Home LiteratureArticle Details
PMID: 26667605 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Using Electronic Health Records for Population Health Research: A Review of Methods and Applications.

Annual review of public health ·Vol. 37 ·2016-00-00 ·Pages 61-81

Casey JA, Schwartz BS, Stewart WF, Adler NE

Abstract

The use and functionality of electronic health records (EHRs) have increased rapidly in the past decade. Although the primary purpose of EHRs is clinical, researchers have used them to conduct epidemiologic investigations, ranging from cross-sectional studies within a given hospital to longitudinal studies on geographically distributed patients. Herein, we describe EHRs, examine their use in population health research, and compare them with traditional epidemiologic methods. We describe diverse research applications that benefit from the large sample sizes and generalizable patient populations afforded by EHRs. These have included reevaluation of prior findings, a range of diseases and subgroups, environmental and social epidemiology, stigmatized conditions, predictive modeling, and evaluation of natural experiments. Although studies using primary data collection methods may have more reliable data and better population retention, EHR-based studies are less expensive and require less time to complete. Future EHR epidemiology with enhanced collection of social/behavior measures, linkage with vital records, and integration of emerging technologies such as personal sensing could improve clinical care and population health.

Keywords
EHR electronic health records environmental epidemiology geographic information systems health determinants social epidemiology
MeSH Terms
Age Factors Data Collection/methods Diagnostic Techniques and Procedures Electronic Health Records/statistics & numerical data Environment Epidemiologic Research Design Health Behavior Humans Models, Theoretical Reproducibility of Results Sex Factors Social Environment Socioeconomic Factors Vital Signs
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Casey Joan A
Robert Wood Johnson Foundation Health and Society Scholars Program at the University of California, San Francisco, and the University of California, Berkeley, Berkeley, California 94720-7360; [email protected].
Schwartz Brian S
Departments of Environmental Health Sciences and Epidemiology, Bloomberg School of Public Health, and the Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205; email: [email protected]. | Center for Health Research, Geisinger Health System, Danville, Pennsylvania 17822.
Stewart Walter F
Research, Development and Dissemination, Sutter Health, Walnut Creek, California 94596; email: [email protected].
Adler Nancy E
Center for Health and Community and the Department of Psychiatry, University of California, San Francisco, California 94118; email: [email protected].
References (126)
126 references, click to expand
  1. Mumps, measles, and rubella vaccine and the incidence of autism recorded by general practitioners: a time trend analysis.
