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Sensible decision-support is gaining unlimited attention as in health check institutions and established to a deceased turn towards utilize information management for effective and resourceful healthcare delivery and quality secured outcomes. Quantifiable Data can be created based on effective Data Integrity, Data Management, Rule Prediction and Work Optimization Techniques as parts of knowledge management in need environments. Data originates from collection of separate healthcare files which are then entered into individual flat file. Data Warehouse transforms this file into a multidimensional data model that can be efficiently navigated for global patterns and trends except for personal information, all other dimensions were composed of attributes recorded for each visit or test.Managing and exploring vast collections of heterogeneous data is common place in the large health check organizations.
| Autorius: | Meenaatchi Kannan, K. Rajeswari Sureshkumar, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 52 |
| ISBN-10: | 6138390121 |
| ISBN-13: | 9786138390121 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Information Therapy Intended for Quantifiable Scientist“
