ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
WHITE 2014 Data Set Catalog
2
3
The Center for Health Information and Decision Systems, with credit to graduate student Tina Wang, compiled this catalog containing much of the data used in the papers presented at WHITE 2014.
We hope you find it insightful and useful.
4
5
PaperAuthors
Data Set Name (put each data set on separate line)
About DataSet (what measures)
DataSet Owner
Date Range
Link to dataset online if available
KeywordsData fields
Publicly Available (y/n)
8
Health Information Exchange and Reduced Healthcare SpendingIdris Adjerid, Julia Adler-Milstein,
Corey M. Angst
eHI HIE Surveyassess the impact of the emergence of HIEs on Medicare spendingeHealth Initiative’s (eHI) annual compilation of HIE efforts (eHealth Initiative 2010),2003-2010N/AHIE, spendingN/AY
9
a national survey of HIEsidentify the exact time the HIEs became operational and their precise geographic area of operationAdler-Milstein et al. 20112010N/AHIE, spending, sustainabilityN/AY
10
The Social Value of IT: Enhancing Hospital Reputation,
Legitimacy, and Status through IT
David Antons, Torsten Oliver Salge,
Michael Ian Barrett, Rajiv Kohli, Eivor Oborn
NHS custom datasetlongitudinal archival and survey data from all public hospital organizations in England.National Health ServiceN/AN/Apatient perceptions, reputationN/AY
11
THE SPILLOVER EFFECTS OF HEALTH IT
INVESTMENTS ON REGIONAL HEALTH CARE COSTS
Hilal Atasoy, Pei-Yu Chen, Kartik Ganjuhospital level EMR adoption information from the Healthcare Information and Management Systems Society (HIMSS) database.
HIMSS1998-2010N/ANetwork externality, spillover effects, health IT, electronic medical record, IT productivity.N/AN
12
operational performance data of hospitals from the Medicare Cost Reports databaseThe database contains yearly performance information from hospitals that have reported costs to Medicare for their reimbursement rates.Unavailable1998-2010N/ANetwork externality, spillover effects, health IT, electronic medical record, IT productivity.operational costs, number of bed admittances, and number of employees, number of beds, Medicare and Medicaid discharges.N
15
Does Health Information Exchange Move Patients
Through Emergency Departments Faster?
Turgay Ayer, Mehmet Ayvaci,
Zeynal Karaca, Jan Vlachy, and Herbert S. Wong
State Emergency Department DatabasesThe SEDD data includes detailed information on procedures, diagnosis, patient demographics, charges, and the expected payment information for more than 99% all treat-and-release emergency department visits.Healthcare Cost and Utilization Project (HCUP) Central Distributor.2008-2011http://www.hcup-us.ahrq.gov/seddoverview.jspemergency department, HIEprocedures, diagnosis, patient demographics, charges, and the expected payment informationY
16
American Hospital Association (AHA) Annual Survey Databasecontrol for the hospital characteristicsUnavailable2008-2011http://www.ahadataviewer.com/book-cd-products/aha-survey/hospitalsN/AY
17
Health Information Management Systems Society (HIMSS) Analytics databasetrack HIE and other HIT variablesUnavailable2008-2011N/AHIE, technologyN/AY
18
Area Resource Filescontrol for county level socioeconomic informationHealth Resources and Services Administration2008-2011http://ahrf.hrsa.gov/socioeconomic dataN/AY
19
The Impact of Electronic Health Records on Hospital
Acquired Adverse Safety Events: Does Intra-operability Matter?
