Digital patient record for remote monitoring of intraocular pressure, blood pressure and serum glucose teletonometry in Mecklenburg-Vorpommern

被引:11
|
作者
Juergens, C.
Antal, S.
Heydenreich, F.
Sell, C.
Tost, F.
机构
[1] Univ Greifswald, Univ Klinikum, Klin & Poliklin Augenheilkunde, D-17475 Greifswald, Germany
[2] Dr Heydenreich GmbH, Greifswald, Germany
关键词
electronic patient record; telemedicine; medical telematics; glaucoma; home monitoring; self-tonometry; hypertension; tonometry;
D O I
10.1055/s-2006-926810
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Background: At the University Eye Hospital of Greifswald, we have developed a digital patient record that allows close monitoring of glaucoma, diabetes and hypertension. The record stores contemporary, long-term profiles containing intraday variation and interaction of intraocular pressure, blood pressure and serum glucose levels even at night. Methods: All patients are equipped with a home monitoring system. They subsequently transmit self-measurements via the "telemedical interface" to the server. Physicians use a web front-end to access electronic patient records; this provides a PDF export filter for printing. We intend to include a total number of 120 patients from Mecklenburg-Vorpommern who suffer from glaucoma possibly combined with hypertension/diabetes. This long-term investigation was designed as a randomised cross-over study in two groups. Results: Especially for this project an electronic patient record was developed and implemented. The components of the home monitoring system were modified and connected to a custom-built "telemedical interface". To date the study includes 120 patients, 60 of whom constantly measure and transmit their values to the electronic patient record, while the others are treated without home monitoring. All self-measurements are presented in a tabular form. In addition, dynamically generated graphics provide a diagrammatic view of all values. On demand, a detailed protocol for every single measurement report allows a comprehensive evaluation of the quality of the self-measurements. Ocular perfusion pressure is calculated automatically from intraocular pressure and blood pressure. The presented system documents continuously all information that is relevant for treatment and provides fast access for all attending physicians. Conclusions: Central data collection and unlocalised access improve information exchange between involved physicians. Flexible measurement periods allow the detection of pressure spikes even at night. In addition, this may help to classify glaucoma (normal-pressure glaucoma) and its causal connection to blood pressure. The patients benefit from individualised therapy adaptation and early therapeutic intervention in case of critical parameters.
引用
收藏
页码:757 / 764
页数:8
相关论文
共 39 条
  • [31] PATIENT ENGAGEMENT WITH HOME BLOOD PRESSURE MONITORING IN A REMOTE HYPERTENSION MANAGEMENT PROGRAM: HOW MANY MEASUREMENTS DO PATIENTS TAKE AT HOME?
    Unlu, Ozan
    Zelle, David
    Cannon, Christopher P.
    Lee, Simin
    McPartlin, Marian
    Subramaniam, Samantha
    Tucci, Michela
    Oates, Michael
    Scirica, Benjamin M.
    Fisher, Naomi D. L.
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2024, 83 (13) : 1873 - 1873
  • [32] Masked Hypertension Defined by Ambulatory Blood Pressure Monitoring Is Associated With an Increased Serum Glucose Level and Urinary Albumin-Creatinine Ratio
    Ishikawa, Joji
    Hoshide, Satoshi
    Eguchi, Kazuo
    Schwartz, Joseph E.
    Pickering, Thomas G.
    Shimada, Kazuyuki
    Kario, Kazuomi
    JOURNAL OF CLINICAL HYPERTENSION, 2010, 12 (08): : 578 - 587
  • [33] Trust and Uncertainty in the Implementation of a Pilot Remote Blood Pressure Monitoring Program in Primary Care: Qualitative Study of Patient and Health Care Professional Views
    Chew, Evelyn
    Teo, Sok Huang
    Tang, Wern Ee
    Ng, David Wei Liang
    Koh, Gerald Choon Huat
    Teo, Valerie Hui Ying
    JMIR HUMAN FACTORS, 2023, 10
  • [34] A pilot randomized trial of automatic, artificial intelligence-based vs manual, electronic medical record-based remote postpartum blood pressure monitoring
    Lewkowitz, Adam K.
    Baker, Rackeem
    Schlichting, Lauren E.
    Ware, Crystal F.
    Rousseau, Janet
    Miller, Emily S.
    Hauspurg, Alisse
    Rouse, Dwight J.
    Richardson, Caroline
    Gutman, Roee
    Tuuli, Methodius G.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2024, 231 (03)
  • [35] COMPARATIVE ASSESSMENT OF THE EFFECTIVENESS OF THE REMOTE MONITORING OF OUT-PATIENTS WITH ARTERIAL HYPERTENSION IN THE ACHIEVEMENT OF TARGET BLOOD PRESSURE AND SERUM LOW-DENSITY LIPOPROTEINS
    Starodubtseva, I.
    Sharapova, Y.
    ATHEROSCLEROSIS, 2021, 331 : E155 - E155
  • [36] REMOTE PATIENT MONITORING IN ACUTE MEDICAL CONDITIONS; CAN DIGITAL HEALTH SOLUTIONS REDUCE CLINICIAN WORKLOAD AND EASE THE PRESSURE ON HEALTHCARE PROVIDERS DURING THE COVID CRISIS?
    Shah, S.
    Gvozdanovic, A.
    Knight, M.
    Gagnon, J.
    VALUE IN HEALTH, 2020, 23 : S582 - S582
  • [37] Blood Pressure Outcomes After 9 Months With Remote Patient Monitoring For Hypertension in Primary Care: A Prospective Cohort Study in Electronic Health Records Using Propensity Score Matching
    Persell, Stephen D.
    Petito, Lucia
    Lee, Ji Young
    Peprah, Yaw
    Anthony, Lauren
    Li, Jim
    Sato, Hironori
    CIRCULATION, 2022, 146
  • [38] Blood Pressure Outcomes After 12 Months in Primary Care: A Prospective Cohort Study in Electronic Health Records Using Propensity Score Matching for Remote Patient Monitoring for Hypertension
    Petito, Lucia
    Lee, Ji Young
    Peprah, Yaw
    Anthony, Lauren
    Li, Jim
    Sato, Hironori
    Persell, Stephen D.
    CIRCULATION, 2023, 147
  • [39] The Impact of a Remote Patient Monitoring Program on Blood Pressure Control, Glycemic Control, and Lipids in Patients With Hypertension: A 3.5-year Retrospective Analysis Across 39 Physician Practices
    Wang, Li
    Liu, Zhiyu
    Ghamrawi, Nina
    Liu, Shuo
    Wong, Nathan
    CIRCULATION, 2022, 146