PEMANTAUAN PASIEN KRITIS BERBASIS MEWS UNTUK DETEKSI DINI MELALUI ANALISIS LAJU PERNAPASAN DAN DETAK JANTUNG
Keywords:
Modified Early Warning Score, Laju Pernapasan, Detak Jantung, Deteksi DiniAbstract
Keselamatan pasien menjadi aspek penting dalam pelayanan kesehatan, terutama bagi pasien kritis yang membutuhkan pemantauan intensif untuk mencegah komplikasi serius atau kematian mendadak. Modified Early Warning Score (MEWS) merupakan metode sistematis yang dapat digunakan untuk menilai tingkat kegawatan pasien secara cepat. Penelitian ini bertujuan mengembangkan sistem pemantauan tingkat kekritisan pasien berbasis MEWS dengan fokus pada laju pernapasan dan detak jantung. Sensor piezoelectric digunakan untuk mengukur laju pernapasan, sedangkan MAX30100 digunakan untuk mendeteksi detak jantung. Data dikirimkan secara nirkabel melalui ESP32 menggunakan koneksi Bluetooth menuju Personal Computer (PC) dan diolah untuk menghasilkan skor MEWS. Pengujian dilakukan untuk mengevaluasi akurasi sensor dan kemampuan transmisi data. Hasil menunjukkan nilai error terbesar pada laju pernapasan sebesar 0,0769% dan pada detak jantung sebesar 0,00888%. Sistem mampu mengirimkan data secara stabil hingga jarak 10 meter. Sistem ini terbukti mampu melakukan deteksi dini kondisi kritis dan berpotensi meningkatkan keselamatan pasien.
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References
C. P. Subbe, M. Kruger, P. Rutherford, and L. Gemmel, “Original papers QJM Validation of a modified Early Warning Score in medical admissions,” pp. 521–526, 2001.
N. Alam, E. L. Hobbelink, A. J. Van Tienhoven, P. M. Van De Ven, E. P. Jansma, and P. W. B. Nanayakkara, “The impact of the use of the Early Warning Score ( EWS ) on patient outcomes : A systematic review ଝ,” Resuscitation, vol. 85, no. 5, pp. 587–594, 2014, doi: 10.1016/j.resuscitation.2014.01.013.
M. Buist, S. Bernard, T. V Nguyen, G. Moore, and J. Anderson, “Association between clinically abnormal observations and subsequent in-hospital mortality : a prospective study,” vol. 62, pp. 137–141, 2004, doi: 10.1016/j.resuscitation.2004.03.005.
V. C. Burch, G. Tarr, and C. Morroni, “Modified early warning score predicts the need for hospital admission and inhospital mortality,” pp. 674–678, 2008, doi: 10.1136/emj.2007.057661.
S. M. R. Islam, D. Kwak, and H. Kabir, “The Internet of Things for Health Care : A Comprehensive Survey,” vol. 3, 2015.
A. S. Review, “IoT Adoption and Application for Smart Healthcare: ASystematic Review,” pp. 1–28, 2022.
S. Majumder, T. Mondal, and M. J. Deen, “Wearable Sensors for Remote Health Monitoring,” 2017, doi: 10.3390/s17010130.
L. Nahar, “IOT Based ICU Patient Health Monitoring System,” 2020.
P. Kakria, N. K. Tripathi, and P. Kitipawang, “A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors,” vol. 2015, 2015.
N. N. Sari, M. N. Gani, R. Aprilia, M. Yusuf, and R. Firmando, “Telemedicine for silent hypoxia : Improving the reliability and accuracy of Max30100-based system,” vol. 22, no. 3, pp. 1419–1426, 2021, doi: 10.11591/ijeecs.v22.i3.pp1419-1426.
R. Patil, “IOT BASED REAL TIME BPM AND SPO2 MONITORING AND ALERT SYSTEM USING MAX 30102,” no. May, pp. 247–251, 2024, doi: 10.1109/MetroInd4.0I.