    BMJ. 2001 Feb 24;322(7284):460-3 PMID: 11222420
  2. Multi-Ethnic Study of Atherosclerosis: objectives and design.
    Am J Epidemiol. 2002 Nov 1;156(9):871-81 PMID: 12397006
  3. Epidemiology of venous thromboembolism in a Chinese population.
    Br J Surg. 2004 Apr;91(4):424-8 PMID: 15048741
  4. MMR vaccination and pervasive developmental disorders: a case-control study.
    Lancet. 2004 Sep 11-17;364(9438):963-9 PMID: 15364187
  5. Neonatal hyperbilirubinemia and risk of autism spectrum disorders.
    Pediatrics. 2005 Feb;115(2):e135-8 PMID: 15687420
  6. Maternal autoimmune diseases, asthma and allergies, and childhood autism spectrum disorders: a case-control study.
    Arch Pediatr Adolesc Med. 2005 Feb;159(2):151-7 PMID: 15699309
  7. Glucocorticoid use, other associated factors, and the risk of tuberculosis.
    Arthritis Rheum. 2006 Feb 15;55(1):19-26 PMID: 16463407
  8. Allergy, histamine 1 receptor blockers, and the risk of multiple sclerosis.
    Neurology. 2006 Feb 28;66(4):572-5 PMID: 16505314
  9. Use of health care databases in pharmacoepidemiology.
    Basic Clin Pharmacol Toxicol. 2006 Mar;98(3):311-3 PMID: 16611207
  10. Risk factors for psychological and physical health problems after a man-made disaster. Prospective study.
    Br J Psychiatry. 2006 Aug;189:144-9 PMID: 16880484
  11. Bridging the inferential gap: the electronic health record and clinical evidence.
    Health Aff (Millwood). 2007 Mar-Apr;26(2):w181-91 PMID: 17259202
  12. Green neighborhoods, food retail and childhood overweight: differences by population density.
    Am J Health Promot. 2007 Mar-Apr;21(4 Suppl):317-25 PMID: 17465177
  13. Childhood obesity and metabolic imprinting: the ongoing effects of maternal hyperglycemia.
    Diabetes Care. 2007 Sep;30(9):2287-92 PMID: 17519427
  14. Participation rates in epidemiologic studies.
    Ann Epidemiol. 2007 Sep;17(9):643-53 PMID: 17553702
  15. Sexual abuse survivors and psychiatric hospitalization after bariatric surgery.
    Obes Surg. 2007 Apr;17(4):465-9 PMID: 17608258
  16. Psychiatric disorders, HIV infection and HIV/hepatitis co-infection in the correctional setting.
    AIDS Care. 2008 Jan;20(1):124-9 PMID: 18278623
  17. Cohort Profile: The Diabetes Study of Northern California (DISTANCE)--objectives and design of a survey follow-up study of social health disparities in a managed care population.
    Int J Epidemiol. 2009 Feb;38(1):38-47 PMID: 18326513
  18. Prevalence and predictors of perinatal hemorrhagic stroke: results from the kaiser pediatric stroke study.
    Pediatrics. 2009 Mar;123(3):823-8 PMID: 19255009
  19. Weather and air pollution as triggers of severe headaches.
    Neurology. 2009 Mar 10;72(10):922-7 PMID: 19273827
  20. An electronic practice-based network for observational comparative effectiveness research.
    Ann Intern Med. 2009 Sep 1;151(5):338-40 PMID: 19638402
  21. Longitudinal histories as predictors of future diagnoses of domestic abuse: modelling study.
    BMJ. 2009 Sep 29;339:b3677 PMID: 19789406
  22. Morbidity is related to a green living environment.
    J Epidemiol Community Health. 2009 Dec;63(12):967-73 PMID: 19833605
  23. Obstructive sleep apnea as a risk factor for type 2 diabetes.
    Am J Med. 2009 Dec;122(12):1122-7 PMID: 19958890
  24. Body weight and height data in electronic medical records of children.
    Int J Pediatr Obes. 2010 May 3;5(3):237-42 PMID: 19961272
  25. Using Geographic Information Systems (GIS) to assess outcome disparities in patients with type 2 diabetes and hyperlipidemia.
    J Am Board Fam Med. 2010 Jan-Feb;23(1):88-96 PMID: 20051547
  26. Predicting virologic failure in an HIV clinic.
    Clin Infect Dis. 2010 Mar 1;50(5):779-86 PMID: 20121574
  27. Body mass index at the time of diagnosis and the risk of advanced stages and poorly differentiated cancers of the breast: findings from a case-series study.
    Int J Obes (Lond). 2010 Sep;34(9):1381-6 PMID: 20351736
  28. Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches.
    Med Care. 2010 Jun;48(6 Suppl):S106-13 PMID: 20473190
  29. The "meaningful use" regulation for electronic health records.
    N Engl J Med. 2010 Aug 5;363(6):501-4 PMID: 20647183
  30. Respiratory morbidity in late preterm births.
    JAMA. 2010 Jul 28;304(4):419-25 PMID: 20664042
  31. Asian Americans have greater prevalence of metabolic syndrome despite lower body mass index.
    Int J Obes (Lond). 2011 Mar;35(3):393-400 PMID: 20680014
  32. Adult asthma exacerbations and environmental triggers: a retrospective review of ED visits using an electronic medical record.
    Am J Emerg Med. 2011 Nov;29(9):1074-82 PMID: 20708875
  33. Is deidentification sufficient to protect health privacy in research?
    Am J Bioeth. 2010 Sep;10(9):3-11 PMID: 20818545
  34. The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.
    BMC Med Genomics. 2011 Jan 26;4:13 PMID: 21269473
  35. Heterogeneity of diabetes outcomes among asians and pacific islanders in the US: the diabetes study of northern california (DISTANCE).
