Health Ecosystem WorkFlow Prototyping (FHIR®©) HTHeco © Alpha 8.8

Census ASPEP 2020 Dataset [ March ]
County Credit Rating (Fitch)

YR 2018
| | |

YR 2019
| | |

*Notes> data below contains only function type= total, public welfare, health and hospital.

3D render Community Outreach Facility Worksheet Please begin selection of facilities via left mouse down & drag or touch & drag, Thank you
* data derived from public domain & accuracy unconfirmed

recID	Census Characteristics ⇵ Language & Technology	Value
00	Percentage calculated by dividing Age5p_Arabic_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
01	Percentage calculated by dividing Age5p_Arabic_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
02	Percentage calculated by dividing Age5p_Chinese_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
03	Percentage calculated by dividing Age5p_Chinese_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
04	Percentage calculated by dividing Age5p_French_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
05	Percentage calculated by dividing Age5p_French_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
06	Percentage calculated by dividing Age5p_German_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
07	Percentage calculated by dividing Age5p_German_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
08	Percentage calculated by dividing Age5p_Korean_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
09	Percentage calculated by dividing Age5p_Korean_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
10	Percentage calculated by dividing Age5p_Only_English_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
11	Percentage calculated by dividing Age5p_Only_English_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
12	Percentage calculated by dividing Age5p_OthAsian_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
13	Percentage calculated by dividing Age5p_OthAsian_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
14	Percentage calculated by dividing Age5p_OthEuro_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
15	Percentage calculated by dividing Age5p_OthEuro_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
16	Percentage calculated by dividing Age5p_OthUnSp_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
17	Percentage calculated by dividing Age5p_OthUnSp_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
18	Percentage calculated by dividing Age5p_Russian_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
19	Percentage calculated by dividing Age5p_Russian_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
20	Percentage calculated by dividing Age5p_Spanish_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
21	Percentage calculated by dividing Age5p_Spanish_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
22	Percentage calculated by dividing Age5p_Tagalog_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
23	Percentage calculated by dividing Age5p_Tagalog_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
24	Percentage calculated by dividing Age5p_Vietnamese_ACS_14_18 by Pop_5yrs_Over_ACS_14_18
25	Percentage calculated by dividing Age5p_Vietnamese_ACS_14_18 by Pop_5yrs_Over_ACS_14_18(MOE)
26	Population 5 years and older that speak a language other than English at home in the ACS
27	Population 5 years and older that speak a language other than English at home(MOE)
28	Percentage calculated by dividing HHD_No_Internet_ACS_14_18 by Tot_Occp_Units_ACS_14_18
29	Percentage calculated by dividing HHD_No_Internet_ACS_14_18 by Tot_Occp_Units_ACS_14_18(MOE)
30	Percentage calculated by dividing HHD_NoCompDevic_ACS_14_18 by Tot_Occp_Units_ACS_14_18
31	Percentage calculated by dividing HHD_NoCompDevic_ACS_14_18 by Tot_Occp_Units_ACS_14_18(MOE)
32	Percentage calculated by dividing HHD_w_Broadband_ACS_14_18 by Tot_Occp_Units_ACS_14_18
33	Percentage calculated by dividing HHD_w_Broadband_ACS_14_18 by Tot_Occp_Units_ACS_14_18(MOE)
34	Percentage calculated by dividing HHD_w_Computer_ACS_14_18 by Tot_Occp_Units_ACS_14_18
35	Percentage calculated by dividing HHD_w_Computer_ACS_14_18 by Tot_Occp_Units_ACS_14_18(MOE)
36	Percentage calculated by dividing HHD_w_OnlySPhne_ACS_14_18 by Tot_Occp_Units_ACS_14_18
37	Percentage calculated by dividing HHD_w_OnlySPhne_ACS_14_18 by Tot_Occp_Units_ACS_14_18(MOE)
38	Percentage calculated by dividing Occp_U_NO_PH_SRVC_ACS_14_18 by Tot_Occp_Units_ACS_14_18
39	Percentage calculated by dividing Occp_U_NO_PH_SRVC_ACS_14_18 by Tot_Occp_Units_ACS_14_18(MOE)
40	Percentage calculated by dividing No_Plumb_ACS_14_18 by Tot_Housing_Units_ACS_14_18
41	Percentage calculated by dividing No_Plumb_ACS_14_18 by Tot_Housing_Units_ACS_14_18(MOE)