Jaeyong Bae, Jason M. Hockenberry,
Kimberly J. Rask, Edmund R. Becker,
Healthcare Cost and utilization Project (HCUP) State Impatient Databases (SID)Healthcare Cost and utilization Project (HCUP) State Impatient Databases (SID) of the Healthcare Cost and Utilization project (HCUP) for California, New York, and Florida.Healthcare Cost and Utilization project (HCUP)2009-2010N/Asafety, EHR, costN/AN
20
the Information Technology Supplement to the American Hospital Association’s Annual Survey (AHA IT survey)EHR dataUnavailable2009-2011http://www.ahadataviewer.com/about/it-database/safety, EHR, costN/AN
21
A Systems Engineering Framework for Multi-Criteria
Performance Evaluation of Healthcare Process and Systems
Iakovos M. Katsipis and John S. BarasUnavailableUnavailableUnavailableUnavailableN/AUnavailableN/AN
22
HOSPITAL CHARACTERISTICS, HEALTH INFORMATION
TECHNOLOGY, AND ACHIEVEMENT OF MEANINGFUL USE
Jingyun Li, Indranil BardhanHealthcare Information and Management System Society Analytics databaseThe HIMSS database captures annual measures of information systems adoption of 99 different HealthIT technologies in 18 categories for more than 5300 healthcare providers nationwide.CMSUnavailableN/AUnavailableN/AN
23
Hospital Compare DatabaseUnavailableCMSUnavailableN/AUnavailableN/AN
24
Association of American Medical Colleges (AAMC) databaseon hospital teaching statusHIMSS AnalyticsUnavailableN/AUnavailableN/AN
25
Usage of Electronic Patient Portals and their Impact on
Patient Health Outcomes
Harpreet Singh, Indranil Bardhan, Kirk KirkseyUnavailableUnavailablea major academic medical center in Dallas,2012N/AUnavailableage, gender, race, managed care, medicare, charity care, medicaid, self-pay, martial statusN
26
The Impact of EHRs on Cost in Patient-Centered Medical Home PracticesGenna R. Cohen, Amanda Markovitz,
Michael Paustian, Julia Adler-Milstein
The BCBSM Self-Reported Databasedetailed PCMH and EHR adoption and other descriptive information about physician practices. PO representatives collect SRD data semi-annually and BCBSM validates random samples.BCBSMUnavailableN/AUnavailableN/AN
27
BCBSM member enrollmentUnavailableUnavailableUnavailableN/AUnavailableN/AN
28
BCBSM claims dataincluded demographic and cost data on members who received care at PCMH practices.UnavailableUnavailableN/AUnavailableN/AN
29
2010 US CensusUnavailableUnavailableUnavailableN/AUnavailableN/AN
30
2011 American Community Survey (ACS)provided data on additional potential confounding factors.UnavailableUnavailableN/AUnavailableN/AN
31
Testing as a Shared Service in an Information Sharing EnvironmentAEGIS.net, IncUnavailableUnavailableUnavailableUnavailableN/AUnavailableN/AN
32
IT-enabled Parenting Advantage: Evidence from Hospital AcquisitionsKui Duhospital-level IT application dataone of the most comprehensive databases containing detailed information about the installation of IT applications in U.S. healthcare facilities.HIMSS Analytics2005-2011N/AAcquisition, Parenting Advantage, Digitization, Digital Accommodation, Organizational Learning, Hospital IndustryN/AN
33
hospital acquisition datahospital acquisition data are primarily based on the entity history records in the HA databaseStandard & Poor’s Capital IQ databaseUnavailableN/AAcquisition, Parenting Advantage, Digitization, Digital Accommodation, Organizational Learning, Hospital IndustryN/AN
34
financial and operational data of hospitals in HCRIS database.UnavailableCenters for Medicare and Medicaid ServicesUnavailableN/AAcquisition, Parenting Advantage, Digitization, Digital Accommodation, Organizational Learning, Hospital IndustryN/AY
35
quality data of hospitalsUnavailableMedicare’s Hospital Compare database.through 2012http://www.medicare.gov/hospitalcompare/search.html?AspxAutoDetectCookieSupport=1Acquisition, Parenting Advantage, Digitization, Digital Accommodation, Organizational Learning, Hospital IndustryN/AN
36
data on case-mix index,an indicator of the average severity and complexity of diseases treated in a hospital,Medicare’s Hospital Inpatient Prospective Payment System (IPPS) datasetsUnavailablehttp://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Inpatient.htmlAcquisition, Parenting Advantage, Digitization, Digital Accommodation, Organizational Learning, Hospital IndustryN/AN
37
FACILITATING HEALTH INFORMATION EXCHANGE
ASSIMILATION: THE IMPACT OF TRANSFORMATIONAL
LEADERSHIP BEHAVIORS
Gerald Elyseeno data yetUnavailableUnavailableUnavailableN/AAssimilation, Health Information Exchange, HIE, HIEA, transactional leadership, transformational leadership, trust, cooperation, innovation, idealized attributes, idealized behaviors, individualized consideration, inspirational motivation, and intellectual stimulation.N/AN
38
Optimizing Electronic Health Records for Improved Care OutcomesEric W. Ford, Lorren Pettit, William R. WyattHIMSS dataUnavailableHIMSS2010-2012N/AEHR, outcomesN/AN
39
HealthGrades dataUnavailableHealthGradesUnavailablehttp://www.healthgrades.com/ratings-and-awards/data-sourceEHR, qualityN/AN
40
Electronic Medical Records and Medical Procedure Choice:
Evidence from Cesarean Sections
Seth Freedman, Noah HammarlundUnavailablea 20%, nationally representative, stratified sample of U.S. community hospitals.Nationwide Inpatient Sample (NIS)2003 – 2011N/AEMR, patient choice, cesareandiagnosis codes, procedure codes, patient demographics, and other information about the hospital stayN
41
Unavailablean annual survey of the information technology capabilities of over 3,000 hospitals nationwide.HIMSS) Analytics2003 – 2011N/AUnavailableN/AN
42
Do Years of Experience with Electronic Health Records
Matter for Productivity in Community Health Centers?