    Diabetes Care. 2011 Apr;34(4):930-7 PMID: 21350114
  36. Using electronic health records to drive discovery in disease genomics.
    Nat Rev Genet. 2011 Jun;12(6):417-28 PMID: 21587298
  37. Electronic medical records (EMRs), epidemiology, and epistemology: reflections on EMRs and future pediatric clinical research.
    Acad Pediatr. 2011 Jul-Aug;11(4):280-7 PMID: 21622040
  38. Increased risk of myocardial infarction in depressed patients with type 2 diabetes.
    Diabetes Care. 2011 Aug;34(8):1729-34 PMID: 21680721
  39. Risk of Herpes zoster in patients with underlying diseases: a retrospective hospital-based cohort study.
    Infection. 2011 Dec;39(6):537-44 PMID: 21800108
  40. Association of late-preterm birth with asthma in young children: practice-based study.
    Pediatrics. 2011 Oct;128(4):e830-8 PMID: 21911345
  41. Body mass index and the built and social environments in children and adolescents using electronic health records.
    Am J Prev Med. 2011 Oct;41(4):e17-28 PMID: 21961475
  42. Adoption of electronic health records in Korean tertiary teaching and general hospitals.
    Int J Med Inform. 2012 Mar;81(3):196-203 PMID: 22206619
  43. The methods of comparative effectiveness research.
    Annu Rev Public Health. 2012 Apr;33:425-45 PMID: 22224891
  44. Higher prevalence of obesity among children with asthma.
    Obesity (Silver Spring). 2012 May;20(5):1041-7 PMID: 22252049
  45. Pediatric obesity and gallstone disease.
    J Pediatr Gastroenterol Nutr. 2012 Sep;55(3):328-33 PMID: 22314396
  46. Place matters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE).
    Soc Sci Med. 2012 Apr;74(7):1082-90 PMID: 22373821
  47. New models for large prospective studies: is there a better way?
    Am J Epidemiol. 2012 May 1;175(9):859-66 PMID: 22411865
  48. Using body mass index data in the electronic health record to calculate cardiovascular risk.
    Am J Prev Med. 2012 Apr;42(4):342-7 PMID: 22424246
  49. From patients to partners: participant-centric initiatives in biomedical research.
    Nat Rev Genet. 2012 Apr 03;13(5):371-6 PMID: 22473380
  50. Using EHRs to integrate research with patient care: promises and challenges.
    J Am Med Inform Assoc. 2012 Sep-Oct;19(5):684-7 PMID: 22542813
  51. Mining electronic health records: towards better research applications and clinical care.
    Nat Rev Genet. 2012 May 02;13(6):395-405 PMID: 22549152
  52. Q fever and pneumonia in an area with a high livestock density: a large population-based study.
    PLoS One. 2012;7(6):e38843 PMID: 22685612
  53. Epilepsy, suicidality, and psychiatric disorders: a bidirectional association.
    Ann Neurol. 2012 Aug;72(2):184-91 PMID: 22887468
  54. OBAYA (obesity and adverse health outcomes in young adults): feasibility of a population-based multiethnic cohort study using electronic medical records.
    Popul Health Metr. 2012 Aug 21;10(1):15 PMID: 22909293
  55. Baseline characteristics and mortality among people in care for chronic viral hepatitis: the chronic hepatitis cohort study.
    Clin Infect Dis. 2013 Jan;56(1):40-50 PMID: 22990852
  56. Impact of a comprehensive smoke-free law following a partial smoke-free law on incidence of heart attacks at a rural community hospital.
    Nicotine Tob Res. 2013 Mar;15(3):745-7 PMID: 23024248
  57. Lifetime risk and years lived free of total cardiovascular disease.
    JAMA. 2012 Nov 7;308(17):1795-801 PMID: 23117780
  58. Time for a creative transformation of epidemiology in the United States.
    JAMA. 2012 Nov 7;308(17):1804-5 PMID: 23117782
  59. A piece of my mind: The unasked question.
    JAMA. 2012 Nov 14;308(18):1869-70 PMID: 23150007
  60. A survey of primary care doctors in ten countries shows progress in use of health information technology, less in other areas.