Tech Sort Descending👈

[ 2019 Medicare Medicaid ]

CMS Util 2018/2019
2020 * 2022 *

CMS Risk Score

2020 2021

Utilization & Membership

Medicare FFS ()

2023 CHIP + medicaid ()

2023 medicare ffs+ma ()
()

2019

California

HCUP

2018-2020

Pop Sort Descending

2019
Chronic Conditions

Conditions Sort Descending

[ County : ] 2019 CBP + 2020 ASPEP

[ County : ] BEA 2019

Age >=65 Age < 65

All Measures Extract (sort by descending measure id)

Measures of Interest (sort by descending value)

Population >= 65 (sort by descending value)

Population < 65 (sort by descending value)

CA ER -Diagnosis : right click column to sort

CA Emergency Department Utilization profile ER Trend

CA Primary Care Clinic Utilization profile [ 87 Primacy Care Clinics did not submit 2019 report ]

SVI Legend

WWTP 💦
ref 📘

County Pop cnt =

CDC ATSDR Social Vulnerability Index 2018

Overall percentile ranking Legend (RPL_THEMES)
       RPL_THEMES >0.80
       0.60> RPL_THEMES >0.80
       0.40> RPL_THEMES >0.60
       0> RPL_THEMES >0.40
       RPL_THEMES = -999 (not calculated)

Zip Code Population Legend

0 >=100000

2019 Prescriber Trends for x >

💊

📃

🧍‍

💵

📇

src	rows	provider cnt	patient cnt	drug cost	claim cnt
0d572
e22cd1
e22cd1_Sum

Refresh

REMS

⚘

2019 Drugs > Therapeutic Class

2019 Therapeutic Class Perspectives
[ All Entries ]

*assume NADAC unit = Utilization unit & these are Estimates +/- col FRED BLS ⚠

🐰

2022 Q1

2022 Q1 units [ pie controls all charts]	2022 Q1
2022 Q1 rxs
2022 Q1 reimbursement

2022 Q2

2022 Q2 units [ pie controls all charts ]	2022 Q2
2022 Q2 rxs
2022 Q2 reimbursement

2022 Q3

2022 Q3 units [ pie controls all charts ]	2022 Q3
2022 Q3 rxs
2022 Q3 reimbursement

2022 Q4

2022 Q4 units [ pie controls all charts ]	2022 Q4
2022 Q4 rxs
2022 Q4 reimbursement

Adverse Events Analysis

base

seriousnessdeath =1 seriousnessdeath ≠ 1

Extracted Sample ▸ [total #src recs]
Seriousnessdeath ▸ 🕮 🔥 ICH

[ vision ]	[ cognitive ]
[ ambulatory ]	[ self-care ]
[ independent living ]	[ # disabilities ]

Health Service Facilities *
Care Coordination

last update : 09.10.23 7:53pm

Population Resilience

Census Pulse Survey Detailed Tables

HealthyPeople 2030 Measures

HealthyPeople 2020 Measures

Dynamic Resource Search please fill in search topic

Useful Resources

All Measures Extract (sort by descending measure id)

Measures of Interest (sort by descending value)

Population >= 65 (sort by descending value)

Population < 65 (sort by descending value)

Health Service Facilities * Care Coordination last update : 09.10.23 7:53pm

Population Resilience

Census Pulse Survey Detailed Tables

HealthyPeople 2030 Measures

HealthyPeople 2020 Measures

Dynamic Resource Search please fill in search topic

Useful Resources

All Measures Extract (sort by descending measure id)

Measures of Interest (sort by descending value)

Population >= 65 (sort by descending value)

Population < 65 (sort by descending value)

Health Service Facilities *
Care Coordination

last update : 09.10.23 7:53pm