Bianca K. Frogner, Xiaoli Wu, Leighton Ku,
Patricia Pittman, Leah E. Masselink
2012 Uniform Data Systeman annual reporting system for all centers receiving federal Section 330 grants, including sites in the 50 states, District of Columbia and US territories.Unavailable2012http://bphc.hrsa.gov/datareporting/reporting/index.htmlEHR. productivitypatient profile, visits, staffing, and finances, whether or not the CHC has a live EHR system at any or all of their sites, the name of the current EHR vendor, and a checklist of EHR functionalities.N
43
a survey of CHCsocused on EHR adoptionGeiger Gibson Program in Community Health Policy at The George Washington UniversityDecember 2010 and February 2011N/AUnavailableN/AN
44
Implementation of eMAR and CPOE reduces costs and
increases flexibility on hospital units
Jennifer C. Goldsack, Meredith R. Bergey,
Elizabeth Brady, Shirley Moran, Edmondo J. Robinson
Human resources information system recordsUnavailableUnavailablefrom June 2008 onwardsN/ACPOE, eMAR, costs, hospitalunit clerks (UC); patient care technicians (PCT); a blended clerk/technician role (PCT2); and nurse externs (NE)N
45
census data from each hospitalUnavailableUnavailableUnavailableN/AUnavailablethe number of hours worked per patient day for each position at each hospital over timeN
46
Patient Engagement vs. Patient Education: What’s the Difference?Granatinono dataUnavailableUnavailableUnavailableN/Apatient engagementN/AN
47
A Brief History of Stenting: Antecedents of Organizational
Technology Adoption and Abandonment
Brad N Greenwood, Ritu Agarwal,
Rajshree Agarwal, Anand Gopal
Florida Agency for Healthcare Administration (AHCA)These data capture a census of patients admitted to hospitals in the state of Florida as well as their diagnosis, comorbidities (i.e. ICD-9 codes), the attending physician, and the hospital where they were admitted.UnavailableAHCAhttp://www.floridahealthfinder.gov/Researchers/OrderData/order-data.aspxtechnology abandonment, organizational incentives, norms of science, financial incentives, healthcare, medical devices, medical guidelinesN/AN
48
information from the Council of Teaching Hospitals (COTH)identify hospitals in Florida associated with academic medical centers.UnavailableCouncil of Teaching Hospitals (COTH)N/Atechnology abandonment, organizational incentives, norms of science, financial incentives, healthcare, medical devices, medical guidelinesN/AN
49
Technological Innovation and Productivity in Service Delivery:
Evidence from the Adoption of Electronic Medical Records
Rezwan Haquedata on the adoption of electronic medical recordsThis survey asks detailed questions about EMR adoption so that we know whether a hospital has each of the twenty-four functionalitiesAHA Health IT Supplement2008-2011N/AUnavailablehospital characteristics including number of admissions, number of beds, ownership status, system membership, trauma center status, residency programs, medical school affiliation, hospitalist programs, and teaching intensity.N
50
100% inpatient Medicare claims dataonly include Medicare fee-for-service patients aged 65 and older, who have been enrolled for all twelve months of the year.MEDPARUnavailableN/AUnavailablepatients suffering from pneumonia, congestive heart failure (CHF), heart attack (AMI) and hip fracture.1N
51
The POEM Study: Testing the Impact of a Digital Health
Platform in U.S. Veterans with Epilepsy
Kate Bertko and John D. Hixsondirect patient contact, mailing campaigns, and social media advertisingthe Epilepsy Self-Management Scale (ESMS) and the Epilepsy Self-Efficacy Scale (ESES), both of which provide distinct measures of patient self-knowledge, and are used extensively in epilepsy clinical trials.UnavailableUnavailableN/AUnavailableN/AN
52
Saving Patient Ryan - Can Health IT Make Patient Care Safer?