    Health Aff (Millwood). 2012 Dec;31(12):2805-16 PMID: 23154997
  61. Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER).
    Int J Epidemiol. 2012 Dec;41(6):1625-38 PMID: 23220717
  62. Improved cardiovascular risk prediction using nonparametric regression and electronic health record data.
    Med Care. 2013 Mar;51(3):251-8 PMID: 23269109
  63. The contextual influence of coal abandoned mine lands in communities and type 2 diabetes in Pennsylvania.
    Health Place. 2013 Jul;22:115-22 PMID: 23689181
  64. "Let's get the best quality research we can": public awareness and acceptance of consent to use existing data in health research: a systematic review and qualitative study.
    BMC Med Res Methodol. 2013 Jun 04;13:72 PMID: 23734773
  65. Trends in community violence in England and Wales 2005-2009.
    Injury. 2014 Mar;45(3):592-8 PMID: 23867145
  66. Patient and public views on electronic health records and their uses in the United kingdom: cross-sectional survey.
    J Med Internet Res. 2013 Aug 23;15(8):e160 PMID: 23975239
  67. High-density livestock operations, crop field application of manure, and risk of community-associated methicillin-resistant Staphylococcus aureus infection in Pennsylvania.
    JAMA Intern Med. 2013 Nov 25;173(21):1980-90 PMID: 24043228
  68. Chickenpox and risk of stroke: a self-controlled case series analysis.
    Clin Infect Dis. 2014 Jan;58(1):61-8 PMID: 24092802
  69. Association of testosterone therapy with mortality, myocardial infarction, and stroke in men with low testosterone levels.
    JAMA. 2013 Nov 6;310(17):1829-36 PMID: 24193080
  70. EHR adoption across China's tertiary hospitals: a cross-sectional observational study.
    Int J Med Inform. 2014 Feb;83(2):113-21 PMID: 24262068
  71. Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis.
    Pediatrics. 2014 Jan;133(1):e54-63 PMID: 24323995
  72. Depressive symptom clusters as predictors of incident coronary artery disease: a 15-year prospective study.
    Psychosom Med. 2014 Jan;76(1):38-43 PMID: 24367122
  73. Shared familial transmission of autism spectrum and attention-deficit/hyperactivity disorders.
    J Child Psychol Psychiatry. 2014 Jul;55(7):819-27 PMID: 24444366
  74. Chlamydia detection during the menstrual cycle: a cross-sectional study of women attending a sexual health service.
    PLoS One. 2014 Jan 27;9(1):e85263 PMID: 24475042
  75. Carrell et al. respond to "Observational research and the EHR".
    Am J Epidemiol. 2014 Mar 15;179(6):762-3 PMID: 24488509
  76. How outcomes are achieved through patient portals: a realist review.
    J Am Med Inform Assoc. 2014 Jul-Aug;21(4):751-7 PMID: 24503882
  77. Mortality among persons in care with hepatitis C virus infection: the Chronic Hepatitis Cohort Study (CHeCS), 2006-2010.
    Clin Infect Dis. 2014 Apr;58(8):1055-61 PMID: 24523214
  78. Seasonality of asthma: a retrospective population study.
    Pediatrics. 2014 Apr;133(4):e923-32 PMID: 24616356
  79. Differences in risk factors for incident and recurrent small-for-gestational-age birthweight: a hospital-based cohort study.
    BJOG. 2014 Aug;121(9):1080-8; discussion 1089 PMID: 24702952
  80. Accuracy of phenotyping chronic rhinosinusitis in the electronic health record.
    Am J Rhinol Allergy. 2014 Mar-Apr;28(2):140-4 PMID: 24717952
  81. Acute air pollution exposure and blood pressure at delivery among women with and without hypertension.
    Am J Hypertens. 2015 Jan;28(1):58-72 PMID: 24795401
  82. Sociodemographic characteristics and chronic medical conditions as risk factors for herpes zoster: a population-based study from primary care in Madrid (Spain).