S. M. Id, E. Aghayi, M. Noferesti, and H. Memarzadeh-tehran, “Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges,” doi: 10.3390/s17112496.
A. Rasheed, E. Iranmanesh, W. Li, Y. Xu, Q. Zhou, and H. Ou, “An Active Self-Driven Piezoelectric Sensor Enabling Real-Time Respiration Monitoring,” pp. 1–10, 2019.
K. Lei, Y. Hsieh, Y. Chiu, and M. Wu, “The Structure Design of Piezoelectric Poly(vinylidene Fluoride) (PVDF) Polymer-Based Sensor Patch for the Respiration Monitoring under Dynamic Walking Conditions,” pp. 18801–18812, 2015, doi: 10.3390/s150818801.
K. Nikita, “Android based Portable Health Support System,” vol. 9, no. 04, pp. 511–516, 2020.
H. J. Hassaballah and R. A. Fayadh, “Implementation of wireless sensor network for medical applications,” IOP Conf. Ser. Mater. Sci. Eng., vol. 745, no. 1, 2020, doi: 10.1088/1757-899X/745/1/012089.
M. Haerinia, “Wireless Power Transfer Approaches for Medical Implants : A Review,” no. D, pp. 209–229, 2020.
Z. Defne et al., “Modified Early Warning Score and VitalPac Early Warning Score in geriatric patients admitted to emergency department,” pp. 1–7, 2015, doi: 10.1097/MEJ.0000000000000274.
A. Wang, C. Fang, S. Chen, S. Tsai, and W. Kao, “ScienceDirect Periarrest Modified Early Warning Score ( MEWS ) predicts the outcome of in-hospital cardiac arrest,” J. Formos. Med. Assoc., vol. 115, no. 2, pp. 76–82, 2016, doi: 10.1016/j.jfma.2015.10.016.
M. Marshall and J. Rathbone, “Early Intervention for psychosis ( Review ),” no. 3, 2010.
G. B. Smith, D. R. Prytherch, P. Meredith, P. E. Schmidt, and P. I. Featherstone, “The ability of the National Early Warning Score ( NEWS ) to discriminate patients at risk of early cardiac arrest , unanticipated intensive care unit admission , and death ଝ,” Resuscitation, vol. 84, no. 4, pp. 465–470, 2013, doi: 10.1016/j.resuscitation.2012.12.016.
A. Stolze, T. N. M. Woolley-hendriks, Y. Bassa, R. De Vries, C. Boer, and P. G. Noordzij, “International Journal of Nursing Studies Advances The effect of early warning scoring systems on adverse outcome in surgical patients : A systematic review,” vol. 7, no. October, 2024.
C. P. Subbe and D. A. Harrison, “Reproducibility of physiological track-and-trigger warning systems for identifying at-risk patients on the ward,” pp. 619–624, 2007, doi: 10.1007/s00134-006-0516-8.
H. B. Nguyen et al., “Implementation of abundle of quality indicators for the early management of severe sepsis and septic shock is associated with decreased mortality,” vol. 35, no. 4, 2007, doi: 10.1097/01.CCM.0000259463.33848.3D.
M. Jones, “NEWSDIG : The National Early Warning Score Development and Implementation Group,” vol. 12, no. 6, pp. 501–503, 2012.
Williams B, National Early Warning Score (NEWS) 2 Standardising the assessment of acute-illness severity in the NHS, vol. 2, no. December. 2017.
D. J. MCGAUGHEY and P. S. PORTER, “EARLY WARNING SYSTEMS AND RAPID RESPONSE TO THE DETERIORATING PATIENT IN HOSPITAL: A SYSTEMATIC REALIST REVIEW,” J. Adv. Nursingdvanced Nurs., vol. 73, no. 12, pp. 2877–2891, 2017, doi: 10.1111/ijlh.12426.
H. Krowchuk, “Prevention of Unplanned Intensive Care Unit Admissions and Hospital Mortality by Early Warning Systems,” vol. 32, no. 6, 2013, doi: 10.1097/DCC.0000000000000004.
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