Evidence from Pennsylvania Hospitals
Muhammad Zia Hydari, Rahul Telang,
William M. Marella
PSA Event Datathe data set has 231 unique Pennsylvania hospitals, though the number of hospitals varies by the year.Pennsylvania Patient Safety Authority2005–2012N/ASafetyN/AN
53
PHC4, AHA, and AHRF DataUnavailableHIMSSUnavailableN/AUnavailableN/AN
54
HIMSS Health IT Data and the Combined Data Seta long running national survey of US hospitals that primarily tracks health IT adoption in US hospitals.Pennsylvania Health Care Cost Containment Council (PHC4) and the American Hospital AssociationUnavailableN/AUnavailableN/AN
55
Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care?Yu-Kai Lin, Mingfeng Lin, Hsinchun Chena two-period panel datasetexamined the quality change as a treated hospital transited from not attaining MU in a pre-treatment period to attaining MU in the post-treatment period.Medicare EHR incentive program,UnavailableN/AEHR, adoptionN/AN
57
Investigating the Antecedents of Organizational Resilience in HospitalsVictoria Kisekka, Dr. Raj Sharman, Dr. H.R. Rao,
Dr. Upadhyaya, and Dr. Nicole Gerber
semi-structured interviews.UnavailableUnavailableUnavailableN/AUnavailablehow the hospitals prepare, respond, and recover from extreme events and to identify the events that were pertinent to the represented hospitals.N
58
Profit Complementarities in Adopting Electronic Medical RecordsJianjing Lindon't mention dataUnavailableUnavailableUnavailableN/AUnavailableN/AN
59
Predictive Analytics for Chronic Care: A Time-to-Event
Modeling Framework using Electronic Health Records
Yu-Kai Lin, Hsinchun Chen, Randall A. Brown,
Shu-Hsing Li, Hung-Jen Yang
EHR datasetfrom a major 600-bed hospital in Taiwan.hospitalsUnavailableN/Adesign science, predictive analytics, health informatics, time-to-event modeling, theories of abstraction, electronic health records, EHR, health IT, evidence-based medicinepatient demography, physiology, diagnoses, interventions, tests, among othersN
60
No titleThomas Martinno dataUnavailableUnavailableUnavailableN/AUnavailableN/AN
61
A Mixed Method Study of Information Availability on Pregnancy OutcomesChad D. Meyerhoefer, Susan A. Sherer, Mary E. Deily,
Shin-Yi Chou, Lizhong Peng, Tianyan Hu, Marion Nihen,
Michael Sheinberg, Donald Levick
urveys implemented at the Lehigh Valley Health Network (LVHN) in Allentown, Pennsylvania.UnavailableLVHN2009-2011N/AUnavailableblood pressure, cervical, examinations, the antenatal problem list, non-stress tests, group B strep tests, the prior uterine incision type(s), and tubal sterilization requestsY
62
Surveyaddress information flow in the opposite direction: from the L&D Unit back to outpatient providersoutpatient OB/GYN offices2010-2013N/AUnavailableN/AN
63
LVHN medical billing databasesconstruct measures of pregnancy and birth outcomesLVHNUnavailableN/AUnavailableN/AY
64
RFID-Enabled Analysis of Care Coordination and
Patient Flow in Ambulatory Care
Yi-Chin Lin, Rema PadmanTime and location stamped datadata was logged every 12 seconds by the communication between RFID badges and monitorsUnavailableUnavailableN/AUnavailableN/AN
65
Antecedents of Electronic Medical Record Systems Roll BackPavlouUnavailableWe use a panel data of hospitals to explore the factors affect the probability of roll back of EMR systems.UnavailableUnavailableN/AUnavailableN/AN
66
Health Information Exchange and Health Care Transitions:
Impact of an integrated Inpatient- Outpatient Electronic Health
Record on Follow-up care after Hospital Discharge
Mary Reed, Jie Huang, Richard Brand, Ilana Graetz,
Marc Jaffe, Dustin Ballard, Romain Neugebauer,
Bruce Fireman, John Hsu
don't mention dataUnavailableUnavailable2005-2011N/AUnavailableN/AN
67
Wearable Digital Health Devices and Wellness Incentive
Programs for Low-Income Americans
Ronald Roachdon't mention dataUnavailableUnavailableUnavailableN/AHIE, EHR, care coordinationN/AN
68
Estimating the Effects of EMR on Medical Billing Practices:
The Role of Hospital Incentives
Sasha Romanosky, Idris Adjerid, Ellerie WeberHealth Care Administration’s (AHCA) administrative claims dataThese data include observations of billed charges from every hospital for all inpatient and outpatient procedures and services provided in the state of Florida during 2005-2011.Florida Agency2005-2011http://www.floridahealthfinder.gov/Researchers/OrderData/order-data.aspxEHR, billingN/AN