    Hum Vaccin Immunother. 2014;10(6):1650-60 PMID: 24805130
  83. Low socioeconomic status is associated with increased risk for hypoglycemia in diabetes patients: the Diabetes Study of Northern California (DISTANCE).
    J Health Care Poor Underserved. 2014 May;25(2):478-90 PMID: 24858863
  84. Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people.
    Lancet. 2014 May 31;383(9932):1899-911 PMID: 24881994
  85. Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis.
    BMC Med Inform Decis Mak. 2014 May 08;14:36 PMID: 24886134
  86. HIV and child mental health: a case-control study in Rwanda.
    Pediatrics. 2014 Aug;134(2):e464-72 PMID: 25049342
  87. More than half of US hospitals have at least a basic EHR, but stage 2 criteria remain challenging for most.
    Health Aff (Millwood). 2014 Sep;33(9):1664-71 PMID: 25104826
  88. Intimate partner violence increases adverse outcomes at birth and in early infancy.
    J Pediatr. 2014 Nov;165(5):1034-9 PMID: 25128162
  89. Socioeconomic deprivation and the incidence of 12 cardiovascular diseases in 1.9 million women and men: implications for risk prediction and prevention.
    PLoS One. 2014 Aug 21;9(8):e104671 PMID: 25144739
  90. Women with celiac disease present with fertility problems no more often than women in the general population.
    Gastroenterology. 2014 Dec;147(6):1267-74.e1; quiz e13-4 PMID: 25157666
  91. Characteristics of walkable built environments and BMI z-scores in children: evidence from a large electronic health record database.
    Environ Health Perspect. 2014 Dec;122(12):1359-65 PMID: 25248212
  92. Risk factors for pancreatic neuroendocrine tumors: a clinic-based case-control study.
    Pancreas. 2014 Nov;43(8):1219-22 PMID: 25291526
  93. Community socioeconomic deprivation and obesity trajectories in children using electronic health records.
    Obesity (Silver Spring). 2015 Jan;23(1):207-12 PMID: 25324223
  94. Development of an electronic medical record based alert for risk of HIV treatment failure in a low-resource setting.
    PLoS One. 2014 Nov 12;9(11):e112261 PMID: 25390044
  95. Heterogeneous associations between smoking and a wide range of initial presentations of cardiovascular disease in 1937360 people in England: lifetime risks and implications for risk prediction.
    Int J Epidemiol. 2015 Feb;44(1):129-41 PMID: 25416721
  96. Controlled direct effects of preeclampsia on neonatal health after accounting for mediation by preterm birth.
    Epidemiology. 2015 Jan;26(1):17-26 PMID: 25437315
  97. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people.
    Lancet Diabetes Endocrinol. 2015 Feb;3(2):105-13 PMID: 25466521
  98. Prediction of hospitalization due to heart diseases by supervised learning methods.
    Int J Med Inform. 2015 Mar;84(3):189-97 PMID: 25497295
  99. Sparse modeling of spatial environmental variables associated with asthma.
    J Biomed Inform. 2015 Feb;53:320-9 PMID: 25533437
  100. Impact of antenatal depression on perinatal outcomes and postpartum depression in Korean women.
    J Res Med Sci. 2014 Sep;19(9):807-12 PMID: 25535492
  101. Cardiovascular risk prediction models for people with severe mental illness: results from the prediction and management of cardiovascular risk in people with severe mental illnesses (PRIMROSE) research program.
    JAMA Psychiatry. 2015 Feb;72(2):143-51 PMID: 25536289
  102. Linking electronic health records with community-level data to understand childhood obesity risk.
    Pediatr Obes. 2015 Dec;10(6):436-41 PMID: 25559099
  103. Monitoring suicidal patients in primary care using electronic health records.
    J Am Board Fam Med. 2015 Jan-Feb;28(1):65-71 PMID: 25567824
  104. Factors associated with daily consumption of sugar-sweetened beverages among adult patients at four federally qualified health centers, Bronx, New York, 2013.
