

nd

Evol

ve.

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Jona

than

Cha

pman

Colo

rado

jcha

pman

@ca

plin

k.or

g

970.

833.

8513