69
incorporate hospital financial dataThese data provide annual financial accounting details for facilities, such as costs, revenue and profits.AHCA2005-2011N/AUnavailableN/AN
70
annual EMR adoption ratesThe HIMSS database captures annual measures of information systems adoption of 99 different HealthIT technologies in 18 categories for more than 5300 healthcare providers nationwide.HIMSS HADB2005-2011N/AUnavailableN/AN
71
Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in FloridaSusan F. Lu, Huaxia Ruihistorical physician rating dataUnavailableUnavailableUnavailableRateMDs.comword of mouth, physician ratings, patient selection, quality disclosurephysician name, address, phone, graduation year and online rating over timeY
72
2012 Florida Hospital Discharge dataUnavailableUnavailableUnavailableN/Aword of mouth, physician ratings, patient selection, quality disclosurelicense number of each operating physician as well as basic patient characteristics, i.e., payer types, race, gender, and health outcomes.N
73
hospital informationUnavailableAmerica Hospital Association Annual Survey (AHA) and Hospital CompareUnavailableN/Aword of mouth, physician ratings, patient selection, quality disclosureN/AN
74
market demographicsUnavailableArea Resource Files (ARF)UnavailableN/Aword of mouth, physician ratings, patient selection, quality disclosureN/AN
75
Would you see a doctor just because anonymous patients vouch for him? A longitudinal study on effect of online patient recommendations on doctor’s appointments.Shukladon't mention dataUnavailableUnavailableUnavailableN/Asocial media, transparencyN/AN
76
Heterogeneous Effect of Electronic Medical Records on Hospital EfficiencyRuirui Sunannual survey questions to over 3000 hospitals in the US about information on HIT adoption.Hospitals included in this database are those that are part of certain integrated health delivery systems.HIMSS2001-2008N/AEHR, EMR, efficiecny, hospitalHIT adoption on hospital level, including the type of applications, adoption date, operating status, and adoption plans.Y
77
It is a repeated cross- sectional dataset that resample every year to represent about 20% of the US hospitals each year.It contains discharge level medical information, and demographic information.National Inpatient Sample (NIS)2002-2010N/AUnavailablepatients’ insurance or Medi- care/Medicaid status, and total out-of-pocket charges.N
78
Hospital Referral Region datacapture hospital industry market structureDartmouth AtlasUnavailablehttp://www.dartmouthatlas.orgstructure, hospitalsN/AN
79
Trickle Down to Processes through IT Innovations: A Study about Health IT implementation and Impact on Patient Care at St Joseph Mercy HospitalFabian Fregoli, Mohan Tanniru, Jiban Khuntiadon't mention dataUnavailableUnavailableUnavailableN/AimplementationN/AN
80
CREDIBILITY OF HEALTH INFORMATION – AN ASSESSMENT OF ONLINE DIABETES COMMUNITYVenkatesanUnavailable1200 posts from 40 threads related to Diabetes disease were extracted from the social networking sitea popular social networking siteUnavailableN/Adiabetes, social mediaymptoms, treatments, medications, side effects and other medical issuesN
81
“I DON’T HAVE TIME FOR THAT” EXAMINING THE IMPACT OF TRAINING ON PHYSICIANS’ TASK PERFORMANCEWeberdon't mention dataUnavailableUnavailableUnavailableN/AtrainingN/AN
82
Understanding Health and Health Related Behavior of Users of Internet Health InformationWimblea nationwide in-person surveydemographic and basic health questions and one or more sets of supplemental questions on specific health topics which vary over time based upon topics of current concern.NHISUnavailableN/Ahelath behaviorN/AN
83
Drivers and Deterrents of Affordable Care Act Enrollment: A State Level AnalysisNiam Yaraghi, Darrell M. West,
Ram D. Gopal, Ram Ramesh
We obtained the enrollment numbers at the end of the first open enrollment periodUnavailableHealth and Human Services.UnavailableN/AAffordable Care Act; Health Insurance Enrollment,enrollment numbers, ACA enrollment ratio at the state levelN
85
What Drives the Usage of Secure Messaging: Insights from U.S. Army HospitalsVickee Wolcott, Ritu Agarwal,
Guodong (Gordon) Gao, D. Alan Nelson
don't mention dataUnavailableUnavailableUnavailableN/ASecure messaging, patient engagementN/AN
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106