    Prev Chronic Dis. 2015 Jan 08;12:E02 PMID: 25569695
  105. Uses of electronic health records for public health surveillance to advance public health.
    Annu Rev Public Health. 2015 Mar 18;36:345-59 PMID: 25581157
  106. Preconception and early pregnancy air pollution exposures and risk of gestational diabetes mellitus.
    Environ Res. 2015 Feb;137:316-22 PMID: 25601734
  107. Visual impairment is associated with physical and mental comorbidities in older adults: a cross-sectional study.
    BMC Med. 2014 Oct 17;12:181 PMID: 25603915
  108. Quantifying the risk of multiple myeloma from symptoms reported in primary care patients: a large case-control study using electronic records.
    Br J Gen Pract. 2015 Feb;65(631):e106-13 PMID: 25624306
  109. A new initiative on precision medicine.
    N Engl J Med. 2015 Feb 26;372(9):793-5 PMID: 25635347
  110. Electronic health records in mental health research: a framework for developing valid research methods.
    Psychiatr Serv. 2015 Feb 1;66(2):193-6 PMID: 25642614
  111. Clinical characteristics and precipitating factors of adolescent suicide attempters admitted for psychiatric inpatient care in South Korea.
    Psychiatry Investig. 2015 Jan;12(1):29-36 PMID: 25670943
  112. Patients in context--EHR capture of social and behavioral determinants of health.
    N Engl J Med. 2015 Feb 19;372(8):698-701 PMID: 25693009
  113. Commentary: Epidemiology in the era of big data.
    Epidemiology. 2015 May;26(3):390-4 PMID: 25756221
  114. Racial/ethnic and socioeconomic differences in short-term breast cancer survival among women in an integrated health system.
    Am J Public Health. 2015 May;105(5):938-46 PMID: 25790426
  115. A clinical perspective on the relevance of research domain criteria in electronic health records.
    Am J Psychiatry. 2015 Apr;172(4):316-20 PMID: 25827030
  116. BMI and risk of dementia in two million people over two decades: a retrospective cohort study.
    Lancet Diabetes Endocrinol. 2015 Jun;3(6):431-436 PMID: 25866264
  117. Medicine. Brain disorders? Precisely.
    Science. 2015 May 1;348(6234):499-500 PMID: 25931539
  118. Detecting unplanned care from clinician notes in electronic health records.
    J Oncol Pract. 2015 May;11(3):e313-9 PMID: 25980019
  119. Risk for Type 2 Diabetes Mellitus: Person, Place, and Precision Prevention.
    JAMA Intern Med. 2015 Aug;175(8):1321-2 PMID: 26120971
  120. Respiratory and allergic health effects in a young population in proximity of a major industrial park in Oman.
    J Epidemiol Community Health. 2016 Feb;70(2):174-80 PMID: 26359504
  121. Unconventional Natural Gas Development and Birth Outcomes in Pennsylvania, USA.
    Epidemiology. 2016 Mar;27(2):163-72 PMID: 26426945
  122. Medicare and Medicaid Programs; Electronic Health Record Incentive Program--Stage 3 and Modifications to Meaningful Use in 2015 Through 2017. Final rules with comment period.
    Fed Regist. 2015 Oct 16;80(200):62761-955 PMID: 26477064
  123. Social conditions as fundamental causes of disease.
    J Health Soc Behav. 1995;Spec No:80-94 PMID: 7560851
  124. Choosing a future for epidemiology: II. From black box to Chinese boxes and eco-epidemiology.
    Am J Public Health. 1996 May;86(5):674-7 PMID: 8629718
  125. Linking automated databases for research in managed care settings.
    Ann Intern Med. 1997 Oct 15;127(8 Pt 2):719-24 PMID: 9382386
  126. Early adiposity rebound and the risk of adult obesity.
    Pediatrics. 1998 Mar;101(3):E5 PMID: 9481024
Article Info
Journal
Annual review of public health
Abbr.
Annu Rev Public Health
ISSN
1545-2093
Published
2016-00-00
Epub
2015-00-11
Pages
61-81
Language
English
Region
United States
NLM ID
8006431
PMCID
PMC6724703
Subset
IM
Grants
NIEHS NIH HHS · K99 ES027023 · United States
NIEHS NIH HHS · R00 ES027023 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]